کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4195387 1608926 2015 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Identification of the high risk emergency surgical patient: Which risk prediction model should be used?
ترجمه فارسی عنوان
شناسایی بیمار جراحی فوق العاده خطر: کدام مدل پیش بینی ریسک باید استفاده شود؟
کلمات کلیدی
مرگ و میر ناشی از خطر بروز خطرات اضطراری
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی سیاست های بهداشت و سلامت عمومی
چکیده انگلیسی


• Emergency surgical patients require a mortality risk assessment upon admission.
• There is wide variability of risk prediction in the available risk scoring methods.
• Pre-operative risk scores do not reliably identify the high risk surgical patient.
• The CR-POSSUM score predicts mortality risk accurately in emergency laparotomy.
• The CR-POSSUM may be a useful tool in guiding the level of post-operative care.

IntroductionNational guidance states that all patients having emergency surgery should have a mortality risk assessment calculated on admission so that the ‘high risk’ patient can receive the appropriate seniority and level of care. We aimed to assess if peri-operative risk scoring tools could accurately calculate mortality and morbidity risk.MethodsMortality risk scores for 86 consecutive emergency laparotomies, were calculated using pre-operative (ASA, Lee index) and post-operative (POSSUM, P-POSSUM and CR-POSSUM) risk calculation tools. Morbidity risk scores were calculated using the POSSUM predicted morbidity and compared against actual morbidity according to the Clavien–Dindo classification.ResultsThe actual mortality was 10.5%. The average predicted risk scores for all laparotomies were: ASA 26.5%, Lee Index 2.5%, POSSUM 29.5%, P-POSSUM 18.5%, CR-POSSUM 10.5%.Complications occurred following 67 laparotomies (78%). The majority (51%) of complications were classified as Clavien–Dindo grade 2–3 (non-life-threatening).Patients having a POSSUM morbidity risk of greater than 50% developed significantly more life-threatening complications (CD 4–5) compared with those who predicted less than or equal to 50% morbidity risk (P = 0.01).DiscussionPre-operative risk stratification remains a challenge because the Lee Index under-predicts and ASA over-predicts mortality risk. Post-operative risk scoring using the CR-POSSUM is more accurate and we suggest can be used to identify patients who require intensive care post-operatively.ConclusionsIn the absence of accurate risk scoring tools that can be used on admission to hospital it is not possible to reliably audit the achievement of national standards of care for the ‘high-risk’ patient.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Annals of Medicine and Surgery - Volume 4, Issue 3, September 2015, Pages 240–247
نویسندگان
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