| Literature DB >> 31665779 |
Se Eun Park1,2, Trevor Toy1, Ligia Maria Cruz Espinoza1, Ursula Panzner1, Ondari D Mogeni1, Justin Im1, Nimesh Poudyal1,3, Gi Deok Pak1, Hyeongwon Seo1, Yun Chon1, Heidi Schütt-Gerowitt1,4, Vittal Mogasale1, Enusa Ramani1, Ayan Dey1, Ju Yeong Park1, Jong-Hoon Kim1, Hye Jin Seo1, Hyon Jin Jeon1,5, Andrea Haselbeck1, Keriann Conway Roy6, William MacWright6, Yaw Adu-Sarkodie7,8, Ellis Owusu-Dabo1,8, Isaac Osei8, Michael Owusu8, Raphaël Rakotozandrindrainy9, Abdramane Bassiahi Soura10, Leon Parfait Kabore11, Mekonnen Teferi12, Iruka N Okeke13, Aderemi Kehinde14,15, Oluwafemi Popoola16,17, Jan Jacobs18,19, Octavie Lunguya Metila20,21, Christian G Meyer22,23, John A Crump24,25,26,27, Sean Elias28, Calman A Maclennan29, Christopher M Parry29, Stephen Baker2,5,30, Eric D Mintz31, Robert F Breiman5, John D Clemens32,33, Florian Marks1,5.
Abstract
BACKGROUND: Invasive salmonellosis is a common community-acquired bacteremia in persons residing in sub-Saharan Africa. However, there is a paucity of data on severe typhoid fever and its associated acute and chronic host immune response and carriage. The Severe Typhoid Fever in Africa (SETA) program, a multicountry surveillance study, aimed to address these research gaps and contribute to the control and prevention of invasive salmonellosis.Entities:
Keywords: Severe typhoid fever; host immunity and carriage; invasive Salmonellosis; sub-Saharan Africa; surveillance protocol
Mesh:
Year: 2019 PMID: 31665779 PMCID: PMC6821161 DOI: 10.1093/cid/ciz715
Source DB: PubMed Journal: Clin Infect Dis ISSN: 1058-4838 Impact factor: 9.079
Objectives and Outcomes of the Severe Typhoid Fever in Africa Program
| Objective | Outcome |
|---|---|
| 1. To estimate the burden and severity of invasive | a. Population-based adjusted incidence of invasive |
| 2. To assess the immune response and carriage associated with natural TF, PF, and iNTS infection over a 1-year follow-up period | a. Assessment of the magnitude and duration of the immune response to TF, PF, and iNTS after natural infection |
| 3. To estimate the prevalence of | a. Prevalence of |
| 4. To estimate public and private expenditures for treatment and productivity loss associated with illness due to TF, PF, and iNTS infectionsa | a. Calculation of per-case direct and indirect cost of illness for TF, PF, and iNTS, categorized by payer and stratified by age and type of service used |
| 5. To estimate the effects of invasive salmonellosis on the quality of life of patients and the subsequent disease-related family and societal burdens over a 1-year follow-up perioda | a. Assessment of the quality of life of patients affected with invasive salmonellosis compared to a control group over a 1-year follow-up period |
| 6. To validate a new rt-PCR assay for the diagnosis of invasive | a. Validation of rt-PCR assay for the diagnosis of invasive |
Abbreviations: iNTS, invasive nontyphoidal Salmonella; NTS, nontyphoidal Salmonella; PF, paratyphoid fever; rt-PCR, reverse-transcription polymerase chain reaction; SETA, Severe Typhoid Fever Surveillance in Africa program; TF, typhoid fever.
aNot applicable for Nigeria and the Democratic Republic of Congo.
bOnly for Burkina Faso and Ghana.
Figure 1.Locations of the Severe Typhoid Fever in Africa program sites. Population data sources: Burkina Faso: United Nations population division, Department of Economic and Social Affairs, 2014; Ouagadougou Health and Demographic Surveillance System routine data, 2015 (NiokoII/Polesgo nested in Ouagadougou); International Network for the Demographic Evaluation of Populations and Their Health. Democratic Republic of Congo: Kisantu Central Health Zone Office, 2017 (Nkandu/Kavwaya nested in Kisantu). Ethiopia: 2016 Ethiopia Health Management Information System, Ministry of Health. Ghana: Agogo Presbyterian Hospital official catchment area (Asante Akim North); 2010 Population and Housing Census (Asante Akim Central and Kumasi Metropolis). Madagascar: Ministry of Health, Repartition de la population par Fokotany, 2018 (Imerintsiatosika); Madagascar Population Statistics from Institut National de la Statistique de Madagascar (National Institute of Statistics)/United Nations Population Fund, 2015 (Antananarivo); commune census, 2019 (Belobaka). Nigeria: Annual Abstract of Statistics 2011, National Bureau of Statistics, Federal Republic of Nigeria. Abbreviation: INDEPTH, International Network for the Demographic Evaluation of Populations and Their Health.
Selected Sites, Healthcare Facilities, and Collaborating Institutions of the Severe Typhoid Fever in Africa Program
| Countrya | Study Site | Setting | Catchment population sizeb | Healthcare facility | Healthcare facility type | Study periodc | Collaborating Institution | Site Laboratory |
|---|---|---|---|---|---|---|---|---|
| Burkina Faso | Ouagadougou | Urban | 2.57 million (2014) | a. Yalgado Hospital | Tertiary | Sep 2016-Jun 2019 | ISSP | Schiphra Hospital Laboratory |
| b. Charles de Gaulle Hospital | Pediatric Tertiary | Dec 2016-Jun 2019 | ||||||
| c. Kossodo Hospital | Secondary | May 2016-Dec 2020 | ||||||
| d. Polesgo Health Care Center | Primary | May 2016-Dec 2020 | ||||||
| Balé | Rural | 216,194 (2006) | Medically under-served area | ... | Apr 2017-Oct 2018 | |||
| Democratic Republic of Congo (DRC) | Kisantu | Rural & Urban | 190,829 (2017) | a. Kisantu Hospital Saint-Luc | Tertiary | Sep 2017-Jan 2020 | NIBR | Saint Luc Kisantu Hospital Laboratory |
| b. Nkandu 1 Health Center | Primary | Jan 2018-Jan 2020 | ||||||
| c. Kavuaya Health Center | Primary | Jan 2018-Jan 2020 | ||||||
| n/a | n/a | n/a | Medically under-served area: n/a | n/a | n/a | |||
| Ethiopia | Wolayita Sodo | Semi-urban | 117,647 (2016) | a. Sodo Health Center | Primary | Jul 2017-Sep 2019 | AHRI | Sodo Teaching Hospital; |
| b. Sodo Teaching Hospital | Secondary/ Tertiary | Jul 2017-Sep 2019 | ||||||
| c. Sodo Christian Hospital | Secondary/ Tertiary | Jul 2017-Sep 2019 | ||||||
| Adama Wenji | Semi-urban | 52,770 (2016) | a. Shewa Alem Tena Health Center | Primary | Aug 2017-Sep 2019 | |||
| b. Gefersa Health Center | Primary | Aug 2017-Sep 2019 | ||||||
| c. Kuriftu Health Center | Primary | Aug 2017-Sep 2019 | ||||||
| d. Adama Hospital | Secondary/ Tertiary | Aug 2017-Sep 2019 | ||||||
| n/a | n/a | n/a | Medically under-served area: n/a | n/a | n/a | |||
| Ghana | AAN & AAC | Rural & Urban | 220,999 (2010) | a. Agogo Presbyterian Hospital | Secondary | May 2016-May 2019 | KCCR; | KCCR; |
| Kumasi Metropolis | Urban | 1.73 million (2010) |
|
| May 2016-May 2019 | |||
|
|
| 19,382 (2010) |
|
|
| |||
| Madagascar | Antananarivo Renivohitra | Urban | 1.37 million (2015) | a. Centre Hospitalier Universitaire d’Antananarivo- | Tertiary | May 2016-July 2019 | UOA | UOA |
| b. Centre Hospitalier Universitaire Joseph Raseta Befelatanana | Secondary/ Tertiary | June 2016-July 2019 | ||||||
| c. Centre Hospitalier Universitaire Mere Enfant Tsaralalana | Pediatric Secondary/ Tertiary | June 2016-July 2019 | ||||||
| Imerintsiatosika | Rural | 48,524 (2018) | a. Imerintsiatosika Centre de Santé de Base II (CSBII) | Primary | Feb 2016-July 2019 | |||
| Belobaka (in Mahajanga II) | Coastal | 9,238 (2019) | a. Belobaka Centre de Santé de Base II (CSBII) | Primary | June 2018-July 2019 | |||
| Andina commune | Rural | 24,425 (2015) | Medically under-served area | ... | Mar 2016-July 2019 | |||
| Nigeria | Metropolitan Ibadan | Urban | 1.34 million (2011) | a. University College Hospital | Tertiary | Feb 2017-July 2019 | UOI College of Medicine; | University College Hospital, Department of Medical Microbiology and Parasitology |
| b. Our Lady of Apostles Catholic Hospital Oluyoro | Secondary | April 2017-July 2019 | ||||||
| c. Adeoyo Maternity Teaching Hospital | Secondary | May 2017-July 2019 | ||||||
| d. Kola Daisi Foundation Community Health Centre | Primary | April 2017-July 2019 | ||||||
| Ibarapa North | Semi-urban | 121,860 (2011) | Medically under-served area | ... | May 2018-July 2019 |
Abbreviations: DRC, Democratic Republic of Congo; n/a, not available; AAN, Asante Akim North; AAC, Asante Akim Central; ISSP, Institut Superieur des Sciences de la Population; NIBR, National Institute of Biomedical Research; AHRI, Armauer Hansen Research Institute; KCCR, Kumasi Center for Collaborative Research; KNUST, Kwame Nkrumah University of Science and Technology; UOA, University of Antananarivo; UOI, University of Ibadan
aEthical approval: International Vaccine Institute Institutional Review Board (IRB No. 2015-006); Institute of Tropical Medicine Antwerp Institutional Review Board, Belgium; Universiteit Antwerpen, Comite voor Medische Ethiek, Belgium; Ministère de la Santé du Burkina Faso, Comité d’Ethique pour la Recherche en Santé, Burkina Faso; Comité d’Ethique de l’Ecole de Santé Publique de l’Université de Kinshasa, Democratic Republic of Congo (No ESP/CE/011/2017); National Research Ethics Review Committee (NRERC), Ministry of Science and Technology, Federal Democratic Republic of Ethiopia; AHRI/All African Leprosy, Tuberculosis and Rehabilitation Training Center (ALERT) Ethics Review Committee (AAERC), Ethiopia; National Research Ethics Review Committee (NRERC), Ethiopia; Kwame Nkrumah University of Science and Technology, School of Medical Sciences/Komfo Anokye Teaching Hospital, Committee on Human Research, Publication and Ethics, Ghana; Ministère de la Santé du Repoblikan’l Madagaskar, Comité d’Ethique, Madagascar;University of Ibadan/University College Hospital Ethics Committee (No. UI/EC/16/0369), Ibadan, Nigeria; Ethics Committee, Our Lady of Apostles Catholic Hospital Oluyoro (OLA) (No. OCH/EC/17/05), Ibadan, Nigeria; Oyo State Ethics Review Committee (AD13/479/665A), Nigeria.
bSource of population data: see Figure 1. Population data of the medically under-served areas in Madagascar are from the respective commune census.
cStudy period for the surveillance activities including the enrolment of eligible participants and follow-ups.
dThe study duration in the DRC and Nigeria may be extended until July 2020 for additional one year surveillance activities.
Inclusion Criteria
| Patient enrollment in tertiary healthcare facilities: |
| Patient enrollment in primary and secondary healthcare facilities: |
| Neighborhood controls: |
| Household contacts: |
Abbreviations: iNTS, invasive nontyphoidal Salmonella; SETA, Severe Typhoid in Africa program; TF, typhoid fever.
Case Definitions
| Case Type | Definition |
|---|---|
| Confirmed TF case | Positive blood culture for |
| Mild TF case | Blood culture–confirmed TF without any complication of TF listed in Table 6 |
| Severe TF casea | Blood culture confirmed TF with any one complication(s) of TF listed in Table 6 |
| Special caseb | Pathognomonic gastrointestinal perforations (ie, clinically diagnosed TF gastrointestinal perforation), even in the absence of laboratory confirmation, in patients living in and outside the defined catchment area |
| Confirmed PF case | Patients with a positive blood culture for |
| Confirmed iNTS disease case | Patients with a positive blood culture for any nontyphoidal |
| Relapse | Blood culture–confirmed case who becomes ill with a subsequent episode of TF/PF/iNTS disease within 90 days of the prime infection. (A relapse should be a discernably similar or identical infecting strain, for which further genomic analyses will be performed.) |
| Reinfection | Blood culture–confirmed case who becomes ill with a subsequent episode of TF/PF/iNTS disease on or after a 90-day period after documentation of a previous blood culture–confirmed TF/PF/iNTS disease. (A reinfection should be a discernably different infecting strain, for which further genomic analyses will be performed.) |
|
| An individual shedding |
Abbreviations: iNTS, invasive nontyphoidal Salmonella; NTS, nontyphoidal Salmonella; PF, paratyphoid fever; TF, typhoid fever.
aSevere typhoid: Refer to Table 6 for complications associated with TF.
bSpecial case: Refer to Table 3 for study inclusion criteria.
Follow-Up Schedule and Sample and Data Collection for Seta Participants
| Enrolment of eligible patients | Follow-up of Study participants | Follow-up Scheduleb | ||||||
|---|---|---|---|---|---|---|---|---|
| Day 0a | Day 3–7c | Day 12–14 | Day 28–30 | Day 90 | Day 180 | Day 270 | Day 365 | |
| Blood |
| Blood | ...
| Blood | Blood | Blood | ...
| Blood |
| Neighborhood controls (NCs) | Enrolment | Follow-up | ||||||
| Blood | ...
| ...
| ...
| Blood | ...
| Blood | ||
| LT-SES | LT-SES | LT-SES | LT-SES | LT-SES
| ...
| LT-SES
| ||
| Household contacts (HCs)g | Enrolment | Follow-up | ||||||
|
| ...
| ...
| ...
|
| ...
| Blood | ||
| Clinical cases (CCs)i | COIf | COIf | COIf | COIf | ... | ... | ... | |
Abbreviations: COI, cost of illness; COOI, Cost of other illness; LT-SES, long-term socioeconomic study; iNTS, invasive nontyphoidal Salmonella; OPS, oropharyngeal swab; QoL, Quality-of-Life.
aDay 0: Enrolment date of the SETA study-eligible patients who meet the study inclusion criteria (See Table 3).
bClinical follow-up visits for cases: visit 1 (Day 3–7 or as soon as blood culture confirmation), visit 2 (days 28–30), visit 3 (day 90), visit 4 (day 180), and visit 5 (day 365) with a window period of +7 days (or longer as appropriate to address challenges in the respective study field settings).
cDay 3–7: Date when blood culture result is known. This time point may not be strictly limited as scheduled.
dOPS collection at enrolment and for only iNTS cases and the corresponding matched neighborhood controls (NCs) and household contacts (HCs). Country-specific adjustments may be further applied.
eLT-SES and COI surveys are performed in parallel to the clinical follow-up visits of cases and NCs, with additional follow-up time points (days 12–14 and day 270). LT-SES: Quality-of-Life (QoL) and Long-term Socio-Economic Study surveys.
fCOI & COOI stops when self-reported illness ends. Only S. typhi cases, special cases and NCs receive COOI.
gEnrolment of NCs and HCs are recommended during the first follow-up visit of the corresponding cases, which is day 3–7 or as soon as blood culture confirmation of cases.
hClinical follow-up visits for NCs and HCs after enrolment: visit 1 (day 180) and visit 2 (day 365).
iClinical cases (CCs): Clinical cases are laboratory negative but clinical suspected typhoid fever cases. CCs are matched with S. Typhi cases and special cases.
Possible Systemic Complications of Typhoid Fever
| Complication | Definition | ||
|---|---|---|---|
| Gastrointestinal bleedinga | The presence of visible blood or melena in the stool with a positive fecal occult blood test | ||
| Gastrointestinal perforation | Gastrointestinal perforation in the vicinity of the terminal ileum (or ileum/cecum/colon) typical of typhoid and seen at laparotomy (if available) | ||
| Encephalopathyb | Patients with any of the following aspects of altered mental status: (1) Delirium: markedly confused thinking and speech; (2) Obtundation: patient who appears unconscious but can be stimulated to respond appropriately to questions and comments; (3) Stuporose: patient who does not respond appropriately to any stimuli but withdraws appropriately to noxious stimuli; (4) Comatose: patient who does not respond appropriately to noxious stimuli. These exclude patients with disorientation and poor short-term memory but not delirium; apathetic or lethargic without obtundation | ||
| Meningitis | Symptoms suggestive of meningitis and an abnormal CSF examination with/without | ||
| Hemodynamic shocka | Systolic blood pressure <90 mm Hg in patients aged ≥12 y or <80 mm Hg in patients aged <12 y with clinical evidence of tissue hypoperfusion (ie, abnormal state of consciousness; cold and clammy skin; constricted peripheral veins; oliguria [<20 mL urine/h] after rehydration) | ||
| Myocarditisa | Abnormal cardiac rhythm or abnormal ECG as interpreted by physician; ultrasound evidence of a pericardial effusion; ventricular failure | ||
| Hepatitisa | Visible jaundice and/or hepatomegaly with abnormal levels of serum SGOT (AST) (>400 IU/L) and/or SGPT (ALT) (>400 IU/L) or >5 times the ULN of liver enzyme tests | ||
| Cholecystitisa | Right upper quadrant pain and tenderness without evidence of hepatitis; ultrasound evidence of enlarged gall bladder or gall bladder with thickened wall | ||
| Pneumoniaa | Respiratory symptoms (eg, cough) with abnormal chest radiograph infiltrates | ||
| Pleural effusion | Clinical (ie, shortness of breath, chest pain) and radiological evidence of a pleural effusion | ||
| Anemiac | Moderate: | Severe: | |
| Focal infection | Abscess or collection at a specific site (eg, spleen, joint, bone) with | ||
| Renal impairment | Creatinine >2 mg/dL |
Abbreviations: ALT, alanine aminotransferase; AST, aspartate aminotransferase; CSF, cerebrospinal fluid; ECG, electrocardiogram; GCS, Glasgow Coma Scale; Hb, hemoglobin; SGOT, Serum Glutamic Oxaloacetic Transaminase; SGPT, Serum Glutamic Pyruvic Transaminase; ULN, upper limit of normal; WBC, white blood cell.
aNdila C, Bauni E, Mochamah G, et al. Causes of death among persons of all ages within the Kilifi Health and Demographic Surveillance System, Kenya, determined from verbal autopsies interpreted using the InterVA-4 model. Glob Health Action 2014; 7:25593.
bLeung DT, Bogetz J, Itoh M, et al. Factors associated with encephalopathy in patients with Salmonella enterica serotype Typhi bacteremia presenting to a diarrheal hospital in Dhaka, Bangladesh. Am J Trop Med Hyg 2012; 86:698–702.
cWorld Health Organization; Chan M. Haemoglobin concentrations for the diagnosis of anaemia and assessment of severity. Geneva, Switzerland: WHO, 2011:1–6.
Formula for Incidence Estimations
| Variable | Definition |
|---|---|
| ni | Number of cases |
| si | Number of severe typhoid fever cases during surveillance period in age group i |
| 1ni | Population present in catchment area at the start of surveillance in age group i |
| 2ni | Estimated population present in catchment area at the end of surveillance in age group i |
| ri | Recruitment proportion of eligible patients in SETA healthcare facilities in age group i |
| hi | Proportion of population visiting SETA health care facilities (HCUS) in age group i |
| Adni | Adjusted cases in age group i |
| Adsi | Adjusted cases of severe typhoid in age group i |
| PYOi | Population in person years observation in catchment area in age group i |
| APYOi (Adjusted PYO) | Adjusted population at risk contributing to PYO in age group i (accounting for new, lost to follow-up, deceased individuals during surveillance period) |
|
| Incidence per 100,000 |
| Incidence of severe TF | Number of severe typhoid fever cases during surveillance period in age group i: s |
| Frequency proportion of severe TF | Number of severe typhoid fever cases out of total laboratory confirmed typhoid fever cases in percentages |
Abbreviations: APYO, adjusted person-years of observation; HCUS, healthcare utilization survey; iNTS, invasive nontyphoidal Salmonella; NTS, nontyphoidal Salmonella; PF, paratyphoid
fever; PYO, person-years of observation; SETA, Severe Typhoid Fever in Africa program; TF, typhoid fever; TSAP, Typhoid Fever Surveillance in Africa Program.
avon Kalckreuth, V, Konings F, Aaby P, et al. The Typhoid Fever Surveillance in Africa Program (TSAP): Clinical, Diagnostic, and Epidemiological Methodologies. Clin. Infect. Dis 2016; 62:S9-S16.