Literature DB >> 31670892

Clinical characteristics, predictors, and performance of case definition-Interim results from the WHO global respiratory syncytial virus surveillance pilot.

Siddhivinayak Hirve1, Nigel Crawford2, Rakhee Palekar3, Wenqing Zhang1.   

Abstract

BACKGROUND: The lack of a uniform surveillance case definition poses a challenge to characterize the epidemiology, clinical features, and disease burden of the respiratory syncytial virus (RSV). Global standards for RSV surveillance will inform immunization policy when RSV vaccines become available.
METHODS: The WHO RSV surveillance pilot leverages the capacities of the Global Influenza Surveillance and Response System (GISRS). Hospitalized and non-hospitalized medically attended patients of any age were tested for RSV using standardized molecular diagnostics throughout the year in fourteen countries. An extended severe acute respiratory infection (extended SARI) or an acute respiratory infection (ARI) case definition was used that did not require fever as a criterion.
RESULTS: Amongst 21 221 patients tested for RSV between January 2017 and September 2018, 15 428 (73%) were hospital admissions. Amongst hospitalized RSV-positive patients, 50% were aged <6 months and 88% <2 years. The percentage of patients testing positive for RSV was 37% in children <6 months and 25% in those aged 6 months to 2 years. Patients with fever were less likely to be RSV positive compared to those without fever (OR 0.74; 95% CI: 0.63-0.86). For infants <6 months, 29% of RSV ARI cases did not have fever.
CONCLUSION: Requiring fever in a case definition for RSV lowers the sensitivity to detect cases in young children. Countries should consider ways to leverage the GISRS platform to implement RSV surveillance with an augmented case definition amongst the young pediatric population.
© 2020 The Authors. Influenza and Other Respiratory Viruses Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  case definition; respiratory syncytial virus; surveillance

Mesh:

Year:  2019        PMID: 31670892      PMCID: PMC7578293          DOI: 10.1111/irv.12688

Source DB:  PubMed          Journal:  Influenza Other Respir Viruses        ISSN: 1750-2640            Impact factor:   4.380


INTRODUCTION

Globally, RSV is the leading infectious cause of respiratory morbidity and mortality in children aged <5 years. Annually, there are an estimated 33 (uncertainty range 21‐50) million episodes of RSV‐associated acute lower respiratory infection (ALRI), 3.2 (uncertainty range 2.7‐3.8) million RSV hospitalizations, and 59 600 (uncertainty range 48 000‐74 500) in‐hospital RSV deaths.1, 2 RSV vaccine research and development efforts have progressed significantly in recent years, with some nineteen vaccines and two new generation monoclonal antibody candidates in various stages of clinical trials. It is possible that a maternal RSV vaccine to prevent RSV infection in young infants may be licensed in the next few years.3 Though RSV disease occurs across all ages,4, 5, 6 it disproportionately affects children <2 years.7 The WHO Strategic Advisory Group of Experts on Immunization (SAGE) has recommended improved case definitions, surveillance, and disease estimates for RSV especially in low‐ and middle‐income countries where the burden is likely to be high.8 There is a need for improved RSV surveillance to better understand seasonality and disease burden in different countries.9 RSV surveillance is often a by‐product of influenza‐like illness (ILI) or severe acute respiratory infection (SARI) surveillance.10, 11 However, these case definitions require a history of fever or measured fever and consequently may miss up to a significant proportion of RSV infections especially in younger children.12, 13, 14 In 2016, WHO piloted a RSV surveillance strategy that leverages the capacities of the Global Influenza Surveillance and Response System (GISRS) using a broadened case definition.15 It aimed to establish laboratory and epidemiological standards for RSV detection to improve the understanding of seasonality, disease burden, and age‐groups at highest risk. Using the data collected in this pilot study, this paper aims to describe the clinical predictors for RSV presentation and evaluate the performance of the extended SARI and ARI case definitions for RSV surveillance.

METHODS

Surveillance sites from fourteen countries, from all six WHO regions, participated in the pilot study. Countries were selected based on having a WHO‐designated National Influenza Centre and/or a national public health laboratory, a strong national influenza surveillance system and an interest in participation in the pilot. Countries were required to test 1000 patients annually for RSV (250 patients in each of the four age groups—<6 months, 6 months to <5 years, 5 to <65 years, and 65 years and more).

Site profile and surveillance practices

In Argentina, Brazil, Chile, Egypt, Russian Federation, and South Africa, patients admitted to sentinel hospitals were screened across all ages, whereas in Australia and Canada pediatric hospital admissions only were screened. In Côte d'Ivoire, India, Mongolia, Mozambique, and Thailand, patients were screened across all ages in both sentinel hospitals and outpatient clinics. In the United Kingdom, patients were screened across all ages attending sentinel General Practitioner clinics, as well as children under 5 years in sentinel hospitals in England (Table 1). Canada reported data only for those patients who tested RSV positive and was excluded from the analysis. The number and type of sentinel hospitals (secondary and tertiary‐level care) varied across countries. The selection of sentinel hospitals and clinics was largely based on patient load and convenience, and there was no requirement for them to be nationally representative.
Table 1

Sentinel site profile, WHO RSV surveillance, 2017‐18

 Age‐group under surveillancePatients under surveillance# sentinel sitesStart of surveillance

No. tested

(% hospitalized)

ArgentinaAll agesInpatient62016 wk521214 (99%)
Australia0‐18 yInpatient12017 wk311560 (100%)
BrazilAll agesInpatient22017 wk03727 (91%)
Canada0‐16 yInpatient122017 wk342178a (100%)
ChileAll agesInpatient22017 wk01883 (100%)
Côte d'IvoireAll agesInpatient + Outpatient92017 wk011772 (36%)
EgyptAll agesInpatient42017 wk011194 (100%)
IndiaAll agesInpatient + Outpatient112017 wk011537 (82%)
MongoliaAll agesInpatient + Outpatient72017 wk021175 (89%)
MozambiqueAll agesInpatient + Outpatient42017 wk01969 (76%)
Russian FederationAll agesInpatient182016 wk521648 (100%)
South AfricaAll agesInpatient52017 wk013409 (100%)
ThailandAll agesInpatient + Outpatient112017 wk012752 (53%)
United Kingdomb PediatricInpatient62017 wk392381c (0%)
All agesOutpatient70 GPs

Abbreviations: GP, general practitioners; wk, weeks; y, years.

Canada has reported data for laboratory‐confirmed RSV‐positive cases only from 11 of its 12 sentinel sites.

Surveillance is restricted to England only.

The United Kingdom has reported case‐based data for outpatient surveillance only.

Sentinel site profile, WHO RSV surveillance, 2017‐18 No. tested (% hospitalized) Abbreviations: GP, general practitioners; wk, weeks; y, years. Canada has reported data for laboratory‐confirmed RSV‐positive cases only from 11 of its 12 sentinel sites. Surveillance is restricted to England only. The United Kingdom has reported case‐based data for outpatient surveillance only. Physicians and nurses screened patients admitted the previous day with acute onset cough or shortness of breath or, for patients attending outpatient clinics, with at least one of cough, sore throat, shortness of breath, or runny nose. Sepsis and apnea were also criteria for enrollment in infants <6 months (Table 2). Additionally, information on fever, wheeze, and associated risk factors, such as prematurity, malnutrition, cardiac and respiratory illness, and immunodeficiency, were recorded on a standardized case record form. The sampling strategy varied and ranged from screening of all eligible patients to screening a sample of eligible patients (eg, on certain days of the week). Patients were screened all year‐round except in Canada and England where patients were screened between November and June. Age‐appropriate nasal, nasopharyngeal, or lower respiratory tract specimens were collected and transported in virus transport media for laboratory RSV testing.16 Specimens from patients with reported or measured fever were additionally tested for influenza and subtyped using standardized rRT‐PCR assays.17
Table 2

Surveillance case definitions for RSV, 2017‐18

 RSVInfluenza
In patient

Extended SARI

Severe (overnight hospitalization)

Acute (onset within past 10 d)

Respiratory infection (cough or shortness of breath)

In infants <6 mo age

Apneaa

Sepsis

Fever more than 37.5°C or hypothermia

Shockb

Seriously ill without apparent cause

SARI

Severe (overnight hospitalization)

Acute (onset within past 10 d)

History of fever or measured fever of 38°C or more

Respiratory infection (cough or shortness of breath)

Out patient

ARI

Acute (onset within past 10 d)

Respiratory infection (at least one of cough, sore throat, shortness of breath or runny nose)

Extended ILI

Acute (onset within past 10 d)

Respiratory infection (cough)

ILI

Onset within past 10 d

Measured fever of 38°C or more, and

Cough

Abbreviations: ARI, acute respiratory infection; ILI, influenza‐like illness; RSV, respiratory syncytial virus; SARI, severe acute respiratory infection.

Apnea defined as temporary cessation of breathing from any cause.

Shock defined as lethargy, fast breathing, cold skin, prolonged capillary refill or weak pulse.

Surveillance case definitions for RSV, 2017‐18 Extended SARI Severe (overnight hospitalization) Acute (onset within past 10 d) Respiratory infection (cough or shortness of breath) In infants <6 mo age Apneaa Sepsis Fever more than 37.5°C or hypothermia Shockb Seriously ill without apparent cause SARI Severe (overnight hospitalization) Acute (onset within past 10 d) History of fever or measured fever of 38°C or more Respiratory infection (cough or shortness of breath) ARI Acute (onset within past 10 d) Respiratory infection (at least one of cough, sore throat, shortness of breath or runny nose) Extended ILI Acute (onset within past 10 d) Respiratory infection (cough) ILI Onset within past 10 d Measured fever of 38°C or more, and Cough Abbreviations: ARI, acute respiratory infection; ILI, influenza‐like illness; RSV, respiratory syncytial virus; SARI, severe acute respiratory infection. Apnea defined as temporary cessation of breathing from any cause. Shock defined as lethargy, fast breathing, cold skin, prolonged capillary refill or weak pulse.

Laboratory testing

All laboratories participated in an external quality assurance program using proficiency panels developed by the Division of Viral Diseases at the US Centers for Disease Control and Prevention (CDC), consisting of contemporary and historical strains of RSV‐A and RSV‐B or panels supplied by Quality Control for Molecular Diagnostics (QCMD), United Kingdom. Specimens received by laboratories were stored at −70°C and batch tested using a standardized rRT‐PCR assay developed by CDC for generic RSV detection. The CDC molecular assay was compatible with a wide range of virus transport media and different extraction systems and PCR amplification platforms. Primers and probes were supplied by CDC, and extraction reagent kits and amplification enzymes were supplied by International Reagent Resource (IRR) of CDC. National laboratories had the option to use commercial or in‐house laboratory developed tests (LDTs) provided these were validated against the CDC RSV assay. The US CDC, Public Health England, Colindale, and National Institute of Communicable Diseases, Johannesburg provided training and quality assurance support, as required, to all participating national laboratories. The WHO FluMart data platform was adapted to receive case‐based clinical and laboratory RSV data, and countries were required to upload anonymized RSV surveillance data every week or every fortnight. Public access to an interactive aggregated RSV surveillance output was provided at http://ais.paho.org/phip/viz/ed_who_rsv.asp.

Data analysis

Data from Canada were excluded for analysis as they had reported only on RSV‐positive cases. The start of surveillance varied (range epidemiological week (EW) 52 of 2016 to EW 39 of 2017) with 11 of 14 countries initiating surveillance in the first quarter of 2017. The end date for this analysis was set at EW 39 of 2018. England reported data only from their General Practitioner sentinel surveillance (Table 1). All analyses were done separately for inpatient and outpatient surveillance and disaggregated into six age‐groups—<6 months, 6 months to <2 years, 2 to <5 years, 5 to <18 years, 18 to <65 years, and 65 years and more. Univariate logistic regression was used to determine clinical predictors for RSV cases. The SARI and ILI case definitions were evaluated against the extended SARI and ARI definitions that did not require fever. The relative sensitivity was estimated as it was not known how many RSV cases were missed who did not fit the extended SARI or ARI case definitions. The positive predictive value (PPV) was calculated for the age‐specific percent positivity cumulated over the study period. We also evaluated the individual performance of apnea and sepsis (for infants <6 months), and when wheezing (clinical presentation of RSV‐associated bronchiolitis) was added to the extended SARI case definition. The area under the curve (AUC) was estimated as a measure of accuracy of how well an alternate case definition separates the group being tested into those with and without the disease as determined by the existing reference case definition. An AUC (range 0‐1) <0.7 indicates a poor discriminatory ability of the alternate case definition in relation to the reference case definition. All analysis was done with Stata v15 software.

RESULTS

A total of 21 221 patients (excluding Canada) were tested for RSV of whom 15 428 (73%) were inpatients (Table 1). Overall, 60% of patients tested were aged <5 years (20% <6 months, 30% between 6 months to 2 years and 10% between 2 and 5 years). The age distribution of patients tested varied by country (Figure 1). Overall, <10% of patients tested were aged 65 years or older (Table 3). Amongst inpatients, a total of 2963 (19.2%) tested positive for RSV. Amongst RSV‐positive hospitalized patients, 2598 (87.6%) were <2 years age, and 1461 (49.3%) were <6 months. The percentage testing positive for RSV was similar in males and females.
Figure 1

Age distribution of specimens tested, WHO RSV surveillance, 2017‐18

Table 3

Age, sex distribution of patients, and RSV detection, 2017‐18

 Inpatient surveillance

Tested

n (%)

Outpatient surveillance

Tested

n (%)

RSV negative

n (%)

RSV positive

n (%)

RSV negative

n (%)

RSV positive

n (%)

Age
0 to <6 m2493 (20.5)1461 (49.3)3954 (26.2)157 (3.3)40 (9.9)197 (3.9)
6 m to <2 y3456 (28.5)1137 (38.3)4593 (30.4)726 (15.6)157 (38.9)883 (17.5)
2 to <5 y1365 (11.2)187 (6.3)1552 (10.3)579 (12.5)93 (23.0)672 (13.3)
5 to <18 y1077 (8.8)49 (1.6)1126 (7.4)768 (16.6)19 (4.7)787 (15.6)
18 to <65 y2546 (21.0)74 (2.5)2620 (17.3)1991 (43.0)74 (18.8)2065 (41.0)
65+ y1175 (9.7)55 (1.8)1230 (8.1)405 (8.7)20 (4.9)425 (8.4)
Male6255 (53.3)1565 (53.9)7820 (53.4)1241 (52.7)160 (57.5)1401 (53.2)
Age distribution of specimens tested, WHO RSV surveillance, 2017‐18 Age, sex distribution of patients, and RSV detection, 2017‐18 Tested n (%) Tested n (%) RSV negative n (%) RSV positive n (%) RSV negative n (%) RSV positive n (%)

Clinical characteristics

Amongst hospitalized patients, RSV percent positivity was highest (37%) in infants <6 months, 25% in children 6 months to 2 years, and 12% in children 2‐5 years age. RSV percent positivity was about 4% in adults and older adults aged 65 years and more. RSV percent positivity was lower but showed similar age trends amongst non‐hospitalized patients. In contrast, percent positivity for influenza amongst hospitalized patients was 3%‐7% in children <2 years, 11% in adults aged 18 to <65 years, and 14% in older adults aged over 65 years (Figure 2). The age‐group stratified RSV percent positivity varied across countries. RSV predominated over influenza in children <2 years age (especially infants <6 months) whereas the reverse was seen in older adults aged 65 years and more. This trend was seen for both hospitalized and non‐hospitalized patients across all the participating countries (Figure 3).
Figure 2

Age distribution and percent positivity of RSV and influenza, 2017‐18

Figure 3

A, RSV and influenza proportion positive (inpatient surveillance), 2017‐18. B, RSV and influenza proportion positive (outpatient surveillance), 2017‐18

Age distribution and percent positivity of RSV and influenza, 2017‐18 A, RSV and influenza proportion positive (inpatient surveillance), 2017‐18. B, RSV and influenza proportion positive (outpatient surveillance), 2017‐18 Amongst hospitalized patients <6 months, apnea was significantly more prevalent amongst RSV‐positive infants (8.3%) than those who tested negative (6.0%) (odds ratio (OR) 1.42; 95% CI: 1.05‐1.94) (Table 4). Sepsis was less common amongst RSV‐positive infants (4.7%) than those who tested negative (10%) (OR ‐ 0.44; 95% CI: 0.31‐0.64). Cough (OR: 6.21, 95% CI: 4.77‐8.08), shortness of breath (OR: 1.64, 95% CI: 1.38‐1.96), wheezing (OR: 1.73, 95% CI: 1.49‐2.01), runny nose (OR: 1.75, 95% CI: 1.50‐2.04), and lower chest in‐drawing (OR: 2.46, 95% CI: 2.07‐2.91) were all significantly more common in RSV‐infected infants. The findings were similar for hospitalized children aged 6 months to 2 years, though the association with wheeze was not significant.
Table 4

Clinical predictors for laboratory‐confirmed RSV for patients with extended SARI and ARI case definition, 2017‐18

 Inpatient surveillance

Univariate

Odds ratio (95% CI)

Outpatient surveillance

Univariate

Odds ratio (95% CI)

RSV negative

n (%)

RSV positive

n (%)

RSV negative

n (%)

RSV positive

n (%)

Young infants (0 to <6 m)
Apnea103 (6.0)75 (8.3)1.42 (1.05‐1.94)0 (0)0 (0)
Sepsis166 (10.0)37 (4.7)0.44 (0.31‐0.64)0 (0)0 (0)
Cough1813 (76.3)1343 (95.2)6.21 (4.77‐8.08)147 (93.6)37 (92.5)0.83 (0.21‐3.20)
Shortness of breath643 (49.3)531 (61.6)1.64 (1.38‐1.96)17 (11.2)9 (28.1)3.08 (1.22‐7.74)
Fever (history)1044 (53.4)503 (45.9)0.74 (0.63‐0.86)127 (81.9)26 (76.4)0.71 (0.29‐1.74)
Fever (≥38°C)1718 (76.8)847 (68.8)0.66 (0.57‐0.77)19 (38.7)4 (80.0)6.31 (0.65‐60.8)
Wheeze669 (32.0)527 (45.0)1.73 (1.49‐2.01)2 (1.5)3 (10)6.94 (1.10‐43.5)
Runny nose856 (44.1)590 (58.0)1.75 (1.50‐2.04)2 (5.8)2 (66.6)32.0 (1.95‐522.7)
Lower chest in‐drawing717 (41.5)525 (63.6)2.46 (2.07‐2.91)0 (0)1 (50)
Pre‐existing conditiona 453 (18.1)190 (7.9)0.67 (0.56‐0.80)6 (4.0)0 (0)
Children (6 m to <2 y)
Cough3170 (93.5)1066 (96.5)1.92 (1.35‐2.74)656 (91.2)140 (90.3)0.89 (0.49‐1.62)
Shortness of breath1483 (57.9)565 (65.7)1.39 (1.18‐1.63)92 (13.8)27 (20.3)1.58 (0.98‐2.55)
Fever (history)1858 (65.6)597 (61.7)0.84 (0.72‐0.98)583 (82.3)126 (82.3)1.00 (0.63‐1.58)
Fever (≥38°C)2188 (71.6)691 (69.3)0.89 (0.76‐1.04)162 (54.9)37 (77.0)2.76 (1.35‐5.62)
Wheeze1102 (38.7)384 (41.1)1.10 (0.94‐1.28)38 (6.6)14 (10.6)1.67 (0.87‐3.18)
Sore throat629 (27.6)218 (32.2)1.24 (1.03‐1.49)101 (15.7)21 (16.9)1.09 (0.65‐1.82)
Runny nose1167 (49.4)472 (61.3)1.61 (1.36‐1.90)22 (13.9)3 (21.4)1.68 (0.43‐6.52)
Lower chest in‐drawing904 (42.4)343 (56.4)1.75 (1.46‐2.10)6 (9.0)3 (30.0)4.28 (0.87‐21.0)
Pre‐existing conditiona 590 (17.0)183 (9.5)0.93 (0.77‐1.11)17 (2.6)6 (4.8)1.86 (0.72‐4.83)
Children (2 to <5 y)
Cough1250 (92.8)172 (93.4)1.10 (0.59‐2.04)542 (95.0)86 (96.6)1.48 (0.44‐4.97)
Shortness of breath586 (54.3)90 (54.2)0.99 (0.71‐1.38)57 (12.0)14 (19.4)1.75 (0.92‐3.35)
Fever (history)736 (64.7)98 (60.4)0.83 (0.59‐1.16)459 (81.2)77 (83.7)1.18 (0.65‐2.14)
Fever (≥38°C)940 (75.5)121 (71.6)0.81 (0.57‐1.17)182 (70.5)36 (85.7)2.50 (1.01‐6.19)
Wheeze386 (34.0)60 (36.5)1.11 (0.79‐1.56)33 (7.8)10 (14.0)1.92 (0.90‐4.09)
Sore throat303 (31.8)43 (34.9)1.15 (0.77‐1.70)123 (27.1)25 (39.6)1.76 (1.02‐3.04)
Runny nose414 (48.3)60 (50.8)1.10 (0.75‐1.62)16 (14.2)2 (28.5)2.40 (0.42‐13.4)
Lower chest in‐drawing277 (36.8)47 (45.6)1.43 (0.95‐2.17)8 (13.7)0 (0)
Pre‐existing conditiona 305 (22.3)33 (9.5)0.74 (0.50‐1.10)23 (5.0)3 (4.7)0.93 (0.27‐3.20)
Children (5 to <18 y)
Cough929 (86.7)45 (91.8)1.71 (0.60‐4.85)693 (96.1)16 (84.2)0.21 (0.05‐0.78)
Shortness of breath471 (44.3)24 (48.9)1.20 (0.67‐2.13)87 (17.1)4 (30.7)2.14 (0.64‐7.10)
Fever (history)600 (66.0)21 (45.6)0.43 (0.23‐0.78)635 (85.4)17 (89.4)1.44 (0.32‐6.34)
Fever (≥38°C)669 (69.6)27 (62.7)0.73 (0.39‐1.38)237 (77.2)4 (100.0)
Wheeze178 (18.9)9 (19.5)1.04 (0.49‐2.19)30 (6.9)1 (8.3)1.20 (0.15‐9.68)
Sore throat350 (37.6)8 (23.5)0.50 (0.22‐1.13)218 (48.0)2 (18.1)0.24 (0.05‐1.12)
Runny nose197 (36.4)15 (57.6)2.38 (1.07‐5.28)21 (16.6)0 (0)
Lower chest in‐drawing95 (22.8)13 (52.0)3.66 (1.61‐8.28)0 (0)1 (100)
Pre‐existing conditiona 158 (14.6)13 (8.6)2.10 (1.08‐4.04)21 (4.6)1 (9.0)2.06 (0.25‐16.8)
Adults (18 to <65 y)
Cough2326 (92.3)71 (95.9)1.95 (0.60‐6.26)1746 (96.2)64 (94.1)0.63 (0.22‐1.78)
Shortness of breath1351 (53.8)39 (54.1)1.01 (0.63‐1.62)572 (50.6)21 (41.1)0.68 (0.38‐1.20)
Fever (history)1493 (84.4)43 (79.6)0.72 (0.36‐1.41)1592 (88.8)53 (80.3)0.51 (0.27‐0.95)
Fever (≥38°C)2051 (94.3)47 (85.4)0.35 (0.16‐0.76)353 (83.2)20 (83.3)1.00 (0.33‐3.03)
Wheeze432 (17.8)9 (12.5)0.65 (0.32‐1.33)184 (22.8)7 (16.6)0.67 (0.29‐1.54)
Sore throat799 (41.7)20 (35.0)0.75 (0.43‐1.31)387 (61.4)17 (48.5)0.59 (0.29‐1.17)
Runny nose388 (40.6)10 (52.6)1.62 (0.65‐4.02)43 (29.0)2 (28.5)0.97 (0.18‐5.22)
Lower chest in‐drawing70 (12.1)2 (28.5)2.90 (0.55‐15.2)0 (0)1 (16.6)
Pregnant148 (9.0)1 (2.3)0.23 (0.03‐1.75)12 (2.5)2 (8.0)3.34 (0.70‐15.8)
Pre‐existing conditionb 860 (33.7)31 (41.8)1.41 (0.88‐2.25)61 (9.5)3 (8.3)0.86 (0.25‐2.89)
Older adults (65+ y)
Cough1065 (92.1)51 (92.7)1.08 (0.38‐3.08)359 (97.8)17 (94.4)0.37 (0.04‐3.20)
Shortness of breath763 (66.1)39 (70.9)1.24 (0.68‐2.25)146 (74.4)9 (75.0)1.02 (0.26‐3.94)
Fever (history)423 (62.2)24 (58.5)0.85 (0.45‐1.62)308 (94.4)16 (100)
Fever (≥38°C)896 (83.8)36 (75.0)0.57 (0.29‐1.13)34 (82.9)0 (0)
Wheeze298 (27.2)22 (40.0)1.78 (1.02‐3.10)54 (47.7)2 (40.0)0.72 (0.11‐4.52)
Sore throat242 (29.9)10 (24.3)0.75 (0.36‐1.56)35 (58.3)1 (33.3)0.35 (0.03‐4.15)
Runny nose107 (38.6)7 (36.8)0.92 (0.35‐2.42)7 (36.8)0 (0)
Lower chest in‐drawing62 (19.8)6 (30.0)1.72 (0.63‐4.67)0 (0)0 (0)
Pre‐existing conditionb 762 (64.8)37 (67.2)1.11 (0.62‐1.98)21 (31.8)1 (33.3)1.07 (0.09‐12.4)

Pre‐existing condition includes prematurity, chronic respiratory disease including asthma, malnutrition, or immunodeficiency.

Pre‐existing condition includes respiratory disease, diabetes, heart disease, or immunodeficiency.

Clinical predictors for laboratory‐confirmed RSV for patients with extended SARI and ARI case definition, 2017‐18 Univariate Odds ratio (95% CI) Univariate Odds ratio (95% CI) RSV negative n (%) RSV positive n (%) RSV negative n (%) RSV positive n (%) Pre‐existing condition includes prematurity, chronic respiratory disease including asthma, malnutrition, or immunodeficiency. Pre‐existing condition includes respiratory disease, diabetes, heart disease, or immunodeficiency. The presence of either reported or measured fever was significantly less likely amongst RSV cases than RSV‐negative children <2 years than in those aged 6 months to 2 years. Similar trends in clinical predictors were seen in older children, adults, and older adults but were generally not statistically significant. Presence of a pre‐existing illness was not significantly associated with RSV infection except in children aged 5‐18 years. Clear statistically significant trends for RSV infection for most clinical predictors could not be ascertained for patients for any of the age‐groups attending outpatient clinics in a primary care setting, but these analyses were based on smaller numbers of patients and the confidence intervals on odds ratio estimates were generally wide.

Case definition

Amongst hospitalized infants <6 months age, 29% of those RSV cases that otherwise had been captured by an extended SARI case definition were missed after inclusion of measured or reported fever. The positive predictive value (PPV) of the SARI case definition that included fever was 34% for infants <6 months and 24% for children between 6 months to <2 years. The ability of fever to correctly identify the presence or absence of RSV infection was poor (area under the curve (AUC) – 0.31). The percent of missed cases was lower (18‐20%) in children 6 months to <5 years age. Apnea and sepsis individually had low sensitivity (8.3% and 4.7%) but were highly specific (93% and 89%) for RSV infection in infants <6 months. The addition of wheeze to the extended SARI case definition reduced the sensitivity to 36% in hospitalized infants <6 months age and to about 32‐33% in children aged 6 months to 5 years. Similar trends were seen amongst non‐hospitalized children, albeit with lower certainty. Amongst hospitalized older adults aged 65 years and more, the sensitivity of the SARI case definition after inclusion of fever and wheeze was 78% and 40%, respectively. Amongst non‐hospitalized older adults aged 65 years and more, the addition of fever reduced the sensitivity to 27%. However, the addition of wheeze to the extended SARI case definition increased the sensitivity to 98%, respectively (Table 5).
Table 5

Performance of SARI and ILI case definitions with reference to extended SARI (inpatient surveillance) and ARI (outpatient surveillance), 2017‐18

 Inpatient surveillance

PPV

(95% CI)

AUCOutpatient surveillance

PPV

(95% CI)

AUC

Sensitivity

(95% CI)

Specificity

(95% CI)

Sensitivity

(95% CI)

Specificity

(95% CI)

Young infants (0 to <6 m)Percent positivity – 36.9%Percent positivity – 15.8%
SARI (inpatient)/ILI (outpatient)71% (69‐73)20% (18 −21)34% (32‐36)0.3171% (51‐86)15% (10‐22)13% (8‐20)0.43
Apnea8.3% (6‐10)93% (92‐95)42% (34‐49)0.51 
Sepsis4.7% (3‐6)89% (88‐91)18% (13‐24)0.47 
Ex‐SARI/ARI + wheeze36% (33‐38)73% (71‐74)44% (41‐46)0.470% (2‐12)98% (95‐99)0.49
Children (6 m to <2 y)Percent positivity – 24.7%Percent positivity – 16.1%
SARI (inpatient)/ILI (outpatient)82% (80‐84)16% (15‐17)24% (23‐26)0.3283% (76‐89)11% (8‐13)15% (12‐18)0.47
Ex‐SARI/ARI + wheeze33% (31‐36)68% (66‐69)25% (23‐28)0.441.6% (0.2‐6)97% (96‐98)12% (2‐39)0.49
Children (2 to <5 y)Percent positivity – 12.0%Percent positivity −12.2%
SARI (inpatient)/ILI (outpatient)80% (74‐85)16% (14‐18)11% (9‐13)0.2992% (82‐97)9.9% (7‐13)12% (9‐15)0.51
Ex‐SARI/ARI + wheeze32% (25‐39)71% (69‐74)13% (10‐17)0.440% (0‐6)97% (95‐98)0.48
Children (5 to <18 y)Percent positivity – 4.3%Percent positivity – 2.3%
SARI (inpatient)/ILI (outpatient)77% (63‐87)18% (15‐20)4% (2‐5)0.2181% (48‐97)8.3% (6‐11)2% (1‐4)0.45
Ex‐SARI/ARI + wheeze18% (9‐32)83% (81‐85)4% (2‐9)0.440% (0‐28)99% (98‐100)0.49
Adults (18 to <65 y)Percent positivity – 2.8%Percent positivity – 5.3%
SARI (inpatient)/ILI (outpatient)89% (79‐94)6.6% (5‐7)2% (2‐3)0.4786% (70‐95)16% (13‐19)5% (3‐7)0.51
Ex‐SARI/ARI + wheeze12% (6‐22)83% (81‐84)2% (0.9‐4)0.472.7% (0.1‐14)98% (97‐99)9% (0.4‐42)0.50
Older adults (65+ y)Percent positivity – 4.4%Percent positivity – 4.3%
SARI (inpatient)/ILI (outpatient)78% (64‐87)15% (13‐17)4% (3‐5)0.4666% (9‐99)27% (17‐39)4% (0.6‐14)0.46
Ex‐SARI/ARI + wheeze40% (27‐54)74% (72‐77)6% (4‐10)0.570% (0‐70)98% (91‐99)0.49

Abbreviations: ARI, acute respiratory infection; AUC, area under curve; CI, confidence interval; Ex‐SARI, extended severe acute respiratory infection; ILI, influenza‐like illness; PPV, positive predictive value; SARI, severe acute respiratory infection.

Performance of SARI and ILI case definitions with reference to extended SARI (inpatient surveillance) and ARI (outpatient surveillance), 2017‐18 PPV (95% CI) PPV (95% CI) Sensitivity (95% CI) Specificity (95% CI) Sensitivity (95% CI) Specificity (95% CI) Abbreviations: ARI, acute respiratory infection; AUC, area under curve; CI, confidence interval; Ex‐SARI, extended severe acute respiratory infection; ILI, influenza‐like illness; PPV, positive predictive value; SARI, severe acute respiratory infection.

DISCUSSION

The lack of a global uniform surveillance case definition for RSV complicates the interpretation of surveillance data. In the WHO RSV surveillance pilot, the use of an extended SARI or an ARI case definition substantially increased the number of RSV infections detected also seen in other studies.12, 13 These definitions do not require fever to identify a suspect case. On the other hand, the inclusion of fever in the RSV surveillance case definition may not matter if the objective is solely to ascertain onset of the RSV season. However, including fever may significantly compromise the use of surveillance data to estimate RSV disease burden. Surveillance confirmed the high burden of RSV in children <2 years, especially in infants <6 months.7, 18, 19, 20 RSV commonly manifests clinically in infants with bronchiolitis.21, 22, 23 Wheeze has been one of the clinical end points of interest to evaluate vaccine efficacy trials.24 From a surveillance case definition perspective, including wheeze as a criteria reduces its sensitivity in children.25 Apnea, though it lacked sensitivity, was a significant clinical predictor for severe RSV infection requiring hospitalization in infants <6 months.22, 26, 27, 28 The reason for sepsis to be significantly less common amongst RSV‐positive hospitalized young infants in this study in contrast to other studies 29, 30 is unclear. The RSV surveillance case definition is not intended to modify or replace the SARI or ILI case definition for influenza surveillance. Countries reported challenges in the adoption of the extended SARI case definition in the early stages of the RSV surveillance which were resolved through training. In practice, the physician or nurse in a sentinel hospital engaged in both RSV and influenza surveillance, screened patients with acute onset cough or shortness of breath, and collected an appropriate respiratory specimen. Information on the presence or absence of fever was recorded in the specimen requisition form and sent to the laboratory along with the respiratory specimen. At the laboratory, all the specimens were tested for RSV, whereas those specimens from patients with fever were additionally tested for influenza. Moreover, the results for influenza were reported to FluNet only for those patients with fever. Notwithstanding the additional burden of reporting, this ensured that the RSV surveillance did not disturb the influenza surveillance system but complemented it by targeting a very young age‐group that is important, yet often underrepresented in influenza surveillance. The WHO RSV surveillance pilot had several limitations, and its early findings need to be interpreted with some caveats. Generalization of the findings should be made with caution. First, the number, type, and selection of sentinel sites varied across countries and were generally not designed to be nationally representative or comparable in terms of the clinical severity of patients included. Second, the strategy for sampling patients for testing varied across sentinel sites. This would need to be accounted for when estimating disease burden from surveillance data but is of no consequence for this analysis. Third, Brazil faced a shortfall of extended SARI cases and had to bridge the gap with patients sourced from SARI surveillance. However, with over 20 000 patients from all countries pooled together, the bias in evaluating the performance of fever as a criterion for detecting RSV would be small. Fourth, the PPV is likely to be higher during the RSV season, but it was beyond the scope of this analysis to robustly determine country‐specific seasonality patterns from data that covered just 2 years. There were several factors that could cause potential bias in the study. The clinical data were collected from patients or caregivers or physician records and could be subject to recall or measurement bias. It was beyond the scope of this analysis to evaluate the influence of recall of symptoms based on the interval between the onset of symptoms and when patients presented at the hospital or clinic. On the other hand, recall bias is not expected to be related to the RSV infection status. The health infrastructure, and healthcare availability, affordability and accessibility varied across different country contexts. The health seeking behavior of populations is likely to vary across different cultural contexts. The hospital admission practices are likely to vary across different settings as indicated by the heterogeneity in the severity of illness of patients screened for RSV also varied across different sites. It is beyond the scope, and not the purpose, of the RSV or any routine national disease surveillance system to collect information on these variables which are better studied in specialized research settings. In conclusion, we found that pilot countries with existing influenza surveillance were able to build on RSV surveillance on top of their influenza surveillance program with marginal incremental costs and effort. Countries did not report any significant adverse impact on influenza surveillance. The inclusion of fever as a criterion substantially reduces the sensitivity of a case definition to detect RSV infection in young children, where the burden of RSV is the highest. WHO should continue to closely monitor for adverse impact, if any, on influenza surveillance in different settings.
  25 in total

Review 1.  Respiratory syncytial virus bronchiolitis.

Authors:  Alexander K C Leung; James D Kellner; H Dele Davies
Journal:  J Natl Med Assoc       Date:  2005-12       Impact factor: 1.798

2.  Clinical Profiles of Respiratory Syncytial Virus Subtypes A AND B Among Children Hospitalized with Bronchiolitis.

Authors:  Federico R Laham; Jonathan M Mansbach; Pedro A Piedra; Kohei Hasegawa; Ashley F Sullivan; Janice A Espinola; Carlos A Camargo
Journal:  Pediatr Infect Dis J       Date:  2017-08       Impact factor: 2.129

Review 3.  Respiratory syncytial virus infection in adults.

Authors:  Ann R Falsey
Journal:  Semin Respir Crit Care Med       Date:  2007-04       Impact factor: 3.119

Review 4.  Incidence of apnea in infants hospitalized with respiratory syncytial virus bronchiolitis: a systematic review.

Authors:  Shawn Ralston; Vanessa Hill
Journal:  J Pediatr       Date:  2009-08-03       Impact factor: 4.406

5.  Epidemiology of respiratory syncytial virus-associated acute lower respiratory tract infection hospitalizations among HIV-infected and HIV-uninfected South African children, 2010-2011.

Authors:  Jocelyn Moyes; Cheryl Cohen; Marthi Pretorius; Michelle Groome; Anne von Gottberg; Nicole Wolter; Sibongile Walaza; Sumayya Haffejee; Meera Chhagan; Fathima Naby; Adam L Cohen; Stefano Tempia; Kathleen Kahn; Halima Dawood; Marietjie Venter; Shabir A Madhi
Journal:  J Infect Dis       Date:  2013-12-15       Impact factor: 5.226

Review 6.  Global, regional, and national disease burden estimates of acute lower respiratory infections due to respiratory syncytial virus in young children in 2015: a systematic review and modelling study.

Authors:  Ting Shi; David A McAllister; Katherine L O'Brien; Eric A F Simoes; Shabir A Madhi; Bradford D Gessner; Fernando P Polack; Evelyn Balsells; Sozinho Acacio; Claudia Aguayo; Issifou Alassani; Asad Ali; Martin Antonio; Shally Awasthi; Juliet O Awori; Eduardo Azziz-Baumgartner; Henry C Baggett; Vicky L Baillie; Angel Balmaseda; Alfredo Barahona; Sudha Basnet; Quique Bassat; Wilma Basualdo; Godfrey Bigogo; Louis Bont; Robert F Breiman; W Abdullah Brooks; Shobha Broor; Nigel Bruce; Dana Bruden; Philippe Buchy; Stuart Campbell; Phyllis Carosone-Link; Mandeep Chadha; James Chipeta; Monidarin Chou; Wilfrido Clara; Cheryl Cohen; Elizabeth de Cuellar; Duc-Anh Dang; Budragchaagiin Dash-Yandag; Maria Deloria-Knoll; Mukesh Dherani; Tekchheng Eap; Bernard E Ebruke; Marcela Echavarria; Carla Cecília de Freitas Lázaro Emediato; Rodrigo A Fasce; Daniel R Feikin; Luzhao Feng; Angela Gentile; Aubree Gordon; Doli Goswami; Sophie Goyet; Michelle Groome; Natasha Halasa; Siddhivinayak Hirve; Nusrat Homaira; Stephen R C Howie; Jorge Jara; Imane Jroundi; Cissy B Kartasasmita; Najwa Khuri-Bulos; Karen L Kotloff; Anand Krishnan; Romina Libster; Olga Lopez; Marilla G Lucero; Florencia Lucion; Socorro P Lupisan; Debora N Marcone; John P McCracken; Mario Mejia; Jennifer C Moisi; Joel M Montgomery; David P Moore; Cinta Moraleda; Jocelyn Moyes; Patrick Munywoki; Kuswandewi Mutyara; Mark P Nicol; D James Nokes; Pagbajabyn Nymadawa; Maria Tereza da Costa Oliveira; Histoshi Oshitani; Nitin Pandey; Gláucia Paranhos-Baccalà; Lia N Phillips; Valentina Sanchez Picot; Mustafizur Rahman; Mala Rakoto-Andrianarivelo; Zeba A Rasmussen; Barbara A Rath; Annick Robinson; Candice Romero; Graciela Russomando; Vahid Salimi; Pongpun Sawatwong; Nienke Scheltema; Brunhilde Schweiger; J Anthony G Scott; Phil Seidenberg; Kunling Shen; Rosalyn Singleton; Viviana Sotomayor; Tor A Strand; Agustinus Sutanto; Mariam Sylla; Milagritos D Tapia; Somsak Thamthitiwat; Elizabeth D Thomas; Rafal Tokarz; Claudia Turner; Marietjie Venter; Sunthareeya Waicharoen; Jianwei Wang; Wanitda Watthanaworawit; Lay-Myint Yoshida; Hongjie Yu; Heather J Zar; Harry Campbell; Harish Nair
Journal:  Lancet       Date:  2017-07-07       Impact factor: 79.321

7.  Informing randomized clinical trials of respiratory syncytial virus vaccination during pregnancy to prevent recurrent childhood wheezing: A sample size analysis.

Authors:  Corinne A Riddell; Niranjan Bhat; Louis J Bont; William D Dupont; Daniel R Feikin; Deshayne B Fell; Tebeb Gebretsadik; Tina V Hartert; Jennifer A Hutcheon; Ruth A Karron; Harish Nair; Robert C Reiner; Ting Shi; Peter D Sly; Renato T Stein; Pingsheng Wu; Heather J Zar; Justin R Ortiz
Journal:  Vaccine       Date:  2018-11-22       Impact factor: 3.641

Review 8.  Global and regional burden of hospital admissions for severe acute lower respiratory infections in young children in 2010: a systematic analysis.

Authors:  Harish Nair; Eric Af Simões; Igor Rudan; Bradford D Gessner; Eduardo Azziz-Baumgartner; Jian Shayne F Zhang; Daniel R Feikin; Grant A Mackenzie; Jennifer C Moiïsi; Anna Roca; Henry C Baggett; Syed Ma Zaman; Rosalyn J Singleton; Marilla G Lucero; Aruna Chandran; Angela Gentile; Cheryl Cohen; Anand Krishnan; Zulfiqar A Bhutta; Adriano Arguedas; Alexey Wilfrido Clara; Ana Lucia Andrade; Maurice Ope; Raúl Oscar Ruvinsky; María Hortal; John P McCracken; Shabir A Madhi; Nigel Bruce; Shamim A Qazi; Saul S Morris; Shams El Arifeen; Martin W Weber; J Anthony G Scott; W Abdullah Brooks; Robert F Breiman; Harry Campbell
Journal:  Lancet       Date:  2013-01-29       Impact factor: 79.321

9.  Evaluation of case definitions for estimation of respiratory syncytial virus associated hospitalizations among children in a rural community of northern India.

Authors:  Siddhartha Saha; Bharti Gaur Pandey; Avinash Choudekar; Anand Krishnan; Susan I Gerber; Sanjay K Rai; Pratibha Singh; Mandeep Chadha; Renu B Lal; Shobha Broor
Journal:  J Glob Health       Date:  2015-12       Impact factor: 4.413

10.  Assessment and Validation of Syndromic Case Definitions for Respiratory Syncytial Virus Testing in a Low Resource Population.

Authors:  Saad B Omer; Robert Bednarczyk; Momin Kazi; L Beryl Guterman; Fatima Aziz; Kristen E Allen; Inci Yildirim; S Asad Ali
Journal:  Pediatr Infect Dis J       Date:  2019-03       Impact factor: 2.129

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  13 in total

1.  Spotlight influenza: Extending influenza surveillance to detect non-influenza respiratory viruses of public health relevance: analysis of surveillance data, Belgium, 2015 to 2019.

Authors:  Lorenzo Subissi; Nathalie Bossuyt; Marijke Reynders; Michèle Gérard; Nicolas Dauby; Patrick Lacor; Siel Daelemans; Bénédicte Lissoir; Xavier Holemans; Koen Magerman; Door Jouck; Marc Bourgeois; Bénédicte Delaere; Sophie Quoilin; Steven Van Gucht; Isabelle Thomas; Cyril Barbezange
Journal:  Euro Surveill       Date:  2021-09

2.  Epidemiology and genetic characterization of respiratory syncytial virus in children with acute respiratory infections: Findings from the influenza sentinel surveillance network in Central African Republic, 2015 to 2018.

Authors:  Giscard F Komoyo; Brice M Yambiyo; Alexandre Manirakiza; Jean C Gody; Claude P Muller; Judith M Hübschen; Emmanuel Nakoune; Chantal J Snoeck
Journal:  Health Sci Rep       Date:  2021-05-11

3.  A comparative analysis of the epidemiology of influenza and respiratory syncytial virus in Russia, 2013/14 to 2018/19.

Authors:  Saverio Caini; Kirill Stolyarov; Anna Sominina; Elizaveta Smorodintseva; Lisa Staadegaard; John Paget; Daria Danilenko
Journal:  J Glob Health       Date:  2022-02-05       Impact factor: 4.413

4.  Active surveillance of acute paediatric hospitalisations demonstrates the impact of vaccination programmes and informs vaccine policy in Canada and Australia.

Authors:  Karina A Top; Kristine Macartney; Julie A Bettinger; Ben Tan; Christopher C Blyth; Helen S Marshall; Wendy Vaudry; Scott A Halperin; Peter McIntyre
Journal:  Euro Surveill       Date:  2020-06

5.  Clinical characteristics, predictors, and performance of case definition-Interim results from the WHO global respiratory syncytial virus surveillance pilot.

Authors:  Siddhivinayak Hirve; Nigel Crawford; Rakhee Palekar; Wenqing Zhang
Journal:  Influenza Other Respir Viruses       Date:  2019-10-31       Impact factor: 4.380

6.  Prevalence and Risk Factors of Respiratory Syncytial Virus in Children under 5 Years of Age in the WHO European Region: A Systematic Review and Meta-Analysis.

Authors:  Nora Suleiman-Martos; Alberto Caballero-Vázquez; Jose Luis Gómez-Urquiza; Luis Albendín-García; Jose Luis Romero-Béjar; Guillermo A Cañadas-De la Fuente
Journal:  J Pers Med       Date:  2021-05-15

7.  Decreased human respiratory syncytial virus activity during the COVID-19 pandemic in Japan: an ecological time-series analysis.

Authors:  Keita Wagatsuma; Iain S Koolhof; Yugo Shobugawa; Reiko Saito
Journal:  BMC Infect Dis       Date:  2021-08-03       Impact factor: 3.090

8.  Reversible disruption of XPO1-mediated nuclear export inhibits respiratory syncytial virus (RSV) replication.

Authors:  Cynthia Mathew; Sharon Tamir; Ralph A Tripp; Reena Ghildyal
Journal:  Sci Rep       Date:  2021-09-28       Impact factor: 4.379

9.  Recommendations for respiratory syncytial virus surveillance at the national level.

Authors:  Anne C Teirlinck; Eeva K Broberg; Are Stuwitz Berg; Harry Campbell; Rachel M Reeves; AnnaSara Carnahan; Bruno Lina; Gatis Pakarna; Håkon Bøås; Hanna Nohynek; Hanne-Dorthe Emborg; Harish Nair; Janine Reiche; Jesus Angel Oliva; Joanne O'Gorman; John Paget; Karol Szymanski; Kostas Danis; Maja Socan; Manuel Gijon; Marie Rapp; Martina Havlíčková; Ramona Trebbien; Raquel Guiomar; Siddhivinayak S Hirve; Silke Buda; Sylvie van der Werf; Adam Meijer; Thea K Fischer
Journal:  Eur Respir J       Date:  2021-10-01       Impact factor: 16.671

10.  The Global Epidemiology of RSV in Community and Hospitalized Care: Findings From 15 Countries.

Authors:  Lisa Staadegaard; Saverio Caini; Sonam Wangchuk; Binay Thapa; Walquiria Aparecida Ferreira de Almeida; Felipe Cotrim de Carvalho; Richard Njouom; Rodrigo A Fasce; Patricia Bustos; Jan Kyncl; Ludmila Novakova; Alfredo Bruno Caicedo; Domenica Joseth de Mora Coloma; Adam Meijer; Mariëtte Hooiveld; Sue Huang; Tim Wood; Raquel Guiomar; Ana Paula Rodrigues; Daria Danilenko; Kirill Stolyarov; Vernon Jian Ming Lee; Li Wei Ang; Cheryl Cohen; Jocelyn Moyes; Amparo Larrauri; Concepción Delgado-Sanz; Mai Quynh Le; Phuong Vu Mai Hoang; Clarisse Demont; Mathieu Bangert; Jojanneke van Summeren; Michel Dückers; John Paget
Journal:  Open Forum Infect Dis       Date:  2021-03-30       Impact factor: 3.835

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