Literature DB >> 25567701

Surveillance for severe acute respiratory infections (SARI) in hospitals in the WHO European region - an exploratory analysis of risk factors for a severe outcome in influenza-positive SARI cases.

Tamara J Meerhoff1, Artan Simaku2, Dritan Ulqinaku3, Liana Torosyan4, Natalia Gribkova5, Veronica Shimanovich6, Giorgi Chakhunashvili7, Irakli Karseladze8, Aizhan Yesmagambetova9, Ainagul Kuatbayeva10, Zuridin Nurmatov11, Dinagul Otorbaeva12, Emilia Lupulescu13, Odette Popovici14, Elizaveta Smorodintseva15, Anna Sominina16, Olga Holubka17, Olga Onyshchenko18, Caroline S Brown19, Diane Gross20.   

Abstract

BACKGROUND: The 2009 H1N1 pandemic highlighted the need to routinely monitor severe influenza, which lead to the establishment of sentinel hospital-based surveillance of severe acute respiratory infections (SARI) in several countries in Europe. The objective of this study is to describe characteristics of SARI patients and to explore risk factors for a severe outcome in influenza-positive SARI patients.
METHODS: Data on hospitalised patients meeting a syndromic SARI case definition between 2009 and 2012 from nine countries in Eastern Europe (Albania, Armenia, Belarus, Georgia, Kazakhstan, Kyrgyzstan, Romania, Russian Federation and Ukraine) were included in this study. An exploratory analysis was performed to assess the association between risk factors and a severe (ICU, fatal) outcome in influenza-positive SARI patients using a multivariate logistic regression analysis.
RESULTS: Nine countries reported a total of 13,275 SARI patients. The majority of SARI patients reported in these countries were young children. A total of 12,673 SARI cases (95%) were tested for influenza virus and 3377 (27%) were laboratory confirmed. The majority of tested SARI cases were from Georgia, the Russian Federation and Ukraine and the least were from Kyrgyzstan. The proportion positive varied by country, season and age group, with a tendency to a higher proportion positive in the 15+ yrs age group in six of the countries. ICU admission and fatal outcome were most often recorded for influenza-positive SARI cases aged > 15 yrs. An exploratory analysis using pooled data from influenza-positive SARI cases in three countries showed that age > 15 yrs, having lung, heart, kidney or liver disease, and being pregnant were independently associated with a fatal outcome.
CONCLUSIONS: Countries in Eastern Europe have been able to collect data through routine monitoring of severe influenza and results on risk factors for a severe outcome in influenza-positive SARI cases have identified several risk groups. This is especially relevant in the light of an overall low vaccination uptake and antiviral use in Eastern Europe, since information on risk factors will help in targeting and prioritising vulnerable populations.

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Mesh:

Year:  2015        PMID: 25567701      PMCID: PMC4314771          DOI: 10.1186/s12879-014-0722-x

Source DB:  PubMed          Journal:  BMC Infect Dis        ISSN: 1471-2334            Impact factor:   3.090


Background

Surveillance of influenza is important for determining the timing and spread of influenza, for tracking changes in circulating influenza viruses to inform seasonal influenza vaccine composition, and as an alert mechanism for potential pandemic viruses [1]. One of the gaps in influenza surveillance highlighted during the 2009 pandemic was the lack of systems that routinely monitor severe influenza. There was also limited timely information on risk factors associated with a severe outcome in hospitalised patients with influenza. A recent evaluation of 2009 pandemic and seasonal influenza epidemics due to A(H1N1) and A(H3N2) viruses has shown that the morbidity by age group was similar, but that young age was an important risk factor for death only during the 2009 H1N1 pandemic [2]. In addition, obesity and pregnancy were identified as risk factors for a severe outcome of influenza A(H1N1)pdm09 infection compared to seasonal influenza [3] and having an underlying disease was a risk factor for a severe outcome due to pandemic and seasonal influenza viruses [4-7]. However, most of the studies on risk factors for a severe outcome of influenza that are available are from developed and/or high income countries; there is limited information on risk groups in low- and middle-income countries [8,9] and the role of influenza in SARI patients for countries in Central and Eastern Europe, where the antiviral treatment and vaccination uptake [10,11] are low. Sentinel surveillance for hospitalised patients meeting a syndromic Severe Acute Respiratory Infection (SARI) case definition has recently been established in countries in the World Health Organization (WHO) European Region. By the end of the first post-pandemic influenza season (2010–2011), a total of 11 countries had established sentinel SARI surveillance using standard methods based on guidance published by the WHO Regional Office for Europe [12]. This paper describes the characteristics of SARI patients and investigates risk factors for a severe outcome (ICU/fatal) in influenza-positive SARI patients in countries in Central and Eastern Europe.

Methods

Data collection

Countries that performed influenza surveillance in the WHO European Region and collected case-based data on SARI patients as part of their national influenza surveillance between 2009 and 2012 were invited to participate in the study. For inclusion, as a minimum, data on age, gender, clinical symptoms, presence and specification of underlying conditions, and influenza (sub)type laboratory test results were required for each case. Testing of all hospitalised patients that met the SARI case definition at the sentinel sites was recommended in the WHO Euro guidelines [12]. Sampling and testing procedures were the same during and after the pandemic. Countries that met the inclusion criteria on the minimum data requirements were asked to provide the following information on SARI patients: geographical region/district of the hospital, hospital, gender (male, female), date of birth/age, case definition, date onset influenza, sampling date, sample type (nasal swab, throat swab, combined nasal/throat swab, aspirate, bronchoalveolar lavage (BAL), tissue from biopsy or autopsy, other, unknown/not specified), clinical symptoms, existing underlying conditions (yes/no), asthma (yes/no), diabetes (yes/no), cancer (yes/no), immune-compromised (yes/no), heart (yes/no), kidney (yes/no), lung (yes/no), liver (yes/no), neurological (yes/no), obesity (no, BMI 30–40, BMI > 40, clinically obese), pregnancy (yes/no), pregnancy trimester (1st trimester, 2nd trimester, 3rd trimester), vaccination status (yes/no), antiviral prophylaxis (yes/no), antiviral treatment (yes/no), antiviral resistance (yes/no), respiratory support (no, oxygen, ventilation, ECMO), pneumonia diagnosis (no, yes (clinical/abnormal chest X-ray/raised CRP level), Tuberculosis (TB) (no history of TB, history of TB, positive test during hospital), influenza test (not performed, polymerase chain reaction (PCR), culture, immunofluorescent assay (IFA), other -not specified- test), test result (negative/positive), influenza type (A/B), influenza A subtype (A(H1N1)pdm09, A(H3N2)), ICU admission, outcome (discharged alive/death), and cause of death (not influenza, influenza as a primary cause, influenza as a secondary cause). A descriptive analysis was performed to investigate the SARI patient characteristics by influenza status and country. The season was defined from 1 August to 31 July the following year. Pregnancy and obesity were included when determining the total number of multiple underlying conditions. Except for pregnancy, the percentage of patients with a specific condition was calculated by dividing the total number of patients with the condition by the total number of patients with available data for that variable. The percentage of pregnant women was defined by dividing the number of pregnant women by the number of women of childbearing age (15–49 yrs).

Statistical analysis

We assessed the association between possible risk factors (i.e. age (categorical), gender, underlying conditions, influenza subtype) and different levels of severity for influenza-positive SARI patients. Only cases with available risk data were included in the analysis. Four patient outcomes were defined: 1) SARI patients that were not admitted to ICU and discharged alive, 2) SARI patients admitted to ICU and discharged alive, 3) SARI patients that died, and 4) SARI patients with any severe outcome (patients that were admitted to ICU or died). The three more severe levels were compared to the least severe outcome: SARI patients who were not admitted to ICU and discharged alive. The influenza subtype A(H1N1)pdm09 (vs. non-influenza subtype A(H1N1)pdm09) was also included as possible risk factor for a severe outcome. Because data on vaccination status and antiviral treatment were incomplete -or numbers were very low- we did not include these variables in the data analysis. Logistic regression analysis was performed to identify factors associated with a severe outcome. All variables associated with a severe outcome at a significance level of p <0.15 were included in a multivariate logistic regression analysis (Enter method) to identify factors independently associated with ICU admission or death. A factor was defined significant when p < 0.05 in the multivariate analysis. For categorical variables with >2 levels, the Chi-squared test was used, while for categorical variables with 2 categories (2×2 table) the Continuity Correction was used. Correlation between variables was checked and if the Pearson correlation was >0.5, we included only one of the variables in the analysis. Finally, a pooled data analysis was performed for countries that had collected data on both ICU admission and deaths. Variables that were significant in the univariate logistic regression analysis were included in the multivariate analysis. To control for differences between countries, the country (Romania = reference category, Albania = dummy1, Georgia = dummy2) was included as a factor in the model. SPSS 20 was used for the analyses.

Ethical considerations

Verbal consent was obtained from all patients before specimen collection as per country’s routine public health practice. WHO Regional Office for Europe considered that anonymised data collected through sentinel hospital surveillance for influenza to be part of routine public health surveillance; therefore, formal ethical review was not required.

Results

Eleven countries performed SARI surveillance and were contacted to participate in the study. Nine countries (Albania, Armenia, Belarus, Georgia, Kazakhstan, Kyrgyzstan, Romania, Russian Federation and Ukraine) fulfilled the inclusion criteria and were included in the study. For each country a description of the population, age distribution and other health-related topics is available in Table 1 [13]. The population of the countries participating in this project varies from 3.2 million in Armenia and Albania to 142.6 million in the Russian Federation. The age distribution is similar for the countries with the exception of Kazakhstan and Kyrgyzstan where children (0–14) represent a substantial (24-30%) proportion of the population. The number of hospitals available per 100,000 of the population range from 1.4 in Albania to 7.0 in Belarus. Outpatient contacts per person -the total number of primary health care or ambulatory care contacts divided by the population- vary by country. They are relatively low at in Albania (2.0) and Georgia (2.1), and high in Belarus (13.2) and Ukraine (10.7). The system characteristics including SARI case definitions are presented in Table 2 and additional information on the SARI surveillance descriptions can be found at the WHO Regional Office for Europe website [14].
Table 1

Country population and health care data

Albania Armenia Belarus Georgia Kazakhstan Kyrgyzstan Romania Russian Federation Ukraine
Mid-year population (in million)3.23.29.54.516.45.521.4142.645.6
% population aged 014 years-18.517.017.024.430.215.115.214.2
% population aged 65+ years-10.313.913.86.74.514.912.815.5
Live births/year (x1000) (2009) 3444.4109.263.3357.5135.5222.41761.7512.5
Crude death rate per 1000 pop (2009) -8.513.9710.578.976.6711.9814.1715.41
Hospitals per 100.000 population 1.44.07.06.26.12.72.6na6.1
Hospital beds per 100.000 population 2673811126286725476634na919
Outpatient contacts/person per year 2.03.513.22.16.93.64.79.510.7

Source: European Health for All database (HFA-DB) (http://data.euro.who.int/hfadb/). The mean for the period 2009–2012 was calculated, except for % population where data from 2009/2010 are presented.

Table 2

SARI data collection in nine countries in the WHO European Region, 2009-2012

Albania Armenia Belarus Georgia Kazakhstan Kyrgyzstan Romania Russian Federation Ukraine
Number of sentinel hospitals 156/711617412-26199-10
Period data collection Nov 2009- Mar 2011Dec 2010-Mar 2012Sep 2010-Dec 2012Jan 2009-Mar 2012Sep 2011-Dec 2012Nov 2010-Jun 2011Oct 2009-May 2012Sep 2010-Dec 2012Sep 2009-Dec 2012
Case definition -all ages Standarda Newcd Standardae Newcd
Case definition <5 WHOb Pneumb Pneumb Pneumb Pneumb Pneumb
Case definition ≥ 5 Standarda Standarda Standarda Standarda Standarda Standarda
No. SARI cases 10233510252138857369100327794667
No. children aged 0–14 (%)24 (23.5%)287 (85.7%)412 (40.1%)1137 (53.5%)538 (62.8%)267 (72.4%)491 (49.0%)1718 (61.8%)2339 (50.1%)
No. SARI tested influenza (%)102 (100%)188 (56.1%)1025 (100%)2138 (100%)834 (97.3%)43 (11.6%)914 (91.1%)2779 (100%)4650 (99.6%)
Type of hospital included ID, PED, PULM, ICUGEN, ID, PED, EM, GYNGEN, ID, PED, EMGEN, ID, PED, EM, ICUID, PED, EMGEN, ID, PEDID, PED, PULM, EMGEN, ID, PED, EMGEN, ID, PED
Number of beds per hospital 76-43650-500100063-250100-395180-40092-1556na110-645
Catchment area and/or site selection 1 hospital in each of 12 counties + 3 hospitals in Tirana.1 hospital in 2 regions and 5 hospitals in Yerevan.The 11 hospitals are located in large cities of the country’s 6 regions.SARI admission rates and collaboration NCDC used to identify sitese Most regions of the country were covered.The hospitals located in 7 regions of the country.Sites are located in 2 cities (Bishkek and Osh). The sites serve about 1.5 million of the population.Sites are regional clinical hospitals, well equipped for care to SARI cases, and cover 19-30% of population.Sites (1–2) are located in 9 cities in 6 Federal districts. The 9 cities cover a population of 10.5 million.Sites (10) are located in 4 cities in different geographical parts of the country.
Monitoring data quality Sentinel site visitSentinel site visit. Monthly during seasonWeekly basisMonthly during seasonf All year roundTwo times a year at the national levelWeekly at the national level by the SARI coordinator.Weekly basisWeekly at the national level by the SARI coordinator.
Vaccination recommendations (rec) g /risk groups and coverage Children < 5, Elderly >65, persons with underlying diseases, HCWWHO rec.WHO rec. Pregnant women obligatory since 2011WHO rec. Pregnant women, persons with underlying diseasesh, > 65 yrs, children <2. Coverage in risk groups is 90%WHO rec. Coverage in risk groups is 98-100%Vaccination coverage in risk groups is about 3% (HCW, children and pilgrims)WHO rec. Persons 6 months-64 years old with chronic underlying conditions, pregnant women, HCW, staff working with institutionalised persons, residents of the social care institutions, persons ≥65 years old. Coverage is: Tot: 5.2-14.6%; 65+: 19.1%-49.4% HCW: 51%-97.8%WHO rec. >30 mln of population each yearAge >60, underlying disease (chronic cardio-vascular, lung, kidney, liver, HIV, diabetes, primary immunodeficiency), pregnancy, HCW
Method influenza detection i PCRPCR, culturePCRPCRPCR, other, culturePCR, otherReal-time PCR for type and subtype detectionPCRPCR, other

Abbreviations: ICU Intensive care unit, Na not available, PCR polymerase chain reaction, SARI severe acute respiratory infection, GEN general/multi-profile/national referral, ID infectious disease, PED paediatrics, EM emergency, PULM Pulmonology, GYN obstetrics and gynecology/maternal department, HCW Health care workers.

aThe standard SARI case definition is defined as a patient with onset of the following symptoms ≤ 7 days prior to hospitalisation:

Fever >38°C AND cough OR sore throat AND shortness of breath or difficulty in breathing.

bThe WHO case definition is defined for pneumonia and severe pneumonia in children below the age of 5, and is as follows:

Pneumonia: cough OR difficulty breathing AND breathing faster than 40 breaths/minute (12–59 month) or breathing faster than 50 breaths/minute (2–11 month);

Severe pneumonia: cough OR difficulty breathing AND any of the following severe signs: unable to drink or breastfeed, OR vomits everything, OR convulsions, OR lethargic or unconscious, OR chest indrawing or stridor in a calm child.

cNew WHO case definition – all ages.

An acute respiratory illness with onset in the 7 days prior to hospital admission, that results in hospitalization over night and includes:

History of fever or measured fever of ≥ 38°C, AND cough, AND shortness of breath or difficulty breathing.

dThe new WHO case definition cdc was used in the 2011–2012 influenza season, for the seasons before 2011–2012 the WHO case definitionab was used.

eSites were selected according to their SARI admission rates and collaboration with NCDC, most regions of the country were covered. In the first year 2008–2009 the surveillance was nationwide, in 2009–2010 a transition to a sentinel system was made, and was capable to provide representative data (personal communication).

fThe sentinel epidemiologist monitors the data collection at a regular basis. The NCDC specialist visits the sentinel site and checks sentinel data on quarterly basis and monthly during the active influenza season (Personal communication Giorgi Chakhunashvili).

gRecommended risk groups for seasonal influenza vaccination are: pregnant women (highest priority) and in no particular order of priority: children aged 6 to 59 months, the elderly, individuals with specific chronic medical conditions, and health-care workers [8].

hCardiovascular disorder, respiratory disorder, kidney disorders, hepatitis, HIV, diabetes, immunocompromised persons, oncological patients.

iIn case culture is used, this is performed in 1% of all tests.

Note: country-specific information in this table (type of hospital included, number of beds per hospital, catchment area and/or site selection, monitoring data quality, vaccination recommendations) are kindly provided by the co-authors of this paper (personal communication).

Country population and health care data Source: European Health for All database (HFA-DB) (http://data.euro.who.int/hfadb/). The mean for the period 2009–2012 was calculated, except for % population where data from 2009/2010 are presented. SARI data collection in nine countries in the WHO European Region, 2009-2012 Abbreviations: ICU Intensive care unit, Na not available, PCR polymerase chain reaction, SARI severe acute respiratory infection, GEN general/multi-profile/national referral, ID infectious disease, PED paediatrics, EM emergency, PULM Pulmonology, GYN obstetrics and gynecology/maternal department, HCW Health care workers. aThe standard SARI case definition is defined as a patient with onset of the following symptoms ≤ 7 days prior to hospitalisation: Fever >38°C AND cough OR sore throat AND shortness of breath or difficulty in breathing. bThe WHO case definition is defined for pneumonia and severe pneumonia in children below the age of 5, and is as follows: Pneumonia: cough OR difficulty breathing AND breathing faster than 40 breaths/minute (12–59 month) or breathing faster than 50 breaths/minute (2–11 month); Severe pneumonia: cough OR difficulty breathing AND any of the following severe signs: unable to drink or breastfeed, OR vomits everything, OR convulsions, OR lethargic or unconscious, OR chest indrawing or stridor in a calm child. cNew WHO case definition – all ages. An acute respiratory illness with onset in the 7 days prior to hospital admission, that results in hospitalization over night and includes: History of fever or measured fever of ≥ 38°C, AND cough, AND shortness of breath or difficulty breathing. dThe new WHO case definition cdc was used in the 2011–2012 influenza season, for the seasons before 2011–2012 the WHO case definitionab was used. eSites were selected according to their SARI admission rates and collaboration with NCDC, most regions of the country were covered. In the first year 2008–2009 the surveillance was nationwide, in 2009–2010 a transition to a sentinel system was made, and was capable to provide representative data (personal communication). fThe sentinel epidemiologist monitors the data collection at a regular basis. The NCDC specialist visits the sentinel site and checks sentinel data on quarterly basis and monthly during the active influenza season (Personal communication Giorgi Chakhunashvili). gRecommended risk groups for seasonal influenza vaccination are: pregnant women (highest priority) and in no particular order of priority: children aged 6 to 59 months, the elderly, individuals with specific chronic medical conditions, and health-care workers [8]. hCardiovascular disorder, respiratory disorder, kidney disorders, hepatitis, HIV, diabetes, immunocompromised persons, oncological patients. iIn case culture is used, this is performed in 1% of all tests. Note: country-specific information in this table (type of hospital included, number of beds per hospital, catchment area and/or site selection, monitoring data quality, vaccination recommendations) are kindly provided by the co-authors of this paper (personal communication). From 2009 to 2012, a total of 13,275 SARI patients were reported. Overall, the majority of SARI patients reported in these countries were young children and the large majority of SARI patients (95%) were tested for influenza virus. This small group of SARI patients that were not tested were generally children with no underlying medical conditions (Additional file 1: Table A). Different types of hospitals were included in the SARI surveillance (Table 2), of which infectious disease hospitals, general/multi-profile/national referral hospitals, paediatric hospitals and emergency hospitals were more common. In Albania and Georgia ICU facilities were included in the surveillance and in Armenia an obstetrics and gynaecology/maternity department was included. The number of beds per hospital and other surveillance-related topics such as the recommended risk groups for vaccination [8] can be found in Table 2. An assessment on the proportion of SARI cases admitted and cases included in the surveillance were only available for Romania and amounted 25% of SARI patients (Personal communication: Odette Nicolae). The results of SARI surveillance varied by country and the number of SARI samples tested, samples tested positive for influenza, the virus detections and fatal cases are summarised by country, season and age group in Table 3. Georgia reported data for four influenza seasons (from start of 2009 till 2012), while Kazakhstan (2011–2012) and Kyrgyzstan (2010–2011) collected data for one influenza season. Overall, the highest proportion of influenza-positive cases were reported in Albania (100% in 2009–2010) and in Georgia (75.2% in 2010–2011). The proportion positive varied by country, season and age group, with a tendency to a higher proportion positive in the 15+ yrs age group in Albania, Armenia, Kazakhstan, Romania, the Russian Federation and Ukraine. The highest proportion of pregnant women was observed in influenza-positive SARI patients in Armenia (73%) and the Russian Federation (61%), and lowest in Kyrgyzstan (0%), Albania (12.5%) and Ukraine (15%). See Additional file 1: Table A.
Table 3

Description of SARI patients testing positive for influenza by country, season and age group (<15, 15+)

Country and season Samples tested Samples positive (%) Influenza A Influenza A(H1N1) pdm09 Influenza A(H3N2) Influenza A (not sub- typed) Influenza B Fatal cases (%)
Albania 2009-2010 58 58 (100%) 58 55 3 0 0 13/58 (22.4%)
<15 years1212 (100%)12 11 1 - -0/12 (0%)
15+ years4646 (100%)46 44 2 - -13/46 (28.3%)
2010-2011 44 10 (22.7%) 10 8 2 0 0 0/10 (0%)
<15 years122 (16.7%)2 2 0 - --
15+ years328 (25%)8 6 2 - --
Armenia 2010-2011 140 22 (15.7%) 17 a 9 0 - 5 1/22 (4.5%)
<15 years1098 (7.3%)5a 0 0 - 31/8 (12.5%)
15+ years3114 (45.2%)12a 9 0 - 20/22 (0%)
2011-2012 48 1 (2.1%) 1 0 1 - 0 0/1
<15 years390 (0%)0 - 0 - 0-
15+ years91 (11.1%)1 - 1 - 00/1
Belarus 2010-2011 380 35 (9.2%) 24 24 - - 11 Na
<15 years10510 (9.5%)7 7 - - 3
15+ years27525 (9.1%)17 17 - - 8
2011-2012 635 16 (2.5%) 16 1 15 - 0 Na
<15 years3068 (2.6%)8 1 7 - -
15+ years3298 (2.3%)8 0 8 - -
Georgia 2008-2009 196 46 (23.5%) 42 39 3 0 4 0/46 (0%)
<15 years16333 (20.2%)29 26 3 - 40/33 (0%)
15+ years3313 (39.4%)13 13 0 - 00/13 (0%)
2009-2010 1526 531 (34.8%) 499 484 11 4 32 31/531 (5.8%)
<15 years1051327 (31%)296 281 11 4 317/327 (2.1%)
15+ years475204 (2.3%)203 203 0 0 124/204 (11.8%)
2010-2011 375 282 (75.2%) 146 143 1 2 136 53/282 (18.8%)
<15 years196150 (76.5%)63 62 1 0 873/150 (2.0%)
15+ years179132 (73.7%)83 81 0 2 4950/132 (37.9%)
2011-2012 21 10 (47.6%) 10 5 5 0 0 7/10 (70%)
<15 years64 (66.7%)4 4 0 - -1/4 (25%)
15+ years156 (40%)6 1 5 - -6/6 (100%)
Kazakhstan 2011-2012 791 186 a (23.5%) 171 a 54 100 2 10 0/38*
<15 years50995a (18.7%)90a 23 59 - 20/21*
15+ years28291a (32.3%)81a 31 41 2 80/17*
Kyrgyzstan 2010-2011 43 19 (44.2%) 19 10 9 - - Na
<15 years1313 (100%)13 5 8
15+ years306 (20%)6 5 1
Romania 2009-2010 211 66 (31.3%) 66 66 0 - 0 11/66 (16.7%)
<15 years7513 (17.3%)13 13 0 - -2/13 (15.4%)
15+ years13653 (39%)53 53 0 - -9/53 (17%)
2010-2011 422 165 (39.1%) 84 83 1 - 81 21/165 (12.7%)
<15 years20369 (34%)18 18 0 - 510/69 (0%)
15+ years21996 (43.8%)66 65 1 - 3021/96 (21.9%)
2011-2012 281 69 (24.6%) 68 0 68 - 1 1/69 (1.4%)
<15 years17331 (17.9%)31 0 31 - 01/31 (3.2%)
15+ years10838 (35.2%)37 0 37 - 10/38 (0%)
Rus. Fed. 2010-2011 1293 274 (21.2%) 203 a 178 22 - 71 Na
<15 years834103 (12.4%)73a 62 10 - 30
15+ years459171 (37.3%)130a 116 12 - 41
2011-2012 1486 153 a (10.3%) 128 8 120 - 23 Na
<15 years88449 (5.5%)42 2 40 - 7
15+ years602104a (17.3%)86 6 80 - 16
Ukraine 2009-2010 2149 731 (34%) 672 666 0 6 59 10/730 (1.4%)
<15 years954248 (26.0%)231 229 0 2 170/247 (0%)
15+ years1195483 (40.4%)441 437 - 4 4210/483 (2.1%)
2010-2011 2046 490 (23.9%) 219 a 200 5 13 271 0/489 (0%)
<15 years1134208 (18.3%)105 101 1 3 1030/208
15+ years912282 (30.9%)114a 99 4 10 1680/281
2011-2012 413 188 a (45.5%) 179 a 0 171 1 6 Na
<15 years251107a (42.6%)102a 0 94 0 2
15+ years16281 (50%)77 0 77 0 4

Na: not available; *Incomplete data; aThe influenza (sub)type information were not available for all influenza-positive SARI patients.

Note: for the countries Albania, Belarus, Georgia and Ukraine the total number of samples tested and/or tested positive are slightly lower compared to the data presented in the Supplement, this is due to the selection and availability of the influenza type and subtype data, and season/age group information.

Description of SARI patients testing positive for influenza by country, season and age group (<15, 15+) Na: not available; *Incomplete data; aThe influenza (sub)type information were not available for all influenza-positive SARI patients. Note: for the countries Albania, Belarus, Georgia and Ukraine the total number of samples tested and/or tested positive are slightly lower compared to the data presented in the Supplement, this is due to the selection and availability of the influenza type and subtype data, and season/age group information. The (sub)typed influenza viruses reported differed by season, e.g. in Georgia in the 2010–2011 season influenza B (48.2%) co-circulated with influenza A(H1N1)pdm09 (50.7%), and a substantial proportion of fatal cases in the older adults were infected with influenza B (Figure 1). In Ukraine the influenza A(H1N1)pdm09 virus was dominant (91%) in the 2009–2010 influenza season. Influenza A(H1N1)pdm09 (40.8%) and B (55.3%) were co-dominant in the 2010–2011 season and influenza A(H3N2) was dominant (91%) during the 2011–2012 influenza season. A similar pattern could be observed for Romania (Table 3). In terms of fatal cases these were most often recorded in patients aged >15 yrs of age.
Figure 1

SARI patients presented by age group and influenza (sub)type in two countries, 2009–2012.

SARI patients presented by age group and influenza (sub)type in two countries, 2009–2012. Data on the ICU admission status of hospitalised SARI patients were collected by six countries (Armenia, Albania, Belarus, Georgia, Kazakhstan and Romania). ICU admission in influenza-positive SARI patients ranged from 6.3% in Kazakhstan to 56.5% in Armenia. Information on deaths was available for Albania, Armenia, Georgia, Romania and Ukraine; the % of influenza-positive SARI patients that died ranged from 0.8% in Ukraine to 18.8% in Albania. See for detailed characteristics by country the Additional file 1: Table A. In Figure 2 the influenza-positive SARI cases are presented by severity; cases not admitted to ICU, non-fatal cases admitted to ICU, and cases with a fatal outcome. Data on both ICU and fatal cases were available for Albania, Armenia, Georgia and Romania and are presented. Overall, most fatal SARI cases occurred in the age groups 25–49 yrs and 50–64 yrs with only one fatality reported in the 0–2 year old age group, but this was identified as being “not due to influenza”. In Georgia, a substantial number of fatal cases were reported in the age group >65 yrs. We also evaluated the detected influenza virus (sub)type and severity for Georgia and Romania, as they had sufficient data for this (Figure 1). Most SARI patients were influenza A(H1N1)pdm09 positive. Data from Georgia presenting influenza B positive patients indicated that practically all adults were admitted to ICU or had a fatal outcome. A relatively low number of SARI patients tested positive for influenza A(H3N2) in the period 2009–2012.
Figure 2

SARI patients positive for influenza presented by age group in four countries, 2009–2012.

SARI patients positive for influenza presented by age group in four countries, 2009–2012. Influenza vaccination rates in all countries were very low. Seven out of nine countries had data on the vaccination status of the SARI cases. For the influenza-negative SARI patients the proportion vaccinated for influenza ranged from 0–3.2%, and for influenza-positive cases 0–4.1%. The use of antiviral medication to treat influenza-positive SARI patients was low and ranged from 0.5% in Kazakhstan to about 35% in Armenia (Additional file 1: Table A). Generally, the neuraminidase inhibitor oseltamivir was used as antiviral treatment. To explore a possible association between known risk factors and a severe outcome, we presented the risk factors for influenza-positive SARI patients by outcome: patients that were not admitted to ICU, patients admitted to ICU, patients that died and patients that were admitted to ICU or who died (Additional file 1: Table B). We observed that a substantial proportion of the patients admitted to the ICU or that died had underlying medical conditions. The univariate logistic regression analysis on the country level revealed that age >15 yrs, being infected with influenza A(H1N1)pdm09, and having underlying conditions (in particular being immune-compromised, or pregnant or having lung or heart disease) were significantly associated with a fatal outcome (Additional file 1: Table C). In the multivariate analysis using logistic regression we investigated the association of previously identified risk factors in influenza-positive SARI patients with a severe outcome (i.e. being fatal, admitted to ICU or fatal/ICU) for Albania, Georgia and Romania (Figure 3). We excluded data from Armenia from the multivariate analysis because of insufficient data. The data were not representative for the general population, as evidenced by the extremely high proportion of pregnant women in the data. Below we present the results for the logistic regression analyses by country (Albania, Georgia and Romania) followed by the pooled data analysis results.
Figure 3

Effect of risk factors on a fatal outcome in influenza-positive SARI patients.

Effect of risk factors on a fatal outcome in influenza-positive SARI patients. The individual country results indicate that for Albania influenza-positive SARI patients with lung disease were at increased risk for a fatal outcome (OR = 5.33, CI95% = 1.10-25.76), and fatal outcome/ICU admission (OR = 5.42, CI 95% = 1.29-22.69) (Additional file 1: Table 1D). In Georgia the following variables were independent risk factors for a fatal outcome in influenza-positive SARI patients: age > 15 yrs (OR = 10.73, CI 95% = 3.80-30.28), lung disease (OR = 43.65, CI 95% = 16.46-115.7), heart disease (OR = 40.62; CI 95% = 8.34-198.0) and being pregnant (OR = 18.39, CI 95% = 3.92-86.38). For ICU admission lung disease (OR = 5.94, CI 95% = 3.35-10.58) and heart disease (OR = 10.47; CI 95% = 3.45-31.83), as well as being pregnant (OR = 6.02, CI 95% = 2.22-16.33) were independent risk factors for ICU admission in influenza-positive SARI patients. Age > 15 yrs (OR = 9.75; CI 95% = 4.61-20.61), having lung disease (OR = 14.90, CI 95% = 8.14-27.27), kidney disease (OR = 8.78, CI 95% = 1.50-51.29) and being pregnant (OR = 3.27, CI 95% = 1.13-9.49) were independent risk factors for influenza-positive SARI patients admitted to ICU or with a fatal outcome (Additional file 1: Table 4D). In Romania the following variables were independent risk factors for a fatal outcome in influenza-positive SARI patients: being immune-compromised (OR = 3.87, CI 95% = 1.19-12.60) and being infected with influenza A(H1N1)pdm09 virus (OR = 7.48, CI 95% = 2.39-23.36). In Romania, the influenza subtype A(H1N1)pdm09 was also an independent risk factor (OR = 2.40, CI 95% = 1.39-4.12) for patients with any severe outcome (admitted to ICU or with a fatal) (Additional file 1: Table 7D). For the pooled data analysis the following variables were independent risk factors for a fatal outcome in influenza-positive SARI patients when controlling for the effect of country: age > 15 (OR = 5.44, CI 95% = 2.77-10.71), lung disease (OR = 14.89, CI95% = 8.62-25.71), heart disease (OR = 4.01, CI95% = 2.21-7.29), liver disease (OR = 3.59, CI95% = 1.11-11.42), kidney disease (OR = 3.88, CI95% = 1.06-14.28) and pregnancy (OR = 7.08, CI95% = 3.01-16.68), see Figure 3. Although obesity was a significant risk factor for severe outcome in some countries in the univariate logistic regression analysis, we were not able to include this in the pooled analysis due to incomplete data. No results are presented for ICU patients and fatal/ICU patients, as the Hosmer and Lemeshow test for these outcomes were significant (p = 0.000) and indicated a bad fit with the model.

Discussion

Severe influenza surveillance has been established in nine countries in Eastern Europe and an exploratory analysis on risk factors for a severe outcome has been performed for data from Armenia, Georgia and Romania. We observed that most SARI patients admitted to the hospitals were young children and that influenza-positive SARI patients were generally more often admitted to ICU and resulted more often in death than the influenza-negative SARI patients. Influenza A(H1N1)pdm09 was generally detected in the 2009–2010 season, whereas influenza B and influenza A(H1N1)pdm09 were most frequently observed in the 2010–2011 season with influenza B being most prominent in children. Influenza A(H3N2) was commonly detected in the 2011–2012 season. Overall, our results indicated that ICU admission rates for influenza-positive SARI cases ranged from 6-56%, and fatal cases from 0.8-18.8%. These findings differed by country, season and age group. The proportion of ICU admissions and fatal cases is similar to what has been reported in SARI cases in nine EU countries by Snacken et al. [15] where 37% of hospitalised cases were admitted to ICU, and 15.6% died, and a study from Bagdure et al. [16] where 26% of hospitalised children infected with influenza A(H1N1)pdm09 were admitted to the ICU and 3% died. Pooled data analysis identified risk factors (>15 yrs of age, having lung, heart, kidney or liver disease or being pregnant) for a fatal outcome in influenza-positive SARI patients. Risk factors for severe outcome for influenza-positive SARI patients did differ slightly between countries, but overall corresponded to risk factors for a severe outcome that have been reported in the literature worldwide [7,17] and were similar to findings in Spain [18]. For Western Europe limited data are available on hospitalised severe cases [6,15]. With most of the studies in the literature focusing on risk factors for a severe outcome in cases with influenza A(H1N1)pdm09 during the pandemic, our study evaluated both pandemic and seasonal viruses from 2009–2012. Therefore we need to be careful in interpreting the results. While literature has shown that the main risk groups such as having underlying disease are similar for influenza A(H1N1)pdm09 and seasonal influenza, obesity was identified as new risk factor for a severe outcome [7]. Many studies, however, have a lack of power and more evidence is needed to improve the level of evidence to identify risk factors for a severe outcome for pandemic and seasonal influenza [19]. The risk factors for a severe outcome (being > 15 yrs of age and having underlying disease) were similar for the three countries but there were also some country differences. Data from Romania indicated that being immune-compromised and being infected with the influenza A(H1N1)pdm09 virus were risk factors for a fatal outcome, but this effect was not observed in the pooled data analysis. Data for Georgia showed that many patients in ICU and/or fatal cases were influenza B positive and this is different from Romania. These findings may represent country differences, but could also be due to differences in surveillance systems, local practices or differences in circulating viruses. Unfortunately, we were not able to further investigate the role of the different virus (sub)types on the outcome due to limited data, including differences in the seasonal and pandemic influenza epidemiology. One of the strengths in this study is the use of a standard case definition and collecting information on both influenza-negative and positive SARI cases. Admission criteria for the hospital and treatment are generally based on the judgement of the clinician and hospital admissions may not always be related to severity. Therefore using a case definition is important. Although a common approach was used, we observed country differences in the proportion of children, pregnant women and elderly being admitted to the hospital. These differences may be partly explained by a different population structure, probability of seeking care [20], but also by the inclusion of different hospital types and wards in the surveillance system - e.g. the high proportion of pregnant women in Armenia may be due to the inclusion of the obstetrics/maternity department. Furthermore, young children with a respiratory infection may be more likely to be admitted to the hospital than adults and this may indicate that different case management policies and criteria are used for hospital admission. The proportion of SARI patients testing positive varied between countries and should be interpreted with caution. For Albania (2009–2010), Georgia (2010–2011) and Kyrgyzstan (2010–2011, age group <15 yrs) the positivity rates were unexpectedly high (75-100%) while the SARI positivity rates in Belarus were low. These findings may suggest a selection or testing bias. Furthermore, the observed differences in influenza positivity rates may be explained by some countries reporting SARI all year round and others reporting a selected period in time, and by the age distribution of SARI patients. In general most SARI patients were reported in the young age group (0–15 yrs of age) while the positivity rates were generally higher in the 15+ age group. Differences in health-seeking behaviour may also have affected the rate of SARI between countries. In a country with many outpatient visit patients, there may be an over-capacity of the secondary and tertiary systems which encourages over-utilisation [21]. Furthermore, the proportion of positive samples may be affected by the sensitivity of the test used, the sample type used and quality of obtaining the specimen, time of sampling after onset of symptoms and the patient groups sampled. Furthermore, the high proportion of negative samples might indicate the presence of other respiratory viruses or bacteria. It would be useful to test negative samples for other pathogens as well if the resources for this are available. It should be borne mind that data in this study have been collected as part of national surveillance systems. The surveillance is usually performed on a voluntary basis. Therefore limited time may be available and this could affect the quality and completeness of the data collection. Also the healthcare systems of the countries included in this study have different structures and the lack of electronic recording systems in some countries may have limited collection of data. Despite the limitations of this study a total of nine countries had established SARI surveillance and collected patient data and influenza status, which provides more insight into the role of influenza in hospitalised SARI cases. The findings can be used to compare the severity of influenza by season and country, and address strengths and weaknesses of the current surveillance. Furthermore, the assessment of possible risk factors for a severe outcome could be improved by performing the analysis by influenza type and subtype. Continued evaluation and review of these recently established SARI surveillance systems will improve our ability to understand these systems and may allow for better comparability of the surveillance data for SARI cases in the WHO European Region.

Conclusions

SARI surveillance has been successfully implemented in countries in the WHO European Region since 2009. This relatively new system provides a valuable tool for gaining a better understanding of the contribution of influenza infection to the burden of disease. In this study, a total of nine countries located in Central and Eastern Europe provided case-based data on SARI patients. An exploratory analysis was performed on data from Albania, Georgia and Romania resulting in identification of risk factors for ICU admission and death in influenza-positive SARI patients. The heterogeneous results may implicate differences in surveillance and healthcare systems. Public-health surveillance systems need to be evaluated to ensure they are efficient and effective. SARI surveillance in the European Region is relatively new, implemented during the pandemic season, so the assessment of these systems will help to identify strengths and weaknesses in the current data collection and surveillance activities. Previously, only very limited information was available on severe influenza in Eastern and Central Europe and this study fills in a gap. The majority of the countries included in this study are low-middle income countries with a low vaccination uptake and antiviral use. Information on risk factors in influenza-positive SARI patients will help in targeting and prioritising vulnerable populations for vaccination and antiviral treatment in these countries. Furthermore, this is a first step towards routine monitoring of SARI in hospitals in Europe and leads to a better understanding of the impact of influenza at the severe spectrum of the disease.
  16 in total

1.  Risk factors for disease severity among hospitalised patients with 2009 pandemic influenza A (H1N1) in Spain, April - December 2009.

Authors:  P Santa-Olalla Peralta; M Cortes-García; M Vicente-Herrero; C Castrillo-Villamandos; P Arias-Bohigas; I Pachon-del Amo; M J Sierra-Moros
Journal:  Euro Surveill       Date:  2010-09-23

2.  Mortality due to pandemic (H1N1) 2009 influenza in England: a comparison of the first and second waves.

Authors:  O T Mytton; P D Rutter; M Mak; E A I Stanton; N Sachedina; L J Donaldson
Journal:  Epidemiol Infect       Date:  2011-11-01       Impact factor: 2.451

3.  Seasonal influenza vaccine provision in 157 countries (2004-2009) and the potential influence of national public health policies.

Authors:  Abraham Palache
Journal:  Vaccine       Date:  2011-10-21       Impact factor: 3.641

4.  Unequal access to vaccines in the WHO European Region during the A(H1N1) influenza pandemic in 2009.

Authors:  Pernille Jorgensen; Annemarie Wasley; Jolita Mereckiene; Suzanne Cotter; J Todd Weber; Caroline Sarah Brown
Journal:  Vaccine       Date:  2013-07-08       Impact factor: 3.641

5.  Vaccines against influenza WHO position paper – November 2012.

Authors: 
Journal:  Wkly Epidemiol Rec       Date:  2012-11-23

6.  Surveillance of hospitalised severe cases of influenza A(H1N1)pdm09 and related fatalities in nine EU countries in 2010-2011.

Authors:  René Snacken; Chantal Quinten; Isabelle Devaux; Flaviu Plata; Eeva Broberg; Phillip Zucs; Andrew Amato-Gauci
Journal:  Influenza Other Respir Viruses       Date:  2012-07-13       Impact factor: 4.380

7.  Epidemiological analysis of severe hospitalized 2009 pandemic influenza A (H1N1) cases in Catalonia, Spain.

Authors:  Neus Cardeñosa; Anna Rodés; Núria Follia; Elsa Plasencia; Sarah Lafuente; César Arias; Roser Torra; Sofia Minguell; Glòria Ferrús; Irene Barrabeig; Pere Godoy
Journal:  Hum Vaccin       Date:  2011-01-01

8.  Comparative age distribution of influenza morbidity and mortality during seasonal influenza epidemics and the 2009 H1N1 pandemic.

Authors:  Magali Lemaitre; Fabrice Carrat
Journal:  BMC Infect Dis       Date:  2010-06-09       Impact factor: 3.090

9.  Risk factors for severe outcomes following 2009 influenza A (H1N1) infection: a global pooled analysis.

Authors:  Maria D Van Kerkhove; Katelijn A H Vandemaele; Vivek Shinde; Giovanna Jaramillo-Gutierrez; Artemis Koukounari; Christl A Donnelly; Luis O Carlino; Rhonda Owen; Beverly Paterson; Louise Pelletier; Julie Vachon; Claudia Gonzalez; Yu Hongjie; Feng Zijian; Shuk Kwan Chuang; Albert Au; Silke Buda; Gerard Krause; Walter Haas; Isabelle Bonmarin; Kiyosu Taniguichi; Kensuke Nakajima; Tokuaki Shobayashi; Yoshihiro Takayama; Tomi Sunagawa; Jean Michel Heraud; Arnaud Orelle; Ethel Palacios; Marianne A B van der Sande; C C H Lieke Wielders; Darren Hunt; Jeffrey Cutter; Vernon J Lee; Juno Thomas; Patricia Santa-Olalla; Maria J Sierra-Moros; Wanna Hanshaoworakul; Kumnuan Ungchusak; Richard Pebody; Seema Jain; Anthony W Mounts
Journal:  PLoS Med       Date:  2011-07-05       Impact factor: 11.069

10.  Risk factors for hospitalization and severe outcomes of 2009 pandemic H1N1 influenza in Quebec, Canada.

Authors:  Rodica Gilca; Gaston De Serres; Nicole Boulianne; Najwa Ouhoummane; Jesse Papenburg; Monique Douville-Fradet; Élise Fortin; Marc Dionne; Guy Boivin; Danuta M Skowronski
Journal:  Influenza Other Respir Viruses       Date:  2011-02-09       Impact factor: 4.380

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  32 in total

1.  Surveillance Data for Eight Consecutive Influenza Seasons in Sicily, Italy.

Authors:  Fabio Tramuto; Vincenzo Restivo; Claudio Costantino; Giuseppina Maria Elena Colomba; Carmelo Massimo Maida; Alessandra Casuccio; Francesco Vitale
Journal:  Am J Trop Med Hyg       Date:  2019-12       Impact factor: 2.345

2.  Association between vaginal washing and detection of Lactobacillus by culture and quantitative PCR in HIV-seronegative Kenyan women: a cross-sectional analysis.

Authors:  Erica M Lokken; Griffins Odhiambo Manguro; Amina Abdallah; Caroline Ngacha; Juma Shafi; James Kiarie; Walter Jaoko; Sujatha Srinivasan; Tina L Fiedler; Matthew M Munch; David N Fredricks; R Scott McClelland; Jennifer E Balkus
Journal:  Sex Transm Infect       Date:  2019-01-29       Impact factor: 3.519

3.  Burden of influenza in Romania. A retrospective analysis of 2014/15 - 2018/19 seasons in Romania.

Authors:  Adrian Pană; Adriana Pistol; Adrian Streinu-Cercel; Bogdan-Vasile Ileanu
Journal:  Germs       Date:  2020-09-01

4.  Respiratory viruses dynamics and interactions: ten years of surveillance in central Europe.

Authors:  Gibran Horemheb-Rubio; Ralf Eggeling; Rolf Kaiser; Norbert Schmeiβer; Nico Pfeifer; Thomas Lengauer; Barbara C Gärtner; Christiane Prifert; Matthias Kochanek; Christoph Scheid; Ortwin Adams
Journal:  BMC Public Health       Date:  2022-06-11       Impact factor: 4.135

5.  Establishing an ICD-10 code based SARI-surveillance in Germany - description of the system and first results from five recent influenza seasons.

Authors:  S Buda; K Tolksdorf; E Schuler; R Kuhlen; W Haas
Journal:  BMC Public Health       Date:  2017-06-30       Impact factor: 3.295

Review 6.  A Narrative Review of Influenza: A Seasonal and Pandemic Disease.

Authors:  Mohsen Moghadami
Journal:  Iran J Med Sci       Date:  2017-01

7.  Estimating burden of influenza-associated influenza-like illness and severe acute respiratory infection at public healthcare facilities in Romania during the 2011/12-2015/16 influenza seasons.

Authors:  Giedre Gefenaite; Adriana Pistol; Rodica Popescu; Odette Popovici; Daniel Ciurea; Christiaan Dolk; Mark Jit; Diane Gross
Journal:  Influenza Other Respir Viruses       Date:  2017-12-15       Impact factor: 4.380

8.  The Burden of Influenza-Associated Hospitalizations in Oman, January 2008-June 2013.

Authors:  Salah Al-Awaidy; Sarah Hamid; Idris Al Obaidani; Said Al Baqlani; Suleiman Al Busaidi; Shyam Bawikar; Waleed El-Shoubary; Erica L Dueger; Mayar M Said; Emdeldin Elamin; Parag Shah; Maha Talaat
Journal:  PLoS One       Date:  2015-12-07       Impact factor: 3.240

9.  Surveillance for severe acute respiratory infections in Southern Arizona, 2010-2014.

Authors:  Zimy Wansaula; Sonja J Olsen; Mariana G Casal; Catherine Golenko; Laura M Erhart; Peter Kammerer; Natalie Whitfield; Orion Z McCotter
Journal:  Influenza Other Respir Viruses       Date:  2016-01-29       Impact factor: 4.380

10.  Rapid risk assessment during the early weeks of the 2015-2016 influenza season in Ukraine.

Authors:  Sophie Newitt; Alla Mironenko; Olha Holubka; Oleksandr Zaika; Olga Gubar; Katri Jalava; Caroline Brown; Iryna Demchyshyna; Tetiana Dykhanovska
Journal:  Influenza Other Respir Viruses       Date:  2018-01-15       Impact factor: 4.380

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