OBJECTIVE: Our understanding of the impact of a center\'s case volume on failure to rescue (FTR) after cardiac surgery is incomplete. We hypothesized that increasing center case volume would be associated with lower FTR.
METHODS: Patients undergoing a Society of Thoracic Surgeons index operation in a regional collaborative (2011-2021) were included. After we excluded patients with missing Society of Thoracic Surgeons Predicted Risk of Mortality scores, patients were stratified by mean annual center case volume. The lowest quartile of case volume was compared with all other patients. Logistic regression analyzed the association between center case volume and FTR, adjusting for patient demographics, race, insurance, comorbidities, procedure type, and year.
RESULTS: A total of 43,641 patients were included across 17 centers during the study period. Of these, 5315 (12.2%) developed an FTR complication, and 735 (13.8% of those who developed an FTR complication) experienced FTR. Median annual case volume was 226, with 25th and 75th percentile cutoffs of 136 and 284 cases, respectively. Increasing center-level case volume was associated with significantly greater center-level major complication rates but lower mortality and FTR rates (all P values < .01). Observed-to-expected FTR was significantly associated with case volume (P = .040). Increasing case volume was independently associated with decreasing FTR rate in the final multivariable model (odds ratio, 0.87 per quartile; confidence interval, 0.799-0.946, P = .001).
CONCLUSIONS: Increasing center case volume is significantly associated with improved FTR rates. Assessment of low-volume centers\' FTR performance represents an opportunity for quality improvement.

Current literature has identified textbook outcome (TO) as a quality metric after cancer surgery. We studied whether TO after pancreatic resection has a stronger association with long-term survival than individual hospital case volume.
Patients undergoing surgery for pancreatic adenocarcinoma from 2010 to 2015 were identified from the National Cancer Database. Hospitals were stratified by volume (low less than 6, medium 6 to 19, and high 20 cases or more per year), and overall survival data were abstracted. We defined TO as adequate lymph node count, negative margins, length of stay less than the 75th percentile, appropriate systemic therapy, timely systemic therapy, and without a mortality event or readmission within 30 days. The association of TO and case volume was assessed using a multivariable Cox regression model for survival.
Overall, 7270 patients underwent surgery, with 30.7%, 48.7%, and 20.6% performed at low-, medium-, and high-volume hospitals, respectively. Patients treated at low-volume hospitals were more likely to be Black, be uninsured or on Medicaid, have higher Charlson comorbidity scores, and be less likely to achieve TO (23.4% TO achievement vs 37.5% achievement at high-volume hospitals). However, high hospital volume was no longer associated with overall survival once TO was added to the multivariable model stratified by volume status. Achievement of TO corresponded to a 31% decrease in mortality (hazard ratio 0.69; p < 0.001), independent of hospital volume.
Improved long-term survival after pancreatic resection was associated with TO rather than high hospital volume. Quality improvement efforts focused on TO criteria have the potential to improve outcomes irrespective of case volume.

暂无摘要。

Emergency general surgery (EGS) is a high-volume and high-risk surgical service. Interhospital variation in EGS outcomes exists, but there is disagreement in the literature as to whether hospital admission volume affects in-hospital mortality. Scotland collects high-quality data on all admitted patients, whether managed operatively or nonoperatively. Our aim was to determine the relationship between hospital admission volume and in-hospital mortality of EGS patients in Scotland. Second, to investigate whether surgeon admission volume affects mortality.
This national population-level cohort study included EGS patients aged 16 years and older, who were admitted to a Scottish hospital between 2014 and 2018 (inclusive). A logistic regression model was created, with in-hospital mortality as the dependent variable, and admission volume of hospital per year as a continuous covariate of interest, adjusted for age, sex, comorbidity, deprivation, surgeon admission volume, surgeon operative rate, transfer status, diagnosis, and operation category.
There were 376,076 admissions to 25 hospitals, which met our inclusion criteria. The EGS hospital admission rate per year had no effect on in-hospital mortality (odds ratio [OR], 1.000; 95% confidence interval [CI], 1.000-1.000). Higher average surgeon monthly admission volume increased the odds of in-hospital mortality (>35 admissions: OR, 1.139; 95% CI, 1.038-1.250; 25-35 admissions: OR, 1.091; 95% CI, 1.004-1.185; <25 admissions was the referent).
In Scotland, in contrast to other settings, EGS hospital admission volume did not influence in-hospital mortality. The finding of an association between individual surgeons\' case volume and in-hospital mortality warrants further investigation.
Care management, Level IV.

OBJECTIVE: Hospital case volume is shown to be associated with postoperative outcomes in various types of surgery. However, conflicting results of volume-outcome relationship have been reported in hip fracture surgery. This retrospective cohort study aimed to evaluate the association between hospital case volume and postoperative outcomes in patients who had hip fracture surgery. We hypothesized that higher case volume would be associated with lower risk of in-hospital and one-year mortality after hip fracture surgery.
METHODS: Data for all patients who underwent surgery for hip fracture from January 2008 to December 2016 were extracted from the Korean National Healthcare Insurance Service database. According to mean annual case volume of surgery for hip fracture, hospitals were classified into very low (< 30 cases/year), low (30 to 50 cases/year), intermediate (50 to 100 cases/year), high (100 to 150 cases/year), or very high (> 150 cases/year) groups. The association between hospital case volume and in-hospital mortality or one-year mortality was assessed using the logistic regression model to adjust for age, sex, type of fracture, type of anaesthesia, transfusion, comorbidities, and year of surgery.
RESULTS: Between January 2008 and December 2016, 269,535 patients underwent hip fracture surgery in 1,567 hospitals in Korea. Compared to hospitals with very high volume, in-hospital mortality rates were significantly higher in those with high volume (odds ratio (OR) 1.10, 95% confidence interval ((CI) 1.02 to 1.17, p = 0.011), low volume (OR 1.22, 95% CI 1.14 to 1.32, p < 0.001), and very low volume (OR 1.25, 95% CI 1.16 to 1.34, p < 0.001). Similarly, hospitals with lower case volume showed higher one-year mortality rates compared to hospitals with very high case volume (low volume group, OR 1.15, 95% CI 1.11 to 1.19, p < 0.001; very low volume group, OR 1.10, 95% CI 1.07 to 1.14, p < 0.001).
CONCLUSIONS: Higher hospital case volume of hip fracture surgery was associated with lower in-hospital mortality and one-year mortality in a dose-response fashion. Cite this article: Bone Joint J 2020;102-B(10):1384-1391.

In light of political discussions about minimum case volumes and certified lung cancer centers, this observational study investigates differences in therapy and survival between high vs. low patient volume hospitals (HPVH vs. LPVH).
We identified 12,374 lung cancer patients treated in HPVH (>67 patients) and LPVH in 2013 from German health insurance claims. Stratified by metastasis status (no metastases, nodal metastases, systemic metastases), we compared HPVHs and LPVHs regarding likelihood of resection and systemic therapy, type of systemic therapy, and surgical outcomes, using multivariate logistic models. Three-year survival was modeled using Cox regression. We adjusted all regression models for age, gender, comorbidity, and residence area, and included a cluster variable for the hospital.
Around 24 % of patients were treated in HPVHs. Irrespective of stratum and subgroup, three-year survival was significantly better in HPVHs. In patients with systemic metastases (OR = 1.84, CI=[1.22,2.76]) and without metastases (OR = 3.28, CI=[2.13, 5.04]), resection was more likely in HPVHs. Among patients with systemic therapy, the odds of receiving pemetrexed was higher in HPVHs, in patients with nodal metastases (OR = 1.57, CI=[1.01,2.45]). In resected patients without metastases the odds ratio of receiving a thoracoscopic lobectomy was 2.28 (CI=[1.04,4.99]) in HPVHs.
Our data suggests that case volume is clinically relevant in resected and non-resected lung cancer patients, but optimal minimum case volumes may differ for subgroups.

Widespread adoption of endovascular aneurysm repair has led to a consequential decline in the use of open aneurysm repair (OAR). This evolution has had significant ramifications on vascular surgery training paradigms and contemporary practice patterns among established surgeons. Despite being the subject of previous analyses, the surgical volume-outcome relationship has remained a focus of controversy. At present, little is known about the complex interaction of case volume and surgeon experience with patient selection, procedural characteristics, and postoperative complications of OAR. The purpose of the present analysis was to examine the association between surgeon annual case volume and years of practice experience with OAR.
All infrarenal OARs (n = 11,900; elective, 70%; nonelective, 30%) included in the Society for Vascular Surgery Vascular Quality Initiative from 2003 to 2019 were examined. Surgeon experience was defined as years in practice after training. The experience level at repair was categorized chronologically (≤5 years, n = 1667; 6-10 years, n = 1887; 11-15 years, n = 1806; ≥16 years, n = 6540). The annual case volume was determined by the number of OARs performed by the surgeon annually (median, five cases). Logistic regression was used to perform risk adjustment of the outcomes across surgeon experience and volume (five or fewer vs more than five cases annually) strata for in-hospital major complications and 30-day and 1-year mortality.
Practice experience had no association with unadjusted mortality (30-day death: elective, P = .2; nonelective, P = .3; 1-year death: elective, P = .2; nonelective, P = .2). However, more experienced surgeons had fewer complications after elective OAR (25% with ≥16 years vs 29% with ≤5 years; P = .004). A significant linear correlation was identified between increasing surgeon experience and performance of a greater proportion of elective OAR (P-trend < .0001). Risk adjustment (area under the curve, 0.776) revealed that low-volume (five or fewer cases annually) surgeons had inferior outcomes compared with high-volume surgeons across the experience strata for all presentations. In addition, high-volume, early career surgeons (≤5 years\' experience) had outcomes similar to those of older, low-volume surgeons (P > .1 for all pairwise comparisons). Early career surgeons (≤5 years) had operated on a greater proportion of elective patients with American Society of Anesthesiologists class ≥4 (35% vs 30% [≥16 years\' experience]; P = .0003) and larger abdominal aortic aneurysm diameters (mean, 62 vs 59 mm [≥16 years\' experience]; P < .0001) compared with all other experience categories. Similarly, the use of a suprarenal cross-clamp occurred more frequently (26% vs 22% [≥16 years\' experience]; P = .0009) but the total procedure time, estimated blood loss, and renal and/or visceral ischemia times were all greater for less experienced surgeons (P-trend < .0001).
Annual case volume appeared to be more significantly associated with OAR outcomes compared with the cumulative years of practice experience. To ensure optimal OAR outcomes, mentorship strategies for \"on-boarding\" early career, as well as established, low-volume, aortic aneurysm repair surgeons should be considered. These findings have potential implications for widespread initiatives surrounding regulatory oversight and credentialing paradigms.

BACKGROUND: High hospital case volumes are associated with improved treatment outcomes for numerous diseases. We assessed the association between academic non-profit hospital case volume and survival of adult glioblastoma patients.
METHODS: From the nationwide Finnish Cancer Registry, we identified all adult (≥ 18 years) patients with histopathological diagnoses of glioblastoma from 2000 to 2013. Five university hospitals (treating all glioblastoma patients in Finland) were classified as high-volume (one hospital), middle-volume (one hospital), and low-volume (three hospitals) based on their annual numbers of cases. We estimated one-year survival rates, estimated median overall survival times, and compared relative excess risk (RER) of death between high, middle, and low-volume hospitals.
RESULTS: A total of 2,045 patients were included. The mean numbers of annually treated patients were 54, 40, and 17 in the high, middle, and low-volume hospitals, respectively. One-year survival rates and median survival times were higher and longer in the high-volume (39%, 9.3 months) and medium-volume (38%, 8.9 months) hospitals than in the low-volume (32%, 7.8 months) hospitals. RER of death was higher in the low-volume hospitals than in the high-volume hospital (RER = 1.19, 95% CI 1.07-1.32, p = 0.002). There was no difference in RER of death between the high-volume and medium-volume hospitals (p = 0.690).
CONCLUSIONS: Higher glioblastoma case volumes were associated with improved survival. Future studies should assess whether this association is due to differences in patient-specific factors or treatment quality.

UNASSIGNED: To determine whether surgical case volume is a predictive factor of surgical outcomes when managing geriatric patients with head andneck cancer.
UNASSIGNED: A cross-sectional study design was used. Data were obtainedfrom the Vizient Database, which included a total of 93 academicinstitutions. Men and women aged between 65 and 100 years undergoing head and neck cancer surgery during 2009 and 2012,excluding cases of thyroid cancer and skin cancer of the head and neck(n = 4544) were included in the study. Hospital case volume was definedas low (≤21 cases/year), moderate (22-49 cases/year), or high (≥50 cases/year). The frequency of comorbidities and complications wasmeasured by hospital case volume using a χ2 test. Significancewas determined with an α level of .05.
UNASSIGNED: The largest number of head and neck cancer cases involving comorbidities (90.54%) and the highest rate of overall complications(27.50%) occurred in moderate case volume institutions compared to athe complication rate of 22.89% in low volume hospitals and 21.50% in highvolume hospitals (P < .0001). The most common comorbidities across all3 hospital case volumes included hypertension, metastatic cancer,and chronic pulmonary disease and the most common complicationsincluded hemorrhage/hematoma and postoperative pulmonarycompromise.
UNASSIGNED: With more geriatric patients requiring surgery for head andneck cancer, it would be beneficial to manage the more complex cases at high volume centers and to develop multidisciplinary teams to optimizecase management and minimize complications.

To evaluate volume-outcome relationship in paediatric out-of-hospital cardiac arrest (OHCA).
This post hoc analysis of the SOS-KANTO 2012 study included data of paediatric OHCA patients <18 years old who were transported to the 53 emergency hospitals in the Kanto region of Japan between January 2012 and March 2013. Based on the paediatric OHCA case volume, the higher one-third of institutions (more than 10 paediatric OHCA cases during the study period) were defined as high-volume centres, the middle one-third institutions (6-10 cases) were defined as middle-volume centres and the lower one-third of institutions (less than 6 cases) were defined as low-volume centres. The primary outcome measurement was survival at 1 month after cardiac arrest. Multivariate logistic regression analysis for 1-month survival and paediatric OHCA case volume were performed after adjusting for multiple propensity scores. To estimate the multiple propensity score, we fitted a multinomial logistic regression model, which fell into one of the three groups as patient demographics and prehospital factors.
Among the eligible 282 children, 112, 82 and 88 patients were transported to the low-volume (36 institutions), middle-volume (11 institutions) and high-volume (6 institutions) centres, respectively. Transport to a high-volume centre was significantly associated with a better 1-month survival after adjusting for multiple propensity score (adjusted odds ratio, 2.55; 95% confidence interval, 1.05-6.17).
There may be a relationship between institutional case volume and survival outcomes in paediatric OHCA.