Development of a Clinical Prediction Model for In-hospital Mortality from the South African Cohort of the African Surgical Outcomes Study

Background Data on the factors that influence mortality after surgery in South Africa are scarce, and neither these data nor data on risk-adjusted in-hospital mortality after surgery are routinely collected. Predictors related to the context or setting of surgical care delivery may also provide insi...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	World journal of surgery 2021-02, Vol.45 (2), p.404-416
Hauptverfasser:	Kluyts, Hyla-Louise, Conradie, Wilhelmina, Cloete, Estie, Spijkerman, Sandra, Smith, Oliver, Alli, Ahmed, Koto, Modise Z., Montwedi, Odisang D., Govender, Komalan, Cronjé, Larissa, Grobbelaar, Mariette, Omoshoro-Jones, Jones A., Rorke, Nicolette F., Anderson, Philip, Torborg, Alexandra, Alphonsus, Christella, Alexandris, Panagiotis, Mallier Peter, Aunel, Singh, Usha, Diedericks, Johan, Mrara, Busisiwe, Reed, Anthony, Davies, Gareth L., Davids, Jody G., Van Zyl, Hendrik A., Govindasamy, Vishendran, Rodseth, Reitze, Matos-Puig, Roel, Bhat, Kajake A. P., Naidoo, Noel, Roos, John, Jaworska, Magdalena, Steyn, Annemarie, Dippenaar, Johannes M., Pearse, R. M., Madiba, Thandinkosi, Biccard, Bruce M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Abdominal Surgery Calibration Cardiac Surgery Confidence intervals Context General Surgery Head and neck Medicine Medicine & Public Health Mortality Neurosurgery Performance evaluation Prediction models Quality control Regression models Risk Statistical analysis Surgery Surgery in Low and Middle Income Countries Surgical outcomes Thoracic Surgery Thorax Vascular Surgery
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!