Background Frailty, defined as a biologic syndrome of decreased reserve and resistance to stressors, has been linked to adverse outcomes after surgery. We evaluated the effect of frailty on 30-day ...mortality, morbidity, and failure to rescue (FTR) in patients undergoing elective abdominal aortic aneurysm (AAA) repair. Methods Patients undergoing elective endovascular AAA repair (EVAR) or open AAA repair (OAR) were identified in the National Surgical Quality Improvement Program database for the years 2005 to 2012. Frailty was assessed using the modified frailty index (mFI) derived from the Canadian Study of Health and Aging (CSHA). The primary outcome was 30-day mortality, and secondary outcomes included 30-day morbidity and FTR. The effect of frailty on outcomes was assessed by multivariate regression analysis, adjusted for age, American Society of Anesthesiology (ASA) class, and significant comorbidities. Results Of 23,207 patients, 339 (1.5% overall; 1.0% EVAR and 3.0% OAR) died ≤30 days of repair. One or more complications occurred in 2567 patients (11.2% overall; 7.8% EVAR and 22.1% OAR). Odds ratios (ORs) for mortality adjusted for age, ASA class, and other comorbidities in the group with the highest frailty score were 1.9 (95% confidence interval CI, 1.2-3.0) after EVAR and 2.3 (95% CI, 1.4-3.7) after OAR. Similarly, compared with the least frail, the most frail patients were significantly more likely to experience severe (Clavien-Dindo class IV) complications after EVAR (OR, 1.7; 95% CI, 1.3-2.1) and OAR (OR, 1.8; 95%, CI, 1.5-2.1). There was also a higher FTR rate among frail patients, with 1.7-fold higher risk odds of mortality (95% CI, 1.2-2.5) in the highest tertile of frailty compared with the lowest when postoperative complications occurred. Conclusions Higher mFI, independent of other risk factors, is associated with higher mortality and morbidity in patients undergoing elective EVAR and OAR. The mortality in frail patients is further driven by FTR from postoperative complications. Preoperative recognition of frailty may serve as a useful adjunct for risk assessment.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
IMPORTANCE: Growing consensus suggests that frailty-associated risks should inform shared surgical decision making. However, it is not clear how best to screen for frailty in preoperative surgical ...populations. OBJECTIVE: To develop and validate the Risk Analysis Index (RAI), a 14-item instrument used to measure surgical frailty. It can be calculated prospectively (RAI-C), using a clinical questionnaire, or retrospectively (RAI-A), using variables from the surgical quality improvement databases (Veterans Affairs or American College of Surgeons National Surgical Quality Improvement Projects). DESIGN, SETTING, AND PARTICIPANTS: Single-site, prospective cohort from July 2011 to September 2015 at the Veterans Affairs Nebraska-Western Iowa Heath Care System, a Level 1 Veterans Affairs Medical Center. The study included all patients presenting to the medical center for elective surgery. EXPOSURES: We assessed the RAI-C for all patients scheduled for surgery, linking these scores to administrative and quality improvement data to calculate the RAI-A and the modified Frailty Index. MAIN OUTCOMES AND MEASURES: Receiver operator characteristics and C statistics for each measure predicting postoperative mortality and morbidity. RESULTS: Of the participants, the mean (SD) age was 60.7 (13.9) years and 249 participants (3.6%) were women. We assessed the RAI-C 10 698 times, from which we linked 6856 unique patients to mortality data. The C statistic predicting 180-day mortality for the RAI-C was 0.772. Of these 6856 unique patients, we linked 2785 to local Veterans Affairs Surgeons National Surgical Quality Improvement Projects data and calculated the C statistic for both the RAI-A (0.823) and RAI-C (0.824), along with the correlation between the 2 scores (r = 0.478; P < .001). Of these 2785 patients, there was sufficient data to calculate the modified Frailty Index for 1021, in which the C statistics were 0.865 (RAI-A), 0.797 (RAI-C), and 0.811 (modified Frailty Index). The correlation between the RAI-A and RAI-C was 0.547, and the correlations of the modified Frailty Index to the RAI-A and RAI-C were 0.300 and 0.26, respectively (all P < .001). A cutoff of RAI-C of at least 21 classified 18.3% patients as “frail” with a sensitivity of 0.50 and specificity of 0.82, whereas the RAI-A was less sensitive (0.25) and more specific (0.97), classifying only 3.7% as “frail.” CONCLUSIONS AND RELEVANCE: The RAI-C and RAI-A represent effective tools for measuring frailty in surgical populations with predictive ability on par with other frailty tools. Moderate correlation between the measures suggests convergent validity. The RAI-C offers the advantage of prospective, preoperative assessment that is proved feasible for large-scale screening in clinical practice. However, further efforts should be directed at determining the optimal components of preoperative frailty assessment.
IMPORTANCE: Frailty is an important risk factor for postoperative mortality. Whether the association between frailty and mortality is consistent across all surgical specialties, especially those ...predominantly performing lower stress procedures, remains unknown. OBJECTIVE: To examine the association between frailty and postoperative mortality across surgical specialties. DESIGN, SETTING, AND PARTICIPANTS: A cohort study was conducted across 9 noncardiac specialties in hospitals participating in the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) and Veterans Affairs Surgical Quality Improvement Program (VASQIP) from January 1, 2010, through December 31, 2014, using multivariable logistic regression to evaluate the association between frailty and postoperative mortality. Data analysis was conducted from September 15, 2019, to April 30, 2020. Patients 18 years or older undergoing noncardiac procedures were included. EXPOSURES: Risk Analysis Index measuring preoperative frailty categorized patients as robust (Risk Analysis Index ≤20), normal (21-29), frail (30-39), or very frail (≥40). Operative Stress Score (OSS) categorized procedures as low (1-2), moderate (3), and high (4-5) stress. Specialties were categorized by case-mix as predominantly low intensity (>75% OSS 1-2), moderate intensity (50%-75%), or high intensity (<50%). MAIN OUTCOMES AND MEASURES: Thirty-day (both measures) and 180-day (VASQIP only) postoperative mortality. RESULTS: Of the patients evaluated in NSQIP (n = 2 339 031), 1 309 795 were women (56.0%) and mean (SD) age was 56.49 (16.4) years. Of the patients evaluated in VASQIP (n = 426 578), 395 761 (92.78%) were men and mean (SD) age was 61.1 (12.9) years. Overall, 30-day mortality was 1.2% in NSQIP and 1.0% in VASQIP, and 180-day mortality in VASQIP was 3.4%. Frailty and OSS distributions differed substantially across the 9 specialties. Patterns of 30-day mortality for frail and very frail patients were similar in NSQIP and VASQIP for low-, moderate-, and high-intensity specialties. Frailty was a consistent, independent risk factor for 30- and 180-day mortality across all specialties. For example, in NSQIP, for plastic surgery, a low-intensity specialty, the odds of 30-day mortality in very frail (adjusted odds ratio aOR, 27.99; 95% CI, 14.67-53.39) and frail (aOR, 5.1; 95% CI, 3.03-8.58) patients were statistically significantly higher than for normal patients. This was also true in neurosurgery, a moderate-intensity specialty, for very frail (aOR, 9.8; 95% CI, 7.68-12.50) and frail (aOR, 4.18; 95% CI, 3.58-4.89) patients and in vascular surgery, a high-intensity specialty, for very frail (aOR, 10.85; 95% CI, 9.83-11.96) and frail (aOR, 3.42; 95% CI, 3.19-3.67) patients. CONCLUSIONS AND RELEVANCE: In this study, frailty was associated with postoperative mortality across all noncardiac surgical specialties regardless of case-mix. Preoperative frailty assessment could be implemented across all specialties to facilitate risk stratification and shared decision-making.
Abstract Objective Preoperative clinical frailty is increasingly used as a surrogate for predicting postoperative outcomes. Patients undergoing major lower extremity amputation (LEA) carry a high ...risk of perioperative morbidity and mortality, including high 30-day mortality and readmission rates. We hypothesized that preoperative frailty would be associated with an increased risk of postoperative mortality and readmission. Methods A retrospective review was performed for all patients who underwent transfemoral or transtibial amputation for any indication within a multi-institution system during a 5-year period. Standard demographics and all components of the Modified Frailty Index (mFI) were used to determine preoperative frailty status for each patient. The primary outcome was 30-day mortality, with secondary outcomes of 30-day readmission, unplanned revision, and composite adverse events. Results Among 379 patients who underwent LEA, the overall readmission and mortality rates for the group were 22.69% and 6.06%, respectively. Readmission rates increased with increasing mFI score: rates were 8.6%, 13.5%, 16.3%, 19.7%, 31.4%, and 37.0% for mFI scores of 0, 1, 2, 3, 4, and ≥5, respectively ( P = .015). On multivariate logistic regression, only mFI (odds ratio, 1.49, 95% confidence interval, 1.24-1.77) and sex (odds ratio, 1.81, 95% confidence interval, 1.00-2.98) were significant predictors of 30-day readmission. Conclusions Preoperative clinical frailty is associated with an increased 30-day readmission rate in patients undergoing LEA and should be incorporated into preoperative counseling and risk stratification, as well as postoperative planning and care.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Repair of abdominal aortic aneurysms with endovascular techniques has emerged as the first line of therapy, due to procedural ease and excellent patient outcomes. Open aneurysm repair is increasingly ...used as a secondary option for lesions with anatomic complexity that involve arterial branches. Understanding the impact of endovascular abdominal aortic aneurysms repair on the shift in vascular operation practice for abdominal aortic aneurysms repair, requires a comprehensive and risk-adjusted review of operative outcomes between the 2 repair types. The American College of Surgeons National Surgical Quality Improvement Project is a comprehensive, outcomes-based program, which provides valuable data on operative complications with endovascular and open repair. In this review, we use the National Surgical Quality Improvement Project database to critically review complications, mortality, and morbidity associated with endovascular and open abdominal aneurysmal repair.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK, ZRSKP
Nontraumatic lower-extremity amputation is a devastating complication of peripheral artery disease (PAD) with a high mortality and medical expenditure. There are ≈150 000 nontraumatic leg amputations ...every year in the United States, and most cases occur in patients with diabetes. Among patients with diabetes, after an ≈40% decline between 2000 and 2009, the amputation rate increased by 50% from 2009 to 2015. A number of evidence-based diagnostic and therapeutic approaches for PAD can reduce amputation risk. However, their implementation and adherence are suboptimal. Some racial/ethnic groups have an elevated risk of PAD but less access to high-quality vascular care, leading to increased rates of amputation. To stop, and indeed reverse, the increasing trends of amputation, actionable policies that will reduce the incidence of critical limb ischemia and enhance delivery of optimal care are needed. This statement describes the impact of amputation on patients and society, summarizes medical approaches to identify PAD and prevent its progression, and proposes policy solutions to prevent limb amputation. Among the actions recommended are improving public awareness of PAD and greater use of effective PAD management strategies (eg, smoking cessation, use of statins, and foot monitoring/care in patients with diabetes). To facilitate the implementation of these recommendations, we propose several regulatory/legislative and organizational/institutional policies such as adoption of quality measures for PAD care; affordable prevention, diagnosis, and management; regulation of tobacco products; clinical decision support for PAD care; professional education; and dedicated funding opportunities to support PAD research. If these recommendations and proposed policies are implemented, we should be able to achieve the goal of reducing the rate of nontraumatic lower-extremity amputations by 20% by 2030.
Background
Black race has been shown to be a risk factor for amputation in peripheral artery disease (PAD); however, race has been argued to be a marker for socioeconomic status (SES) rather than ...true disparity. The aim of this study is to study the impact of race and SES on amputation risk in PAD patients.
Methods and Results
Patients with incident PAD in the national Veterans Affairs Corporate Data Warehouse were identified from 2003 to 2014 (N=155 647). The exposures were race and SES (measured by median income in residential ZIP codes). The outcome was incident major amputation. Black veterans were significantly more likely to live in low‐SES neighborhoods and to present with advanced PAD. Black patients had a higher amputation risk in each SES stratum compared with white patients. In Cox models (adjusting for covariates), black race was associated with a 37% higher amputation risk compared with white race (hazard ratio: 1.37; 95% confidence interval, 1.30–1.45), whereas low SES was independently predictive of increased risk of amputation (hazard ratio: 1.12; 95% confidence interval, 1.06–1.17) and showed no evidence of interaction with race. In predicted amputation risk analysis, black race and low SES continued to be significant risk factors for amputation regardless of PAD presentation.
Conclusions
Black race significantly increases the risk of amputation within the same SES stratum compared with white race and has an independent effect on limb loss after controlling for comorbidities, severity of PAD at presentation, and use of medications.
Abstract Background Women have poorer outcomes after vascular surgery as compared to men as shown by studies recently. Frailty is also an independent risk factor for postoperative morbidity and ...mortality. This study examines the interplay of gender and frailty on outcomes after infrainguinal vascular procedures. Materials and methods The American College of Surgeons National Surgical Quality Improvement Program database was used to identify all patients who underwent infrainguinal vascular procedures from 2005–2012. Frailty was measured using a modified frailty index (mFI; derived from the Canadian Study of Health and Aging). Univariate and multivariate analysis were performed to investigate the association of preoperative frailty and gender, on postoperative outcomes. Results Of 24,645 patients (92% open, 8% endovascular), there were 533 deaths (2.2%) and 6198 (25.1%) major complications within 30 d postoperatively. Women were more frail (mean mFI = 0.269) than men (mean mFI = 0.259; P < 0.001). Women and frail patients (mFI>0.25) were more likely to have a major morbidity ( P < 0.001) or mortality ( P < 0.001) with the highest risk in frail women. On multivariate logistic regression analysis, female gender and increasing mFI were independently significantly associated with mortality ( P < 0.05) as well as major complications. The interaction of gender and frailty in multivariate analysis showed the highest adjusted 30-d mortality and morbidity in frail females at 2.8% and 30.1%, respectively and that was significantly higher ( P < 0.001) than nonfrail males, nonfrail females and frail males. Conclusions Female gender and frailty are both associated with increased risk of complications and death following infrainguinal vascular procedures with the highest risk in frail females. Further studies are needed to explore the mechanisms of interaction of gender and frailty and its effect on long-term outcomes for peripheral vascular disease.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK, ZRSKP
Hyperglycemia is a common occurrence in patients undergoing cardiovascular surgery. It has been identified in several surgical cohorts that improved perioperative glycemic control reduced ...postoperative morbidity and mortality. A significant portion of the population with peripheral arterial disease suffers from the sequelae of diabetes or metabolic syndrome. A paucity of data exists regarding the relationship between perioperative glycemic control and postoperative outcomes in vascular surgery patients. The objective of this study was to better understand this relationship and to determine which negative perioperative outcomes could be abated with improved glycemic control.
This is a retrospective review of a vascular patient database at a large academic center from 2009 to 2013. Eligible procedures included carotid endarterectomy and stenting, endovascular and open aortic aneurysm repair, and all open bypass revascularization procedures. Data collected included standard demographics, outcome parameters, and glucose levels in the perioperative period. Perioperative hyperglycemia was defined as at least one glucose value >180 mg/dL within 72 hours of surgery. The primary outcome was 30-day mortality, with secondary outcomes of complications, need to return to the operating room, and readmission.
Of the total 1051 patients reviewed, 366 (34.8%) were found to have perioperative hyperglycemia. Hyperglycemic patients had a higher 30-day mortality (5.7% vs 0.7%; P < .01) and increased rates of acute renal failure (4.9% vs 0.9%; P < .01), postoperative stroke (3.0% vs 0.7%; P < .01), and surgical site infections (5.7% vs 2.6%; P = .01). In addition, these patients were also more likely to undergo readmission (12.3% vs 7.9%; P = .02) and reoperation (6.3% vs 1.8%; P < .01). Furthermore, multivariable logistic regression demonstrated that perioperative hyperglycemia had a strong association with increased 30-day mortality and multiple negative postoperative outcomes, including myocardial infarction, stroke, renal failure, and wound complications.
This study demonstrates a strong association between perioperative glucose control and 30-day mortality in addition to multiple other postoperative outcomes after vascular surgery.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
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