TY - JOUR
T1 - Molecular phenotypes of critical illness confer prognostic and biological enrichment in sub-Saharan Africa
T2 - A prospective cohort study from Uganda
AU - Cummings, Matthew J.
AU - Lutwama, Julius J.
AU - Tomoiaga, Alin S.
AU - Owor, Nicholas
AU - Lu, Xuan
AU - Ross, Jesse E.
AU - Muwanga, Moses
AU - Nsereko, Christopher
AU - Nayiga, Irene
AU - Nie, Kai
AU - Kayiwa, John
AU - Che, Xiaoyu
AU - Wayengera, Misaki
AU - Kim-Schulze, Seunghee
AU - Lipkin, W. Ian
AU - O'Donnell, Max R.
AU - Bakamutumaho, Barnabas
N1 - Publisher Copyright:
© Author(s) (or their employer(s)) 2024.
PY - 2024
Y1 - 2024
N2 - The generalisability of critical illness molecular phenotypes to low-And middle-income countries (LMICs) is unknown. We show that molecular phenotypes derived in high-income countries (hyperinflammatory and hypoinflammatory, reactive and uninflamed) stratify sepsis patients in Uganda by physiological severity, mortality risk and dysregulation of key pathobiological domains. A classifier model including data available at the LMIC bedside modestly discriminated phenotype assignment (area under the receiver operating characteristic curve (AUROC) 0.80, 95% CI 0.71 to 0.90 for hyperinflammatory vs hypoinflammatory; AUROC 0.74, 95% CI 0.65 to 0.83 for reactive vs uninflamed). Our findings highlight the potential for a globally relevant, clinicomolecular classification of critical illness and may support the inclusion of diverse populations in phenotype-Targeted critical care trials. Improved laboratory capacity and access to rapid biomarker assays are likely necessary to optimise phenotype stratification in LMIC settings.
AB - The generalisability of critical illness molecular phenotypes to low-And middle-income countries (LMICs) is unknown. We show that molecular phenotypes derived in high-income countries (hyperinflammatory and hypoinflammatory, reactive and uninflamed) stratify sepsis patients in Uganda by physiological severity, mortality risk and dysregulation of key pathobiological domains. A classifier model including data available at the LMIC bedside modestly discriminated phenotype assignment (area under the receiver operating characteristic curve (AUROC) 0.80, 95% CI 0.71 to 0.90 for hyperinflammatory vs hypoinflammatory; AUROC 0.74, 95% CI 0.65 to 0.83 for reactive vs uninflamed). Our findings highlight the potential for a globally relevant, clinicomolecular classification of critical illness and may support the inclusion of diverse populations in phenotype-Targeted critical care trials. Improved laboratory capacity and access to rapid biomarker assays are likely necessary to optimise phenotype stratification in LMIC settings.
UR - http://www.scopus.com/inward/record.url?scp=85214396528&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85214396528&partnerID=8YFLogxK
U2 - 10.1136/thorax-2024-222412
DO - 10.1136/thorax-2024-222412
M3 - Article
C2 - 39721757
AN - SCOPUS:85214396528
SN - 0040-6376
JO - Thorax
JF - Thorax
M1 - thorax-2024-222412
ER -