Key Points
Question
Are premortem neurological symptoms associated with postmortem-confirmed cause of death among children aged younger than 5 years in low- and middle-income countries (LMICs)?
Findings
In this cross-sectional study of 1330 deceased children, premortem neurological symptoms were present in more than half of the cohort, with overlap among common underlying etiologies (hypoxic events, meningoencephalitis, and cerebral malaria). Lumbar punctures were infrequently done premortem.
Meaning
These findings suggest that neurological symptom management among severely ill children in LMICs was mainly based on clinical evaluation, which is insufficient to differentiate the most common underlying etiologies.
This cross-sectional study examines the association of premortem acute neurological symptoms and their management with cause of death among children aged younger than 5 years in low- to middle-income countries (LMICs).
Abstract
Importance
The emergence of acute neurological symptoms in children necessitates immediate intervention. Although low- and middle-income countries (LMICs) bear the highest burden of neurological diseases, there is a scarcity of diagnostic and therapeutic resources. Therefore, current understanding of the etiology of neurological emergencies in LMICs relies mainly on clinical diagnoses and verbal autopsies.
Objective
To characterize the association of premortem neurological symptoms and their management with postmortem-confirmed cause of death among children aged younger than 5 years in LMICs and to identify current gaps and improve strategies to enhance child survival.
Design, Setting, and Participants
This cross-sectional study was conducted between December 3, 2016, and July 22, 2022, at the 7 participating sites in the Child Health and Mortality Prevention Surveillance (CHAMPS) network (Bangladesh, Ethiopia, Kenya, Mali, Mozambique, Sierra Leone, and South Africa). Minimally invasive tissue sampling was performed at the CHAMPS sites with specimens from deceased children aged younger than 5 years. This study included deceased children who underwent a premortem neurological evaluation and had a postmortem-confirmed cause of death. Data analysis was performed between July 22, 2022, and January 15, 2023.
Main Outcomes and Measures
Descriptive analysis was performed using neurological evaluations from premortem clinical records and from postmortem determination of cause of death (based on histopathology, microbiological testing, clinical records, and verbal autopsies).
Results
Of the 2127 deaths of children codified during the study period, 1330 (62.5%) had neurological evaluations recorded and were included in this analysis. The 1330 children had a median age of 11 (IQR, 2-324) days; 745 (56.0%) were male and 727 (54.7%) presented with neurological symptoms during illness before death. The most common postmortem-confirmed neurological diagnoses related to death were hypoxic events (308 [23.2%]), meningoencephalitis (135 [10.2%]), and cerebral malaria (68 [5.1%]). There were 12 neonates with overlapping hypoxic events and meningoencephalitis, but there were no patients with overlapping meningoencephalitis and cerebral malaria. Neurological symptoms were similar among diagnoses, and no combination of symptoms was accurate in differentiating them without complementary tools. However, only 25 children (18.5%) with meningitis had a lumbar puncture performed before death. Nearly 90% of deaths (442 of 511 [86.5%]) with neurological diagnoses in the chain of events leading to death were considered preventable.
Conclusions and Relevance
In this cross-sectional study of children aged younger than 5 years, neurological symptoms were frequent before death. However, clinical phenotypes were insufficient to differentiate the most common underlying neurological diagnoses. The low rate of lumbar punctures performed was especially worrying, suggesting a challenge in quality of care of children presenting with neurological symptoms. Improved diagnostic management of neurological emergencies is necessary to ultimately reduce mortality in this vulnerable population.
Introduction
Neurological symptoms of diseases occurring in childhood are considered medical emergencies warranting immediate intervention.1 Appropriate management is highly dependent on using the right diagnostic tools. Neurological symptoms in children are varied and not always etiology specific, rendering exclusive reliance on clinical evaluation insufficient for diagnosis. Therefore, tools such as radiographic imaging and laboratory testing, particularly cerebrospinal fluid (CSF) analysis obtained through lumbar puncture (LP), are indispensable for a correct differential diagnosis.2
Acute neurological symptoms, such as seizures, occur more frequently in resource-limited settings, possibly due to the higher burden of associated etiologies (eg, HIV opportunistic infections, malaria, malnutrition, and tuberculosis), poor health-seeking behavior, and restricted access to health services.3,4,5 Low- and middle-income countries (LMICs) bear the highest burden of neurological diseases in general6 and neurotropic infections in particular, which are the most common cause of neurological emergencies in children.7 However, LMICs face a substantial shortage of diagnostic and therapeutic resources to effectively manage these conditions.8 Lumbar puncture and CSF analysis, which constitute the standard of care for diagnosing meningitis and differentiating it from other neurological emergencies, are rarely performed in most areas in LMICs.9,10,11 The absence of diagnostic testing contributes to suboptimal management of acute neurological syndromes and to underestimation of the true incidence of meningitis. Increasing the number of LPs performed is one objective of the World Health Organization (WHO) 2030 global road map to eradicate meningitis and decrease mortality.9 Undoubtedly, underdiagnosis and misdiagnosis often lead to inadequate treatment and preventable adverse outcomes, including death.
Despite a notable reduction in neonatal and child mortality over the past 3 decades, diseases leading to neurological symptoms continue to be a substantial cause of death, particularly in LMICs, with sub-Saharan Africa and Asia being heavily affected. Neonatal mortality accounts for nearly half of all deaths among children aged younger than 5 years, with perinatal factors such as birth asphyxia, sepsis, and meningitis being primary causes.9,12 Malaria and meningitis remain among the top 5 causes of death among infants and children.9,12,13,14,15,16,17,18
In this study, we investigated associations among clinical phenotypes, premortem management decisions, and confirmed cause of death for deceased children aged younger than 5 years enrolled in the Child Health and Mortality Prevention Surveillance (CHAMPS) network who exhibited neurological impairment before death. Our objectives were to understand the incidence of neurological emergencies and their management in severely ill children before death and to detect gaps and propose measures to enhance survival rates.
Methods
Ethics committees overseeing investigators at each site and the Emory University Institutional Review Board approved overall and site-specific protocols for this cross-sectional study. Written informed consent was obtained from caregivers. This study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.
Demographic Surveillance System
We analyzed data from all 7 participating study sites in the CHAMPS network19 in Bangladesh, Ethiopia, Kenya, Mali, Mozambique, Sierra Leone, and South Africa. The study was conducted between December 3, 2016, and July 22, 2022, and aimed to describe the clinical presentation of children before death and provide cause of death information among deceased neonates (aged 0-27 days), postneonatal infants (aged 28 days to <12 months), and children (aged 12-59 months).
Specimen and Data Collection
The CHAMPS inclusion criteria for enrollment for minimally invasive tissue sampling were described previously.19 A standardized protocol20 was followed by all sites. Clinical data were collected using a standardized instrument in RedCap, which included specific closed-response fields as well as space for including an open clinical narrative. Premortem management was performed according to each site’s standards, clinical guidelines, and laboratory capacities (CSF testing capacities are shown in eTable 1 in Supplement 1).
The CHAMPS technicians used a standardized approach21 to conduct postmortem minimally invasive tissue sampling using needle biopsies from the brain, lungs, heart, and liver. Additionally, blood and CSF as well as nasopharyngeal and rectal swabs were collected. Macroscopic photographs were captured, and anthropometric measurements were recorded. Local and US Centers for Disease Control and Prevention pathologists thoroughly examined the tissue specimens using routine histopathology techniques, specific stains, and immunohistochemistry. To screen for infectious pathogens, lung tissue, blood, and CSF as well as nasopharyngeal and rectal swabs underwent systematic screening using multiplex TaqMan Array Card (Thermo Fisher Scientific) molecular methods, enabling detection of up to 116 organisms.
Blood and CSF samples were cultured at local laboratories. Specific screening tests were conducted (eg, sickle cell status screening), and polymerase chain reaction assays, antigen testing, and GeneXpert (Cepheid) testing were used to detect HIV, malaria, and tuberculosis, respectively. Verbal autopsies were conducted by locally trained interviewers who engaged with caregivers.19,21,22,23,24
Cause of Death Determination
Once all available data and results for each child were compiled, a multidisciplinary panel of specialists (Determination of Cause of Death [DeCoDe] panel) consisting of clinicians (pediatricians and obstetricians), microbiologists, pathologists, and public health specialists reviewed each case. The DeCoDe panelists established a plausible chain of events leading to the child’s death, coding each step according to the International Classification of Diseases, Tenth Revision (ICD-10) system in line with WHO recommendations,25 considering the underlying, morbid, and immediate causes. If the DeCoDe panelists determined a death to be preventable, a list of measures that could have potentially averted the death was recorded (eTable 2 in Supplement 1). The findings and preventive measures were communicated to the families and communities by a local team for future implementation.
Statistical Analysis
To be included in this analysis, individuals were required to have available clinical records and a documented neurological evaluation before death. We analyzed all data collected and abstracted specific neurological information obtained through either the standardized clinical questionnaire or the clinical narrative. In our study, neurological symptoms encompassed several signs or symptoms, including seizures at presentation (observed by clinicians or reported by caregivers), seizures witnessed during hospitalization, loss of consciousness, altered mental status (characterized by lethargy, confusion, agitation, and listlessness), Blantyre coma score of 4 or lower, focal neurological presentation, nuchal rigidity, positive Brudzinski sign, positive Kernig sign, and bulging fontanelle (with the latter 4 grouped as meningeal signs). Additionally, fever was considered a concomitant sign. We also examined clinical records for available information on premortem testing (including performance of LP and malaria testing) as well as prescription of antibiotics or antimalarial treatment. All ICD-10 postmortem diagnoses within the chain of events leading to death were included, and we defined the following groups of diagnoses with potential neurological involvement: perinatal asphyxia, neonatal encephalopathy, meningitis, encephalitis, cerebral malaria, epilepsy, poisoning, and other neurological diagnoses (eTable 3 in Supplement 1).
In this analysis, we evaluated the presence of signs and symptoms stratified by age group and site, and we described the most common overlapping clinical presentations. We evaluated associations between the occurrence of any neurological symptom and the following: age, sex assigned at birth, nutritional status, HIV status, and administration of traditional medicine before death. Additionally, we examined the association between the most prevalent clinical phenotypes in each age group and the most common neurological ICD-10 diagnoses at any point in the chain of events leading to death. We also explored the association between performance of LP and its result, as well as premortem malaria testing. Data summaries included medians, counts, and percentages, and significant differences among groups were assessed using appropriate χ2 tests. P < .05 (2-tailed) was considered statistically significant. Euler diagrams were designed using R, version 2021.09.2 build 382 (R Project for Statistical Computing), employing an elliptic representation to minimize standard errors in the visual representations. Figures were edited using Illustrator, version 25.4.8 (Adobe). All analyses were conducted in Excel, version 16.54 (Microsoft Corp) and RStudio, version 4.2.3 (R Project for Statistical Computing). Data analysis was performed between July 22, 2022, and January 15, 2023.
Results
Demographics and Clinical Presentation
Of the 2127 deaths of patients aged younger than 5 years codified during the study period, 1330 had data meeting the inclusion criteria (as of July 25, 2022) and were included in this analysis (eFigure in Supplement 1). The cohort included 801 neonates (60.2%), 253 infants (19.0%), and 276 children (20.8%). Their median age was 11 (IQR, 2-324) days; 745 (56.0%) were male and 584 (43.9%) were female. More than half of the cohort (727 [54.7%]) presented with at least 1 neurological sign or symptom before death. The occurrence of neurological symptoms was more frequent among children (172 [62.3%]) and infants (155 [61.3%]) than neonates (400 [49.9%]) (P < .001; Table 1). South Africa had the largest number of patients in this analysis (365 [27.4%]), followed by Mozambique (278 [20.9%]), Kenya (231 [17.4%]), Bangladesh (157 [11.8%]), Sierra Leone (154 [11.6%]), Mali (77 [5.8%]), and Ethiopia (68 [5.1%]) (Table 2 and eTable 4 in Supplement 1). Among all patients with neurological impairment, 41 of 727 (5.6%) had HIV and 91 of 727 (12.5%) had received traditional medicine, with no significant differences compared with children without neurological signs.
Table 1. Characteristics of Parients in the CHAMPS Cohort With Neurological Involvement Before Deatha.
Characteristic | Type of neurological involvement | |||||
---|---|---|---|---|---|---|
Any neurological sign or symptomb | Seizures at presentation | Seizures during hospitalization | Loss of consciousness | Altered mental statusc | Meningeal signsd | |
Total | 727/1330 (54.7) | 206/776 (26.5) | 301/893 (33.7) | 170/1024 (16.6) | 472/1030 (45.8) | 30/272 (11.0) |
Age, median (IQR), d | 11 (2-324) | 187 (5-728) | 13 (3-286) | 99 (1-566) | 9 (1-325) | 72 (4-575) |
Age group | ||||||
Neonates | 400/801 (49.9) | 75/476 (15.8) | 174/580 (30.0) | 77/612 (12.6) | 262/605 (43.3) | 12/194 (6.2) |
Infants | 155/253 (61.3) | 50/132 (37.9) | 58/147 (39.5) | 39/190 (20.5) | 99/198 (50.0) | 8/39 (20.5) |
Children | 172/276 (62.3) | 81/168 (48.2) | 69/166 (41.6) | 54/222 (24.3) | 111/227 (48.9) | 10/39 (25.6) |
Sex | ||||||
Female | 319/584 (54.6) | 103/356 (28.9) | 140/402 (34.8) | 68/449 (15.1) | 204/448 (45.5) | 11/109 (10.1) |
Male | 408/745 (54.8) | 103/419 (24.6) | 161/490 (32.9) | 102/574 (17.8) | 268/581 (46.1) | 19/162 (11.7) |
Not determined | 0/1 | 0/1 | 0/1 | 0/1 | 0/1 | 0/1 |
HIV status | ||||||
Positive | 41/71 (57.7) | 8/40 (20.0) | 10/43 (23.3) | 9/63 (14.3) | 33/62 (53.2) | 1/13 (7.7) |
Exposed and uninfected | 141/240 (58.8) | 34/120 (28.3) | 71/172 (41.3) | 30/179 (16.8) | 84/177 (47.4) | 5/53 (9.4) |
Uninfected or unknown | 545/1019 (53.5) | 164/616 (26.6) | 220/678 (32.4) | 131/782 (16.8) | 355/791 (44.9) | 24/206 (11.7) |
Malnourished | 99/162 (61.1) | 22/108 (20.4) | 29/119 (24.3) | 20/143 (14.0) | 77/144 (53.5) | 8/40 (20.0) |
Fever | 188/298 (63.1) | 82/181 (45.3) | 91/186 (48.9) | 65/252 (25.8) | 123/255 (48.2) | 11/56 (19.6) |
Traditional medicine | 91/161 (56.5) | 35/108 (32.4) | 30/106 (28.3) | 30/131 (22.9) | 65/133 (48.9) | 6/25 (24.0) |
Lumbar puncture performed | 76/95 (80.0) | 21/35 (60.0) | 47/67 (70.1) | 13/67 (19.4) | 42/67 (62.9) | 4/16 (25.0) |
Antibiotic treatment | 583/1024 (56.9) | 165/624 (26.4) | 269/709 (37.9) | 137/846 (16.2) | 375/845 (44.4) | 21/225 (9.3) |
Malaria testing | ||||||
Performed | 176/301 (58.5) | 68/207 (32.9) | 79/222 (35.6) | 63/261 (24.1) | 125/264 (47.3) | 14/73 (19.2) |
Positive result | 60/95 (63.2) | 32/56 (57.1) | 31/60 (51.7) | 29/83 (34.9) | 38/84 (45.2) | 3/13 (23.1) |
Antimalarial treatment | 98/155 (63.2) | 50/97 (51.5) | 51/101 (50.5) | 39/126 (31.0) | 53/126 (42.1) | 1/17 (5.9) |
Abbreviation: CHAMPS, Child Health and Mortality Prevention Surveillance.
Unless noted otherwise, data are presented as No./total No. (%) of patients. Data are shown for the top 5 neurological signs observed. A complete case analysis approach was used for each sign.
Includes less frequent symptoms, such as focal neurological deficits, decortication, and decerebration posturing, for which specific data are not represented.
Includes lethargy, confusion, agitation, and listlessness.
Includes any of the following: nuchal rigidity, positive Brudzinski sign, positive Kernig sign, or bulging fontanelle.
Table 2. Patients in the CHAMPS Cohort With Neurological Involvement Before Death or Neurological ICD-10 Diagnoses Included in the Chain of Events Leading to Death, According to DeCoDe Panelsa.
Site | No. of patients | Neurological sign, No. (%) of patients with neurological involvement | ICD-10 diagnosis, No. (%) of patients with neurological involvement | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Any symptom | Seizures at presentation | Seizures during hospitalization | Loss of consciousness | Altered mental status | Meningeal signs | Perinatal asphyxia | Neonatal encephalopathy | Meningo-encephalitis | Cerebral malaria | ||
All sites | |||||||||||
Total | 1330 | 727 (54.7) | 206 (26.5) | 301 (33.7) | 170 (16.6) | 472 (45.8) | 30 (11.0) | 287 (21.6) | 66 (5.0) | 135 (10.2) | 68 (5.1) |
Neonates | 801 | 400 (49.9) | 75 (15.8) | 174 (30.0) | 77 (12.6) | 262 (43.3) | 12 (6.2) | 286 (35.7) | 64 (8.0) | 91 (11.4) | 0 |
Infants | 253 | 155 (61.3) | 50 (37.9) | 58 (39.5) | 39 (20.5) | 99 (50.0) | 8 (20.5) | 1 (0.4) | 2 (0.8) | 29 (11.5) | 11 (4.3) |
Children | 276 | 172 (62.3) | 81 (48.2) | 69 (41.6) | 54 (24.3) | 111 (48.9) | 10 (25.6) | 0 | 0 | 15 (5.4) | 57 (20.7) |
Bangladesh | |||||||||||
Total | 157 | 70 (44.6) | 18 (15.4) | 24 (22.6) | 5 (3.7) | 57 (42.9) | 0 | 94 (59.9) | 15 (9.6) | 3 (1.9) | 0 |
Neonates | 154 | 68 (44.2) | 18 (15.5) | 23 (22.3) | 5 (3.8) | 56 (43.1) | 0 | 94 (61.0) | 15 (9.7) | 3 (1.9) | 0 |
Infants | 2 | 2 (100) | 0 | 1 (50.0) | 0 | 1 (50) | 0 | 0 | 0 | 0 | 0 |
Children | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Ethiopia | |||||||||||
Total | 68 | 30 (44.1) | 2 (3.4) | 2 (4.1) | 7 (11.9) | 27 (47.4) | 2 (5.4) | 18 (26.5) | 2 (2.9) | 28 (41.2) | 0 |
Neonates | 59 | 25 (42.4) | 1 (1.9) | 2 (4.5) | 5 (9.6) | 22 (44.9) | 1 (2.9) | 18 (30.5) | 2 (3.4) | 23 (39.0) | 0 |
Infants | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 (100) | 0 |
Children | 7 | 5 (71.4) | 1 (25.0) | 0 | 2 (40.0) | 5 (83.3) | 1 (33.3) | 0 | 0 | 3 (42.9) | 0 |
Kenya | |||||||||||
Total | 231 | 139 (60.2) | 58 (47.2) | 59 (44.7) | 43 (30.5) | 78 (51) | 5 (11.6) | 19 (8.2) | 2 (0.9) | 4 (1.7) | 35 (15.2) |
Neonates | 80 | 40 (50.0) | 14 (31.8) | 16 (34.0) | 7 (15.9) | 20 (41.7) | 3 (7.0) | 19 (23.8) | 2 (2.5) | 2 (2.5) | 0 |
Infants | 77 | 53 (68.8) | 18 (46.2) | 21 (47.7) | 20 (38.5) | 33 (57.9) | 1 (2.3) | 0 | 0 | 1 (1.3) | 8 (10.4) |
Children | 74 | 46 (62.2) | 26 (65.0) | 22 (53.7) | 16 (35.6) | 25 (52.1) | 1 (2.3) | 0 | 0 | 1 (1.4) | 17 (23.0) |
Mali | |||||||||||
Total | 77 | 41 (53.2) | 10 (16.9) | 9 (14.1) | 12 (19.0) | 33 (53.2) | 4 (16.0) | 11 (14.3) | 6 (7.8) | 6 (7.8) | 1 (1.3) |
Neonates | 49 | 24 (49.0) | 3 (8.1) | 5 (11.4) | 6 (14.6) | 18 (46.2) | 1 (4.0) | 11 (22.4) | 6 (12.2) | 2 (4.1) | 0 |
Infants | 16 | 10 (62.5) | 4 (26.7) | 1 (9.1) | 4 (30.8) | 8 (61.5) | 2 (8.0) | 0 | 0 | 2 (12.5) | 0 |
Children | 12 | 7 (58.3) | 3 (42.9) | 3 (33.3) | 2 (22.2) | 7 (70.0) | 1 (4.0) | 0 | 0 | 2 (16.7) | 1 (8.3) |
Mozambique | |||||||||||
Total | 278 | 164 (59.0) | 40 (16.9) | 49 (20.9) | 58 (23.9) | 134 (55.6) | 12 (13.3) | 64 (23.0) | 7 (2.5) | 5 (1.8) | 15 (5.4) |
Neonates | 170 | 92 (54.1) | 16 (11.4) | 26 (17.8) | 35 (24.5) | 79 (55.6) | 3 (3.3) | 64 (37.6) | 7 (4.1) | 3 (1.8) | 0 |
Infants | 37 | 23 (62.2) | 5 (16.1) | 5 (17.9) | 4 (12.5) | 19 (57.6) | 2 (2.2) | 0 | 0 | 1 (2.7) | 1 (2.7) |
Children | 71 | 49 (69.0) | 19 (29.2) | 18 (30.0) | 19 (27.9) | 36 (54.5) | 7 (7.8) | 0 | 0 | 1 (1.4) | 14 (19.7) |
Sierra Leone | |||||||||||
Total | 154 | 74 (48.1) | 39 (43.3) | 38 (42.7) | 23 (18.0) | 34 (27.0) | 2 (40.0) | 30 (19.5) | 1 (0.6) | 13 (8.4) | 27 (17.5) |
Neonates | 52 | 22 (42.3) | 8 (21.6) | 16 (41.0) | 3 (7.9) | 7 (19.4) | 1 (20.0) | 30 (57.7) | 1 (1.9) | 8 (15.4) | 0 |
Infants | 36 | 16 (44.4) | 9 (50.0) | 7 (36.8) | 8 (25.0) | 10 (31.2) | 1 (20.0) | 0 | 0 | 4 (11.1) | 2 (5.6) |
Children | 66 | 36 (54.5) | 22 (62.9) | 15 (48.4) | 12 (20.7) | 17 (29.3) | 0 | 0 | 0 | 1 (1.5) | 25 (37.9) |
South Africa | |||||||||||
Total | 365 | 209 (57.3) | 39 (41.9) | 120 (54.8) | 22 (8.6) | 109 (42.2) | 5 (8.2) | 51 (14.0) | 33 (9.0) | 76 (20.8) | 0 |
Neonates | 237 | 129 (54.4) | 15 (30.0) | 86 (54.8) | 16 (9.9) | 60 (37.3) | 3 (4.9) | 49 (20.7) | 31 (13.1) | 48 (20.3) | 0 |
Infants | 83 | 51 (61.4) | 14 (51.9) | 23 (56.1) | 3 (5.2) | 28 (47.5) | 2 (3.3) | 2 (2.4) | 2 (2.4) | 21 (25.3) | 0 |
Children | 45 | 29 (64.4) | 10 (62.5) | 11 (52.4) | 3 (8.3) | 21 (55.3) | 0 | 0 | 0 | 7 (15.6) | 0 |
Abbreviations: CHAMPS, Child Health and Mortality Prevention Surveillance; DeCoDe, Determination of Cause of Death; ICD-10, International Classification of Diseases, Tenth Revision.
A complete case analysis approach was used for each sign and diagnosis.
Altered mental status was reported in 472 of 1030 patients (45.8%). Seizures were present in 206 of 776 patients (26.5%) at presentation and 301 of 893 (33.7%) at hospitalization. Loss of consciousness was present in 170 of 1024 patients (16.6%), with those aged 12 to 59 months (54 of 222 [24.3%]) experiencing it twice as often as neonates (77 [12.6%]) (P < .001). Meningeal signs were recorded infrequently in the neurological evaluation (positive for 30 of 272 children [11.0%]).
Causes of Death and Premortem Management
Neurological signs exhibited overlapping patterns across all age groups (Figure 1). We assessed the accuracy of previously described case definitions for suspected meningitis, cerebral malaria, and neonatal hypoxia26,27,28 (eTable 5 in Supplement 1) as well as the combinations of different signs and symptoms associated with them (eTable 6 in Supplement 1).
The presence of neurological signs was more frequent among participants with reported fever (188 of 298 [63.1%]; P < .001). Having neurological symptoms was associated with the decision to perform an LP (76 of 95 [80.0%]; P < .001), to prescribe antibiotics (583 of 1024 [56.9%]; P = .003), and to prescribe antimalarial treatment (98 of 155 [63.2%]; P = .03). Overall, LPs were performed before death in 95 of 1330 patients (7.1%), in 77 of 727 (10.6%) with recorded neurological symptoms before death, and in 25 of 135 (18.5%) with postmortem-confirmed meningitis. The capacity to analyze CSF varied across sites (eTable 1 in Supplement 1). Most LPs (83 of 95 [87.4%]) were done in South Africa, with the remainder in Kenya (5 [5.3%]), Mozambique (4 [4.2%]), and Mali (3 [3.2%]). Among neonates and infants, LPs were primarily performed in patients presenting with seizures, altered mental state, or both; in older children, the distribution of signs was more diverse (Figure 1). A total of 423 neonates met criteria for an LP and 89 had postmortem-confirmed meningitis, but only 34 LPs were conducted. The necessary number of tests to detect 1 case of meningitis in neonates was 7.98. Among infants and children, 321 met criteria for an LP, while only 43 LPs were performed; the necessary number of tests was 8.92. Results from these premortem LPs were available for 49 patients; of these, 6 confirmed acute bacterial meningitis, which was also confirmed in postmortem investigation (eTable 7 in Supplement 1).
In the postmortem ICD-10 diagnoses determined by the expert panel (eTables 8 and 9 in Supplement 1), more than one-third of children (520 of 1330 [39.1%]) had at least 1 diagnosis affecting the central nervous system. A total of 184 of 520 children (35.4%) did not have documented neurological signs or symptoms. Among the 801 neonates, the most common neurological diagnoses were hypoxic events, including perinatal asphyxia and neonatal encephalopaty (308 [38.5%]), and meningoencephalitis (91 [11.4%]). Among the 253 infants, cerebral malaria was present in 11 (4.3%) and meningoencephalitis was present in 29 (11.5%). Among the 276 children, cerebral malaria was confirmed in 57 (20.7%) and meningoencephalitis was confirmed in 15 (5.4%). There were 12 neonates with overlapping hypoxic events and meningoencephalitis, but there were no patients with overlapping cerebral malaria and meningoencephalitis (Figure 2). Diagnoses of neonatal encephalopathy, meningoencephalitis, and cerebral malaria were associated with the presence of neurological signs and symptoms (eTable 10 in Supplement 1). Patients with noncerebral malaria and cerebral malaria presented with similar neurological symptoms; a high number of seizures was reported in patients with malaria (60 [50.8%]), including 24 (48.0%) with noncerebral malaria and 36 (52.9%) with cerebral malaria (P = .73; eTable 11 in Supplement 1). Loss of consciousness was the only symptom that was significantly higher among those with postmortem-confirmed cerebral malaria (eTable 11 in Supplement 1).
Overall, 1 in 5 deaths among children aged 12 to 59 months were attributed to cerebral malaria. Sierra Leone had the highest proportion (25 of 66 [37.9%]), followed by Kenya (17 of 74 [23.0%]), Mozambique (14 of 71 [19.7%]), and Mali (1 of 12 [8.3%]), with the remaining sites reporting no patients with cerebral malaria (Table 2). Malaria testing was performed in 285 patients, and it guided the use of antimalarial treatment. Antibiotics were similarly prescribed in those with both positive and negative malaria test results (eTable 12 in Supplement 1).
Preventability of Deaths After Neurological Symptoms
The DeCoDe panelists assessed the preventability of deaths on a case-by-case basis. They assessed measures that could have changed the chain of events leading to death, starting with health education, followed by health-seeking behavior and access to health care, the clinical management at presentation, and the quality of care during hospitalization until death (eTable 2 in Supplement 1).
Among the 308 neonates with hypoxic events (present in 22.8% of all deaths in the cohort), 243 (80.2%) were delivered in a health post or hospital; 90 (29.7%) were delivered via cesarian section. The DeCoDe panelists considered 257 (83.4%) of these hypoxia-related deaths as preventable, with the primary prevention measure being the improvement of antenatal and obstetric care (eg, to detect fetal stress and act accordingly), followed by improvement in clinical management and quality of care for newborns experiencing the consequences of hypoxic events. Of the meningoencephalitis-related deaths (135 [10.2%]), only 25 patients with postmortem-confirmed meningitis (25 of 135 [18.5%]) had an LP performed before death and 85 (63.0%) received antibiotic treatment. Ethiopia had the lowest number of participants enrolled at the time of the analysis but had the highest proportion of deaths attributed to meningitis (28 of 68 [41.2%]; Table 2), and no LPs were performed before death. The DeCoDe panelists considered nearly all of these meningoencephalitis-related deaths (114 [85.1%]) to be preventable, with improved clinical management and quality of care deemed the most necessary prevention measures (eg, to diagnose meningitis and treat accordingly), followed by improved health education and health-seeking behavior to detect danger signs and seek medical attention. Regarding deaths attributed to cerebral malaria (68 [5.1%]), malaria testing was performed in 42 patients (61.8%) and antimalarial treatment was administered to 48 patients (70.6%). The DeCoDe panelists deemed up to 97.0% of these malaria-related deaths to be preventable, with improvement in clinical management and quality of care as the most important measure required, followed by improving the health education and health-seeking behavior of parents (Figure 3).
Discussion
The CHAMPS network provides the opportunity to increase knowledge about the underlying etiology of neurological emergencies among children in LMICs. The current lack of understanding is primarily due to the limited availability of diagnostic tools in LMICs to conduct comprehensive etiological studies in living patients with neurological symptoms. The findings of this study suggest that neurological symptoms were common before death among children in the CHAMPS cohort, clinical phenotypes were not enough to differentiate the underlying etiology of neurological symptoms, and necessary testing of CSF was very rarely performed.
Clinical Symptoms and Causes of Death
More than half of deceased neonates and children in our cohort had evidence of at least 1 neurological sign or symptom before death, which underscores their importance as common symptoms in the pathway to death. Overall, neurological signs were more frequently observed in older children, whereas neurological causes of death were notably more prevalent among neonates, possibly due to the difficulty of recognizing the less specific symptoms of neurological disorders in the latter. Altered mental status was present in nearly half of our cohort, which is twice as frequent as in a previous study involving febrile patients with HIV, whereby its occurrence was associated with a 4-fold increase in the risk of mortality.29 Although seizures are known to be common in children from LMICs,4,30,31,32 we observed a much higher incidence in this study conducted in a cohort with fatal outcomes. However, we were unable to differentiate severe malaria with febrile seizures from cerebral malaria.33,34,35,36 Loss of consciousness was reported in approximately 1 in every 7 patients and has also been recognized as a poor prognostic factor in critically ill children37; therefore, it appeared as the best sign to differentiate cerebral malaria from noncerebral malaria. Meningeal signs were evaluated and documented in only a fifth of our cohort, highlighting the need for improvement in the clinical evaluation and recording practices in our specific settings.38
Patients exhibiting neurological symptoms demonstrated a higher likelihood of presenting with fever, undergoing an LP, and receiving antimicrobial treatment. This observation supports the recognition by clinicians that infections involving the central nervous system are the leading cause of neurological symptoms in LMICs.7 The clinical phenotypes exhibited overlapping characteristics across age groups and final postmortem ICD-10 diagnoses. Our analysis supports the notion that specific clinical presentations alone cannot reliably establish a definitive diagnosis. This finding is consistent with previous studies conducted in pediatric patients who were alive but had comparatively limited diagnostic information available.39
Neurological Causes of Death, Their Management Before Death, and Preventability
Overall, the most prevalent ICD-10 neurological diagnoses in our study were hypoxic neonatal events, meningoencephalitis, and cerebral malaria, all of which are among the leading causes of mortality among children aged younger than 5 years globally.9,12,13,14,15,16,17,18 Meningoencephalitis emerged as the most common differential diagnosis across all age groups, needing to be differentiated from hypoxia in neonates and from cerebral malaria in infants and children. There were 12 deceased children in this study who had ICD-10 diagnoses of both a hypoxic event and meningitis, whereas there were no overlapping cases of cerebral malaria and meningitis in the entire cohort. These findings are encouraging to further investigate the overlap between malaria and meningitis in the CHAMPS network because it provides the opportunity for in-depth investigations of both diseases, including CSF and central nervous system pathology testing.
In this study, the leading cause of death in the neonatal period was neonatal hypoxia. A notable number of these deaths occurred despite the mothers giving birth in health facilities. Cesarean delivery, which can reduce the consequences of hypoxic events, was infrequently performed. These deaths were largely considered preventable with enhancements in perinatal clinical management and the quality of care provided.
Regarding meningitis deaths, premortem LPs were performed in less than one-tenth of patients who met the criteria. It is noteworthy that most LPs were conducted in South Africa. Consequently, in 6 of 7 settings, children who died from meningitis were rarely tested before death, indicating that management heavily relied on clinical suspicion and empirical treatment. In fact, Ethiopia, the site with the lowest number of participants enrolled at the time of the analysis, also had the highest proportion of deaths attributed to meningitis (28 of 68 [41.2%]), but no LPs were performed before death. These findings are likely attributable to multiple factors, including the following: lack of resources to perform an LP5,7,9,30,40; lack of capacity to test CSF in most of the hospitals from our sites; hesitancy of practitioners and families toward the procedure, especially among patients with very severe illness10,41; and lack of clear guidelines including LPs in the routine diagnostic pathway.10,11 This problem is particularly concerning among neonates: only 1 in 7 neonates presenting with seizures had an LP performed despite clear WHO guidelines recommending its use.42 Furthermore, an LP was performed in only 1 neonate with fever without neurological signs; tools commonly used in high-income countries to rule out potentially severe infections among neonates (eg, blood testing for C-reactive protein or procalcitonin) and therefore avoid LPs are rarely available in LMICs.43,44 Neonates were the age group in which most neurological diagnoses were confirmed postmortem, while they were the less symptomatic. Given the extremely complicated task of making a differential diagnosis among neonates based solely on unspecific clinical presentations, it is particularly worrying that the laboratory-based examinations needed to provide a correct diagnosis were seldom available and performed. Despite efforts to increase the performance of an LP in LICs,9 the CHAMPS data revealed extremely low compliance with LP implementation in clinical practice in these settings.
Malaria testing before death was not performed for more than one-third of patients with neurological symptoms attributed to cerebral malaria, and antimalarial treatment was not administered to a similar proportion of patients. These findings highlight the need to improve clinical care and management practices as reported by specialist panels, along with the importance of enhancing malaria prevention and control strategies.45
Limitations
This study has some limitations. Our cohort consisted of children who died, and we lacked a control group with better outcomes and comparable comprehensive etiological information for comparison. Also, differences in sites’ recruitment status and in resources and standards of care make comparisons between countries inaccurate, allowing us only to describe them. Another limitation is that clinical records were unavailable for one-third of our cohort, and most community deaths were not included for this reason. This limitation may have biased our results because the most rapidly progressed deaths, which may be more symptomatic, can be missed. Additionally, a considerable proportion of children with definitive neurological ICD-10 diagnoses did not have any documented positive neurological signs, which is highly improbable and likely reflects inadequate clinical documentation in the hospitals (Garcia Gomez et al, results under review).38 The combination of these factors suggests that our results may underestimate the actual incidence of neurological symptoms in severely ill children.
Conclusions
In this cross-sectional study of severely ill children in LMICs, neurological symptoms were common before death and were associated with potentially treatable diseases. Clinical symptoms of neurological syndromes, even in the most severe cases, overlapped across the most common etiologies (hypoxic events, meningoencephalitis, and cerebral malaria), limiting their discriminatory value. Despite the essential role of an LP in the differential diagnosis, its utilization in our clinical settings was worryingly infrequent. These findings suggest that urgent attention is required to improve early diagnostic tools that enable accurate identification of neurological emergencies in this vulnerable population to ultimately reduce mortality rates among children aged younger than 5 years.
References
- 1.Orman G, Rossi A, Meoded A, Huisman T. Children with acute neurological emergency. In: Hodler J, Kubik-Huch RA, von Schulthess GK, eds. Diseases of the Brain, Head and Neck, Spine 2020-2023: Diagnostic Imaging. IDKD Springer Series; 2020:179-190. doi: 10.1007/978-3-030-38490-6_14 [DOI] [Google Scholar]
- 2.Saigal G, Ezuddin NS, Vega G. Neurologic emergencies in pediatric patients including accidental and nonaccidental trauma. Neuroimaging Clin N Am. 2018;28(3):453-470. doi: 10.1016/j.nic.2018.03.007 [DOI] [PubMed] [Google Scholar]
- 3.Mousa A, Al-Taiar A, Anstey NM, et al. The impact of delayed treatment of uncomplicated P. falciparum malaria on progression to severe malaria: a systematic review and a pooled multicentre individual-patient meta-analysis. PLoS Med. 2020;17(10):e1003359. doi: 10.1371/journal.pmed.1003359 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Tebeila ND, Dangor Z, Madhi SA, Cutland C, Groome MJ. Incidence of febrile seizures and associated factors in children in Soweto, South Africa. S Afr Med J. 2021;111(8):796-802. doi: 10.7196/SAMJ.2021.v111i8.15431 [DOI] [PubMed] [Google Scholar]
- 5.Owusu-Ofori A, Agbenyega T, Ansong D, Scheld WM. Routine lumbar puncture in children with febrile seizures in Ghana: should it continue? Int J Infect Dis. 2004;8(6):353-361. doi: 10.1016/j.ijid.2003.12.008 [DOI] [PubMed] [Google Scholar]
- 6.World Health Organization . The Global Burden of Disease: 2004 Update. World Health Organization; 2008. [Google Scholar]
- 7.Yansouni CP, Bottieau E, Lutumba P, et al. Rapid diagnostic tests for neurological infections in central Africa. Lancet Infect Dis. 2013;13(6):546-558. doi: 10.1016/S1473-3099(13)70004-5 [DOI] [PubMed] [Google Scholar]
- 8.World Health Organization . Atlas: Country Resources for Neurological Disorders 2004. World Health Organization; 2004. [Google Scholar]
- 9.Defeating meningitis by 2030: a global road map. World Health Organization . 2021. Accessed August 13, 2024. https://www.who.int/publications/i/item/9789240026407
- 10.Thakur KT, Mateyo K, Hachaambwa L, et al. Lumbar puncture refusal in sub-Saharan Africa: a call for further understanding and intervention. Neurology. 2015;84(19):1988-1990. doi: 10.1212/WNL.0000000000001561 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Saylor D, Elafros M, Bearden D, et al. Factors associated with lumbar puncture performance in Zambia. Am J Trop Med Hyg. 2021;105(5):1429-1433. doi: 10.4269/ajtmh.21-0091 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Liu L, Oza S, Hogan D, et al. Global, regional, and national causes of under-5 mortality in 2000-15: an updated systematic analysis with implications for the Sustainable Development Goals. Lancet. 2016;388(10063):3027-3035. doi: 10.1016/S0140-6736(16)31593-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Hug L, Alexander M, You D, Alkema L; UN Inter-agency Group for Child Mortality Estimation . National, regional, and global levels and trends in neonatal mortality between 1990 and 2017, with scenario-based projections to 2030: a systematic analysis. Lancet Glob Health. 2019;7(6):e710-e720. doi: 10.1016/S2214-109X(19)30163-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Perin J, Mulick A, Yeung D, et al. Global, regional, and national causes of under-5 mortality in 2000-19: an updated systematic analysis with implications for the Sustainable Development Goals. Lancet Child Adolesc Health. 2022;6(2):106-115. doi: 10.1016/S2352-4642(21)00311-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Taylor AW, Blau DM, Bassat Q, et al. ; CHAMPS Consortium . Initial findings from a novel population-based child mortality surveillance approach: a descriptive study. Lancet Glob Health. 2020;8(7):e909-e919. doi: 10.1016/S2214-109X(20)30205-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.World Health Organization . World Malaria Report 2021. World Health Organization; 2022. [Google Scholar]
- 17.Koelman DLH, van Kassel MN, Bijlsma MW, Brouwer MC, van de Beek D, van der Ende A. Changing epidemiology of bacterial meningitis since introduction of conjugate vaccines: 3 decades of national meningitis surveillance in the Netherlands. Clin Infect Dis. 2021;73(5):e1099-e1107. doi: 10.1093/cid/ciaa1774 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Brouwer MC, Tunkel AR, van de Beek D. Epidemiology, diagnosis, and antimicrobial treatment of acute bacterial meningitis. Clin Microbiol Rev. 2010;23(3):467-492. doi: 10.1128/CMR.00070-09 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Salzberg NT, Sivalogan K, Bassat Q, et al. ; Child Health and Mortality Prevention Surveillance (CHAMPS) Methods Consortium . Mortality surveillance methods to identify and characterize deaths in Child Health and Mortality Prevention Surveillance network sites. Clin Infect Dis. 2019;69(suppl 4):S262-S273. doi: 10.1093/cid/ciz599 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Child Health and Mortality Prevention Surveillance (CHAMPS) network resources. Emory University. Accessed July 22, 2022. https://champshealth.org/resources
- 21.Rakislova N, Fernandes F, Lovane L, et al. Standardization of minimally invasive tissue sampling specimen collection and pathology training for the Child Health and Mortality Prevention Surveillance Network. Clin Infect Dis. 2019;69(suppl 4):S302-S310. doi: 10.1093/cid/ciz565 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Martines RB, Ritter JM, Gary J, et al. Pathology and telepathology methods in the Child Health and Mortality Prevention Surveillance network. Clin Infect Dis. 2019;69(suppl 4):S322-S332. doi: 10.1093/cid/ciz579 [DOI] [PubMed] [Google Scholar]
- 23.Diaz MH, Waller JL, Theodore MJ, et al. Development and implementation of multiplex TaqMan Array Cards for specimen testing at Child Health and Mortality Prevention Surveillance site laboratories. Clin Infect Dis. 2019;69(suppl 4):S311-S321. doi: 10.1093/cid/ciz571 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Nichols EK, Byass P, Chandramohan D, et al. ; WHO Verbal Autopsy Working Group . The WHO 2016 verbal autopsy instrument: an international standard suitable for automated analysis by InterVA, InSilicoVA, and Tariff 2.0. PLoS Med. 2018;15(1):e1002486. doi: 10.1371/journal.pmed.1002486 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Blau DM, Caneer JP, Philipsborn RP, et al. Overview and development of the Child Health and Mortality Prevention Surveillance Determination of Cause of Death (DeCoDe) process and DeCoDe diagnosis standards. Clin Infect Dis. 2019;69(suppl 4):S333-S341. doi: 10.1093/cid/ciz572 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Young Infants Clinical Signs Study Group . Clinical signs that predict severe illness in children under age 2 months: a multicentre study. Lancet. 2008;371(9607):135-142. doi: 10.1016/S0140-6736(08)60106-3 [DOI] [PubMed] [Google Scholar]
- 27.World Health Organization . Guidelines for the Treatment of Malaria. 3rd ed. World Health Organization; 2015. [Google Scholar]
- 28.Sell E, Munoz FM, Soe A, et al. ; Brighton Collaboration Acute Neonatal Encephalopathy Working Group . Neonatal encephalopathy: case definition & guidelines for data collection, analysis, and presentation of maternal immunisation safety data. Vaccine. 2017;35(48, pt A):6501-6505. doi: 10.1016/j.vaccine.2017.01.045 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Moon TD, Maússe FE, Gebretsadik T, et al. Altered mental status among febrile hospitalized HIV-infected children aged 0-59 months in Mozambique. J Trop Pediatr. 2021;67(3):fmaa052. doi: 10.1093/tropej/fmaa052 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Herbert G, Ndiritu M, Idro R, Makani JB, Kitundu J. Analysis of the indications for routine lumbar puncture and results of cerebrospinal fluid examination in children admitted to the paediatric wards of two hospitals in East Africa. Tanzan Health Res Bull. 2006;8(1):7-10. doi: 10.4314/thrb.v8i1.14263 [DOI] [PubMed] [Google Scholar]
- 31.Mwaniki M, Mathenge A, Gwer S, et al. Neonatal seizures in a rural Kenyan district hospital: aetiology, incidence and outcome of hospitalization. BMC Med. 2010;8:16. doi: 10.1186/1741-7015-8-16 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Ngugi AK, Bottomley C, Kleinschmidt I, et al. ; SEEDS Group . Prevalence of active convulsive epilepsy in sub-Saharan Africa and associated risk factors: cross-sectional and case-control studies. Lancet Neurol. 2013;12(3):253-263. doi: 10.1016/S1474-4422(13)70003-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.World Health Organization . Management of the Sick Young Infant Aged Up to 2 Months. World Health Organization; 2019. [Google Scholar]
- 34.World Health Organization . Management of Severe Malaria. World Health Organization; 2012. [Google Scholar]
- 35.Njuguna P, Maitland K, Nyaguara A, et al. Observational study: 27 years of severe malaria surveillance in Kilifi, Kenya. BMC Med. 2019;17(1):124. doi: 10.1186/s12916-019-1359-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Bassat Q, Guinovart C, Sigaúque B, et al. Malaria in rural Mozambique. Part II: children admitted to hospital. Malar J. 2008;7:37. doi: 10.1186/1475-2875-7-37 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Zachariasse JM, Nieboer D, Maconochie IK, et al. Development and validation of a paediatric early warning score for use in the emergency department: a multicentre study. Lancet Child Adolesc Health. 2020;4(8):583-591. doi: 10.1016/S2352-4642(20)30139-5 [DOI] [PubMed] [Google Scholar]
- 38.Garcia Gomez E, Igunza KA, Madewell ZJ, et al. ; Child Health and Mortality Prevention Surveillance Network . Identifying delays in healthcare seeking and provision: the three delays-in-healthcare and mortality among infants and children aged 1-59 months. PLOS Glob Public Health. 2024;4(2):e0002494. doi: 10.1371/journal.pgph.0002494 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Obiero CW, Mturi N, Mwarumba S, et al. Clinical features to distinguish meningitis among young infants at a rural Kenyan hospital. Arch Dis Child. 2021;106(2):130-136. doi: 10.1136/archdischild-2020-318913 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Lyons TW, Cruz AT, Freedman SB, et al. ; Pediatric Emergency Medicine Clinical Research Network (PEM CRC) Herpes Simplex Virus Study Group . Interpretation of cerebrospinal fluid white blood cell counts in young infants with a traumatic lumbar puncture. Ann Emerg Med. 2017;69(5):622-631. doi: 10.1016/j.annemergmed.2016.10.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Mukendi D, Kalo JL, Kayembe T, et al. Where there is no brain imaging: safety and diagnostic value of lumbar puncture in patients with neurological disorders in a rural hospital of Central Africa. J Neurol Sci. 2018;393:72-79. doi: 10.1016/j.jns.2018.08.004 [DOI] [PubMed] [Google Scholar]
- 42.World Health Organization . Recommendations on Newborn Health: Guidelines Approved by the WHO Guidelines Review Committee. World Health Organization; 2017. [Google Scholar]
- 43.Gomez B, Mintegi S, Bressan S, Da Dalt L, Gervaix A, Lacroix L; European Group for Validation of the Step-by-Step Approach . Validation of the “step-by-step” approach in the management of young febrile infants. Pediatrics. 2016;138(2):e20154381. doi: 10.1542/peds.2015-4381 [DOI] [PubMed] [Google Scholar]
- 44.Laham FR, Jewell AM, Schoonover SL, Demmler GJ, Piedra PA. The search for adenovirus 14 in children in Houston, Texas. Pediatr Infect Dis J. 2008;27(7):653-654. doi: 10.1097/INF.0b013e318168d25a [DOI] [PubMed] [Google Scholar]
- 45.Paulson KR, Kamath AM, Alam T, et al. ; GBD 2019 Under-5 Mortality Collaborators . Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burden of Disease Study 2019. Lancet. 2021;398(10303):870-905. doi: 10.1016/S0140-6736(21)01207-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
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