Development of a Clinical Prediction Model for In-hospital Mortality from the South African Cohort of the African Surgical Outcomes Study.
Hyla-Louise KluytsWilhelmina ConradieEstie CloeteSandra SpijkermanOliver SmithAhmed AlliModise Z KotoOdisang D MontwediKomalan GovenderLarissa CronjéMariette GrobbelaarJones A Omoshoro-JonesNicolette F RorkePhilip AndersonAlexandra TorborgChristella AlphonsusPanagiotis AlexandrisAunel Mallier PeterUsha SinghJohan DiedericksBusisiwe MraraAnthony ReedGareth L DaviesJody G DavidsHendrik A Van ZylVishendran GovindasamyReitze RodsethRoel Matos-PuigKajake A P BhatNoel NaidooJohn RoosMagdalena JaworskaAnnemarie SteynJohannes M DippenaarR M PearseThandinkosi MadibaBruce M BiccardPublished in: World journal of surgery (2020)
The prediction model did not include factors that can explain how the context of care influences post-operative mortality in South Africa. It does, however, provide a basis for reporting risk-adjusted perioperative mortality rate in the future, and identifies the types of surgery to be prioritised in quality improvement projects at a local or national level.
Keyphrases
- quality improvement
- patient safety
- south africa
- cardiovascular events
- minimally invasive
- risk factors
- coronary artery bypass
- healthcare
- genome wide
- cardiac surgery
- palliative care
- cardiovascular disease
- dna methylation
- coronary artery disease
- surgical site infection
- gene expression
- health insurance
- men who have sex with men
- electronic health record
- drug induced