| Literature DB >> 26449944 |
Esther Muthumbi1, Susan C Morpeth2, Michael Ooko1, Alfred Mwanzu1, Salim Mwarumba1, Neema Mturi1, Anthony O Etyang2, James A Berkley3, Thomas N Williams3, Samuel Kariuki4, J Anthony G Scott2.
Abstract
BACKGROUND: Invasive salmonelloses are a major cause of morbidity and mortality in Africa, but the incidence and case fatality of each disease vary markedly by region. We aimed to describe the incidence, clinical characteristics, and antimicrobial susceptibility patterns of invasive salmonelloses among children and adults in Kilifi, Kenya.Entities:
Keywords: Kenya; Salmonella; Typhi; incidence; nontyphoidal
Mesh:
Year: 2015 PMID: 26449944 PMCID: PMC4596936 DOI: 10.1093/cid/civ737
Source DB: PubMed Journal: Clin Infect Dis ISSN: 1058-4838 Impact factor: 9.079
Figure 1.Consolidated Standards of Reporting Trials (CONSORT) diagram representing flow of patients. A, Children. B, Adults. Abbreviations: CSF, cerebrospinal fluid; NTS, nontyphoidal Salmonella.
Characteristics of Patients Presenting With Invasive Nontyphoidal Salmonella Disease and Associated Risk Factors in Children and Adults
| Characteristic | NTS Bacteremia, No. | Other Admissions, | Unadjusted OR | Adjusted OR | ||
|---|---|---|---|---|---|---|
| Children | n = 357 | n = 75 676 | ||||
| Clinical features | ||||||
| Sex, male | 199 (55.7) | 42 495/75 676 (56.4) | 0.96 (.78–1.17) | .667 | ||
| Temperature | ||||||
| Low | 24/351 (6.9) | 11 070/74 361 (14.9) | 0.78 (.49–1.21) | .271 | 0.24 (.07–.80) | .020 |
| Normal | 66/351 (18.8) | 22 792/74 361 (30.7) | ||||
| High | 261/351 (74.4) | 40 499/74 361 (54.5) | 2.17 (1.66–2.82) | <.001 | 2.03 (1.27–3.28) | <.001 |
| Diarrhea | 103/344 (29.9) | 13 739/72 561 (18.9) | 1.88 (1.50–2.36) | <.001 | ||
| Vomiting | 110 (32.0) | 19 121/73 396 (26.1) | 1.33 (1.06–1.67) | .012 | ||
| Malnutrition | 103 (31.4) | 12 619/70 584 (17.9) | 2.16 (1.71–2.71) | <.001 | 2.25 (1.47–3.44) | <.001 |
| Severe pneumonia | 61 (17.1) | 12 563/75 676 (16.8) | ||||
| Very severe | 60 (16.9) | 10 324/75 676 (13.8) | 1.2 (.84–1.71) | .319 | ||
| Pneumonia | ||||||
| Splenomegaly | 40 (19.0) | 3351/56 026 (6.0) | 3.66 (2.60–5.15) | <.001 | 4.61 (2.70–7.86) | <.001 |
| Hepatomegaly | 37 (17.6) | 4133/56 027 (7.4) | 2.67 (1.88–3.79) | <.001 | ||
| Laboratory features | ||||||
| Malaria slide positive | 99/352 (28.1) | 18 645/71 973 (25.9) | 1.08 (.85–1.36) | .532 | ||
| HIV positive | 60/249 (24.1) | 1998/31 077 (6.4) | 4.53 (3.39–6.06) | <.001 | 5.16 (3.29–8.07) | <.001 |
| Adults | n = 30 | n = 22 894 | ||||
| Clinical features | ||||||
| Sex, male | 11 (36.7) | 9846/22 894 (43.0) | 0.77 (.36–1.61) | .485 | ||
| Temperature | ||||||
| Low | 9 (30.0) | 7336/21 339 (34.4) | 1.37 (.54–3.46) | .501 | ||
| Normal | 9 (30.0) | 10 076/21 339 (47.2) | 1 | |||
| High | 12 (40.0) | 3927/21 339 (18.4) | 3.42 (1.44–8.13) | .005 | ||
| Diarrhea | 14 (46.7) | 1604/21 541 (7.4) | 10.88 (5.30–22.32) | <.001 | 4.34 (1.88–10.02) | .001 |
| Vomiting | 12 (40.0) | 2501/21 542 (11.6) | 5.08 (2.44–10.55) | <.001 | ||
| Splenomegaly | 2 (6.7) | 217/21 527 (1.0) | 7.01 (1.66–29.63) | .008 | ||
| Hepatomegaly | 5 (16.7) | 762/21 528 (3.5) | 5.45 (2.08–14.28) | .001 | ||
| Laboratory features | ||||||
| Malaria slide positive | 0/24 (0) | 251/7771 (3.2) | 1.00 (1.00–1.00) | |||
| HIV positive | 21/23 (91.3) | 2583/9351 (27.6) | 27.51 (6.45–117.42) | <.001 | 20.41 (4.67–89.21) | <.001 |
Abbreviations: CI, confidence interval; HIV, human immunodeficiency virus; NTS, nontyphoidal Salmonella; OR, odds ratio.
Crude and Adjusted Incidence Rates and Case Fatality Rate of Invasive Nontyphoidal Salmonella Disease Across Different Age Groups
| Age | Cases | Deaths | CFR (%) | Cases in | Person-years | Crude Incidence | Adjusted Incidencea | Access-Adjusted |
|---|---|---|---|---|---|---|---|---|
| 0–4 | 321 | 71 | 22 | 186 | 726 881 | 25.6 (22.0–29.5) | 32.6 (28.1–37.7) | 36.4 (35.6–37.1) |
| 5–14 | 36 | 3 | 8.3 | 22 | 1 174 129 | 1.9 (1.17–2.84) | 2.4 (1.49–3.62) | … |
| ≥15 | 30 | 11 | 37 | 11 | 1 056 038 | 1.0 (.52–1.86) | 1.7 (.87–3.11) | … |
Incidence rates are given per 100 000 person-years.
Abbreviations: CFR, case fatality rate; CI, confidence interval; KHDSS, Kilifi Health and Demographic Surveillance System.
a Adjustment based on missed blood cultures and contamination rate per age group.
Figure 2.A, Crude incidence (and 95% confidence intervals [CIs]) of nontyphoidal (NTS) bacteremia among children (<15 years) across the study period. B, Crude age-incidence curve (and 95% CIs) of NTS bacteremia among children.

Figure 2 continued. C, Map of the Kilifi Health and Demographic Surveillance System showing geographical distribution of the access-adjusted rates of NTS bacteremia among children aged <5 years. Abbreviation: PYO, person-years of observation.
Figure 3.The relationship between multidrug resistance (MDR) and the number of nontyphoidal Salmonella (NTS) and Salmonella Typhi (A) or the number of NTS isolates per serotype (B) among children, August 1998–2014.