{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T18:50:22Z","timestamp":1774983022309,"version":"3.50.1"},"reference-count":22,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2020,12,2]],"date-time":"2020-12-02T00:00:00Z","timestamp":1606867200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Evaluation Clinical Practice"],"published-print":{"date-parts":[[2021,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>There are various models attempting to predict 30\u2010day readmissions of acutely admitted internal medicine patients. However, it is uncertain how to create a parsimonious index that has equivalent predictive ability and can be extrapolated to other settings.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We developed a regression equation to predict 30\u2010day readmissions from all acute hospitalizations in internal medicine departments in a regional hospital in 2015\u20102016 and validated the model in 2019. The independent (predictor) variables were age, past hospitalizations, admission laboratory test results, length of stay in hospital and discharge diagnoses. We compared the predictive value of a logistic regression model and index that included discharge diagnoses and admission laboratory test results with one that included only age, past hospitalizations, and hospital length of stay.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Readmission rates were associated with age, time since last hospitalization, number of previous hospitalizations, and length of stay, as well as with a diagnosis of chronic obstructive lung disease and congestive heart failure and several laboratory data. Logistic regressions of the independent variables for 30\u2010day readmission rates were similar in 2015\u20102016 and 2019. An index was derived from number of previous admissions to hospitals, time since last admission, age, and length of stay. In 2019, for every unit of the index, the odds of readmission increased by 1.33 (95% CI\u2010 1.30\u20101.37), and ranged from 2.1% to 37.1%. Addition of discharge diagnoses and laboratory variables did not significantly improve the risk differentiation of the index. The c\u2010statistic for the final parsimonious model was 0.704.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>An index derived from the number of previous hospital admissions, days since last admission, age, and length of stay in days differentiated between the risks of readmission within 30\u2009days without the need for discharge diagnosis and laboratory variables.<\/jats:p><\/jats:sec>","DOI":"10.1111\/jep.13516","type":"journal-article","created":{"date-parts":[[2020,12,3]],"date-time":"2020-12-03T06:32:40Z","timestamp":1606977160000},"page":"942-948","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["A simple index predicting 30\u2010day readmissions in acutely hospitalized patients"],"prefix":"10.1111","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5126-8590","authenticated-orcid":false,"given":"Paul","family":"Froom","sequence":"first","affiliation":[{"name":"Clinical Utility Department Sanz Medical Center, Laniado Hospital  Netanya Israel"},{"name":"School of Public Health University of Tel Aviv  Tel Aviv Israel"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zvi","family":"Shimoni","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine B Laniado Hospital  Netanya Israel"},{"name":"Ruth and Bruce Rappaport School of Medicine Technion  Haifa Israel"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jochanan","family":"Benbassat","sequence":"additional","affiliation":[{"name":"Hebrew University \u2013 Hadassah Faculty of Medicine  Jerusalem Israel"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2020,12,2]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11606-012-2229-8"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11606-018-4748-4"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMsa1513024"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1136\/bmjopen-2016-011060"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.m958"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1111\/jep.12012"},{"key":"e_1_2_7_8_1","first-page":"90","article-title":"LACE+ index: extension of a validated index to predict early death or urgent readmission after hospital discharge using administrative data","volume":"6","author":"Van Walraven C","year":"2012","journal-title":"Open Med"},{"key":"e_1_2_7_9_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamainternmed.2013.3023"},{"key":"e_1_2_7_10_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamainternmed.2015.8462"},{"key":"e_1_2_7_11_1","doi-asserted-by":"publisher","DOI":"10.1097\/MLR.0000000000000315"},{"key":"e_1_2_7_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10096-019-03583-2"},{"key":"e_1_2_7_13_1","doi-asserted-by":"publisher","DOI":"10.1002\/jgf2.31"},{"issue":"5","key":"e_1_2_7_14_1","first-page":"e8297","article-title":"Prognostic significance of diastolic dysfunction with multiple comorbidities in heart failure patients","volume":"12","author":"Mann B","year":"2020","journal-title":"Cureus"},{"key":"e_1_2_7_15_1","unstructured":"ArnoldDM CukerA. Approach to the adult with unexplained thrombocytopenia Uptodate.https:\/\/www.uptodate.com\/contents\/approach-to-the-adult-with-unexplained-thrombocytopenia. August 2020. 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