Hospital Volume and Surgical Mortality in the United States Birkmeyer, John D; Siewers, Andrea E; Finlayson, Emily V.A ...
New England journal of medicine/The New England journal of medicine,
04/2002, Letnik:
346, Številka:
15
Journal Article
Recenzirano
Odprti dostop
For surgical procedures, operative mortality varies inversely with the number of procedures performed at a hospital. This study quantified the relation between volume and outcome among Medicare ...patients for 14 different surgical procedures. The relative effect of surgical volume on outcome varied markedly among types of procedures. For pancreatic resection, the absolute difference in mortality rates between the highest-volume and the lowest-volume hospitals was over 12 percent, whereas for carotid endarterectomy, the difference was only 0.2 percent.
This study quantified the relation for 14 surgical procedures in Medicare patients.
Over the past three decades, numerous studies have described higher rates of operative mortality with selected surgical procedures at hospitals where few such procedures are performed (low-volume hospitals).
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Several recent reviews suggest that thousands of preventable surgical deaths occur each year in the United States because elective but high-risk surgery is performed in hospitals that have inadequate experience with the surgical procedures involved.
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As part of a broader initiative aimed at improving hospital safety, a large coalition of private and public purchasers of health insurance — the Leapfrog Group — is encouraging patients undergoing one of five high-risk . . .
Background Current information about outcomes in octogenarians undergoing cancer operations is limited largely to case series from selected centers. Population-based data can provide more realistic ...estimates of the risks and benefits of operations in this group. Study Design We performed a retrospective cohort study of patients undergoing major resections for lung, esophageal, and pancreas cancer. Using the Nationwide Inpatient Sample (1994 to 2003), we examined operative mortality and discharge disposition in octogenarians (aged 80+ years), relative to younger patients (aged 65 to 69 years) (n = 272,662). We then used the Surveillance and End Results-Medicare–linked database (1992 to 2001) to measure late survival in the elderly (n = 14,088). Results Operative mortality among octogenarians was substantially higher than that of younger patients (aged 65 to 69 years) for all three cancers (esophagectomy, 19.9% versus 8.8%, p < 0.0001; pancreatectomy, 15.5% versus 6.7%, p < 0.0001; lung resection, 6.9% versus 3.7%, p < 0.0001). A large proportion of octogenarians were transferred to extended care facilities after operation, ranging from 24% after lung resection to 44% after esophagectomy. Five-year survival in octogenarians was low for all three cancers: 11% after pancreatectomy, 18% after esophagectomy and 31% after lung cancer resection. Survival among octogenarians with two or more comorbidities was worse than those with fewer comorbid diagnoses—10% versus 14% for pancreatectomy, 15% versus 23% for esophagectomy, and 27% versus 37% for lung resection. Conclusions Population-based outcomes after high-risk cancer operation in octogenarians are considerably worse than typically reported in case series and published survival statistics. Such information might better inform clinical decision making in this high-risk group.
Th17 cells play an active role in autoimmune diseases. However, the nature of Th17 cells is poorly understood in cancer patients. We studied Th17 cells, the associated mechanisms, and clinical ...significance in 201 ovarian cancer patients. Tumor-infiltrating Th17 cells exhibit a polyfunctional effector T-cell phenotype, are positively associated with effector cells, and are negatively associated with tumor-infiltrating regulatory T cells. Tumor-associated macrophages promote Th17 cells through interleukin-1β (IL-1β), whereas tumor-infiltrating regulatory T cells inhibit Th17 cells through an adenosinergic pathway. Furthermore, through synergistic action between IL-17 and interferon-γ, Th17 cells stimulate CXCL9 and CXCL10 production to recruit effector T cells to the tumor microenvironment. The levels of CXCL9 and CXCL10 are associated with tumor-infiltrating effector T cells. The levels of tumor-infiltrating Th17 cells and the levels of ascites IL-17 are reduced in more advanced diseases and positively predict patient outcome. Altogether, Th17 cells may contribute to protective human tumor immunity through inducing Th1-type chemokines and recruiting effector cells to the tumor microenvironment. Inhibition of Th17 cells represents a novel immune evasion mechanism. This study thus provides scientific and clinical rationale for developing novel immune-boosting strategies based on promoting the Th17 cell population in cancer patients.
Objectives
To evaluate the association of frailty, a measure of diminished physiological reserve, with both major and minor surgical complications among patients undergoing urological surgery.
...Materials and Methods
Using data from the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) from 2007 to 2013, we identified all urological cases that appeared > 1000 times in the dataset among patients aged ≥40 years. Frailty was measured using the NSQIP frailty index (FI), a validated measure that includes 11 impairments, such as decreased functional status and impaired sensorium. We created multivariable logistic regression models using the NSQIP FI to assess major and minor complications after surgery.
Results
We identified 95 108 urological cases representing 21 urological procedures. The average frequency of complications per individual was 11.7%, with the most common complications being hospital readmission (6.2%), blood transfusion (4.6%) and urinary tract infection (3.1%). Major and minor complications increased with increasing NSQIP FI. Frailty remained strongly associated with complications after adjustment for year, age, race, smoking status and method of anaesthesia (adjusted odds ratio 1.74 95% confidence interval 1.64, 1.85 for an NSQIP FI ≥0.18). Increasing NSQIP FI was associated with increasing frequency of complications within age groups (by decade) up to age 81 years and across most procedures.
Conclusion
Frailty strongly correlates with risk of postoperative complications among patients undergoing urological surgery. This finding is true within most age groups and across most urological procedures.
OBJECTIVE:To explore hospital-level variation in postoperative delirium using a multi-institutional data source.
BACKGROUND:Postoperative delirium is closely related to serious morbidity, disability, ...and death in older adults. Yet, surgeons and hospitals rarely measure delirium rates, which limits quality improvement efforts.
METHODS:The American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) Geriatric Surgery Pilot (2014 to 2015) collects geriatric-specific variables, including postoperative delirium using a standardized definition. Hierarchical logistic regression models, adjusted for case mix Current Procedural Terminology (CPT) code and patient risk factors, yielded risk-adjusted and smoothed odds ratios (ORs) for hospital performance. Model performance was assessed with Hosmer-Lemeshow (HL) statistic and c-statistics, and compared across surgical specialties.
RESULTS:Twenty thousand two hundred twelve older adults (≥65 years) underwent inpatient operations at 30 hospitals. Postoperative delirium occurred in 2427 patients (12.0%) with variation across specialties, from 4.7% in gynecology to 13.7% in cardiothoracic surgery. Hierarchical modeling with 20 risk factors (HL = 9.423, P = 0.31; c-statistic 0.86) identified 13 hospitals as statistical outliers (5 good, 8 poor performers). Per hospital, the median risk-adjusted delirium rate was 10.4% (range 3.2% to 27.5%). Operation-specific risk and preoperative cognitive impairment (OR 2.9, 95% confidence interval 2.5–3.5) were the strongest predictors. The model performed well across surgical specialties (orthopedic, general surgery, and vascular surgery).
CONCLUSION:Rates of postoperative delirium varied 8.5-fold across hospitals, and can feasibly be measured in surgical quality datasets. The model performed well with 10 to 12 variables and demonstrated applicability across surgical specialties. Such efforts are critical to better tailor quality improvement to older surgical patients.
Aimed at reducing surgical deaths, several recent initiatives have attempted to establish volume-based referral strategies in high-risk surgery. Although payers are leading the most visible of these ...efforts, it is unknown whether volume standards will also reduce resource use.
We studied postoperative length of stay and 30-day readmission rate after 14 cardiovascular and cancer procedures using the 1994-1999 national Medicare database (total n = 2.5 million). We used regression techniques to examine the relationship between length of stay, 30-day readmission, and hospital volume, adjusting for age, gender, race, comorbidity score, admission acuity, and mean social security income.
Mean postoperative length of stay ranged from 3.4 days (carotid endarterectomy) to 19.6 days (esophagectomy). There was no consistent relationship between volume and mean length of stay; it significantly increased across volume strata for 7 of the 14 procedures and significantly decreased across volume strata for the other 7. Mean length of stay at very-low-volume and very-high-volume hospitals differed by more than 1 day for 6 procedures. Of these, the mean length of stay was shorter in high-volume hospitals for 3 procedures (pancreatic resection, esophagectomy, cystectomy), but longer for other procedures (aortic and mitral valve replacement, gastrectomy). The 30-day readmission rate also varied widely by procedure, ranging from 9.9% (nephrectomy) to 22.2% (mitral valve replacement). However, volume was not related to 30-day readmission rate with any procedure.
Although hospital volume may be an important predictor of operative mortality, it is not associated with resource use as reflected by length of stay or readmission rates.
Black patients have worse prognoses than whites with breast or colorectal cancer. Mechanisms underlying such disparities have not been fully explored. We examined the role of hospital factors in ...racial differences in late mortality after surgery for breast or colon cancer.
Patients undergoing surgery after new diagnosis of breast or colon cancer were identified using the Surveillance Epidemiology and End Results-Medicare linked database (1995 to 2005). The main outcome measure was mortality at 5 years. Proportional hazards models were used to assess relationships between race and late mortality, accounting for patient factors, socioeconomic measures, and hospital factors. Fixed and random effects models were used to account for quality differences across hospitals.
Black patients, compared with white patients, had lower 5-year overall survival rates after surgery for breast (62.1% v 70.4%, respectively; P < .001) and colon cancer (41.3% v 45.4%, respectively; P < .001). After controlling for age, comorbidity, and stage, black race remained an independent predictor of mortality for breast (adjusted hazard ratio HR = 1.25; 95% CI, 1.16 to 1.34) and colon cancer (adjusted HR = 1.13; 95% CI, 1.07 to 1.19). After risk adjustment, hospital factors explained 36% and 54% of the excess mortality for black patients with breast cancer and colon cancer, respectively. Hospitals with large minority populations had higher late mortality rates independent of race.
Hospital factors, including quality, are important mediators of the association between race and mortality for breast and colon cancer. Hospital-level quality improvement should be a major component of efforts to reduce disparities in cancer outcomes.
Abstract Objectives To understand the relationship between age, frailty and overactive bladder (OAB). Methods This is a prospective study of individuals age ≥65 presenting to an academic urology ...practice between December 2015 and July 2016. All patients had a Timed Up and Go Test (TUGT), a parsimonious measure of frailty, on intake and were thereby categorized as fast (≤10 sec), intermediate (11-14 sec) and slow (≥15 sec). The TUGT and other clinical data were abstracted from the electronic medical record (EMR) using direct queries. Logistic regression was used to examine the relationship between frailty and the diagnosis of OAB, adjusting for age, gender and race. Results Our cohort included 201 and 1162 individuals with and without OAB, respectively. Individuals with OAB had slower TUGTs (13.7 ± 7.9 sec) than their non-OAB counterparts (10.9 ± 5.2 sec), p<0.0001, with 32.3% and 11.0% of OAB and non-OAB individuals being categorized as slow, or frail. In multivariable analysis, slower TUGT was a significant predictor of OAB (adjusted OR 3.0; 95% CI 2.0-4.8). Age was not independently associated with this diagnosis (p values >0.05 for each age group). Conclusions Patients with OAB are statistically significantly frailer than individuals seeking care for other non-oncologic urologic diagnoses. Frailty, when adjusted for age, race and gender, is a statistically significant predictor of OAB. Furthermore, frailty should be considered when caring for older patients with OAB and OAB should be assessed when caring for frail older patients.
Objectives
To describe an innovative model of care, the Surgery Wellness Program (SWP), that uses a multidisciplinary team to develop and implement preoperative care plans for older adults, and its ...effect on engagement in advance care planning (ACP).
Design
Retrospective analysis of clinical demonstration project.
Setting
Preoperative optimization program for older adults undergoing surgery at a 796‐bed academic tertiary hospital.
Participants
Older adults (N=131) who participated in the SWP from February 2015 to August 2017.
Intervention
All SWP participants met with a geriatrician who engaged them in a semistructured ACP discussion. Trained medical and nurse practitioner students were used as health coaches who contacted participants regularly to address and document ACP.
Measurements
Self‐report of ACP engagement before and after participation in the SWP was determined using SWP geriatrician and health coach progress notes. Medical records were examined for scanned documentation. Feasibility data on number of health coach calls were collected.
Results
After completion of the program, the proportion of participants with a designated surrogate increased from 67% to 78% (p<.001), completed advance directive (AD) from 51% to 72% (p<.001), and an AD scanned into the medical record from 14% to 60% (p<.001). Participants who underwent surgery received a median of 4 health coaching calls over a median of 27 days between their clinic visit and surgery. Case examples are presented to highlight how the SWP attends to the many components of the ACP process.
Conclusion
Preoperative optimization programs provide a unique opportunity to engage older adults in ACP.
See related editorial by Jason Johanning