Literature DB >> 30629013

Application of electronic medical record-derived analytics in critical care: Rothman Index predicts mortality and readmissions in surgical intensive care unit patients.

Abdul Q Alarhayem1, Mark T Muir, Donald J Jenkins, Basil A Pruitt, Brian J Eastridge, Maulik P Purohit, Ramon F Cestero.   

Abstract

INTRODUCTION: The Rothman Index (RI) is an objective measurement of a patient's overall condition, automatically generated from 26 variables including vital signs, laboratory data, cardiac rhythms, and nursing assessments. The purpose of this study was to assess the validity of RI scores in predicting surgical ICU (SICU) readmission rates and mortality.
METHODS: We conducted a single-center retrospective analysis of surgical patients who were transferred from the SICU to the surgical floor from December 2014 to December 2016. Data included demographics, length of stay (LOS), mortality, and RI at multiple pretransfer and post-transfer time points.
RESULTS: A total of 1,445 SICU patients were transferred to the surgical floor; 79 patients (5.5%) were readmitted within 48 hours of transfer. Mean age was 52 years, and 67% were male. Compared to controls, patients readmitted to the SICU within 48 hours experienced higher LOS (29 vs. 11 days, p < 0.05) as well as higher mortality (2.5% vs. 0.6%, p < 0.05). Patients requiring readmission also had a lower RI at 72, 48, and 24 hours before transfer as well as at 24 and 48 hours after transfer (p < 0.05 for all). Rothman Index scores were categorized into higher-risk (<40), medium-risk (40-65), and lower-risk groups (>65); RI scores at 24 hours before transfer were inversely proportional to overall mortality (RI < 40 = 2.5%, RI 40-65 = 0.3%, and RI > 65 = 0%; p < 0.05) and SICU readmission rates (RI < 40 = 9%, RI 40-65 = 5.2%, and RI > 65 = 2.8%; p < 0.05). Patients transferred with RI scores greater than 83 did not require SICU readmission within 48 hours.
CONCLUSION: Surgical ICU patients requiring readmission within 48 hours of transfer have a significantly higher mortality and longer LOS compared to those who do not. Patients requiring readmission also have significantly lower pretransfer and post-transfer RI scores compared to those who do not. Rothman Index scores may be used as a clinical tool for evaluating patients before transfer from the SICU. Prospective studies are warranted to further validate use of this technology. LEVEL OF EVIDENCE: Retrospective database review, level III.

Entities:  

Mesh:

Year:  2019        PMID: 30629013     DOI: 10.1097/TA.0000000000002191

Source DB:  PubMed          Journal:  J Trauma Acute Care Surg        ISSN: 2163-0755            Impact factor:   3.313


  7 in total

1.  Electronic health record machine learning model predicts trauma inpatient mortality in real time: A validation study.

Authors:  Zongyang Mou; Laura N Godat; Robert El-Kareh; Allison E Berndtson; Jay J Doucet; Todd W Costantini
Journal:  J Trauma Acute Care Surg       Date:  2022-01-01       Impact factor: 3.697

2.  Stratifying Deterioration Risk by Acuity at Admission Offers Triage Insights for Coronavirus Disease 2019 Patients.

Authors:  Joseph Beals; Jaime J Barnes; Daniel J Durand; Joan M Rimar; Thomas J Donohue; S Mahfuz Hoq; Kathy W Belk; Alpesh N Amin; Michael J Rothman
Journal:  Crit Care Explor       Date:  2021-04-05

3.  Do In-Hospital Rothman Index Scores Predict Postdischarge Adverse Events and Discharge Location After Total Knee Arthroplasty?

Authors:  Andrew D Kleven; Austin H Middleton; Ziynet Nesibe Kesimoglu; Isaac C Slagel; Ashley E Creager; Ryan Hanson; Serdar Bozdag; Adam I Edelstein
Journal:  J Arthroplasty       Date:  2021-12-22       Impact factor: 4.757

4.  Intermediate-dose anticoagulation, aspirin, and in-hospital mortality in COVID-19: a propensity score-matched analysis.

Authors:  Matthew L Meizlish; George Goshua; Yiwen Liu; Rebecca Fine; Kejal Amin; Eric Chang; Nicholas DeFilippo; Craig Keating; Yuxin Liu; Michael Mankbadi; Dayna McManus; Stephen Wang; Christina Price; Robert D Bona; Cassius Iyad Ochoa Chaar; Hyung J Chun; Alexander B Pine; Henry M Rinder; Jonathan Siner; Donna S Neuberg; Kent A Owusu; Alfred Ian Lee
Journal:  medRxiv       Date:  2021-01-15

5.  Transition From an Open to Closed Staffing Model in the Cardiac Intensive Care Unit Improves Clinical Outcomes.

Authors:  P Elliott Miller; Fouad Chouairi; Alexander Thomas; Yukiko Kunitomo; Faisal Aslam; Maureen E Canavan; Christa Murphy; Krishna Daggula; Thomas Metkus; Saraschandra Vallabhajosyula; Anthony Carnicelli; Jason N Katz; Nihar R Desai; Tariq Ahmad; Eric J Velazquez; Joseph Brennan
Journal:  J Am Heart Assoc       Date:  2021-01-08       Impact factor: 5.501

6.  Intermediate-dose anticoagulation, aspirin, and in-hospital mortality in COVID-19: A propensity score-matched analysis.

Authors:  Matthew L Meizlish; George Goshua; Yiwen Liu; Rebecca Fine; Kejal Amin; Eric Chang; Nicholas DeFilippo; Craig Keating; Yuxin Liu; Michael Mankbadi; Dayna McManus; Stephen Y Wang; Christina Price; Robert D Bona; Cassius Iyad Ochoa Chaar; Hyung J Chun; Alexander B Pine; Henry M Rinder; Jonathan M Siner; Donna S Neuberg; Kent A Owusu; Alfred Ian Lee
Journal:  Am J Hematol       Date:  2021-02-22       Impact factor: 10.047

7.  Evaluation of Clinical Predictors for Major Outcomes in Patients Hospitalized With COVID-19: The Potential Role of the Rothman Index.

Authors:  Diego Moguillansky; Omar M Sharaf; Phoebe Jin; Ronny Samra; Jaimie Bryan; Natalia I Moguillansky; Jorge Lascano; Juan N Kattan
Journal:  Cureus       Date:  2022-09-04
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.