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1 ion, thromboembolic event, hemodialysis, and readmission).
2 n is associated with a higher rate of 30-day readmission.
3 and the composite of all-cause mortality or readmission.
4 ssociated with a higher likelihood of 30-day readmission.
5 ed were death and the composite of death and readmission.
6 s also associated with higher odds of 30-day readmission.
7 ns being the most common intervention during readmission.
8 ere was no significant difference for 30-day readmission.
9 likelihood of 30-day postoperative unplanned readmission.
10 ation, reintervention, early extubation, and readmission.
11 -day mortality, surgical site infection, and readmission.
12 stay > 10 days were the predictors of 30-day readmission.
13 , percutaneous drainage, length of stay, and readmission.
14 ncreased likelihood of an inpatient hospital readmission.
15 was from postacute care spending followed by readmission.
16 ociated with the risk-adjusted likelihood of readmission.
17 .523 for serious complication, and 0.559 for readmission.
18 sion) identified patients at high risk of HF readmission.
19 er, and not higher, rate of 30-day unplanned readmission.
20 remained significantly associated with fewer readmissions.
21 d health-related quality of life and reduces readmissions.
22 ions, ED visits, post-acute utilization, and readmissions.
23 ly lower 1-year all-cause and cardiovascular readmissions.
24 days post-TAVR), and 17 (2.3%) had multiple readmissions.
25 ileus, and shorter hospital stays with fewer readmissions.
26 no significant change in mortality or 90-day readmissions.
27 ency department visits, and 90-day unplanned readmissions.
28 ernal and fetal outcomes, and cardiovascular readmissions.
29 isit communication was associated with fewer readmissions.
30 significant risk factor for adhesion-related readmissions.
31 , .38-.86) were both associated with reduced readmissions.
32 (LOS), emergency department (ED) visits, and readmissions.
33 I, .18-.67) was associated with lower 90-day readmissions.
34 tly associated with risk of adhesion-related readmissions.
35 ry reduces the incidence of adhesion-related readmissions.
36 plications and severity, length of stay, and readmissions.
37 The program did not change trend in 30-day readmission (+0.19% readmissions/mo, P=0.554) and trend
39 n repair patients had higher rates of 90-day readmission (12.9% EVR versus 17.8% open; P<0.001) and a
40 2.1% [95% CI, -15.5% to 19.8%]), unscheduled readmission (14.3% vs 15.7%; adjusted difference, -1.3%
42 telephone, 10.6% clinic, P=0.11), all-cause readmission (18.8% telephone, 20.6% clinic, P=0.30), and
43 o, 0.91 [95% CI, 0.88-0.95]), cardiovascular readmission (19.7% versus 22.9%; hazard ratio, 0.85 [95%
44 ts not experiencing a complication or 30-day readmission (1923/2573, 74.7%), low-value hospitals had
45 -value hospitals (P<0.001), driven by higher readmission ($3675 versus $2177, P=0.005), professional
46 : stroke was associated with lower all-cause readmission (40.4% versus 44.1%; hazard ratio, 0.91 [95%
47 1.11 [95% CI, 1.07-1.14]), higher all-cause readmission (41.3% vs 39.1%; adjusted HR, 1.07 [95% CI,
48 argest components of spending variation were readmissions (44% of variation, or $2043 per episode), p
51 9]), and composite of all-cause mortality or readmission (56.0% versus 58.4%; hazard ratio, 0.96 [95%
52 04-1.10]), and higher all-cause mortality or readmission (56.8% vs 53.1%; adjusted HR, 1.08 [95% CI,
53 nificant differences in 30-day heart failure readmission (8.6% telephone, 10.6% clinic, P=0.11), all-
54 ant patients experienced higher incidence of readmissions (8.0% vs 3.5%), surgical complications (5.0
55 associated with initial reduction in 30-day readmission (-9.8%, P=0.0002) and 30-day mortality (-2.6
56 .01-1.03), and higher all-cause mortality or readmission (adjusted HR, 1.02 [95% CI, 1.01-1.03]).
57 1.01 [95% CI, 0.99-1.03]), higher all-cause readmission (adjusted HR, 1.02; 95% CI, 1.01-1.03), and
58 d HR, 1.39 [95% CI, 1.23-1.56]) and hospital readmission (adjusted HR, 1.19 [95% CI, 1.11-1.27]) at 1
59 n group had reduced odds of 90-day all-cause readmission (adjusted odds ratio, 0.2; 95% confidence in
60 ion between prior opioid exposure and 30-day readmissions, adjusted for patient risk factors and proc
63 or acute myocardial infarction [AMI], 30-day readmission after AMI, and 30-day mortality after AMI) w
70 rtion of spending attributable to admission, readmission, ambulatory or emergency care; monthly spend
71 We developed a predictive model of 30-day readmission among hospitalized patients discharged on OP
73 dy was to characterize frequency of hospital readmissions among patients hospitalized with laboratory
74 as utilized clinical information to forecast readmissions, analyzing digital footprints from social m
75 We estimated the relative risk of 30-day readmission and 30-day mortality following an index hosp
78 which malaria is endemic have a high risk of readmission and death within 6 months after discharge.
81 s designed to examine the temporal trends of readmission and mortality after AMI and HF in Ontario, C
82 hospitals, is associated with postdischarge readmission and mortality outcomes, and meaningfully rec
83 trointestinal bleeding, pump thrombosis, and readmission and reduced hazards for cardiac transplantat
92 r primary aim was to study the rate of early readmissions and its predictors in liver transplant reci
94 ironment modifies the disparity in 30-day HF readmissions and mortality between Black and White patie
99 ency department, observation stay, inpatient readmission) and their associated lengths of stay within
100 d Services (CMS) SEP-1 BCx component, 30-day readmission, and all-cause in-hospital and 30-day mortal
104 s were 1-year all-cause mortality, all-cause readmission, and the composite of all-cause mortality or
105 inpatient admission; discharges, transfers, readmissions, and deaths (trajectories) for 6 months fol
106 over time, less likely to experience 30-day readmissions, and had lower mortality (adjusted hazard r
110 diverge for HF. For AMI and HF, admissions, readmissions, and mortality rates declined over this per
113 utcomes for the PVI arm: fewer ED visits and readmissions, and shorter initial and total 30-day LOS.
114 everity of illness at ICU admission, and ICU readmission are associated with increased risk of early
121 atabase (NRD) to identify patterns of 30-day readmission by patient demographic characteristics and t
122 , 95% CI 0.60-0.77), and of possibly related readmissions by 11% (HR 0.89, 0.85-0.94) compared with o
123 roscopy reduced the risk of directly related readmissions by 32% (hazard ratio [HR] 0.68, 95% CI 0.60
126 IRR: 0.14; 95% CI: 0.05-0.37; P < .001), and readmission charges (IRR: 0.11; 95% CI: 0.03-0.46; P = .
128 a decrease in average proportion of patient readmissions compared to patients discharged on median d
129 d with the best performance and lower 30-day readmissions compared with subspecialty consultation wit
130 information on readmission diagnoses, total readmission costs and factors associated with readmissio
131 e to determine the trends of LT, reasons for readmission, costs and predictors of calendar year morta
132 ntemporary, nationally representative 30-day readmissions data after carotid artery stenting (CAS) an
135 Hospital-level clustering and Nationwide Readmissions Database sampling weights were applied to a
141 We estimated the percentage and most common readmission diagnoses for 30-day and 7-day readmissions
145 utcome measure was the incidence of hospital readmissions directly related to adhesions in the laparo
146 ms were to examine ERP effect on LOS, 30-day readmission, discharge disposition, and complications.
153 ular events (MACE), all-cause mortality, and readmission for cardiovascular (CV) causes at 3 years' f
154 plications, in-hospital mortality and 30-day readmission for HFrEF compared to HFpEF patients were 1.
158 dhesions, possibly related to adhesions, and readmissions for an operation that was potentially compl
159 t for severe anemia prevented more deaths or readmissions for any reason after discharge than placebo
160 The primary outcome was one or more hospital readmissions for any reason or death from the time of ra
161 -day readmission rate was 2% and the rate of readmission from 30 to 90 days postpartum was 4.6%.
163 Overall, 53 patients (7.1%) experienced late readmissions (>30 days post-TAVR), and 17 (2.3%) had mul
164 propensity matching, patients with non-index readmission had higher rates of FTR (5.6% vs. 4.3%; p <
167 ly associated with both incident MACE and CV readmission (hazard ratio [HR]: 0.76; 95% confidence int
168 ons (hazard ratio, 2.25; p < 0.001), and ICU readmission (hazard ratio, 3.76; p < 0.001) as risk fact
169 per 1% increase, 1.010; p < 0.001), and ICU readmission (hazard ratios, 4.10, 4.17, and 1.82 for dea
170 mia, SA children with BWF had higher risk of readmissions (hazard ratio [HR], 1.68; 95% confidence in
171 R, 1.90 [95% CI, 1.30-2.78]) and multiple HF readmissions (HR, 2.10 [95% CI,1.17-3.76]) were signific
174 Strategies should be implemented to reduce readmission in patients with high risk of readmission id
175 ernal and fetal outcomes, and cardiovascular readmissions in a cohort of pregnant women with underlyi
177 yses, monitoring was associated with reduced readmissions (incidence rate ratio [IRR]: 0.56; 95% conf
179 care within 30 days of discharge or prior to readmission, including 52% of patients visiting the OPAT
180 to hospital ward and are associated with ICU readmission, increased hospital length of stay and death
181 3 days), but the average number of unplanned readmission inpatient days was 2.0 for SAVR, 3.0 for TAV
182 nts of 90-day episode spending variation are readmissions, inpatient professional fees, and post-acut
183 oring was associated with lower incidence of readmission (IRR: 0.38; 95% CI: 0.23-0.63; P < .001), da
186 eadmission costs and factors associated with readmission is required to effectively plan resource all
188 rt (n=22 214; 8.4% versus 7.9%, P=0.20), and readmission length of stay was longer for CEA than CAS (
189 pioid exposures were predictive of all-cause readmissions (low: OR 1.09, 95% CI: 1.06-1.12); high: OR
190 2, 95% CI=1.53-1.71] and respiratory-related readmissions [low: aOR=1.10, 95% CI=1.05-1.16; high: aOR
191 associated with higher risk of pain-related readmissions [low: aOR=1.27, 95% CI=1.23-1.32; high: aOR
192 scharge hospital use, rather than the 30-day readmission measure to evaluate health care system perfo
194 t change trend in 30-day readmission (+0.19% readmissions/mo, P=0.554) and trend in 30-day mortality
201 n remained a significant predictor of 30-day readmission (odds ratio, 1.640 [95% CI, 1.603-1.677], P<
202 ce interval 2.08-4.34), P < 0.01] and 30-day readmissions [odds ratio 1.61 (confidence interval % CI
203 his report describes short-term outcomes and readmissions of patients undergoing HH repair at our ins
204 e (PPH), bile leak, blood loss, reoperation, readmission, oncologic outcomes (R0-resection, lymph nod
206 3 through week 26, a total of 184 events of readmission or death occurred in the chemoprevention gro
208 eenness was not associated with any delay in readmission or mortality among AMI and HF patients.
211 ismissal group, there were no differences in readmissions or emergency room visits at 30 or 90 days.
213 inate the Black excess in combined 30-day HF readmissions or mortality in any of the neighborhood qua
215 96, 95% confidence interval (CI) 0.92-0.99], readmission (OR 0.96, 95% CI 0.93-0.99), and reoperation
216 ty [odds ratio (OR) 1.2, P = 0.004], but not readmission (OR 1.1, P = 0.48) or LOS (incidence rate ra
218 , reoperation [OR, 0.65 (95% CI, 0.42-1.0)], readmission [OR, 0.82 (95% CI, 0.57-1.2)], and length of
219 LOS, POPF, DGE, PPH, bile leak, reoperation, readmission, or oncologic outcomes between LPD and OPD.
224 yments related to the index hospitalization, readmissions, physician services, and postacute care.
225 k-adjusted 30-day home time had lower 30-day readmission (quartile 1 versus 4, 21% versus 17%), 30-da
226 gth of stay (6.5 versus 3.2 days, P < 0.01), readmission rate (29.1% vs 3.1%, P < 0.01), and discharg
227 The utility of 30-day risk-standardized readmission rate (RSRR) as a hospital performance metric
229 nding hospitals had an average risk-adjusted readmission rate of 17.3% compared to 29.4% in the highe
237 no significant differential change in 30-day readmission rates (-0.10 percentage points; 95% CI, -0.5
245 stay was 4 days shorter and 30-day hospital readmission rates were 48% lower in the exebacase-treate
248 with very high use of health care services, readmission rates were not lower among patients randomly
249 ay-case care bundles to reduce high hospital readmission rates with greater care in the community is
250 ary family caregivers, and assess mortality, readmission rates, and economic impact compared with usu
255 ission were neurological and cardiac events; readmission reasons varied by revascularization modality
256 emote monitoring may be useful in preventing readmissions, reducing subsequent inpatient days, and co
261 ut potential adverse effects and efficacious readmission-reduction strategies are not well validated.
263 ted appendicitis, return to baseline health, readmission, reoperation, unplanned appendectomy, advers
264 ient mortality or live discharge, and 30-day readmission risk using bivariable Poisson, Fine-Gray, an
267 y total spending on LEJR episodes and 90-day readmissions; secondary outcomes were postacute spending
270 an inform potential interventions to prevent readmissions through OPAT clinic follow-up and to furthe
273 tient outcomes including hospital mortality, readmission to ICU, and length of hospital stay after IC
280 association between quality performance and readmissions was sensitive to changes in methodology but
281 ositive predictive values for 30- and 90-day readmission were 14.8% and 26.2%, respectively, and nega
285 acteristics, contextual-level variables, and readmissions were compared by t tests for continuous var
287 Among patients hospitalized for SCC, 30-day readmissions were frequent throughout the month post hos
288 0.004), but differences in changes in 90-day readmissions were not significant (adjusted DID, -0.47 p
290 pital stay (>75th percentile), and unplanned readmission), whereas adjusting for confounders and othe
291 s home may reduce cost, health care use, and readmissions while improving patient experience, althoug
292 alization reduced cost, health care use, and readmissions while increasing physical activity compared
293 was largely similar in both 30-day and 7-day readmission with more than 80% patients in both time per
294 the incidence, predictors, and impact of HF readmission within 1-year post-TAVR, and assessed the ef
297 med influenza, there is a high likelihood of readmission within 30 days and 1 year adding to the morb
299 sfully treated, defined as no ABSSSI-related readmission within 30-days after the initiation of treat
300 severe complications, mortality, and rate of readmissions within 30 days), and 1-year results (follow