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1.
Pediatr Crit Care Med ; 24(12): 1063-1071, 2023 Dec 01.
Article in English | MEDLINE | ID: mdl-37523579

ABSTRACT

OBJECTIVES: To describe the prevalence of pediatric acute respiratory distress syndrome (pARDS) and the characteristics of children with pARDS in South African PICUs. DESIGN: Observational multicenter, cross-sectional point-prevalence study. SETTING: Eight PICUs in four South African provinces. PATIENTS: All children beyond the neonatal period and under 18 years of age admitted to participating PICUs. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Clinical and demographic data were prospectively collected on a single day of each month, from February to July 2022, using a centralized database. Cases with or at risk of pARDS were identified using the 2015 Pediatric Acute Lung Injury Consensus Conference criteria. Prevalence was calculated as the number of children meeting pARDS criteria/the total number of children admitted to PICU at the same time points. Three hundred ten patients were present in the PICU on study days: 166 (53.5%) male, median (interquartile range [IQR]) age 9.8 (3.1-32.9) months, and 195 (62.9%) invasively mechanically ventilated. Seventy-one (22.9%) patients were classified as being "at risk" of pARDS and 95 patients (prevalence 30.6%; 95% CI, 24.7-37.5%) fulfilled pARDS case criteria, with severity classified as mild (58.2%), moderate (25.3%), and severe (17.6%). Median (IQR) admission Pediatric Index of Mortality 3 risk of mortality in patients with and without pARDS was 5.6 (3.4-12.1) % versus 3.9 (1.0-8.2) % ( p = 0.002). Diagnostic categories differed between pARDS and non-pARDS groups ( p = 0.002), with no difference in age, sex, or presence of comorbidities. On multivariable logistic regression, increasing admission risk of mortality (adjusted odds ratio [aOR] 1.02; 95% CI, 1.00-1.04; p = 0.04) and being admitted with a respiratory condition (aOR 2.64; 95% CI, 1.27-5.48; p = 0.01) were independently associated with an increased likelihood of having pARDS. CONCLUSIONS: The 30.6% prevalence of pARDS in South Africa is substantially higher than reports from other sociogeographical regions, highlighting the need for further research in this setting.


Subject(s)
Respiratory Distress Syndrome , Infant, Newborn , Child , Humans , Male , Infant , Adolescent , Female , Cross-Sectional Studies , South Africa/epidemiology , Prevalence , Intensive Care Units, Pediatric
2.
Pediatr Crit Care Med ; 22(9): 813-821, 2021 09 01.
Article in English | MEDLINE | ID: mdl-33710074

ABSTRACT

OBJECTIVES: To evaluate the performance of the Pediatric Index of Mortality 3 as mortality risk assessment model. DESIGN: This prospective study included all admissions 30 days to 18 years old for 12 months during 2016 and 2017. Data gathered included the following: age and gender, diagnosis and reason for PICU admission, data specific for the Pediatric Index of Mortality 3 calculation, PICU outcomes (death or survival), and length of PICU stay. SETTING: Nine units that care for children within tertiary or quaternary academic hospitals in South Africa. PATIENTS: All admissions 30 days to 18 years old, excluding premature infants, children who died within 2 hours of admission, or children transferred to other PICUs, and those older than 18 years old. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: There were 3,681 admissions of which 2,253 (61.3%) were male. The median age was 18 months (interquartile range, 6-59.5 mo). There were 354 deaths (9.6%). The Pediatric Index of Mortality 3 predicted 277.47 deaths (7.5%). The overall standardized mortality ratio was 1.28. The area under the receiver operating characteristic curve was 0.81 (95% CI 0.79-0.83). The Hosmer-Lemeshow goodness-of-fit test statistic was 174.4 (p < 0.001). Standardized mortality ratio for all age groups was greater than 1. Standardized mortality ratio for diagnostic subgroups was mostly greater than 1 except for those whose reason for PICU admission was classified as accident, toxin and envenomation, and metabolic which had an standardized mortality ratio less than 1. There were similar proportions of respiratory patients, but significantly greater proportions of neurologic and cardiac (including postoperative) patients in the Pediatric Index of Mortality 3 derivation cohort than the South African cohort. In contrast, the South African cohort contained a significantly greater proportion of miscellaneous (including injury/accident victims) and postoperative noncardiac patients. CONCLUSIONS: The Pediatric Index of Mortality 3 discrimination between death and survival among South African units was good. Case-mix differences between these units and the Pediatric Index of Mortality 3 derivation cohort may partly explain the poor calibration. We need to recalibrate Pediatric Index of Mortality 3 to the local setting.


Subject(s)
Intensive Care Units, Pediatric , Adolescent , Child , Hospital Mortality , Humans , Infant , Male , Prospective Studies , ROC Curve , South Africa/epidemiology
3.
Clin Infect Dis ; 72(12): e938-e944, 2021 06 15.
Article in English | MEDLINE | ID: mdl-33170927

ABSTRACT

BACKGROUND: Children seem relatively protected from serious severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-related disease, but little is known about children living in settings with high tuberculosis and human immunodeficiency virus (HIV) burden. This study reflects clinical data on South African children with SARS-CoV-2. METHODS: We collected clinical data of children aged <13 years with laboratory-confirmed SARS-CoV-2 presenting to Tygerberg Hospital, Cape Town, between 17 April and 24 July 2020. RESULTS: One hundred fifty-nine children (median age, 48.0 months [interquartile range {IQR}, 12.0-106.0 months]) were included. Hospitalized children (n = 62), with a median age of 13.5 months (IQR, 1.8-43.5 months) were younger than children not admitted (n = 97; median age, 81.0 months [IQR, 34.5-120.5 months]; P < .01.). Thirty-three of 159 (20.8%) children had preexisting medical conditions. Fifty-one of 62 (82.3%) hospitalized children were symptomatic; lower respiratory tract infection was diagnosed in 21 of 51 (41.2%) children, and in 11 of 16 (68.8%) children <3 months of age. Respiratory support was required in 25 of 51 (49.0%) children; 13 of these (52.0%) were <3 months of age. One child was HIV infected and 11 of 51 (21.2%) were HIV exposed but uninfected, and 7 of 51 (13.7%) children had a recent or new diagnosis of tuberculosis. CONCLUSIONS: Children <1 year of age hospitalized with SARS-CoV-2 in Cape Town frequently required respiratory support. Access to oxygen may be limited in some low- and middle-income countries, which could potentially drive morbidity and mortality. HIV infection was uncommon but a relationship between HIV exposure, tuberculosis, and SARS-CoV-2 should be explored.


Subject(s)
COVID-19 , HIV Infections , Child , Child, Preschool , HIV Infections/complications , HIV Infections/epidemiology , Hospitals , Humans , Infant , SARS-CoV-2 , South Africa/epidemiology
4.
BMJ Case Rep ; 20172017 Jul 24.
Article in English | MEDLINE | ID: mdl-28739566

ABSTRACT

A 9-year-old girl from black ethnic origin presented with a history of fever, cough, loss of weight and right-sided chest wall pain for 2 weeks. Chest X-ray demonstrated an effusion, which was shown to be loculated on chest CT scan. She was not responding to medical treatment and at thoracotomy loculated pus was drained. Mycobacterium tuberculosis (TB) was cultured from the pus. TB is a rare cause of loculated empyema with an overlapping clinical and radiological picture with pyogenic infections.


Subject(s)
Empyema, Tuberculous/diagnosis , Empyema/diagnosis , Mycobacterium tuberculosis/growth & development , Pleura , Pleural Cavity , Pleural Effusion/diagnosis , Child , Drainage , Empyema/microbiology , Empyema/therapy , Empyema, Tuberculous/microbiology , Empyema, Tuberculous/therapy , Exudates and Transudates , Female , Humans , Pleura/microbiology , Pleura/pathology , Pleural Cavity/microbiology , Pleural Cavity/pathology , Pleural Effusion/etiology , Pleural Effusion/therapy , Thoracotomy , Tomography, X-Ray Computed , Tuberculosis/microbiology
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