| Literature DB >> 34943291 |
Naanlep Matthew Tanko1,2, Ibrayimov Bakytkaly2, Alpamys Issanov1, Dimitri Poddighe3,4, Milan Terzic3,5,6.
Abstract
Complete diagnostic autopsy (CDA) remains the gold standard and a valuable technique for determining cause of death. It is a source of health statistics that can be used to measure health care services' quality, unraveling important information on disease processes, particularly in emerging and unknown diseases. It can also be a vital tool for medical education and biomedical research. However, autopsy rates have been declining globally. There is an urgent need to develop and validate alternative methods in different settings to provide reliable information on cause of death. In this study, we aimed to determine cause of death (KazCoDe) in neonates and infants using minimally invasive tissue sampling (MITS), and to compare these results with those of CDA. We conducted MITS and CDA sequentially on 24 deceased children at the Pathological Bureau of the Akimat of the city of Nur-Sultan. Clinical data of the study subjects were extracted from their clinical records. During both procedures, brain, liver and lung tissues were collected for pathological diagnosis. Fifteen (62.5%) and nine (37.5%) were stillbirths and neonates, respectively. Eight (33.3%) were females and 16 (66.7%) were males. MITS diagnosis of cause of death was concordant with CDA diagnosis in 83.3% out of the 24 cases when considering the immediate and underlying causes of death and reviewing all the clinical and laboratory test results as part of the diagnostic evaluation to arrive at a cause of death (ICD-PM). We concluded that MITS is a valuable and reliable method for cause of death diagnosis in stillbirths and neonates, which can contribute vital mortality statistics in children in the absence of CDA.Entities:
Keywords: MITS; cause of death; neonates; stillbirths
Year: 2021 PMID: 34943291 PMCID: PMC8700338 DOI: 10.3390/children8121095
Source DB: PubMed Journal: Children (Basel) ISSN: 2227-9067
Baseline characteristics of the study deceased patients.
| Variable | All, n = 24 |
|---|---|
| Mother’s characteristics | |
| Mother’s age, mean ± SD | 30 ± 5.9 |
| Gravidity, n (%) | |
| None | 4 (16.7) |
| One or more | 20 (83.3) |
| Parity, n (%) | |
| None | 7 (29.2) |
| One or more | 17 (70.8) |
| Deceased patient’s characteristics | |
| Stillbirth, n (%) | |
| Yes | 15 (62.5) |
| No | 9 (37.5) |
| Sex, n (%) | |
| Female | 8 (33.3) |
| Male | 16 (66.7) |
| Weight (kg) | |
| mean ± SD | 2244 ± 1420 |
| median (IQR) | 2201 (1250–3027) |
| Length (cm), mean ± SD | |
| mean ± SD | 46.2 ± 11.9 |
| median (IQR) | 48.5 (38.3–53) |
| * Gestational weeks, mean ± SD | 31.8 ± 5.5 |
| * Age (days), median (IQR) | 20 (13–34) |
| Time between death and autopsy (hours) | |
| mean ± SD | 29.2 ± 25.3 |
| median (IQR) | 23.4 (10.7–39.5) |
* Gestational weeks for stillbirths, while child’s age in days for neonates.
Causes of deaths among all, stillbirths and neonates determined by complete diagnostic autopsy.
| Cause of Death in Complete Diagnostic Autopsy, ICD-10 Code | All, n = 24 | Stillbirths, n = 15 | Neonates, n = 9 |
|---|---|---|---|
|
| 13 (54.2) | 13 (86.7) | 0 (0) |
| P20.0 Intrauterine hypoxia first noted before onset of labor | 11 (45.8) | 11 (73.3) | 0 (0) |
| P20.1 Intrauterine hypoxia first noted during labor and delivery | 2 (8.3) | 2 (13.3) | 0 (0) |
| P28.0 Primary atelectasis of newborn n (%) | 1 (4.2) | 0 (0) | 1 (11.1) |
| P36.8 Other bacterial sepsis of newborn, n (%) | 3 (12.5) | 0 (0) | 3 (33.3) |
| E72.2 Disorders of urea cycle metabolism, n (%) | 1 (4.2) | 0 (0) | 1 (11.1) |
| J16.8 Pneumonia due to other specified infectious organisms n (%) | 1 (4.2) | 0 (0) | 1 (11.1) |
|
| 5 (20.8) | 2 (13.3) | 3 (33.3) |
| Q89.7 Multiple congenital malformations, not elsewhere classified | 4 (16.7) | 2 (13.3) | 2 (22.2) |
| Q91.0 Trisomy 18, meiotic nondisjunction | 1 (4.2) | 0 (0) | 1 (11.1) |
Concordance rates of causes of deaths between complete diagnostic autopsy and MITS among all, stillbirths and neonates, employing underlining causes.
| Cause of Death in Complete Diagnostic Autopsy, ICD-10 Code | MITS Concordance | ||
|---|---|---|---|
| All, n = 24 | Stillbirths, n = 15 | Neonates, n = 9 | |
|
| 100 (1.0) * | 100 (1.0) * | - |
| P20.0 Intrauterine hypoxia first noted before onset of labor, % | 100 | 100 | - |
| P20.1 Intrauterine hypoxia first noted during labor and delivery, % | 100 | 100 | - |
| P28.0 Primary atelectasis of newborn | 100 | 100 | |
| P36.8 Other bacterial sepsis of newborn, % | 33.3 | - | 33.3 |
| E72.2 Disorders of urea cycle metabolism, % | 0 | - | 0 |
| J16.8 Pneumonia due to other specified infectious organisms | 100 | 100 | |
|
| 80 (0.86) * | 50 (0.63) * | 100 (1.0) * |
| Q89.7 Multiple congenital malformations, not elsewhere classified, % | 75 | 50 | 100 |
| Q91.0 Trisomy 18, meiotic nondisjunction | 100 | - | 100 |
|
| 83.3 | 93.3 | 66.7 |
* McNemar’s test statistic is non-significant and Cohen’s kappa test statistic is statistically significant.
Concordance rates of causes of deaths between complete diagnostic autopsy and Minimally Invasive Tissue Sampling (MITS) based on histological investigations among all, stillbirths and neonates.
| Cause of Death in Complete Diagnostic Autopsy, ICD-10 Code | MITS Concordance | ||
|---|---|---|---|
| All, n = 24 | Stillbirths, n = 15 | Neonates, n = 9 | |
|
| 100 (1.0) * | 100 (1.0) * | - |
| P20.0 Intrauterine hypoxia first noted before onset of labor, % | 100 | 100 | - |
| P20.1 Intrauterine hypoxia first noted during labor and delivery, % | 100 | 100 | - |
| P28.0 Primary atelectasis of newborn | 0 | - | 0 |
| P36.8 Other bacterial sepsis of newborn, % | 33.3 | - | 33.3 |
| E72.2 Disorders of urea cycle metabolism, % | 0 | - | 0 |
| J16.8 Pneumonia due to other specified infectious organisms | 100 | - | 100 |
|
| 0 (0) # | 0 (0) # | 0 (0) # |
| Q89.7 Multiple congenital malformations, not elsewhere classified, % | 0 | 0 | 0 |
| Q91.0 Trisomy 18, meiotic nondisjunction | 0 | - | 0 |
|
| 62.5 | 86.7 | 22.2 |
* McNemar’s test statistic is non-significant and Cohen’s kappa test statistic is statistically significant. # McNemar’s test statistic is statistically significant and Cohen’s kappa test statistic is non-significant.
Figure 1Microscopic sections of brain tissue obtained during the MITS procedure (H & E *). * Hematoxylin and eosin stain.
Figure 2Microscopic sections of lung tissues obtained during the MITS procedure (H & E).
Figure 3Microscopic sections of liver tissues obtained during the MITS procedure (H & E).