Causes and implications of readmission after abdominal aortic aneurysm repair

Serum Procalcitonin as a Valuable Diagnostic Tool in the Early Detection of Infectious Complications after Open Abdominal Aortic Repair

BACKGROUND

Aortic aneurysm repair is a resolutive and effective surgical operation, which can be associated with severe postoperative complications. Procalcitonin (PCT) in clinical practice could play a role in early diagnosis and monitoring of therapy for complications, especially infections, making for timely and more effective interventions. Our aim was to investigate whether PCT could be a predictive marker in early diagnosis of infectious complications after open abdominal aortic surgery.

METHODS

Eighty-three consecutive patients who underwent elective open aortic repair at our institution were enrolled. Blood samples were taken before surgery, and each day over the 7-day postoperative period, and measurement of serum PCT, C-reactive protein (CRP), and leukocytes levels were carried out. Data regarding clinical progress, instrumental examinations, and blood chemistry were prospectively collected.

RESULTS

Postoperative infectious complications occurred in 24 patients. Within 30 days, 1 death occurred. In the study sample, we found a significant difference in PCT curves of patients with and without infectious complications, especially on third postoperative day (POD; P = 0.004). On analysis of the area under the curve (AUC curve), PCT was shown to be a fair predictor in distinguishing cases with infectious complications (AUC, 0.765 on third POD; CI, 0.638-0.877). Conversely, other inflammatory markers commonly used (leucocytes and CRP) had similar trends in patients with and without postoperative infections.

CONCLUSIONS

On the basis of the results collected in this pilot study, despite some limitations, PCT could be considered a better marker of infectious complications after open abdominal aortic repair, when compared with other routinely used parameters.

Women undergoing aortic surgery are at higher risk for unplanned readmissions compared with men especially when discharged home

OBJECTIVE

Women undergoing vascular surgery have higher morbidity and mortality. Our study explores gender-based differences in patient-centered outcomes such as readmission, length of stay (LOS), and discharge destination (home vs nonhome facility) in aortic aneurysm surgery.

METHODS

Patients were identified from the American College of Surgeons National Surgical Quality Improvement Project database (2011-2013) undergoing abdominal, thoracic, and thoracoabdominal aortic aneurysms (N = 17,763), who were discharged and survived their index hospitalization. The primary outcome was unplanned readmission, and secondary outcomes were discharge to a nonhome facility, LOS, and reasons for unplanned readmission. Univariate, multivariate, and stratified analyses based on gender and discharge destination were used.

RESULTS

Overall, 1541 patients (8.7%) experienced an unplanned readmission, with a significantly higher risk in women vs men (10.8% vs 8%; P < .001) overall (Procedure subtypes: abdominal aortic aneurysm [10.1% vs 7.7%; P < .001], thoracic aortic aneurysm [14.1% vs 13.5%; P = .8], and thoracoabdominal aortic aneurysm [14.8% vs 10%; P = .051]). The higher odds of readmission in women compared with men persisted in multivariate analysis after controlling for covariates (odds ratio [OR], 1.21; 95% confidence interval [CI], 1.05-1.4). Similarly, the rate of discharge to a nonhome facility was nearly double in women compared with men (20.6% vs 10.7%; P < .001), but discharge to a nonhome facility was not a significant predictor of unplanned readmission. Upon stratification by discharge destination, the higher odds of readmissions in women compared with men occurred in patients who were discharged home (OR, 1.2; 95% CI, 1.02-1.4) but not in those who were discharged to a nonhome facility (OR, 1.06; 95% CI, 0.8-1.4). Significant differences in LOS were seen in patients who were discharged home. No gender differences were found in reasons for readmission with the three most common reasons being thromboembolic events, wound infections, and pneumonia.

CONCLUSIONS

Gender disparity exists in the risk of unplanned readmission among aortic aneurysm surgery patients. Women who were discharged home have a higher likelihood of unplanned readmission despite longer LOS than men. These data suggest that further study into the discharge planning processes, social factors, and use of rehabilitation services is needed for women undergoing aortic procedures to decrease readmissions.

The perioperative effect of concomitant procedures during open infrarenal abdominal aortic aneurysm repair

BACKGROUND

Open repair of abdominal aortic aneurysms (AAAs) is occasionally performed in conjunction with additional procedures; however, how these concomitant procedures affect outcome is unclear. This study determined the frequency of additional procedures during elective open AAA repair and the effect on perioperative outcomes.

METHODS

All elective infrarenal open AAA repairs between January 2003 and November 2014 in the Vascular Study Group of New England (VSGNE) were identified. Patients were grouped by concomitant procedures, which included no concomitant procedure, renal artery bypass, lower extremity bypass, other abdominal procedure, or thromboembolectomy. Analyses were performed using multivariable logistic regression.

RESULTS

Of 1314 patients who underwent elective AAA repair, 153 (11.6%) had a concomitant procedure, including renal bypass in 27 (2.1%), lower extremity bypass in 28 (2.1%), other abdominal procedures in 64 (4.9%), and thromboembolectomy in 48 (3.7%). Independent risk factors for 30-day mortality were renal bypass (odds ratio [OR], 7.2; 95% confidence interval [CI], 1.9-27.7), other abdominal procedures (OR, 4.8; 95% CI, 1.6-14.1), and thromboembolectomy (OR, 8.8; 95% CI, 3.1-24.9). Deterioration of renal function was predicted by renal bypass (OR, 5.1; 95% CI, 2.1-12.4) and thromboembolectomy (OR, 3.7; 95% CI, 1.8-7.6). Lower extremity bypass and thromboembolectomy were predictive of postoperative leg ischemia (OR, 8.9; 95% CI, 2.7-29.0; OR, 11.2; 95% CI, 4.4-28.8, respectively), and thromboembolectomy was also predictive of postoperative bowel ischemia (OR, 4.4; 95% CI, 1.6-12.0).

CONCLUSIONS

Performing additional procedures during infrarenal open AAA repair is associated with increased morbidity and mortality in the postoperative period. Careful deliberation of the operative risks and the necessity of the additional interventions are therefore advised during operative planning. This study also highlights the importance of avoiding perioperative thromboembolic events.

Readmission destination and risk of mortality after major surgery: an observational cohort study

BACKGROUND

Hospital readmissions are common after major surgery, although it is unknown whether patients achieve improved outcomes when they are readmitted to, and receive care at, the index hospital where their surgical procedure was done. We examined the association between readmission destination and mortality risk in the USA in Medicare beneficiaries after a range of common operations.

METHODS

By use of claims data from Medicare beneficiaries in the USA between Jan 1, 2001, and Nov 15, 2011, we assessed patients who needed hospital readmission within 30 days after open abdominal aortic aneurysm repair, infrainguinal arterial bypass, aortobifemoral bypass, coronary artery bypass surgery, oesophagectomy, colectomy, pancreatectomy, cholecystectomy, ventral hernia repair, craniotomy, hip replacement, or knee replacement. We used logistic regression models incorporating inverse probability weighting and instrumental variable analysis to measure associations between readmission destination (index vs non-index hospital) and risk of 90 day mortality for patients who underwent surgery who needed hospital readmission.

FINDINGS

9,440,503 patients underwent one of 12 major operations, and the number of patients readmitted or transferred back to the index hospital where their operation was done varied from 186,336 (65·8%) of 283,131 patients who were readmitted after coronary artery bypass grafting, to 142,142 (83·2%) of 170,789 patients who were readmitted after colectomy. Readmission was more likely to be to the index hospital than to a non-index hospital if the readmission was for a surgical complication (189,384 [23%] of 834,070 patients readmitted to index hospital vs 36,792 [13%] of 276,976 patients readmitted non-index hospital, p<0·0001). Readmission to the index hospital was associated with a 26% lower risk of 90 day mortality than was readmission to a non-index hospital, with inverse probability weighting used to control for selection bias (odds ratio [OR] 0·74, 95% CI 0·66-0·83). This effect was significant (p<0·0001) for all procedures in inverse probability-weighted models, and was largest for patients who were readmitted after pancreatectomy (OR 0·56, 95% CI 0·45-0·69) and aortobifemoral bypass (OR 0·69, 95% CI 0·61-0·77). By use of hospital-level variation among regional index hospital readmission rates as an instrument, instrumental variable analysis showed that the patients with the highest probability of returning to the index hospital had 8% lower risk of mortality (OR 0·92 95% CI 0·91-0·94) than did patients who were less likely to be readmitted to the index hospital.

INTERPRETATION

In the USA, patients who are readmitted to hospital after various major operations consistently achieve improved survival if they return to the hospital where their surgery took place. These findings might have important implications for cost-effectiveness-driven regional centralisation of surgical care.

FUNDING

None.

30-Day readmission after bariatric surgery in a publicly funded regionalized center of excellence system

BACKGROUND

Avoidable readmission after surgery is a major burden on healthcare resources and is common after major surgery. Bariatric surgery is one of the most common surgical procedures in North America, and there is a paucity of strategies to prevent readmission. Strategies for prevention must first identify actual risk factors before interventions can be designed.

METHODS

Our objective was to evaluate the readmission rate, characteristics of readmitted patients, and factors associated with readmission. We performed a population-based cohort study that included all patients who received a Roux-en-Y gastric bypass (RYGB) or sleeve gastrectomy (SG) procedure in Ontario from April 2009 until March 2012 for the purposes of weight loss. Data were derived from the Canadian Institute for Health Information Discharge Abstract Database and Hospital Morbidity Database.

RESULTS

Over 3 years, 5007 procedures (91.7 % RYGB, 8.1 % SG) were performed with an overall 30-day readmission rate of 6.1 %. Readmission stays of 72 h or less accounted for 83 % of the cohort. The most common reasons for readmission were: infectious complications (24.6 %), pain (16.4 %) nausea/vomiting (11.5 %), bleeding complications (11.5 %), obstruction (5.6 %). A complication during initial admission OR 2.07 (95 % CI 1.44-2.97; P value < 0.001) and a length of stay greater than 2 days OR 1.40 (95 % CI 1.07-1.84; P value = 0.013) were independent predictors of readmission within 30 days.

CONCLUSION

The readmission rate after bariatric surgery in Ontario is similar to other major population-based bariatric surgery programs. Complications on initial admission and prolonged length of stay were independent predictors of readmission. Considering a large proportion of the readmissions were short term, future research into potential measures to prevent these readmissions is essential.

Readmissions after major cancer surgery among older adults

BACKGROUND

Decreasing readmissions has become a focus of emerging efforts to improve the quality and affordability of health care. However, little is known about reasons for readmissions after major cancer surgery in the expanding elderly population (≥65 years) who are also at increased risk of adverse operative events. We sought to identify (1) the extent to which older age impacts readmissions and (2) factors predictive of 30- and 90-day readmissions after major cancer surgery among older adults.

METHODS

We identified 2,797 older adults who underwent 1 of 7 types of major thoracic or abdominopelvic cancer surgery within a large multihospital system from 2003 to 2012. Multivariate logistic regression analyses were conducted to identify predictors of 30- and 90-day readmission controlling for covariates.

RESULTS

Overall 30- and 90-day readmission rates were 16% and 24% with the majority of readmissions occurring within 15-days of discharge. Principal diagnoses of 30-day readmissions included gastrointestinal, pulmonary, and infections complications. The 30-day readmissions were associated with >2 comorbid conditions and ≥2 postoperative complications. Readmissions varied significantly according to cancer surgery type and across treating hospitals. Readmissions did not vary by increasing age. Factors associated with 90-day readmission were comparable to those observed at 30 days.

CONCLUSION

In this large, multihospital study of older adults, multiple morbidities, procedure type, greater number of complications, and the treating hospital predicted 30- and 90-day readmissions. These findings point toward the potential impact of hospital-level factors behind readmission. Our results also heighten the importance of assessing the influence of readmission on other important cancer care metrics, namely, patient-reported outcomes and the completion of adjuvant systemic therapies.

Is there a relationship between patient satisfaction and favorable outcomes?

OBJECTIVE

Patient satisfaction with the health care experience has become a top priority for Centers for Medicare and Medicaid Services. With resources and efforts directed at patient satisfaction, we evaluated whether high patient satisfaction measured by HCAHPS (Hospital Consumer Assessment of Healthcare Providers and Systems) surveys correlates with favorable outcomes.

METHODS

Medical centers were identified from the University HealthSystem Consortium database from 2011 to 2012. Variables included hospital characteristics, process measure compliance, and surgical outcomes. Chi-squared analysis was used to evaluate for variables associated with high patient satisfaction (defined as hospitals that scored above the 50th percentile of top box scores).

RESULTS

We identified 171 hospitals with complete data. The following variables were significantly associated with high overall patient satisfaction: large hospitals, high surgical volume, and low mortality (P < 0.001). Compliance with process measures and patient safety indicators, as well as length of stay, did not correlate with overall satisfaction. The presence of complications (P = 0.491) or increased rate of readmission (P = 0.056) were not found to affect patient satisfaction. Low mortality index was consistently found to be associated with high satisfaction across 9 of 10 HCAHPS domains.

CONCLUSIONS

We found that hospital size, surgical volume, and low mortality were associated with high overall patient satisfaction. However, with the exception of low mortality, favorable surgical outcomes were not consistently associated with high HCAHPS scores. With existing satisfaction surveys, we conclude that factors outside of surgical outcomes appear to influence patients' perceptions of their care.

Readmission after surgery

Readmission is a large problem after both medical and surgical admissions. Recent policy changes that include substantial financial penalties have made readmission an important, if not the most important, pay-for-performance program for health care in the United States. The CMS Hospital Readmissions Reduction Program currently applies only to patients with certain medical diagnoses, but it is expanding into orthopedic surgery in 2014, and will likely involve more surgical procedures in the future. Accordingly, hospitals and researchers will increasingly be focused on understanding and preventing readmission. Definitions of readmission must be standardized between organizations to allow for comparison. The accepted definition for any organization tracking rehospitalization should be 30-day all-cause readmission. In addition, any hospital profiling applications or studies comparing readmission rates between hospitals should use hierarchical rather than standard logistic regression modeling. Rather than relying on findings from medical patients, further studies on the specific causes of readmission after surgery should be conducted. Predictive modeling has some utility in focusing readmission prevention efforts on high-risk patients, but understanding the underlying causes of readmission is key to designing effective prevention interventions. Current evidence suggests that postoperative complications play a key role in surgical readmission, but efforts on improving discharge planning and coordination of care developed in medical patients will also be critical in decreasing unnecessary readmissions in the future.

Readmissions after complex aneurysm repair are frequent, costly, and primarily at nonindex hospitals

OBJECTIVE

Readmissions after complex vascular surgery are not well studied. We sought to determine the rate of readmission after thoracic and thoracoabdominal aortic aneurysm repair (TAA/TAAAR) at our institution and to identify risk factors for and costs of readmission.

METHODS

Using a prospectively collected institutional database in conjunction with a Maryland statewide database, we reviewed index admissions and early readmissions for all patients who underwent TAA/TAAAR between 2002 and 2013 at the Johns Hopkins Hospital. Only Maryland residents were included to capture readmissions to any Maryland hospital.

RESULTS

We identified 115 Maryland residents (58% men; mean age, 65 ± 1.2 years) undergoing TAA/TAAAR (57% open repair). Early readmissions were frequent and occurred in 29% of patients. Of the readmitted patients, 79% (P < .001) were not readmitted to the index hospital where their operation was performed. Readmitted patients were not significantly different from nonreadmitted patients in age, gender, race, aneurysm type, and index length of stay. They were not different in preoperative comorbidities (including coronary artery disease, diabetes mellitus, smoking, renal insufficiency, and pulmonary disease), postoperative neurologic, renal, and cardiovascular complications, or 30-day or 5-year mortality. Multivariable analysis showed that significant risk factors for readmission were open repair (odds ratio, 3.12; 95% confidence interval, 1.12-9.54; P = .03) and postoperative pneumonia (odds ratio, 4.31; 95% confidence interval, 1.28-15.4; P = .02). Readmitted patients had significantly lower average income compared with the nonreadmitted cohort (U.S. $62,000 ± $4000 vs $73,000 ± $3000; P = .04). Striking differences were seen between patients readmitted to the index hospital where the operation was performed, and those who were readmitted to a nonindex hospital: patients readmitted to the index hospital were readmitted mainly for aneurysm-related surgical issues, whereas patients readmitted to the nonindex hospital were readmitted for medical morbidities. An aneurysm-related intervention was required in 75% of patients readmitted to the index hospital vs in 9% of patients readmitted to the nonindex hospital. Readmissions to a nonindex hospital cost significantly less than to the index hospital (U.S. $20,000 ± $4400 vs $42,000 ± $8800; P = .03) and were not associated with increased overall mortality.

CONCLUSIONS

Early readmissions after TAA/TAAA repair are frequent and often occur at hospitals other than the index institution. Risk factors for readmission include open repair and postoperative pneumonia but not pre-existing patient comorbidities. Readmissions to nonindex hospitals were related to medical morbidities that were associated with fewer interventions and lower costs compared with the index hospital. Focusing on preoperative risk factors in this group of patients may not lead to reduction in readmissions. Minimizing nonsurgical complications may reduce post-TAA/TAAAR readmissions and the high costs associated with repeat care.

Postdischarge complications are an important predictor of postoperative readmissions

BACKGROUND

Thirty-day readmissions are common in general surgery patients and affect long-term outcomes including mortality. We sought to determine the effect of complication timing on postoperative readmissions.

METHODS

Patients from our institutional American College of Surgeons National Surgical Quality Improvement Project database who underwent general surgery procedures from 2006 to 2011 were included. The primary outcome of interest was 30-day hospital readmission.

RESULTS

Patients diagnosed with postdischarge complications were significantly more likely to be readmitted (56%) compared with patients diagnosed with complications before discharge (7%, P < .001). Independent predictors of postdischarge complications included laparoscopic case, short hospital stay, preoperative dyspnea, and independent functional status. Gastrointestinal complications and surgical site infection were the most common reasons for readmission.

CONCLUSIONS

The development of complications after hospital discharge places patients at significant risk for readmission. Early identification and treatment of gastrointestinal complications and surgical site infections in the outpatient setting may decrease postoperative readmission rates.

Clinical outcome of an extended proximal seal zone with the AFX endovascular aortic aneurysm system

OBJECTIVE

Despite improvements in endograft technology, operator skill, and patient selection, endovascular aneurysm repair continues to be associated with device-related complications. A retrospective, observational study was undertaken to evaluate the clinical outcome and imaging findings of a unique device having externally-mounted, conformable graft material.

METHODS

Infrarenal abdominal aortic aneurysms were treated with the Endologix, Inc AFX endovascular aortic aneurysm system (Irvine, Calif) endograft in 108 consecutive patients over a 25-month period at two U.S. clinical sites. Baseline characteristics and procedural outcomes were reviewed by independent monitors. Serial computed tomography (CT) imaging assessments were performed by an independent core laboratory. Aortic neck characteristics and graft apposition were analyzed from center line-reformatted CT data sets in 37 patients in an imaging cohort comprising subjects with high-resolution baseline and follow-up CT imaging for precise assessment of aortic neck characteristics. The mean follow-up was 11 ± 5 months overall, 9 ± 6 months in patients with core laboratory imaging, and 5 ± 2 months for patients in the imaging cohort.

RESULTS

Among the 108 patients, 103 (95%) had intact aneurysms and five (4.6%) were treated for rupture; 80 (74%) were male and 28 (26%) were female. On average, 2.3 ± 0.7 endograft components were implanted per patient and no adjunctive proximal neck bare stents were used. There were no perioperative deaths in patients with intact aneurysms; two patients who presented with ruptured aortic aneurysms (40%) died. Major adverse events occurred within 30 days of implantation in two patients (1.9%) with intact aneurysms. Type II endoleaks were evident on completion angiography in 18 patients (16.7%). Core laboratory analysis of CT studies identified two patients with type Ia endoleaks (2.3%), two with type III endoleaks (2.3%), and five with type II endoleaks (5.7%). Aneurysm-related secondary procedures were required in five patients over the first year of follow-up (4.6%). No patient developed endograft limb occlusion or aneurysm rupture and there were no open surgical conversions. In the imaging cohort, 360° graft-to-aortic wall apposition was continuous over a length of 25 ± 17 mm and extended the seal zone an average of 5 mm beyond the end of the anatomic neck. Early sac regression was correlated with neck length (P = .019) and graft-to-aortic apposition surface area (P = .039).

CONCLUSIONS

The real-world use of the AFX endograft was associated with a low rate of device-and procedure-related complications. The ability to achieve an extended seal zone beyond the anatomical neck might in part contribute to positive outcomes, including the low type Ia and type II endoleak rate. These findings suggest that the AFX device might offer some advantages over other currently marketed endografts, but confirmation awaits the availability of longer-term outcome data.

Sequelae of early hospital readmission after kidney transplantation

We recently elucidated risk factors for early hospital readmission (EHR) following kidney transplantation (KT). We now sought to quantify the independent associations between EHR and post-KT outcomes, including late hospital readmission (LHR: 1 year after EHR window), death-censored graft loss and mortality, among Medicare-primary KT recipients (2000-2005). Of 32961 KT recipients, 7.7% had at least one readmission within 3 days of discharge, 14.8% within 7 days, 22.4% within 14 days and 30.5% within 30 days of discharge after the initial KT hospitalization. KT recipients who experienced EHR within 30 days of discharge after the initial KT hospitalization were more likely to have experienced LHR (29.6% vs. 9.0%, p<0.001) and were at 3.02 times higher (95% CI: 2.82-3.23, p<0.001) risk of LHR. Additionally, EHR was associated with death-censored graft loss (deceased donor recipients hazard ratio [HR]: 1.43, 95% CI: 1.36-1.51, p<0.001 and live donor recipients HR: 1.54, 95% CI: 1.40-1.70, p<0.001) and mortality (deceased donor recipients HR: 1.50, 95% CI: 1.43-1.58, p<0.001 and live donor recipients HR: 1.45, 95% CI: 1.32-1.60, p<0.001). Thirty days posttransplant represents a high-risk window for KT recipients and the readmissions during this window are strong predictors of adverse sequelae, particularly LHRs. Efforts should be made to implement and improve systems to reduce LHR and subsequent graft loss and mortality among recipients with EHR.

Risk factors for readmission after lower extremity bypass in the American College of Surgeons National Surgery Quality Improvement Program

OBJECTIVE

Readmission is associated with high mortality, morbidity, and cost. We used the American College of Surgeons National Surgery Quality Improvement Program (ACS-NSQIP) to determine risk factors for readmission after lower extremity bypass (LEB).

METHODS

We identified all patients who received LEB in the 2011 ACS-NSQIP database. Multivariable logistic regression was used to assess independent predictors of 30-day readmission. We also identified our institutional contribution of LEB patients to the ACS-NSQIP from 2005 to 2011 to determine our institution's rate of readmission and readmission indications.

RESULTS

Among 5018 patients undergoing LEB, ACS-NSQIP readmission analysis was performed on 4512, excluding those whose readmission data were unavailable, who suffered a death on index admission, or who remained in the hospital at 30 days. Overall readmission rate was 18%, and readmission rate of those with NSQIP-captured complications was 8%. Multivariable predictors of readmission were dependent functional status (odds ratio [OR], 1.40; 95% confidence interval [CI], 1.08-1.79), dyspnea (OR, 1.28; 95% CI, 1.02-1.60), cardiac comorbidity (OR, 1.46; 95% CI, 1.16-1.84), dialysis dependence (OR, 1.44; 95% CI, 1.05-1.97), obesity (OR, 1.28; 95% CI, 1.07-1.53), malnutrition (OR, 1.42; 95% CI, 1.12-1.79), critical limb ischemia operative indication (OR, 1.40; 95% CI, 1.10-1.79), and return to the operating room on index admission (OR, 8.0; 95% CI, 6.68-9.60). The most common postdischarge complications occurring in readmitted patients included wound complications (55%), multiple complications (22%), and graft failure (5%). Our institutional data contributed 465 LEB patients to the ACS-NSQIP from 2005 to 2012, with an overall readmission rate of 14%. Unplanned readmissions related to the original LEB (related unplanned) made up 75% of cases. The remainder 25% included readmissions that were planned staged procedures related to the original LEB (related planned, 11%) and admissions for a completely unrelated reason (unrelated unplanned, 14%). The most common readmission indications included wound infection (37%) and graft failure (10%). Readmissions were attributable to NSQIP-captured postdischarge complications in 44% of cases, an additional 44% had a non-NSQIP-defined reason for readmission, and the remainder (12%) included patients admitted for complications described in NSQIP but not meeting strict NSQIP criteria.

CONCLUSIONS

Readmissions are common after LEB. Optimization of select chronic conditions, closer follow-up of patients in poor health and those who required return to the operating room, and early detection of surgical site infections may improve readmission rates. Our finding that 25% of readmissions after LEB are not procedure related informs the broader discussion of how a readmission penalty affects vascular surgery in particular.

Rehospitalization to primary versus different facilities following abdominal aortic aneurysm repair

OBJECTIVE

Reducing readmissions represents a unique opportunity to improve care and reduce health care costs and is the focus of major payers. A large number of surgical patients are readmitted to hospitals other than where the primary surgery was performed, resulting in clinical decisions that do not incorporate the primary surgeon and potentially alter outcomes. This study characterizes readmission to primary vs different hospitals after abdominal aortic aneurysm (AAA) repair and examines the implications with regard to mortality and cost.

METHODS

Patients who underwent open or endovascular aneurysm repair for AAA were identified from the Centers for Medicare and Medicaid Services Chronic Conditions Warehouse, a random 5% national sample of Medicare beneficiaries from 2005 to 2009. Outcomes for patients who underwent AAA repair and were readmitted within 30 days of initial discharge were compared based on readmission location (primary vs different hospital).

RESULTS

A total of 885 patients underwent AAA repair and were readmitted within 30 days. Of these, 626 (70.7%) returned to the primary facility, and 259 (29.3%) returned to a different facility. Greater distance from patient residence to the primary hospital was the strongest predictor of readmission to a different facility. Patients living 50 to 100 miles from the primary hospital were more likely to be readmitted to a different hospital compared with patients living <10 miles away (odds ratio, 8.50; P < .001). Patients with diagnoses directly related to the surgery (eg, wound infection) were more likely to be readmitted to the primary hospital, whereas medical diagnoses (eg, pneumonia and congestive heart failure) were more likely to be treated at a different hospital. There was no statistically significant difference in mortality between patients readmitted to a different or the primary hospital. Median total 30-day payments were significantly lower at different vs primary hospitals (primary, $11,978 vs different, $11,168; P = .04).

CONCLUSIONS

Readmission to a different facility after AAA repair is common and occurs more frequently than for the overall Medicare population. Patients travelling a greater distance for AAA repair are more likely to return to different vs the primary hospital when further care is required. For AAA repair, quality healthcare may be achieved at marginally lower cost and with greater patient convenience for selected readmissions at hospitals other than where the initial procedure was performed.

Hospital readmissions after colectomy: a population-based study

BACKGROUND

Surgical readmissions will be targeted for reimbursement cuts in the near future. We sought to understand differences between hospitals with high and low readmission rates in a statewide surgical collaborative to identify potential quality improvement targets.

STUDY DESIGN

We studied 5,181 patients undergoing laparoscopic or open colectomy at 24 hospitals participating in the Michigan Surgical Quality Collaborative between May 2007 and January 2011. We first calculated hospital risk-adjusted 30-day readmission rates. We then compared reasons for readmission, risk-adjusted complication rates, risk-adjusted inpatient length of stay, and composite process compliance across readmission rate quartiles.

RESULTS

Hospitals with the lowest 30-day readmission rates averaged 5.1%, compared with 10.3% in hospitals with the highest rates (p < 0.01). Despite wide variability in readmission rates, reasons for readmission were similar between hospitals. Compared with hospitals with low readmission rates, hospitals with high readmission rates had higher risk-adjusted complication rates (29% vs 22%, p = 0.03), but similar median lengths of stay (5.5 days vs 5.6 days, p = 0.61). Although measures to reduce complications were associated with lower surgical site infection rates, they were not associated with reduced overall complication or readmission rates. There was wide variation in complication rates among hospitals with similar readmission rates.

CONCLUSIONS

There is wide variation in hospital readmission rates after colectomy that correlates with overall complication rates. However, the wide variation in complication rates among hospitals with similar readmission rates suggests that hospital complication rates explain little about their readmission rates. Preventing readmissions after colectomy in hospitals with high readmission rates will require more attention to different care processes currently unmeasured in many clinical registries as well as complication prevention.

Hospitalization rates and post-operative mortality for abdominal aortic aneurysm in Italy over the period 2000-2011

Background

Recent studies have reported declines in incidence, prevalence and mortality for abdominal aortic aneurysms (AAAs) in various countries, but evidence from Mediterranean countries is lacking. The aim of this study is to examine the trend of hospitalization and post-operative mortality rates for AAAs in Italy during the period 2000–2011, taking into account the introduction of endovascular aneurysm repair (EVAR) in 1990s.

Methods

This retrospective cohort study was carried out in Emilia-Romagna, an Italian region with 4.5 million inhabitants. A total of 19,673 patients hospitalized for AAAs between 2000 and 2011, were identified from the hospital discharge records (HDR) database. Hospitalization rates, percentage of OSR and EVAR and 30-day mortality rates were calculated for unruptured (uAAAs) and ruptured AAAs (rAAAs).

Results

Adjusted hospitalization rates decreased on average by 2.9% per year for uAAAs and 3.2% for rAAAs (p<0.001). The temporal trend of 30-day mortality rates remained stable for both groups. The percentage of EVAR for uAAAs increased significantly from 2006 to 2011 (42.7 versus 60.9% respectively, mean change of 3.9% per year, p<0.001). No significant difference in mortality was found between OSR and EVAR for uAAAs and rAAAs.

Conclusions

The incidence and trend of hospitalization rates for rAAAs and uAAAs decreased significantly in the last decade, while 30-day mortality rates in operated patients remained stable. OSR continued to be the most common surgery in rAAAs, although the gap between OSR and EVAR recently declined. The EVAR technique became the preferred surgery for uAAAs since 2008.

Clinical characteristics associated with readmission among patients undergoing vascular surgery

OBJECTIVE

Readmission after a vascular surgery intervention is frequent, costly, and often considered preventable. Vascular surgery outcomes have recently been scrutinized by Medicare because of the high rates of readmission. We determined patient and clinical characteristics associated with readmission in a cohort of vascular surgery patients.

METHODS

From 2009 to 2013, the medical records of all patients (n = 2505) undergoing interventions by the vascular surgery service at a single tertiary care institution were retrospectively reviewed. Sociodemographic and clinical characteristics were examined for association with 30-day readmission to the same institution.

RESULTS

The 30-day readmission rate to the same institution was 9.7 % (n = 244). Procedures most likely to result in readmission were below-knee (25%), foot (22%), and toe amputations (19%), as well as lower extremity revascularization (22%). Patients covered by Medicaid (16.8%) and Medicare (10.0%) were most likely to be readmitted, followed by fee-for-service (9.5%), self-pay (8.0%), and health maintenance organizations (5.5%; P < .05). Patients urgently admitted were more likely to be readmitted (16.2%) than those electively admitted (9.1%; P < .01). Patient severity as rated using the All Patient Refined Diagnosis Related Groups software (3M Health Information Systems, Wallingford, Conn) predicted readmission (16.2% high vs 6.2% low severity; P < .01). Initial length of stay was longer for readmitted than nonreadmitted patients (8.5 vs 6.1 days, respectively; P < .01). Intensive care unit admission during the initial hospitalization was associated with higher readmission rates in univariable analysis (18.3% with vs 9.5% without intensive care unit stay; P < .05). Discharge destination was also a strong predictor of readmission (rehabilitation, 19.2%; skilled nursing facility, 16.2%; home, 6.2%; P < .01). The effects of urgent admission, proximity to hospital, length of stay, lower extremity open procedure or amputation, and discharge destination persisted in multivariable logistic regression (P < .05).

CONCLUSIONS

To reduce readmission rates effectively, institutions must identify high-risk patients. Efforts should focus on subgroups undergoing selected interventions (amputations, lower extremity revascularization), those with urgent admissions, and patients with extended hospital stays. Patients in need of postacute care upon discharge are especially prone to readmission, requiring special attention to discharge planning and coordination of postdischarge care. By focusing on subgroups at risk for readmission, preventative resources can be efficiently targeted.

Identification of modifiable factors for reducing readmission after colectomy: a national analysis

BACKGROUND

Rates of hospital readmission are currently used for public reporting and pay for performance. Colectomy procedures account for a large number of readmissions among operative procedures. Our objective was to compare the importance of 3 groups of clinical variables (demographics, preoperative risk factors, and postoperative complications) in predicting readmission after colectomy procedures.

METHODS

Patient records (2005-2008) from the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) were linked to Medicare inpatient claims. Patient demographics (n = 2), preoperative risk factors (n = 23), and 30-day postoperative complications (n = 17) were identified from ACS-NSQIP, whereas 30-day postoperative readmissions and costs were determined from Medicare. Multivariable logistic regression models were used to examine risk-adjusted predictors of colectomy readmission.

RESULTS

Among 12,981 colectomy patients, the 30-day postoperative readmission rate was 13.5%. Readmitted patients had slightly greater rates of comorbidities and indicators of clinical severity and substantially greater rates of complications than non-readmitted patients. After risk adjustment, patients with a complication were 3.3 times as likely to be readmitted as patients without a complication. Among individual complications, progressive renal failure and organ-space surgical site infection had the highest risk-adjusted relative risks of readmission (4.6 and 4.0, respectively). Demographic, preoperative risk factor, and postoperative complication variables increased the ability to discriminate readmissions (reflected by the c-statistic) by 5.3%, 23.3%, and 35.4%, respectively.

CONCLUSION

Postoperative complications after colectomy are more predictive of readmission than traditional risk factors. Focusing quality improvement efforts on preventing and managing postoperative complications may be the most important step toward reducing readmission rates.

Unplanned readmissions after vascular surgery

OBJECTIVE

Existing literature on readmission after vascular surgery is limited. The upcoming reduction in Medicare reimbursement for institutions with high readmission rates mandates an accurate understanding of this issue. In this study, we characterize the frequency and causes of 30-day unplanned readmissions after elective vascular surgery.

METHODS

Patients who underwent elective carotid endarterectomy (CEA), endovascular aortic repair (EVAR), open abdominal aortic aneurysm (oAAA) repair, or infrainguinal bypass grafting (BPG) were identified from the American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) 2011 database (n = 11,246). Multivariable logistic regression was used to determine variables that contributed to 30-day unplanned readmissions for each surgery type.

RESULTS

The unadjusted unplanned readmission rates after the four vascular procedures ranged from 6.5% for CEA to 15.7% for BPG. In multivariable analyses, patient comorbidities were associated with unplanned readmission after BPG and CEA (P < .05), whereas postoperative complications were more consistently associated with unplanned readmission after EVAR and oAAA repair (P < .05). For all procedures, complications leading to readmission developed more frequently after discharge. Thirty-day mortality was significantly higher in readmitted patients after BPG (1.9% vs 0.3%), EVAR (3.9% vs 0.1%), and CEA (2.2% vs 0.2%; P < .001 for each), but not after oAAA repair.

CONCLUSIONS

Select comorbidities and postoperative complications contribute to unplanned readmissions after vascular surgery. The characteristics of readmitted patients vary with the type of procedure. Interventions designed to mitigate these factors have the potential to reduce unplanned readmissions but likely need to vary with the type of vascular treatment.

Variation in surgical-readmission rates and quality of hospital care

BACKGROUND

Reducing hospital-readmission rates is a clinical and policy priority, but little is known about variation in rates of readmission after major surgery and whether these rates at a given hospital are related to other markers of the quality of surgical care.

METHODS

Using national Medicare data, we calculated 30-day readmission rates after hospitalization for coronary-artery bypass grafting, pulmonary lobectomy, endovascular repair of abdominal aortic aneurysm, open repair of abdominal aortic aneurysm, colectomy, and hip replacement. We used bivariate and multivariate techniques to assess the relationships between readmission rates and other measures of surgical quality, including adherence to surgical process measures, procedure volume, and mortality.

RESULTS

For the six index procedures, there were 479,471 discharges from 3004 hospitals. The median risk-adjusted composite readmission rate at 30 days was 13.1% (interquartile range, 9.9 to 17.1). In a multivariate model adjusting for hospital characteristics, we found that hospitals in the highest quartile for surgical volume had a significantly lower composite readmission rate than hospitals in the lowest quartile (12.7% vs. 16.8%, P<0.001), and hospitals with the lowest surgical mortality rates had a significantly lower readmission rate than hospitals with the highest mortality rates (13.3% vs. 14.2%, P<0.001). High adherence to reported surgical process measures was only marginally associated with reduced readmission rates (highest quartile vs. lowest quartile, 13.1% vs. 13.6%; P=0.02). Patterns were similar when each of the six major surgical procedures was examined individually.

CONCLUSIONS

Nearly one in seven patients hospitalized for a major surgical procedure is readmitted to the hospital within 30 days after discharge. Hospitals with high surgical volume and low surgical mortality have lower rates of surgical readmission than other hospitals.