{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T18:49:22Z","timestamp":1773686962267,"version":"3.50.1"},"reference-count":17,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2017,12,20]],"date-time":"2017-12-20T00:00:00Z","timestamp":1513728000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Cardiovasc electrophysiol"],"published-print":{"date-parts":[[2018,3]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Introduction<\/jats:title><jats:p>Readmissions are a burden on health care resources and have negative impact on patients. Cardiovascular implantable electronic devices (CIEDs) are frequently used in the management of rhythm disorders and advanced heart failure. We assessed 30\u2010day readmissions in patients admitted for CIED implantation in a sample of United States patients.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Data were extracted from Nationwide Readmissions Database for calendar year 2013. Patients admitted for CIED implantation were identified using ICD\u20109 codes. Patients\u00a0&lt;18\u00a0years of age, with missing data, who died during hospitalization or discharged in December were excluded. Primary endpoint was all\u2010cause 30\u2010day readmission rate. Factors associated with 30\u2010day readmissions were identified and examined using multivariate logistic regression.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>We identified 320,783 admissions for CIED implantations. After applying exclusion criteria, 290,420 patients were included in final analysis, out of whom 45,467 (15.7%) patients were readmitted within 30\u00a0days. Readmitted patients were younger and had more comorbidities. Septicemia (5.1%), pneumonia (3.4%), CHF (2.35%), and paroxysmal ventricular tachycardia (2.3%) were common primary causes of 30\u2010day readmission. Young age, female gender, key comorbidities, weekend admissions, and admission to medium and large size hospital were independent predictors of 30\u2010day readmissions.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>In our study, 15.7% patients were readmitted within 30\u00a0days of an index admission for CIED implantation. Most readmissions were due to infectious or cardiovascular causes. There is a need to identify patients at risk for readmission to improve outcomes and curb the cost of care.<\/jats:p><\/jats:sec>","DOI":"10.1111\/jce.13396","type":"journal-article","created":{"date-parts":[[2017,11,29]],"date-time":"2017-11-29T16:44:55Z","timestamp":1511973895000},"page":"456-462","source":"Crossref","is-referenced-by-count":7,"title":["Causes and predictors of 30\u2010day readmission after cardiovascular implantable electronic devices implantation: Insights from Nationwide Readmissions Database"],"prefix":"10.1111","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4780-7971","authenticated-orcid":false,"given":"Shahzad","family":"Ahmad","sequence":"first","affiliation":[{"name":"Heart and Vascular Institute University of Pittsburgh Medical Center  Pittsburgh PA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad Bilal","family":"Munir","sequence":"additional","affiliation":[{"name":"Heart and Vascular Institute University of Pittsburgh Medical Center  Pittsburgh PA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael S.","family":"Sharbaugh","sequence":"additional","affiliation":[{"name":"Heart and Vascular Institute University of Pittsburgh Medical Center  Pittsburgh PA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrew D.","family":"Althouse","sequence":"additional","affiliation":[{"name":"Heart and Vascular Institute University of Pittsburgh Medical Center  Pittsburgh PA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deepak Kumar","family":"Pasupula","sequence":"additional","affiliation":[{"name":"Heart and Vascular Institute University of Pittsburgh Medical Center  Pittsburgh PA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Samir","family":"Saba","sequence":"additional","affiliation":[{"name":"Heart and Vascular Institute University of Pittsburgh Medical Center  Pittsburgh PA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2017,12,20]]},"reference":[{"key":"e_1_2_5_2_1","unstructured":"FingarK WashingtonR.Trends in hospital readmissions for four high\u2010volume conditions 2009\u20132013. HCUP Statistical Brief #196. November 2015. Agency for Healthcare Research and Quality Rockville MD.https:\/\/www.hcup-us.ahrq.gov\/reports\/statbriefs\/sb196-Readmissions-Trends-High-Volume-Conditions.jsp."},{"key":"e_1_2_5_3_1","unstructured":"HinesAL BarrettML JiangHJ SteinerCA.Conditions with the largest number of adult hospital readmissions by payer 2011. HCUP Statistical Brief #172. April 2014. 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