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1 effect (nontargeted procedures also reducing readmissions).
2 related factors were the primary reasons for readmission.
3 orting greater than or equal to one hospital readmission.
4 entified as independent predictors of 30-day readmission.
5 rtery bypass surgery, and 3% died during the readmission.
6 s, reoperation, length of hospital stay, and readmission.
7 on, intra-abdominal abscess, reoperation, or readmission.
8 ing the primary reasons and risk factors for readmission.
9 xamine risk factors associated with repeated readmission.
10 management strategy was not associated with readmission.
11 the combined end point of death and hospital readmission.
12 pital quality may only partially account for readmission.
13 stay were strongly associated with all-cause readmission.
14 Demographic factors did not predict readmission.
15 iteria; 2687 (4.5%) experienced an unplanned readmission.
16 a lower risk of all-cause mortality, but not readmission.
17 The primary outcome was 30-day readmission.
18 6.6%) were the most common cardiac causes of readmission.
19 asive procedures, outpatient encounters, and readmissions.
20 early discharge practices without increasing readmissions.
21 pital stay, postoperative complications, and readmissions.
22 Part B spending, length of stay, and 30-day readmissions.
23 syndrome-related and all-cause 7- and 30-day readmissions.
24 c factors play important roles in predicting readmissions.
25 zation was not independently associated with readmissions.
26 early discharge is associated with increased readmissions.
27 n remain unexplored and are needed to reduce readmissions.
28 year to the same PICU; 3.4% had two or more readmissions.
29 harge mortality related to reducing hospital readmissions.
30 not result in higher-than-expected hospital readmissions.
31 de that had publically reported data on COPD readmissions.
32 nd mitigate potentially preventable post-PCI readmissions.
33 improve perioperative outcomes and decrease readmissions.
34 site end points are used for the analysis of readmissions.
35 tion between hospital TAVR volume and 30-day readmissions.
37 and hospital survival (hazard ratios: first readmission 0.88, second readmission 0.90, third readmis
38 azard ratios: first readmission 0.88, second readmission 0.90, third readmission 0.44; p > 0.05).
39 9 surgical readmissions (3.2%), and 4286 RTT readmissions (0.8%); 54.1% of readmissions were for surg
40 ), median length of stay (6 days vs 6 days), readmission (1.9% vs 3.1%), and return to the operating
42 (45 [2.0] vs 37 [1.6]; P = .23) and hospital readmissions (107 [4.9] vs 103 [4.4]; P = .42) were unch
43 tay (median: 8 vs 8.5 days; P = .31), 30-day readmission (22.4% vs 21.7%; P > .99), and 90-day mortal
45 ll-cause readmissions (5.9%), 16499 surgical readmissions (3.2%), and 4286 RTT readmissions (0.8%); 5
46 els using a ML approach to predict all-cause readmissions 30 days after discharge from a heart failur
47 lower rates of in-hospital mortality, 30-day readmission, 30-day mortality, and 1-year mortality.
49 14.4%; adjusted hazard ratio, 1.14; P=0.01), readmission (45.5% versus 42.1%; hazard ratio, 1.11; P<0
50 vs 19.4 hr; p < 0.01), cardiac surgical ICU readmissions (5.3% vs 1.6%; odds ratio, 0.31; 95% CI, 0.
54 positivity, permanent colostomy rate, 30-day readmission, 90-day mortality, and overall survival betw
55 ronic conditions was associated with earlier readmission (adjusted hazard ratio, 2.9 for one complex
64 ure of frailty, is associated with unplanned readmission among military veterans following surgery.
65 ith reduced short-term psychiatric inpatient readmissions among psychiatric inpatients with severe af
66 is study aimed to determine the incidence of readmission and factors affecting readmission in CLI pat
67 risk-adjusted measures of quality, including readmission and mortality rates for other conditions, an
68 ld have been substantially altered if 30-day readmission and mortality were considered equally import
69 n current use, and risk factors for surgical readmission and those resulting in return to theater (RT
72 ories had the highest rates of postdischarge readmissions and ED visits (14.4% and 16.3%, respectivel
73 ries identify populations at risk for 30-day readmissions and ED visits, and do not seem to be mediat
74 modeling approach that categorizes hospital readmissions and emergency department visits as separate
76 ent frailty, we found no association between readmissions and hospital survival (hazard ratios: first
77 ry, and imaging data with number of hospital readmissions and in-hospital days over the next 12 month
82 no correlation between hospital reduction in readmissions and use of observation-only admissions (Pea
83 -year adverse outcomes, including mortality, readmission, and bleeding, for patients with PAD compare
84 healthcare utilization (length of stay, 30-d readmission, and discharge destination) and cost (hospit
86 ings, the frequency and amount of physician, readmission, and postacute care payments were evaluated.
87 tivity, permanent ostomy rate, postoperative readmission, and postoperative mortality were also asses
88 hronic condition conferred a greater risk of readmission, and some had considerably higher risk than
89 fections caused by MDROs increase mortality, readmissions, and in some cases, visits to the emergency
91 ventilation, all-cause cardiac surgical ICU readmissions, and surgical postponements attributed to l
95 effect (future targeted procedures reducing readmission before payments implemented) and a spillover
96 ted time series model to assess the rates of readmission before the Hospital Readmission Reduction Pr
97 hospitals with higher than expected rates of readmission beginning in 2012 for targeted medical condi
98 raditional end points, such as mortality and readmission, but also emphasizes true patient-centered o
99 hyperglycemia was associated with increased readmission, but elevated preoperative HbA1c was not.
100 rivate insurance were least likely to have a readmission compared with Medicaid/no insurance and Medi
103 t improve prediction of 30-day heart failure readmissions compared with more traditional prediction m
104 -adherent therapy appears to result in fewer readmissions compared with non-guideline-adherent therap
106 thcare Cost and Utilization Project National Readmission Database encompassing 722 US hospitals was u
112 mpensated Heart Failure Reduce Mortality and Readmissions?) demonstrates that the guidance of HF ther
113 ic encephalopathy (HE) is a leading cause of readmission despite standard of care (SOC) associated wi
114 readmission differ from those for all-cause readmission despite the latter being the only measure in
115 nt-related risk factors for surgical and RTT readmission differ from those for all-cause readmission
116 eding was reported in 12 patients (7.1%) and readmission due to UGIB in 4 patients (2.4%) Oesophageal
118 ay mortality, major morbidity, and unplanned readmissions exist among adult (18-64 yr) and older adul
120 sociation between graft loss, mortality, and readmission for 2 periods: readmission hospitalization a
121 7), in-hospital mortality (p = 0.88), 30-day readmission for chronic obstructive pulmonary disease (p
122 dent increase in postdischarge ED visits and readmission for pain-related diagnoses, but not postdisc
124 stics, the hospitalization rates, and 30-day readmissions for 333,756 hospitalizations among 111,653
127 omplications and subsequent (within 5 years) readmissions for later postoperative complications, furt
128 ented financial penalties to reduce hospital readmissions for select conditions, including chronic ob
129 hasized the measurement of outcomes (such as readmission, health care-associated infections, and mort
130 included 30-day all-cause mortality, 30-day readmission, hospital length of stay, hospital cost, and
132 ng the timeline of risk, that is, during the readmission hospitalization versus periods postreadmissi
133 ted with graft loss and mortality during the readmission hospitalization, but also portends a lasting
135 , 1.59; 95% CI, 1.42-1.80), 30-day all-cause readmission (HR, 1.12; 95% CI, 1.01-1.25), and 1-year mo
136 I: 0.84 to 0.96; p = 0.002), but not with HF readmission (HR: 0.93; 95% CI: 0.85 to 1.01) or all-caus
138 y resection and total direct cost (including readmission/ileostomy closure hospitalizations) were sig
139 uding delayed graft function, early hospital readmission, immunosuppression intolerance, and mortalit
140 0.54-0.88; P = .002) but for other types of readmission, implant type had no significant association
141 ompare treatment failure leading to hospital readmission in children with complicated appendicitis wh
143 (DSM), unplanned reoperation, and unplanned readmission in concurrent versus non-concurrent operatio
144 mary diagnosis changed between admission and readmission in the majority of patients (60.2%) irrespec
146 day rates of complications, reoperation, and readmission in urgent cases compared with both elective
147 l: a composite of all-cause mortality and HF readmissions in 180 days and the number of days alive ou
150 made at developing models to predict 30-day readmissions in patients with heart failure, but none ha
151 harge cohorts had similar rates of unplanned readmissions, in-hospital mortality, and acute myocardia
153 The major predictors of 6-month unplanned readmissions included age, female sex, black/Hispanic ra
159 verall and major complications, </=18.0% for readmission, </=3.1% for positive resection margins, and
160 Medicare and Medicaid Services hospital-wide readmission measure cohort from July 2014 through June 2
162 ts that changing from the condition-specific readmission measures to a hospital-wide measure would ha
163 icy makers should consider these alternative readmission metrics in strategies for risk reduction and
165 21 113 (SD 16 881), 17 888 (52.5%) of 34 068 readmissions occurred within 30 days of discharge, and 1
166 d) was not associated with increased risk of readmission (odds ratio 1.12, 95% confidence interval 0.
167 ted with the likelihood of 6-month unplanned readmission (odds ratio for log-transformed length of st
168 adjusted rates 20% vs 16%; P = 0.023), more readmissions (odds ratio 1.57; 95% CI 1.08-2.29; adjuste
169 an 6.5% was associated with decreased 30-day readmissions (odds ratio, 0.85; 95% CI, 0.74-0.96; P = .
172 a lower risk for the combined endpoint of HF readmission or all-cause mortality (HR: 0.90; 95% CI: 0.
177 .28; 95% CI, 1.01-1.62) and increased 30-day readmission (OR, 1.30; 95% CI 1.04-1.62) following CEA.
179 , without an increase in rates of mortality, readmission, or episodes of suspected infection and susp
181 less than 1 (ie, superior combined mortality/readmission outcome) with an ERRAGG ratio greater than 1
182 ater than 1 (ie, inferior combined mortality/readmission outcome) with an ERRAGG ratio less than 1, a
183 vational studies that compared mortality and readmission outcomes between patients with ADHF achievin
184 Patients may experience multiple hospital readmissions over time with mortality acting as a depend
185 less than 1, and received minimal mean (SD) readmission penalties (0.08% [0.12%]; P < .001 for compa
186 reater than 1, and received higher mean (SD) readmission penalties (0.41% [0.28%] vs 0.29% [0.37%]; P
187 their components, including index, outlier, readmission, physician services, and postdischarge care.
188 consequences, including re-intubations, ICU readmissions, prolonged ICU and hospital stay, persisten
189 R, 0.96; 95% CI, 0.70-1.32; P = .81), 30-day readmission rate (OR, 0.92; 95% CI, 0.67-1.27; P = .62),
199 -performing quartile (absolute difference in readmission rate, 2.0 percentage points; 95% confidence
202 hospitals with the highest risk-standardized readmission rates (RSRRs) subsequently experienced the g
203 revascularization; 30-day risk-standardized readmission rates (RSRRs), calculated using hierarchical
205 imary outcomes of survival and heart failure readmission rates after ramp testing were assessed.
206 n 1 year apart, and we compared the observed readmission rates among patients who had been admitted t
207 ed hospital-level, risk-standardized, 30-day readmission rates among survivors of sepsis and compared
208 e were significant correlations between COPD readmission rates and all patient experience measures.
209 d the relationship between risk-standardized readmission rates and hospital-level composite measures
210 There were modest correlations between COPD readmission rates and readmission rates for other medica
211 rast, we found low correlations between COPD readmission rates and readmission rates for surgical con
212 tion in 30-day ischemic stroke mortality and readmission rates and the extent to which regional diffe
214 There were differences in risk-standardized readmission rates by region (Northeast, 30.4%; South, 29
216 To evaluate the influence of SDD on 30-day readmission rates following appendectomy for acute appen
217 nsfusion (3.4% vs 2.7%, P < .01), and 1-year readmission rates for myocardial infarction (3.3% vs 2.7
219 relations between COPD readmission rates and readmission rates for other medical conditions, includin
220 relations between COPD readmission rates and readmission rates for surgical conditions, as well as mo
222 that hospital quality contributes in part to readmission rates independent of factors involving patie
223 sociated with an increase in 30-day hospital readmission rates or wound complications when compared w
227 and all-cause (OR, 0.50; 95% CI, 0.39-0.64) readmission rates vs children who received other regimen
228 ck of effect of early discharge practices on readmission rates was observed for both minimally invasi
233 or pneumonia, reductions in hospital 30-day readmission rates were weakly but significantly correlat
234 Secondary outcomes were 30-day all-cause readmission rates, 30-day acute kidney injury, 30-day bl
241 significant differences in early discharge, readmissions, recurrent emergency department visits, out
242 To understand the impact of the Hospital Readmission Reduction Program on both future targeted an
243 the rates of readmission before the Hospital Readmission Reduction Program was announced (2008-2010),
246 s subject to the first cycle of the Hospital Readmissions Reduction Program between July 1, 2008, and
250 n risk than compatible controls, but a lower readmission risk after the first year than waitlist-only
251 of ECT was associated with a reduced 30-day readmission risk among psychiatric inpatients with sever
253 od; however, few studies have determined how readmission risk dynamically changes on a day-to-day bas
254 These findings of ILDKTs having a higher readmission risk than compatible controls, but a lower r
255 ischarge, (2) time required for the adjusted readmission risk to approach plateau periods of minimal
258 effect of patient-related factors on 30-day readmission risk was evaluated by multilevel logistic re
264 and hospitals facing financial penalties for readmission, there has never been a greater need to enfo
267 o determine the occurrence rate of unplanned readmissions to PICUs within 1 year and examine risk fac
268 ed results demonstrated robust morbidity and readmission trends between non-Hispanic Black and White
271 T administration with patient risk of 30-day readmission was estimated using observational, longitudi
274 To examine whether ECT's association with readmissions was heterogeneous across population subgrou
283 preventable causes, whereas younger patient readmissions were difficult to predict or prevent (AUC 0
285 % in high-volume hospitals), whereas cardiac readmissions were more common in high-volume hospitals (
287 or below age 65 revealed that older patient readmissions were more predictable (AUC 0.84) with more
288 5, 95% CI 1.15-1.83) were weak predictors of readmission, while any postoperative complications (OR 2
290 nction, mortality, reoperation, and hospital readmission, with estimated population attributable frac
291 lso had substantially higher risk for 30-day readmission, with the largest differences at younger age
293 SDD along with higher incidence of unplanned readmission within 30 days after PCI compared with insur
297 nt (10,233) of patients had 15,625 unplanned readmissions within 1 year to the same PICU; 3.4% had tw
298 ere (i) death within 30 days, (ii) unplanned readmissions within 30 days, (iii) long length of stay,
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