| Literature DB >> 30995230 |
John Njuma Libwea1,2, Sandrine Rachel Bebey Kingue3,4, Nadesh Taku Ashukem3,5, Marie Kobela2,6, Angeline Boula3, Koulla-Shiro Sinata5,7, Paul Koki Ndombo3,6.
Abstract
BACKGROUND: Vital registration data outlining causes of deaths (CoD) are important for a sustainable health system, targeted interventions and other relevant policies. There is data paucity on vital registration systems in developing countries. We assessed the leading causes and proportions of under-five deaths, and particularly those related to pneumococcal infections in Yaoundé, Cameroon, using hospital registration data.Entities:
Mesh:
Year: 2019 PMID: 30995230 PMCID: PMC6469747 DOI: 10.1371/journal.pone.0212939
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Flow chart on data identification and collection processes.
N.B: For the sample size estimation, we assumed that, 18% of study population (630000) were children under-five years old; a = 0.05; power = 80%, and proportion of death cases with missing data on cause-specific death = 10%. Using the computer-based Creative Research Systems Survey software (http://www.surveysystem.com), we assumed a desired confidence level of 95% and a confidence interval of 4% units on each side; the estimated sample size for this study is 600 deaths. Therefore, a minimum of 660 cases of death in children aged 29days to 59 months was targeted as the sample size in this study. DH = District Hospital; ICD-10-CM = the International Classification of Diseases and Clinical Modifications 10th revision.
Fig 2Cumulative proportion of age at death by gender among children under-five years registered at the Infectious Diseases Surveillance Sites in Yaoundé, Cameroon: 2006–2012.
Distribution of the main CoD in children 1–59 months old in Yaoundé, 2006–2012 (N = 817).
| CoD | Age groups | |||||
|---|---|---|---|---|---|---|
| 1–11 | 12–23 | 24–35 | 36–47 | 46–49 | All | |
| (N = 368) | (N = 187) | (N = 104) | (N = 55) | (N = 103) | (N = 817) | |
| % | % | % | % | % | % (95%CI) | |
| Malaria | 11.7 | 22.5 | 21.2 | 32.7 | 17.5 | 17.5 (15.0–20.3) |
| Meningitis | 11.7 | 10.2 | 16.3 | 5.5 | 7.8 | 11.0 (09.0–13.4) |
| Sepsis | 13.0 | 11.2 | 6.7 | 0.0 | 5.8 | 10.0 (08.1–12.3) |
| Pneumonia | 9.8 | 7.0 | 8.7 | 3.6 | 3.9 | 8.3 (06.5–10.4) |
| Malnutrition | 7.6 | 12.8 | 7.7 | 0.0 | 3.9 | 8.3 (06.5–10.4) |
| Diarrhoea/gastro-enteritis | 8.7 | 5.3 | 4.8 | 1.8 | 2.9 | 6.2 (04.7–08.1) |
| Others | 37.5 | 31.0 | 34.6 | 56.4 | 58.3 | 38.6 (35.2–42.0) |
CoD = Causes of death; N = number; % = percentage; CI = Confidence Interval
List of ICD-10-CM codes collected for this study and percent of diagnostic CoD in children 1–59 months old in Yaoundé, 2006–2012.
| No. | ICD-10-CM | Clinical diagnosis | % |
|---|---|---|---|
| B54 | Unspecified malaria | 17.5 | |
| G00.1 | Pneumococcal meningitis | 11.0 | |
| A41.9 / B96.29 | Sepsis | 10.0 | |
| B95.3 / J13 | 8.3 | ||
| C83.7 | Malignancy / Tumours/ Generalized lymph nodes | 8.2 | |
| E46 | Unspecified protein-calorie malnutrition | 8.3 | |
| K52.1/K52.89/R19.7 | Gastro-enteritis / Diarrhoea | 6.2 | |
| D61.2 | Aplastic anaemia due to other external agents | 6.1 | |
| P96.89 | Other specified conditions originating in the perinatal period | 4.4 | |
| B20 | Human immunodeficiency virus (HIV) disease | 3.5 | |
| A15.5 | Tuberculosis of larynx, trachea and bronchus | 2.3 | |
| I25.5 | Ischemic heart diseases | 2.3 | |
| D57.1 | Sickle-cell disease without crisis | 1.1 | |
| T14.90 | Injury | 0.2 | |
| R99/A35/B05.9/K75.9 | Ill-defined and unknown cause of mortality and others | 10.0 |
*ICD codes specific for diseases and compatible with clinical diagnosis as primary cause of death used in the study;
No. = Serial number based on leading cause of death; S = Streptococcus; % = percent
Fig 3Frequent causes of deaths in our study with comparative percentages for the Sub-Saharan Africa region.
Distribution of pneumococcal disease associated deaths by study case definition in children 1–59 months old in Yaoundé, between January 2006 to December 2012 (N = 158).
| Diagnostic algorithm | YES | NO | UNKNOWN/ MISSING | |||
|---|---|---|---|---|---|---|
| n | % | n | % | n | % | |
| Cough | 89 | 56.3 | 16 | 10.1 | 53 | 33.5 |
| Respiratory rate ≥ 40/minutes | 119 | 75.3 | 12 | 7.6 | 27 | 17.1 |
| Temperature ˃ 38°C | 114 | 72.2 | 24 | 15.2 | 20 | 12.7 |
| Refusing to feed | 62 | 39.2 | 25 | 15.8 | 71 | 44.9 |
| Vomiting /lower chest in-drawing | 57 | 36.1 | 6 | 3.8 | 95 | 60.1 |
| Culture positive IPD | 27 | 17.1 | 4 | 2.5 | 127 | 80.4 |
| Culture negative PCR | 116 | 73.4 | 10 | 6.3 | 32 | 20.3 |
| X-ray CAP | 2 | 1.3 | 1 | 1.6 | 155 | 98.1 |
| X-ray CAP without endpoint consolidation | 0 | 0 | 0 | 0 | 0 | 0 |
*Invasive pneumococcal disease;
♠ = polymerase chain reaction;
♣ = Community acquired pneumonia; N (n) = number; % = percentage.
Endpoint consolidation refers to the presence of alveolar or pleural effusion on chest X-ray