| Literature DB >> 34910183 |
Jeanette Dawa1,2, Edwin Walong2, Clayton Onyango3, John Mathaiya4, Peter Muturi1, Milka Bunei1, Washington Ochieng2, Walter Barake2, Josilene N Seixas5, Lillian Mayieka6, Melvin Ochieng6, Victor Omballa6, Shirley Lidechi6, Elizabeth Hunsperger3, Nancy A Otieno6, Jana M Ritter5, Marc-Alain Widdowson3,7, Maureen H Diaz8, Jonas M Winchell8, Roosecelis B Martines5, Sherif R Zaki5, Sandra S Chaves9.
Abstract
BACKGROUND: We used postmortem minimally invasive tissue sampling (MITS) to assess the effect of time since death on molecular detection of pathogens among respiratory illness-associated deaths.Entities:
Keywords: MITS; minimally invasive tissue sampling; molecular diagnosis; pediatric respiratory death; postmortem interval
Mesh:
Year: 2021 PMID: 34910183 PMCID: PMC8672767 DOI: 10.1093/cid/ciab810
Source DB: PubMed Journal: Clin Infect Dis ISSN: 1058-4838 Impact factor: 9.079
Characteristics of Children Enrolled in Postmortem Study Conducted Following Respiratory Illness–Associated Death
| Characteristic | Value |
|---|---|
| Median age (range), months | 8 (1–53) |
| Gender, n (%) | |
| Male | 15 (75) |
| Female | 5 (25) |
| Median weight (range), kg | 6.6 (3.6–10.1) |
| Weight categories, | |
| Normal weight | 10 (50) |
| Underweight | 5 (25) |
| Severely underweight | 5 (25) |
| Median duration from admission to death (range), days | 1 (0–67) |
| Comorbidities, n (%) | |
| None documented | 12 (67) |
| Protein energy malnutrition | 3 (17) |
| Chronic respiratory disease (eg, pulmonary arterial hypertension | 3 (17) |
| Chronic neurological or neuromuscular disorders (eg, convulsive disorder, cerebral palsy) | 2 (11) |
| Newly diagnosed tuberculosis | 1 (6) |
| Congenital heart disease (in this case mesocardia) | 1 (6) |
| Rickets | 1 (6) |
| Clinical diagnoses at time of death, | |
| Pneumonia/bronchopneumonia | 14 (78) |
| Meningitis/encephalitis | 5 (28) |
| Gastroenteritis/diarrhea | 4 (22) |
| Sepsis | 3 (17) |
| Malnutrition | 3 (17) |
| Shock | 3 (17) |
| Dehydration | 2 (11) |
| Bronchitis | 2 (11) |
| Congenital heart disease | 2 (11) |
| Acute respiratory distress syndrome | 1 (6) |
| Tuberculosis | 1 (6) |
| Anemia | 1 (6) |
| Acute kidney injury | 1 (6) |
| Metabolic acidosis | 1 (6) |
| Laryngotracheobronchitis | 1 (6) |
| Cerebral palsy | 1 (6) |
| Down’s syndrome | 1 (6) |
| Severe pulmonary artery hypertension | 1 (6) |
a Weight-for-age categories based on the local growth monitoring chart provided by the Ministry of Health, Kenya.
b A description of the specific chronic respiratory disease was not available for 2 of 3 children.
c Multiple responses permitted, and total denominator reflected 18 children whose medical records were accessible to the study staff.
Figure 1.Box plot of refrigerator and rectal temperatures at each batch of sample collection for 20 children.
Figure 2.Frequency of pathogens detected. (I) Nineteen pathogens detected in lung specimens from 20 children. (II) Seven pathogens detected in liver specimens from 5 children. (III) Six pathogens detected in femoral blood specimens (A), cardiac blood specimens (B), and subclavian blood specimens (C) from 5 children.
Figure 3.Schematic showing frequency of pathogen detection for each child across all batches of lung specimens tested. Orange cells indicate TaqMan array card (TAC)–positive specimens. White cells indicate TAC-negative specimens. Black cells indicate specimens from patient P14 (batches 9 and 10) that were not tested.