{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T11:44:38Z","timestamp":1774957478774,"version":"3.50.1"},"reference-count":24,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"9","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2016,9]]},"abstract":"<jats:sec xml:lang=\"en\">\n            <jats:title>Background<\/jats:title>\n            <jats:p xml:lang=\"en\">\n              Although models exist for predicting hospital readmission after coronary artery bypass surgery, no such models exist for predicting readmission after heart valve surgery (\n              <jats:styled-content style=\"fixed-case\">HVS<\/jats:styled-content>\n              ).\n            <\/jats:p>\n          <\/jats:sec>\n          <jats:sec xml:lang=\"en\">\n            <jats:title>Methods and Results<\/jats:title>\n            <jats:p xml:lang=\"en\">\n              Using a geographically and structurally diverse sample of US hospitals (Premier Inpatient Database, January 2007\u2013June 2011), we examined patient, hospital, and clinical factors predictive of short\u2010 and medium\u2010term hospital readmission post\u2010\n              <jats:styled-content style=\"fixed-case\">HVS<\/jats:styled-content>\n              . We set aside 20% of hospitals for model validation. A generalized estimating equation\u00a0model accounted for clustering within hospitals. At 219 hospitals, we identified 38\u00a0532 patients (67\u00a0years, 56% male, 62% aortic valve surgery) who underwent\n              <jats:styled-content style=\"fixed-case\">HVS<\/jats:styled-content>\n              . A total of 3125 (7.8%) and 4943 (12.8%) patients were readmitted to the index hospital within 1 and 3\u00a0months, respectively. Our 3\u2010month model predicted readmission rates between 3% and 61% with fair discrimination (C\u2010statistic, 0.67) and good calibration (predicted vs observed differences in validation cohort averaged 1.9% across all deciles of predicted readmission risk). Results were similar for our 1\u2010month model and our simplified 3\u2010month model (suitable for clinical use), which used the 5 strongest predictors of readmission: transfused units of packed Red blood cells, presence of End\u2010stage renal disease, type of Valve surgery, Emergency hospital admission, and hospital Length of stay (\n              <jats:styled-content style=\"fixed-case\">REVE<\/jats:styled-content>\n              aL).\n            <\/jats:p>\n          <\/jats:sec>\n          <jats:sec xml:lang=\"en\">\n            <jats:title>Conclusions<\/jats:title>\n            <jats:p xml:lang=\"en\">\n              We described and validated key factors that predict short\u2010 and medium\u2010term hospital readmission post\u2010\n              <jats:styled-content style=\"fixed-case\">HVS<\/jats:styled-content>\n              . These models should enable clinicians to identify individuals with\n              <jats:styled-content style=\"fixed-case\">HVS<\/jats:styled-content>\n              who are at increased risk for hospital readmission and are most likely to benefit from improved postdischarge care and follow\u2010up.\n            <\/jats:p>\n          <\/jats:sec>","DOI":"10.1161\/jaha.116.003544","type":"journal-article","created":{"date-parts":[[2016,9,1]],"date-time":"2016-09-01T02:39:45Z","timestamp":1472697585000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":18,"title":["Development and Validation of a Predictive Model for Short\u2010 and Medium\u2010Term Hospital Readmission Following Heart Valve Surgery"],"prefix":"10.1161","volume":"5","author":[{"given":"Quinn R.","family":"Pack","sequence":"first","affiliation":[{"name":"Division of Cardiovascular Medicine, Baystate Medical Center, Springfield, MA"},{"name":"Department of Internal Medicine, Baystate Medical Center, Springfield, MA"},{"name":"Center for Quality of Care Research, Baystate Medical Center, Springfield, MA"},{"name":"Tufts University School of Medicine, Boston, MA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aruna","family":"Priya","sequence":"additional","affiliation":[{"name":"Center for Quality of Care Research, Baystate Medical Center, Springfield, MA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tara","family":"Lagu","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, Baystate Medical Center, Springfield, MA"},{"name":"Center for Quality of Care Research, Baystate Medical Center, Springfield, MA"},{"name":"Tufts University School of Medicine, Boston, MA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Penelope S.","family":"Pekow","sequence":"additional","affiliation":[{"name":"Center for Quality of Care Research, Baystate Medical Center, Springfield, MA"},{"name":"School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Richard","family":"Engelman","sequence":"additional","affiliation":[{"name":"Department of Surgery, Baystate Medical Center, Springfield, MA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David M.","family":"Kent","sequence":"additional","affiliation":[{"name":"Tufts University School of Medicine, Boston, MA"},{"name":"Predictive Analytics and Comparative Effectiveness (PACE) Center, Institute for Clinical Research and Health Policy Studies (ICRHPS), Tufts Medical Center, Boston, MA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter K.","family":"Lindenauer","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, Baystate Medical Center, Springfield, MA"},{"name":"Center for Quality of Care Research, Baystate Medical Center, Springfield, MA"},{"name":"Tufts University School of Medicine, Boston, MA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"276","reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2012.08.1022"},{"key":"e_1_3_3_3_2","volume-title":"Patient Protection and Affordable Care Act. 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