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"Predict readmission"

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https://www.readbyqxmd.com/read/28156510/predicting-hospital-readmissions-in-the-oncology-population
#1
Kristine A Donovan, Mary Turney, C Edward Emnett, Amber Lamoreaux, Diane G Portman
: 177 Background: The 30-day readmission rate is established as an important indicator of quality of care. The LACE index is commonly used in the general medical setting to predict readmission but its ability to predict readmission with sensitivity and specificity in the oncology population has not yet been examined. At our cancer center, palliative care (PC) consultation is associated with an increased risk for readmission but it is not an element in the LACE index. METHODS: We sought to characterize the operating characteristics of the LACE Index using receiver operating characteristics analyses to predict unplanned readmissions to our cancer center over a 6-week period beginning March 2016...
October 9, 2016: Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology
https://www.readbyqxmd.com/read/28093901/does-hospital-readmission-following-colorectal-cancer-resection-and-enhanced-recovery-after-surgery-impact-on-long-term-survival
#2
Nathan J Curtis, Emma Noble, Emad Salib, Rob Hipkiss, Emily Meachim, Richard Dalton, Andrew Allison, Jonathan Ockrim, Nader K Francis
BACKGROUND: Hospital readmission is undesirable for patients and care providers as this can impact short-term recovery and carries financial consequences. It is unknown if readmission has long term implications. AIM: To investigate the impact of thirty day readmission on long term overall survival following colorectal cancer resection within enhanced recovery after surgery (ERAS) care and explore the reasons, severity and details of readmission episodes. METHODS: A dedicated, prospectively populated database was reviewed...
January 17, 2017: Colorectal Disease: the Official Journal of the Association of Coloproctology of Great Britain and Ireland
https://www.readbyqxmd.com/read/28062207/cardiometabolic-biomarkers-are-predictors-of-readmission-and-death-in-patients-hospitalized-for-acute-dyspnea
#3
Nathalie Lund, Klas Gränsbo, Camilla Wernersson, Olle Melander
BACKGROUND: Acute dyspnea affects a large heterogeneous patient group with high mortality and readmission rates. PURPOSE: To investigate if cardiometabolic biomarkers and clinical characteristics predict readmission and death in patients hospitalized for acute dyspnea. METHODS: 65 dyspnea patients at a general internal medicine ward were followed for six months. The combined endpoint was readmission or death. MEASUREMENTS AND RESULTS: Cardiometabolic biomarkers at admission were related to the endpoint in Cox proportional hazard models (adjusted for sex, age, oxygen saturation, respiratory rate and C-reactive protein (CRP))...
December 22, 2016: American Journal of Emergency Medicine
https://www.readbyqxmd.com/read/28061831/acute-kidney-injury-as-an-independent-risk-factor-for-unplanned-90-day-hospital-readmissions
#4
Simon Sawhney, Angharad Marks, Nick Fluck, David J McLernon, Gordon J Prescott, Corri Black
BACKGROUND: Reducing readmissions is an international priority in healthcare. Acute kidney injury (AKI) is common, serious and also a global concern. This analysis evaluates AKI as a candidate risk factor for unplanned readmissions and determines the reasons for readmissions. METHODS: GLOMMS-II is a large population cohort from one health authority in Scotland, combining hospital episode data and complete serial biochemistry results through data-linkage. 16453 people (2623 with AKI and 13830 without AKI) from GLOMMS-II who survived an index hospital admission in 2003 were used to identify the causes of and predict readmissions...
January 6, 2017: BMC Nephrology
https://www.readbyqxmd.com/read/28029373/discharge-decision-making-after-complex-surgery-surgeon-behaviors-compared-to-predictive-modeling-to-reduce-surgical-readmissions
#5
Ira L Leeds, Vjollca Sadiraj, James C Cox, Xiaoxue Sherry Gao, Timothy M Pawlik, Kurt E Schnier, John F Sweeney
BACKGROUND: Little is known about how information available at discharge affects decision-making and its effect on readmission. We sought to define the association between information used for discharge and patients' subsequent risk of readmission. METHODS: 2009-2014 patients from a tertiary academic medical center's surgical services were analyzed using a time-to-event model to identify criteria that statistically explained the timing of discharges. The data were subsequently used to develop a time-varying prediction model of unplanned hospital readmissions...
October 20, 2016: American Journal of Surgery
https://www.readbyqxmd.com/read/28017214/stroke-severity-may-predict-causes-of-readmission-within-one-year-in-patients-with-first-ischemic-stroke-event
#6
Cheng-Yang Hsieh, Huey-Juan Lin, Ya-Han Hu, Sheng-Feng Sung
INTRODUCTION: Readmissions after stroke are costly. Risk assessment using information available upon admission could identify high-risk patients for potential interventions to reduce readmissions. Baseline stroke severity has been suspected to be a factor in readmission; however, the exact nature of the impact has not been adequately understood. METHODS: Hospitalized adult patients with first-ever ischemic stroke were identified from a nationwide administrative database...
January 15, 2017: Journal of the Neurological Sciences
https://www.readbyqxmd.com/read/28011244/predicting-readmission-risk-following-percutaneous-coronary-intervention-at-the-time-of-admission
#7
Zaher Fanari, Daniel Elliott, Carla A Russo, Paul Kolm, William S Weintraub
OBJECTIVE: To investigate whether a prediction model based on data available early in percutaneous coronary intervention (PCI) admission can predict the risk of readmission. BACKGROUND: Reducing readmissions following hospitalization is a national priority. Identifying patients at high risk for readmission after PCI early in a hospitalization would enable hospitals to enhance discharge planning. METHODS: We developed 3 different models to predict 30-day inpatient readmission to our institution for patients who underwent PCI between January 2010 and April 2013...
December 15, 2016: Cardiovascular Revascularization Medicine: Including Molecular Interventions
https://www.readbyqxmd.com/read/27993376/unplanned-readmission-after-lung-resection-complete-follow-up-in-a-1-year-cohort-with-identification-of-associated-risk-factors
#8
Karen J Dickinson, James B Taswell, Mark S Allen, Shanda H Blackmon, Francis C Nichols, Robert Shen, Dennis A Wigle, Stephen D Cassivi
BACKGROUND: Unplanned readmissions are adverse clinical events that negatively impact patients and affect the use of health care resources. Identifying risk factors that can predict readmissions might permit individualized patient management. We compiled a complete account of readmissions after all lung resections over a year to identify potentially modifiable risk factors. METHODS: All patients undergoing elective lung resection between August 1, 2013 and July 31, 2014 were contacted directly to determine whether they had been readmitted to any institution within 30 days of discharge from our service...
December 16, 2016: Annals of Thoracic Surgery
https://www.readbyqxmd.com/read/27986079/pre-discharge-factors-predicting-readmissions-of-psychiatric-patients-a-systematic-review-of-the-literature
#9
V Donisi, F Tedeschi, K Wahlbeck, P Haaramo, F Amaddeo
BACKGROUND: Readmission rate is considered an indicator of the mental health care quality. Previous studies have examined a number of factors that are likely to influence readmission. The main objective of this systematic review is to identify the studied pre-discharge variables and describe their relevance to readmission among psychiatric patients. METHODS: Studies on the association between pre-discharge variables and readmission after discharge with a main psychiatric diagnosis were searched in the bibliographic databases Ovid Medline, PsycINFO, ProQuest Health Management and OpenGrey...
December 16, 2016: BMC Psychiatry
https://www.readbyqxmd.com/read/27956070/rates-and-risk-factors-of-unplanned-30-day-readmission-following-general-and-thoracic-pediatric-surgical-procedures
#10
Stephanie F Polites, Donald D Potter, Amy E Glasgow, Denise B Klinkner, Christopher R Moir, Michael B Ishitani, Elizabeth B Habermann
BACKGROUND/PURPOSE: Postoperative unplanned readmissions are costly and decrease patient satisfaction; however, little is known about this complication in pediatric surgery. The purpose of this study was to determine rates and predictors of unplanned readmission in a multi-institutional cohort of pediatric surgical patients. METHODS: Unplanned 30-day readmissions following general and thoracic surgical procedures in children <18 were identified from the 2012-2014 National Surgical Quality Improvement Program- Pediatric...
December 7, 2016: Journal of Pediatric Surgery
https://www.readbyqxmd.com/read/27939586/use-of-biomarkers-to-predict-readmission-for-congestive-heart-failure
#11
Sangita Sudharshan, Eric Novak, Karl Hock, Mitchell G Scott, Edward M Geltman
Acute decompensated heart failure (ADHF) is a major reason for repeated hospitalizations. Identifying those patients with ADHF at risk for readmission is critical so that preventive interventions can be implemented. Biomarkers such as B-type natriuretic peptide (BNP), high-sensitivity troponin I, and galectin-3 (Gal-3) assessed at discharge may be useful, although their role in predicting short-term readmission is not well defined in the literature. We enrolled and had follow-up data for 101 participants admitted to our facility from April 2013 to March 2015 with a primary diagnosis of ADHF...
February 1, 2017: American Journal of Cardiology
https://www.readbyqxmd.com/read/27933194/contribution-of-the-long-term-care-insurance-certificate-for-predicting-1-year-all-cause-readmission-compared-with-validated-risk-scores-in-elderly-patients-with-heart-failure
#12
Kayo Takahashi, Makoto Saito, Shinji Inaba, Toru Morofuji, Hiroe Aisu, Takumi Sumimoto, Akiyoshi Ogimoto, Shuntaro Ikeda, Jitsuo Higaki
OBJECTIVES: Readmission is a common and serious problem associated with heart failure (HF). Unfortunately, conventional risk models have limited predictive value for predicting readmission. The recipients of long-term care insurance (LTCI) are frail and have mental and physical impairments. We hypothesised that adjustment of the conventional risk score with an LTCI certificate enables a more accurate appreciation of readmission for HF. METHODS: We investigated 452 patients with HF who were followed up for 1 year to determine all-cause readmission...
2016: Open Heart
https://www.readbyqxmd.com/read/27896982/predictive-modeling-of-hospital-readmission-rates-using-electronic-medical-record-wide-machine-learning-a-case-study-using-mount-sinai-heart-failure-cohort
#13
Khader Shameer, Kipp W Johnson, Alexandre Yahi, Riccardo Miotto, L I Li, Doran Ricks, Jebakumar Jebakaran, Patricia Kovatch, Partho P Sengupta, Sengupta Gelijns, Alan Moskovitz, Bruce Darrow, David L David, Andrew Kasarskis, Nicholas P Tatonetti, Sean Pinney, Joel T Dudley
Reduction of preventable hospital readmissions that result from chronic or acute conditions like stroke, heart failure, myocardial infarction and pneumonia remains a significant challenge for improving the outcomes and decreasing the cost of healthcare delivery in the United States. Patient readmission rates are relatively high for conditions like heart failure (HF) despite the implementation of high-quality healthcare delivery operation guidelines created by regulatory authorities. Multiple predictive models are currently available to evaluate potential 30-day readmission rates of patients...
2016: Pacific Symposium on Biocomputing
https://www.readbyqxmd.com/read/27896949/sarcopenia-predicts-readmission-and-mortality-in-elderly-patients-in-acute-care-wards-a-prospective-study
#14
Ming Yang, Xiaoyi Hu, Haozhong Wang, Lei Zhang, Qiukui Hao, Birong Dong
OBJECTIVES: The aim of this study is to assess the prevalence of sarcopenia and investigate the associations between sarcopenia and long-term mortality and readmission in a population of elderly inpatients in acute care wards. METHODS: We conducted a prospective observational study in the acute care wards of a teaching hospital in western China. The muscle mass was estimated according to a previously validated anthropometric equation. Handgrip strength was measured with a handheld dynamometer, and physical performance was measured via a 4 m walking test...
November 28, 2016: Journal of Cachexia, Sarcopenia and Muscle
https://www.readbyqxmd.com/read/27881180/polypharmacy-and-adverse-outcomes-after-hip-fracture-surgery
#15
Maria Härstedt, Cecilia Rogmark, Richard Sutton, Olle Melander, Artur Fedorowski
BACKGROUND: We aimed to explore the effects of polypharmacy and specific drug classes on readmissions and mortality after hip surgery. METHODS: We analyzed data on 272 consecutive hip fracture patients (72.1% females; age 82 ± 9 years) who underwent acute hip replacement. We collected detailed data on the pharmacological treatment upon admission and discharge. Patients were followed up over a period of 6 months after discharge using the Swedish National Hospital Discharge Register and the Swedish National Cause of Death Register...
November 24, 2016: Journal of Orthopaedic Surgery and Research
https://www.readbyqxmd.com/read/27868217/chronic-opioid-use-is-associated-with-altered-gut-microbiota-and-predicts-readmissions-in-patients-with-cirrhosis
#16
C Acharya, N S Betrapally, P M Gillevet, R K Sterling, H Akbarali, M B White, D Ganapathy, A Fagan, M Sikaroodi, J S Bajaj
BACKGROUND: Opioid use is epidemic in cirrhosis, which could precipitate hepatic encephalopathy (HE) potentially through gut dysbiosis and inflammation. AIM: To define the effect of opioids on readmissions and on gut microbiota composition and functionality. METHODS: Cohort 1 had 200 cirrhotic in-patients (with/without opioid use) followed prospectively through the index hospitalisation and 6 months post discharge. Readmissions (HE-related/unrelated) were compared between patients discharged on opioids compared to the rest, including using a multi-variable analysis...
January 2017: Alimentary Pharmacology & Therapeutics
https://www.readbyqxmd.com/read/27866747/predicting-readmission-risk-following-coronary-artery-bypass-surgery-at-the-time-of-admission
#17
Zaher Fanari, Daniel Elliott, Carla A Russo, Paul Kolm, William S Weintraub
BACKGROUND: Reducing readmissions following hospitalization is a national priority. Identifying patients at high risk for readmission after coronary artery bypass graft surgery (CABG) early in a hospitalization would enable hospitals to enhance discharge planning. METHODS: We developed different models to predict 30-day inpatient readmission to our institution in patients who underwent CABG between January 2010 and April 2013. These models used data available: 1) at admission, 2) at discharge 3) from STS Registry data...
October 29, 2016: Cardiovascular Revascularization Medicine: Including Molecular Interventions
https://www.readbyqxmd.com/read/27789360/readmissions-after-umbilical-cord-blood-transplantation-and-impact-on-overall-survival
#18
Jennifer Crombie, Laura Spring, Shuli Li, Robert J Soiffer, Joseph H Antin, Edwin P Alyea, Brett Glotzbecker
Patients treated with allogeneic hematopoietic stem cell transplantation (SCT) have high rates of readmission, but the incidence after umbilical cord blood transplantation (UCBT) is poorly described. The goal of this study was to identify the incidence and risk factors for readmission after UCBT and the impact of readmission on overall survival (OS). A retrospective review of patients receiving a UCBT at Dana-Farber/Brigham and Women's Hospital between January 1, 2004 and December 31, 2013 was performed. The readmission rates 30 days after discharge from the UCBT admission and at day +100 after the UCBT were examined...
January 2017: Biology of Blood and Marrow Transplantation
https://www.readbyqxmd.com/read/27759745/can-we-predict-acute-medical-readmissions-using-the-boost-tool-a-retrospective-case-note-review
#19
Geraldine A Lee, Daniel Freedman, Penelope Beddoes, Emily Lyness, Imogen Nixon, Vivek Srivastava
BACKGROUND: Readmissions within 30-days of hospital discharge are a problem. The aim was to determine if the Better Outcomes for Older Adults through Safe Transitions (BOOST) risk assessment tool was applicable within the UK. METHODS: Patients over 65 readmitted were identified retrospectively via a casenote review. BOOST assessment was applied with 1 point for each risk factor. RESULTS: 324 patients were readmitted (mean age 77 years) with a median of 7 days between discharge and readmission...
2016: Acute Medicine
https://www.readbyqxmd.com/read/27755391/predicting-readmission-at-early-hospitalization-using-electronic-clinical-data-an-early-readmission-risk-score
#20
Ying P Tabak, Xiaowu Sun, Carlos M Nunez, Vikas Gupta, Richard S Johannes
BACKGROUND: Identifying patients at high risk for readmission early during hospitalization may aid efforts in reducing readmissions. We sought to develop an early readmission risk predictive model using automated clinical data available at hospital admission. METHODS: We developed an early readmission risk model using a derivation cohort and validated the model with a validation cohort. We used a published Acute Laboratory Risk of Mortality Score as an aggregated measure of clinical severity at admission and the number of hospital discharges in the previous 90 days as a measure of disease progression...
March 2017: Medical Care
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