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1 1 patients with serious complications (10.5% failure to rescue).
2 ns, and mortality after major complications (failure to rescue).
3 experience postoperative complications die (failure to rescue).
4 hospital mortality, major complications, and failure to rescue.
5 fication of patients at the highest risk for failure to rescue.
6 adjusted mortality, major complications, and failure to rescue.
7 Risk-scoring system that predicts failure to rescue.
8 or associations with major complications and failure-to-rescue.
9 ; 95% CI, 1.02-1.11) increase in the odds of failure-to-rescue.
10 renal complications were associated with the failure-to-rescue.
13 admissions, but lower risk-adjusted rates of failure to rescue and 30-day mortality than did nonteach
14 admissions, but lower risk-adjusted rates of failure to rescue and 30-day mortality than did nonteach
15 study aims to assess the potential to derive failure to rescue and a proxy measure, based on long len
16 over time and measuring associations between failure to rescue and factors including staffing, we ass
20 staffing, we assess whether two measures of failure to rescue are useful nurse sensitive indicators.
21 s in hospital quality for trauma patients is failure-to-rescue as opposed to differences in complicat
24 the incidence of complications and rates of failure to rescue between the top 20% of hospitals ("bes
26 involved in their care had reduced rates of failure to rescue compared with patients without residen
29 major complications and on the incidence of failure-to-rescue (death after a major complication), ad
31 ame procedure type at the same hospital; and failure to rescue, defined as in-hospital death after th
45 anding the preoperative factors that lead to failure to rescue helps surgeons predict and avoid opera
46 rates of mortality, major complications, and failure to rescue (ie, case fatality among patients with
48 AND PATIENTS: Observational study evaluating failure to rescue in patients entered into the American
49 e both associated with lower mortality based failure to rescue in the fully adjusted analysis (P<0.05
52 eath (odds ratio = 0.85; 95% CI, 0.73-0.99), failure to rescue (odds ratio = 0.82; 95% CI, 0.70-0.96)
53 within 30 days of admission and the odds of failure to rescue (odds ratio, 0.95; 95% confidence inte
54 important to elucidate clinical pathways of failure to rescue or death after postoperative complicat
55 complications (OR 1.67; 95% CI 1.34, 2.08), failure to rescue (OR 2.72; 95% CI 1.25, 5.94), and read
62 andardized clinical pathway could impact the failure-to-rescue rate after cytoreductive surgery (CRS)
63 ed management facilitated a reduction in the failure-to-rescue rate and improved the quality of care.
64 tients in low-mortality hospital had a lower failure-to-rescue rate compared to patients in high-mort
67 ted mortality, major complication rate, and "failure to rescue" rate (mortality in patients with a ma
68 due to differences in complication rates or failure to rescue rates (ie, case-fatality rates in pati
71 12.2% vs 9.6%; P < .001), and LMUs had lower failure to rescue rates following reintervention than HM
73 n of overall postoperative complications and failure to rescue rates on the observed increased mortal
76 gistic regression modeling, we evaluated how failure to rescue rates were influenced by specific hosp
78 ression analyses showed that mortality based failure to rescue rates were significantly associated (P
79 al characteristics are associated with lower failure to rescue rates, these macrosystem factors expla
81 Mortality (-0.5; 95% CI, -0.9 to -0.1) and failure-to-rescue rates (-4.5; 95% CI, -7.4 to -1.6) als
84 tilevel-models, HCI reduced the variation in failure-to-rescue rates between hospitals by 2.7% after
85 ve similar rates of complications but higher failure-to-rescue rates compared to patients in low-mort
88 When compared with younger patients, overall failure-to-rescue rates were almost 2-fold greater in th
91 ce higher risk-adjusted 30-day mortality and failure-to-rescue rates, and nurses are more likely to e
98 ences in the incidence of complications and "failure-to-rescue" rates (defined as death following a c
99 ates of complications (RR, 2.41; 2.31-2.51), failure to rescue (RR, 2.62; 2.35-2.90), and mortality (
100 death of a patient following a complication; failure to rescue-surgical is defined as the death of a
102 unique to Cav-1alpha (Y14-->F) resulted in a failure to rescue the cav-1alpha morphant phenotype, ver
105 complications, comorbidities associated with failure to rescue were ascites, chronic obstructive pulm
107 hospital mortality, major complications, and failure to rescue were associated with lower volumes of
108 01), shock or cardiac arrest (P=0.007), and "failure to rescue," which was defined as death from pneu
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