A clinical nomogram predicting unplanned ICU admission after
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Despite the improvement of surgical procedures and perioperative management, a portion of patients was still at high risk for intensive care unit admission owing to severe morbidity after hip fracture surgeries. Age, chronic heart failure, coronary heart disease, COPD, Parkinson's disease, and serum albumin and creatinine concentration are factors predicting this.

The purpose of this study by Surgery was to analyze influencing factors and to construct a clinical nomogram to predict unscheduled intensive care unit admission among inpatients after hip fracture surgeries.

They enrolled a total of 1234 hip fracture patients, with 40 unplanned intensive care unit admissions. Demographics, chronic coexisting conditions at admission, laboratory tests, and surgical variables were collected and compared between intensive care unit admission and nonadmission groups. The optimal lasso model was refined to the whole data set, and multivariate logistic regression was used to assign relative weights. A nomogram incorporating these predictors was constructed to visualize these predictors and their corresponding points of the risk for unplanned intensive care unit admission.

The study shows;
--In the development group, chronic heart failure, coronary heart disease, chronic obstructive pulmonary disease, Parkinson's disease, and serum albumin and creatinine concentration were associated with unscheduled intensive care unit admission using multivariate analysis.

--The final model had an area under the curve of 0.854. The median calculated odds ratio of intensive care unit admission based on the nomogram was significantly higher for patients in the intensive care unit admission group than in the non-intensive care unit admission group.

--The validation group proved its high predictive power with an area under the curve of 0.96.

Conclusively, researchers identified several independent factors that may increase the risk for unexpected intensive care unit admission after hip fracture surgery and developed a clinical nomogram based on these variables. Preoperative evaluation using this nomogram might facilitate advanced intensive care unit resource management for high-risk patients whose conditions might easily deteriorate if not closely monitored in general wards after surgeries.

Source: https://doi.org/10.1016/j.surg.2021.01.009
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