Predictive Validity of the qSOFA Score for Sepsis in Adults with Community-Onset Staphylococcal Infection in Thailand.
Supaksh GuptaKristina E RuddSarunporn TandhavanantPornpan SuntornsutPloenchan ChetchotisakdDerek C AngusSharon J PeacockNarisara ChantratitaTimothy Eoin WestPublished in: Journal of clinical medicine (2019)
The quick sequential organ failure assessment (qSOFA) score has had limited validation in lower resource settings and was developed using data from high-income countries. We sought to evaluate the predictive validity of the qSOFA score for sepsis within a low- and middle-income country (LMIC) population with culture-proven staphylococcal infection. This was a secondary analysis of a prospective multicenter cohort in Thailand with culture-positive infection due to Staphylococcus aureus or S. argenteus within 24 h of admission and positive (≥2/4) systemic inflammatory response syndrome (SIRS) criteria. Primary exposure was maximum qSOFA score within 48 h of culture collection and primary outcome was mortality at 28 days. Baseline risk of mortality was determined using a multivariable logistic regression model with age, gender, and co-morbidities significantly associated with the outcome. Predictive validity was assessed by discrimination of mortality using area under the receiver operating characteristic (AUROC) curve compared to a model using baseline risk factors alone. Of 253 patients (mean age 54 years (SD 16)) included in the analysis, 23 (9.1%) died by 28 days after enrollment. Of those who died, 0 (0%) had a qSOFA score of 0, 8 (35%) had a score of 1, and 15 (65%) had a score ≥2. The AUROC of qSOFA plus baseline risk was significantly greater than for the baseline risk model alone (AUROCqSOFA = 0.80 (95% CI, 0.70-0.89), AUROCbaseline = 0.62 (95% CI, 0.49-0.75); p < 0.001). Among adults admitted to four Thai hospitals with community-onset coagulase-positive staphylococcal infection and SIRS, the qSOFA score had good predictive validity for sepsis.
Keyphrases
- staphylococcus aureus
- risk factors
- inflammatory response
- mental health
- healthcare
- intensive care unit
- acute kidney injury
- cardiovascular events
- emergency department
- type diabetes
- chronic kidney disease
- methicillin resistant staphylococcus aureus
- end stage renal disease
- septic shock
- physical activity
- coronary artery disease
- biofilm formation
- pseudomonas aeruginosa
- newly diagnosed
- ejection fraction
- escherichia coli
- cross sectional
- electronic health record
- artificial intelligence
- drug induced
- double blind