دورية أكاديمية

Head-to-head comparison of 19 prediction models for short-term outcome in medical patients in the emergency department: a retrospective study.

التفاصيل البيبلوغرافية
العنوان: Head-to-head comparison of 19 prediction models for short-term outcome in medical patients in the emergency department: a retrospective study.
المؤلفون: van Dam PMEL; Department of Internal Medicine, Division of General Internal Medicine, Section Acute Medicine, Maastricht University Medical Center, Maastricht, the Netherlands., Lievens S; Department of Internal Medicine, Division of General Internal Medicine, Section Acute Medicine, Maastricht University Medical Center, Maastricht, the Netherlands., Zelis N; Department of Internal Medicine, Division of General Internal Medicine, Section Acute Medicine, Maastricht University Medical Center, Maastricht, the Netherlands., van Doorn WPTM; Central Diagnostic Laboratory, Department of Clinical Chemistry, Maastricht University Medical Center, Maastricht, the Netherlands., Meex SJR; Central Diagnostic Laboratory, Department of Clinical Chemistry, Maastricht University Medical Center, Maastricht, the Netherlands., Cals JWL; Department of Family Medicine, Care and Public Health Research Institute (CAPHRI), Maastricht University, the Netherlands., Stassen PM; Department of Internal Medicine, Division of General Internal Medicine, Section Acute Medicine, Maastricht University Medical Center, Maastricht, the Netherlands.; School for Cardiovascular Diseases (CARIM), Maastricht University, the Netherlands.
المصدر: Annals of medicine [Ann Med] 2023; Vol. 55 (2), pp. 2290211. Date of Electronic Publication: 2023 Dec 08.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Informa Healthcare Country of Publication: England NLM ID: 8906388 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-2060 (Electronic) Linking ISSN: 07853890 NLM ISO Abbreviation: Ann Med Subsets: MEDLINE
أسماء مطبوعة: Publication: London : Informa Healthcare
Original Publication: Helsinki : Finnish Medical Society Duodecim, 1989-
مواضيع طبية MeSH: Emergency Service, Hospital*, Adult ; Humans ; Retrospective Studies ; Prognosis ; APACHE ; ROC Curve ; Hospital Mortality
مستخلص: Introduction: Prediction models for identifying emergency department (ED) patients at high risk of poor outcome are often not externally validated. We aimed to perform a head-to-head comparison of the discriminatory performance of several prediction models in a large cohort of ED patients.
Methods: In this retrospective study, we selected prediction models that aim to predict poor outcome and we included adult medical ED patients. Primary outcome was 31-day mortality, secondary outcomes were 1-day mortality, 7-day mortality, and a composite endpoint of 31-day mortality and admission to intensive care unit (ICU).The discriminatory performance of the prediction models was assessed using an area under the receiver operating characteristic curve (AUC). Finally, the prediction models with the highest performance to predict 31-day mortality were selected to further examine calibration and appropriate clinical cut-off points.
Results: We included 19 prediction models and applied these to 2185 ED patients. Thirty-one-day mortality was 10.6% (231 patients), 1-day mortality was 1.4%, 7-day mortality was 4.4%, and 331 patients (15.1%) met the composite endpoint. The RISE UP and COPE score showed similar and very good discriminatory performance for 31-day mortality (AUC 0.86), 1-day mortality (AUC 0.87), 7-day mortality (AUC 0.86) and for the composite endpoint (AUC 0.81). Both scores were well calibrated. Almost no patients with RISE UP and COPE scores below 5% had an adverse outcome, while those with scores above 20% were at high risk of adverse outcome. Some of the other prediction models (i.e. APACHE II, NEWS, WPSS, MEWS, EWS and SOFA) showed significantly higher discriminatory performance for 1-day and 7-day mortality than for 31-day mortality.
Conclusions: Head-to-head validation of 19 prediction models in medical ED patients showed that the RISE UP and COPE score outperformed other models regarding 31-day mortality.
References: Eur J Emerg Med. 2016 Oct;23(5):337-43. (PMID: 25831039)
Lung India. 2017 May-Jun;34(3):307-308. (PMID: 28474668)
PLoS One. 2020 Sep 24;15(9):e0239318. (PMID: 32970708)
J Accid Emerg Med. 1999 May;16(3):179-81. (PMID: 10353042)
Acute Med. 2022;21(1):5-11. (PMID: 35342904)
Emerg Med J. 2006 Aug;23(8):601-3. (PMID: 16858089)
Med J Aust. 2003 Nov 17;179(10):524-6. (PMID: 14609414)
PLoS One. 2021 Jan 19;16(1):e0245157. (PMID: 33465096)
Acute Med. 2019;18(3):171-183. (PMID: 31536055)
Scand J Clin Lab Invest Suppl. 1990;203:75-86. (PMID: 2128562)
BMJ. 2020 Sep 9;370:m3339. (PMID: 32907855)
Acta Anaesthesiol Scand. 2020 Apr;64(4):424-442. (PMID: 31828760)
Int J Med Inform. 2007 Nov-Dec;76(11-12):801-11. (PMID: 17059892)
BMC Emerg Med. 2021 Jun 10;21(1):68. (PMID: 34112088)
JAMA. 2012 Jan 11;307(2):199-200. (PMID: 22235093)
Ann Med. 2021 Dec;53(1):402-409. (PMID: 33629918)
QJM. 2001 Oct;94(10):521-6. (PMID: 11588210)
Am J Emerg Med. 2022 Sep;59:106-110. (PMID: 35820277)
Int J Emerg Med. 2013 Oct 24;6(1):41. (PMID: 24156298)
Neth J Med. 2018 Jan;76(1):32-35. (PMID: 29380730)
Emerg Med J. 2022 Mar;39(3):168-173. (PMID: 35042695)
BMC Anesthesiol. 2020 Dec 2;20(1):296. (PMID: 33267777)
Thorax. 2003 May;58(5):377-82. (PMID: 12728155)
Int J Immunopathol Pharmacol. 2020 Jan-Dec;34:2058738420936386. (PMID: 32602801)
BMC Emerg Med. 2015 Oct 13;15:29. (PMID: 26464225)
Prehosp Emerg Care. 2023;27(1):75-83. (PMID: 34846982)
Emerg Med Australas. 2011 Jun;23(3):354-63. (PMID: 21668723)
J Chronic Dis. 1987;40(5):373-83. (PMID: 3558716)
Ann Emerg Med. 2013 Jun;61(6):605-611.e6. (PMID: 23218508)
Intensive Care Med. 2000 Dec;26(12):1779-85. (PMID: 11271085)
Acad Emerg Med. 2007 Aug;14(8):709-14. (PMID: 17576773)
Crit Care Med. 1985 Oct;13(10):818-29. (PMID: 3928249)
J Intern Med. 2004 May;255(5):579-87. (PMID: 15078500)
Am J Emerg Med. 1987 Jul;5(4):278-82. (PMID: 3593492)
BMJ Open. 2021 Jul 7;11(7):e046009. (PMID: 34233976)
BMJ Open. 2021 Sep 16;11(9):e051468. (PMID: 34531219)
Stat Med. 2016 Jan 30;35(2):214-26. (PMID: 26553135)
Eur J Intern Med. 2020 Jul;77:36-43. (PMID: 32113943)
World J Emerg Med. 2012;3(2):114-7. (PMID: 25215048)
Br J Anaesth. 2007 Jun;98(6):769-74. (PMID: 17470844)
Saudi J Anaesth. 2019 Apr;13(Suppl 1):S31-S34. (PMID: 30930717)
JAMA Intern Med. 2020 Jan 1;180(1):80-88. (PMID: 31682713)
Intensive Care Med. 1996 Jul;22(7):707-10. (PMID: 8844239)
Eur J Intern Med. 2017 Nov;45:20-31. (PMID: 28993097)
Eur J Intern Med. 2017 Nov;45:32-36. (PMID: 28986155)
J Korean Med Sci. 2016 Dec;31(12):2026-2032. (PMID: 27822945)
Eur J Emerg Med. 2017 Jun;24(3):170-175. (PMID: 26524675)
BMJ Open. 2021 Feb 5;11(2):e045141. (PMID: 33550267)
JAMA. 2016 Feb 23;315(8):762-74. (PMID: 26903335)
Resuscitation. 2005 Aug;66(2):203-7. (PMID: 15955609)
Eur J Emerg Med. 2015 Oct;22(5):331-7. (PMID: 25144398)
فهرسة مساهمة: Keywords: Prediction; emergency department; mortality; prognosis
تواريخ الأحداث: Date Created: 20231208 Date Completed: 20231216 Latest Revision: 20240222
رمز التحديث: 20240222
مُعرف محوري في PubMed: PMC10786429
DOI: 10.1080/07853890.2023.2290211
PMID: 38065678
قاعدة البيانات: MEDLINE
الوصف
تدمد:1365-2060
DOI:10.1080/07853890.2023.2290211