کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2916890 1175649 2016 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
When is ‘Urgent’ Really Urgent and Does it Matter? Misclassification of Procedural Status and Implications for Risk Assessment in Cardiac Surgery
ترجمه فارسی عنوان
چه زمانی است؟ واقعا ضروری است و آیا آن را مهم می دانید؟ اشتباه طبقه بندی وضعیت روانشناختی و پیامدهای ارزیابی خطر در جراحی قلب
کلمات کلیدی
وضعیت بالینی، طبقه بندی نامناسب، مدل جهانی، پیش بینی ریسک، جراحی قلب، مرگ و میر 30 روزه
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی کاردیولوژی و پزشکی قلب و عروق
چکیده انگلیسی

BackgroundMany patients classified as “urgent” in Australia New Zealand Society of Cardiac and Thoracic Surgeons (ANZSCTS) registry contradict the prescribed definition (surgery within 72 hours of angiogram or unplanned admission). The aim was to examine the impacts of this misclassification on the prediction of 30-day mortality following cardiac surgery.MethodsThe ‘reported clinical status’ was compared with a ‘corrected clinical status’ following reclassification based on the standard definition calculated from raw data. Observed-to-predicted risk ratios (OPRs) of 30-day mortality were calculated for the model using reported status and corrected status and compared. A Bland-Altman plot was generated to examine the level of agreement between the two OPRs.ResultsOf 18496 cases reported as urgent, 49.9% were operated after 72 hours, leading to misclassification of 14.6% in the registry. Misclassified patients had significantly higher mortality (3.5%) than true urgent patients (2.9%). Underweight (OR:1.6,CI:1.2-2.1), dialysis (OR:1.4,CI:1.1-1.7), endocarditis (OR:2.1,CI:1.7-2.5), shock (OR:1.6,CI:1.3-2.0) and poor ejection fraction (OR:1.2,CI:1.1-1.4) were significant predictors of misclassification. Bland- Altman plot demonstrates significant disagreement between two risk estimates (P<0.001). Misclassification results in overestimation of risk by 9.1%. Observed-to-predicted risk increased with corrected definition (0.8975 vs 0.9875), suggesting poorer calibration with reported status.ConclusionsIn the ANZSCTS database, misclassification prevalence is 14.6%. Misclassification compromises the discrimination capacity and calibration of the model and results in overestimation of mortality risk.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Heart, Lung and Circulation - Volume 25, Issue 2, February 2016, Pages 196–203
نویسندگان
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