1,720,986 research outputs found
Impact of skilled nursing facility quality on postoperative outcomes after pancreatic surgery
Background: Data on skilled nursing facility utilization among patients undergoing pancreatic surgery remain scarce. We sought to define the incidence of utilization of skilled nursing facilities and determine the impact of skilled nursing facility quality markers on postoperative outcomes among patients who underwent pancreatic surgery. Methods: Medicare Standard Analytic Files were used to identify patients who underwent pancreatic resection during 2013–2015. Nursing Home Compare datasets were used to examine the influence of skilled nursing facility quality as estimated by quality markers (Medicare star ratings) on postoperative outcomes. Results: Among 13,018 patients who underwent pancreatectomy, 2,247 (17.3%) were discharged to a skilled nursing facility. Compared with patients discharged home, patients discharged to a skilled nursing facility were older (median age: 72 [interquartile range 68–76] vs 76 [interquartile range 71–80]), more likely female (44.4% vs 56.8%), and had greater Charlson comorbidity index scores (median score: 3 [interquartile range 2–8] vs 4 [interquartile range 2–8]) (all P < .001). Most patients were discharged to an above-average skilled nursing facility (N = 1,463, 65.1%), and a lesser subset was discharged to a skilled nursing facility with a below-average (N = 490, 21.8%) or average (N = 294, 13.1%) star rating. The 30-day hospital readmission was greatest among patients discharged to a below-average skilled nursing facility (below average N = 217, 44.3%; average N = 110, 37.4%; above average N = 517, 35.3%; P = .002). On multivariate analysis, patients discharged to below-average skilled nursing facilities remained 64% more likely to be readmitted within 30 days (OR 1.64, 1.29–2.02, P < .001). In contrast, 30-day mortality was comparable across the skilled nursing facility star rating categories (P = .08). Conclusion: Roughly 1 in 6 patients undergoing pancreatic surgery were discharged to a skilled nursing facility. Patients discharged to a below-average skilled nursing facility were more likely to be readmitted compared with patients discharged to an above-average skilled nursing facility
Trends in centralization of surgical care and compliance with National Cancer Center Network guidelines for resected cholangiocarcinoma
Background: A retrospective study was performed to characterize trends in centralization of care and compliance with National Comprehensive Cancer Network (NCCN) guidelines for resected cholangiocarcinoma (CCA), and their impact on overall survival (OS). Methods: Using the National Cancer Database (NCDB) 2004–2015 we identified patients undergoing resection for CCA. Receiver Operating Characteristic (ROC) analyses identified time periods and hospital volume groups for comparison. Propensity score matching provided case-mix adjusted patient cohorts. Cox hazard analysis identified risk factors for OS. Results: Among the 40,338 patients undergoing resection for CCA, the proportion of patients undergoing surgery at high volume hospitals increased over time (25%–44%, p < 0.001), while the proportion of patients undergoing surgery at low volume hospitals decreased (30%–15%, p < 0.001). Using ROC analyses, a hospital volume of 14 operations/year was the most sensitive and specific value associated with mortality. Surgery at high volume hospitals [HR] = 0.92, 95% CI: 0.88–0.97, p < 0.001) and receipt of care compliant with NCCN guidelines (HR = 0.87, 95% CI: 0.83–0.91, p < 0.001) were independently associated with improved OS. Conclusions: Both centralization of surgery for CCA to high volume hospitals and increased compliance with NCCN guidelines were associated with significant improvements in overall survival
Association of hospital volume with conversion to open from minimally invasive colectomy in patients with diverticulitis: A national analysis.
BackgroundDespite the known advantages of minimally invasive surgery (MIS) for diverticular disease, the impact of conversions to open (CtO) colectomy remains understudied. The present study used a nationally representative database to characterize risk factors and outcomes associated with CtO in patients with diverticular disease.MethodsAll elective adult hospitalizations entailing colectomy for diverticulitis were identified in the 2017-2019 Nationwide Readmissions Database. Annual institutional caseloads of MIS and open colectomy were independently tabulated. Restricted cubic splines were utilized to non-linearly estimate the risk-adjusted association between hospital volumes and CtO. Additional regression models were developed to evaluate the association of CtO with outcomes of interest.ResultsOf an estimated 110,281 patients with diverticulitis who met study criteria, 39.3% underwent planned open colectomy, 53.3% completed MIS, and 7.4% had a CtO. Following adjustment, an inverse relationship between hospital MIS volume and risk of CtO was observed. In contrast, increasing hospital open volume was positively associated with greater risk of CtO. On multivariable analysis, CtO was associated with lower odds of mortality (AOR 0.3, p = 0.001) when compared to open approach, and similar risk of mortality when compared to completed MIS (AOR 0.7, p = 0.436).ConclusionIn the present study, institutional MIS volume exhibited inverse correlation with adjusted rates of CtO, independent of open colectomy volume. CtO was associated with decreased rates of mortality compared to planned open approach but equivalence risk relative to completed MIS. Our findings highlight the importance of MIS experience and suggest that MIS may be safely pursued as the initial surgical approach among diverticulitis patients
Predictors and outcomes of nonroutine discharge after hepatopancreatic surgery
Background: Data on predictors of nonroutine discharge among patients undergoing hepatopancreatic surgery remain poorly defined. We sought to define factors associated with nonroutine discharge to home with home health care or to a skilled nursing facility or intermediate care facility and determine the impact of discharge destination on outcomes after hepatopancreatic surgery. Methods: The Nationwide Readmissions Database was queried for individuals who underwent hepatopancreatic surgeries 2010–2014 and were discharged home with home health care or to a skilled nursing facility/intermediate care facility. Results: A total of 42,189 patients underwent hepatopancreatic surgery. Of those, 2,825 (6.70%) were discharged to a skilled nursing facility or intermediate care facility, whereas 10,925 (25.9%) were discharged with home health care. A majority of patients underwent major hepatectomy (N = 14,516, 34.4%) or minor pancreatectomy (N = 13,824, 32.8%). Compared with patients discharged home, patients discharged to a skilled nursing facility or intermediate care facility were older (median age: 60 years, interquartile range: 50–68 vs 73, 67–79) and had more comorbidities (median score: 3, interquartile range: 1–8 vs 4, interquartile range: 2–8; P < .001). Type of operative procedure was not associated with discharge to a skilled nursing facility versus with home health care. Rather, patients with extreme loss of function, based on preoperative assessment, had 2.76 times higher odds of discharge to a skilled nursing facility or intermediate care facility versus with home health care (odds ratio 2.76, 95% confidence interval 1.98–3.85). Similarly, older (odds ratio 1.06, 95% confidence interval 1.06–1.07) and female patients (odds ratio 1.37, 95% confidence interval 1.25–1.51) were more likely to be discharged to a skilled nursing facility or intermediate care facility versus with home health care. Conclusion: One in four patients undergoing hepatopancreatic surgery were readmitted within 90 days of surgery. Age, severity of comorbidities, and perioperative course, including incidence of complications, were associated with nonroutine discharge
Trends in the Incidence, Treatment and Outcomes of Patients with Intrahepatic Cholangiocarcinoma in the USA: Facility Type is Associated with Margin Status, Use of Lymphadenectomy and Overall Survival
Introduction: Intrahepatic cholangiocarcinoma (ICC) remains an uncommon disease with a rising incidence worldwide. We sought to identify trends in therapeutic approaches and differences in patient outcomes based on facility types. Methods: Between January 1, 2004, and December 31, 2015, a total of 27,120 patients with histologic diagnosis of ICC were identified in the National Cancer Database and were enrolled in this study. Results: The incidence of ICC patients increased from 1194 in 2004 to 3821 in 2015 with an average annual increase of 4.16% (p < 0.001). Median survival of the cohort improved over the last 6 years of the study period (2004–2009: 8.05 months vs. 2010–2015: 9.49 months; p < 0.001). Among surgical patients (n = 5943, 21.9%), the incidence of R0 resection, lymphadenectomy and harvest of ≥6 lymph nodes increased over time (p < 0.001). Positive surgical margins (referent R0: R1, HR 1.49, 95% CI 1.24–1.79, p < 0.001) and treatment at community cancer centers (referent academic centers; HR 1.24, 95% CI 1.04–1.49, p = 0.023) were associated with a worse prognosis. Patients treated at academic centers had higher rates of R0 resection (72.4% vs. 67.7%; p = 0.006) and lymphadenectomy (55.6% vs. 49.5%, p = 0.009) versus community cancer centers. Overall survival was also better at academic versus community cancer programs (median OS: 11 months versus 6 months, respectively; p < 0.001). Conclusions: The incidence of ICC has increased over the last 12 years in the USA with a moderate improvement in survival over time. Treatment at academic cancer centers was associated with higher R0 resection and lymphadenectomy rates, as well as improved OS for patients with ICC
Minimally Invasive Liver Resection for Early-Stage Hepatocellular Carcinoma: Inconsistent Outcomes from Matched or Weighted Cohorts
The aim of the current study was to re-evaluate the role of minimally invasive liver resection (MILR) among patients with early-stage (stage I or II) hepatocellular carcinoma (HCC) undergoing partial hepatectomy
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Use of perioperative epidural analgesia among Medicare patients undergoing hepatic and pancreatic surgery
Background: We sought to characterize epidural analgesia (EA) use among Medicare patients undergoing hepatopancreatic (HP) procedures, identify factors associated with EA use and asses perioperative outcomes. Methods: Patients undergoing HP surgery were identified using the Inpatient Standard Analytic Files. Logistic regression was utilized to identify factors associated with EA receipt, and assess associations of EA with in-hospital outcomes and Medicare expenditures. Results: Among 20,562 patients included in the study, 6.7% (n =1362) had EA. There was no difference in the odds of complications (OR 1.05, 95% CI 0.93–1.19) or blood transfusions (OR 0.90, 95% CI 0.79–1.03) with EA versus conventional analgesia (CA). The odds of prolonged LOS (OR 1.16, 95% CI 1.03–1.30) were higher with EA; the odds of in-hospital mortality were higher with conventional analgesia (OR 1.90, 95% CI 1.28–2.83). Medicare payments for liver surgery were comparable among EA (19,300, p = 0.85) and slightly higher for EA (22,000, p < 0.001) for pancreatic procedures. Conclusion: EA utilization among Medicare patients undergoing HP was low. While EA was not associated with morbidity, it resulted in an average additional one day LOS and slightly higher expenditures in pancreatic surgery
Use of Machine Learning for Prediction of Patient Risk of Postoperative Complications After Liver, Pancreatic, and Colorectal Surgery
Background: Surgical resection is the only potentially curative treatment for patients with colorectal, liver, and pancreatic cancers. Although these procedures are performed with low mortality, rates of complications remain relatively high following hepatopancreatic and colorectal surgery. Methods: The American College of Surgeons (ACS) National Surgical Quality Improvement Program was utilized to identify patients undergoing liver, pancreatic and colorectal surgery from 2014 to 2016. Decision tree models were utilized to predict the occurrence of any complication, as well as specific complications. To assess the variability of the performance of the classification trees, bootstrapping was performed on 50% of the sample. Results: Algorithms were derived from a total of 15,657 patients who met inclusion criteria. The algorithm had a good predictive ability for the occurrence of any complication, with a C-statistic of 0.74, outperforming the ASA (C-statistic 0.58) and ACS-Surgical Risk Calculator (C-statistic 0.71). The algorithm was able to predict with high accuracy thirteen out of the seventeen complications analyzed. The best performance was in the prediction of stroke (C-statistic 0.98), followed by wound dehiscence, cardiac arrest, and progressive renal failure (all C-statistic 0.96). The algorithm had a good predictive ability for superficial SSI (C-statistic 0.76), organ space SSI (C-statistic 0.76), sepsis (C-statistic 0.79), and bleeding requiring transfusion (C-statistic 0.79). Conclusion: Machine learning was used to develop an algorithm that accurately predicted patient risk of developing complications following liver, pancreatic, or colorectal surgery. The algorithm had very good predictive ability to predict specific complications and demonstrated superiority over other established methods
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