Thirty-day unplanned postoperative inpatient and emergency department visits following thoracotomy

Understanding Racial Differences in Lung Cancer Surgery Through a Statewide Quality Collaborative

BACKGROUND

Persistent racial disparities in lung cancer incidence, treatment, and survival are well documented. Given the importance of surgical resection for lung cancer treatment, racial disparities in surgical quality were investigated using a statewide quality collaborative.

METHODS

This retrospective study used data from the Michigan Society of Cardiothoracic Surgeons General Thoracic database, which includes data gathered for the Society of Thoracic Surgeons General Thoracic Surgery Database at 17 institutions in Michigan. Adult patients undergoing resection for lung cancer between 2015 and 2021 were included. Propensity score-weighting methodology was used to assess differences in surgical quality, including extent of resection, adequate lymph node evaluation, 30-day mortality, and 30-day readmission rate between white and black patients.

RESULTS

The cohort included 5073 patients comprising 357 (7%) black and 4716 (93%) white patients. The black patients had significantly higher unadjusted rates of wedge resection than the white patients, but after propensity score-weighting for clinical factors, wedge resection did not differ from lobectomy (odds ratio [OR], 1.07; 95% confidence interval [CI], 0.78-1.49; P = 0.67). The black patients had fewer lymph nodes collected (incidence rate ratio [IRR], 0.77; 95% CI, 0.73-0.81; P < 0.0001) and lymph node stations sampled (IRR, 0.89; 95% CI, 0.84-0.94; P < 0.0001). The black patients did not differ from the white patients in terms of mortality (OR, 0.65; 95% CI, 0.19-2.34; P = 0.55) or readmission (OR, 0.79; 95 % CI, 0.49-1.27; P = 0.32). The black patients had longer hospital stays (OR, 1.08; 95% CI, 1.02-1.14; P = 0.01).

CONCLUSION

In a statewide quality collaborative that included high-volume centers, black patients received a less extensive lymph node evaluation, with fewer non-anatomic wedge resections performed, and a more limited lymph node evaluation with lobectomy.

Predictors of Readmission After Pulmonary Resection in Patients With Lung Cancer: A Systematic Review and Meta-analysis

Objective: Postoperative readmissions are considered an indicator of healthcare quality. The purpose of this study was to assess the factors associated with readmission following pulmonary resection for lung cancer. Methods: A comprehensive search was performed in PubMed, Web of science, the Cochrane Library, and databases of CNKI and Wanfang. We collected the factors associated with readmission following pulmonary resection from the included studies, and data analysis was conducted with STATA SE12.0 software. Results: A total of 11 studies (386 012 participants) were included. The meta-analysis results showed that age (standardized mean difference [SMD] = 0.093), male sex (odds ratio [OR] = 1.260), Charlson score (SMD = 1.408), forced expiratory volume in 1 second predicted (SMD = -0.203), congestive heart failure (OR = 1.708), peripheral vascular disease (OR = 1.436), and histology (OR = 0.804) were associated with readmission (P < .05), while hypertension was not. Patients with postoperative empyema, pneumonia, air leak, and arrhythmia (all P < .05) had higher odds of hospital readmission. Conclusion: The predictive factors for readmission can help in establishing individualized discharge and follow-up plans and programs for reducing hospital readmissions after pulmonary resection in patients with lung cancer.

Characterizing 30-d Postoperative Acute Care Visits: A National Surgical Quality Improvement Program Collaborative Analysis

INTRODUCTION

Many postoperative acute care visits (PACVs) are likely more appropriately addressed in lower acuity settings; however, the frequency and nature of PACVs are not currently tracked by the National Surgical Quality Improvement Program (NSQIP), and the overall burden to emergency departments and urgent care centers is unknown.

METHODS

NSQIP collaborative data were augmented to prospectively capture 30-d PACVs for 1 y starting October 2018 across all NSQIP specialties, including visit reason and disposition. Data were analyzed using binomial logistic regression.

RESULTS

A total of 9933 patients were identified; 12.0% (n = 1193) presented to an acute care setting over 1413 visits, most commonly for surgical pain (15.4%) in the absence of an identified complication. Visits most commonly resulted in discharge (n = 817, 68.5%) or admission (n = 343, 24.3%). Variables independently associated with visits resulting in discharge included age (odds ratio [OR] 0.99 per year, P < 0.001), increasing comorbidities (1-2 [OR 1.55, P < 0.001]; 3-4 [OR 2.51, P < 0.001]; 5+ [OR 2.79 P < 0.001]), operative duration (OR 1.08 per hour, P = 0.001), and nonelective (OR 1.20, P = 0.01) or urologic (OR 1.46, P = 0.01) procedures.

CONCLUSIONS

PACVs are an overlooked burden on emergency medicine providers and healthcare systems; most do not require admission and could be potentially triaged outside of the acute care setting with improved perioperative care infrastructure. Younger patients, those with multiple comorbidities, and those undergoing nonelective procedures deserve special attention when designing initiatives to address postoperative acute care utilization. Data regarding PACVs can be routinely collected with minor modifications to current NSQIP workflows.

Incidence and risk factors of unplanned emergency department visits following thoracic surgery

Background

Unplanned visits for care following a surgical procedure can represent a lapse in quality of care. The purpose of this study was to define the proportion of patients undergoing thoracic surgery who return to the emergency department (ED) within 6 months after discharge and the reasons for the returns. In addition, the risk factors for ED visits after thoracic surgery were identified.

Methods

All adult patients undergoing thoracic surgery at the Leiden University Medical Center between January 1, 2016, and December 31, 2017, were reviewed. To identify potential risk factors for ED return visits, a multivariate regression analysis was performed. A subgroup analysis of patients who reported pain during the ED visit was performed to identify the risk factors for pain-related return to the ED.

Results

Of 277 patients who underwent thoracic surgery, 27.4% (n = 76) returned to the ED within 6 months after discharge. Among these patients, 41 (53.9%) presented with postoperative pain. Younger patients (odds ratio [OR], 0.98; P = .04), those who were operated on through a thoracotomy (OR, 2.92; P = .04), and those reporting a high pain score on the ward (OR, 1.98; P < .001) were at increased risk of returning to the ED.

Conclusions

The rate of patients returning to the ED after thoracic surgery was high. Pain was the most frequently reported reason for unplanned ED visits. The results of this study highlight the need to optimize the postoperative care and the follow-up of patients undergoing thoracic surgery.

[Readmissions after lung resection in France: The PMSI database]

BACKGROUND

Readmission within 30 days is an indicator of the quality of care, because it often reflects post-discharge care that is not optimal. The objective of this work is to measure over time on the one hand the readmission rate and on the other hand the number of hospitals with a standardized readmission rate beyond the national average.

METHOD

All patients with major pulmonary resection for lung cancer in France were extracted from the PMSI national database. Readmission within 30 days was defined as any new hospitalization either in the same hospital or in another establishment.

RESULTS

From January 1, 2005 to December 31, 2018, 110,603 patients were included. The 30-day all-cause readmissions rate was 24.9% (n=27,540). Patients after pneumonectomy had a readmission rate of 37% (n=4918) and 23% after lobectomy (n=2684) (P<0.0001). For the first period, we counted 10 hospitals with a standardized readmissions rate above the 99.8 limit and 10 hospitals above the 95% limit. For the second period, 8 hospitals had a standardized readmission rate above the 99.8% limit and 11 hospitals above the 95% limit. For the third period, 7 hospitals had a standardized readmission rate above the 99.8% limit and 6 hospitals above the 95% limit.

CONCLUSION

Readmissions to hospital 30 days after major lung resection for cancer in France declined little during these three periods. Measures to prevent readmissions should be introduced.

Emergency Department Visits Following Suboccipital Decompression for Adult Chiari Malformation Type I

BACKGROUND

Postoperative emergency department (ED) visits following suboccipital decompression in Chiari malformation type I (CM-1) patients are not well described. We sought to evaluate the magnitude, etiology, and significance of postoperative ED service utilization in adult CM-1 patients at a tertiary referral center.

METHODS

A prospectively maintained database of CM-1 patients seen at our institution between January 1, 2006 and December 31, 2019 was used. ED visits occurring within 30 days after surgery were tracked for postoperative patients, while comparing clinical, imaging, and operative characteristics between patients with and without an ED visit. Clinical improvement at last follow-up was also compared between both groups of patients in a univariable and multivariable analysis using the Chicago Chiari Outcome Scale (CCOS).

RESULTS

In 175 surgically treated patients, 44 (25%) visited an ED in the 1-month period after surgery. The most common reason for seeking care was isolated headache (41%), and concentration disturbance at presentation was the only factor significantly associated with a postoperative ED visit (P = 0.023). The occurrence of a postoperative ED visit was independently associated with a lower chance of clinical improvement at last follow-up (adjusted odds ratio of CCOS ≥13 = 0.35, P = 0.021; adjusted odds ratio of CCOS ≥14 = 0.38, P = 0.016).

CONCLUSIONS

Adult CM-1 patients undergoing surgery at a tertiary referral center have an elevated rate of postoperative ED visits, which are mostly due to pain-related complaints. Such visits are hard to predict but are associated with worse long-term clinical outcome. Interventions that decrease the magnitude of postoperative ED service utilization are warranted.

Impact of the integrated comprehensive care program post-thoracic surgery: A propensity score-matched study

OBJECTIVE

Thoracic surgery is associated with significant rates of postoperative morbidity and postdischarge return to the hospital or emergency department (ED). This study aims to assess the impact of a novel integrated patient-centered, hospital-based multidisciplinary community program (Integrated Comprehensive Care [ICC]) on postdischarge outcomes in patients undergoing thoracic surgery compared to routine care.

METHODS

This was a retrospective cohort study of patients who underwent surgical resection for lung malignancies at a tertiary care center from 2010 to 2014. Patients were divided into 2 cohorts based on their enrollment in the ICC program (intervention cohort; 2012-2014) or routine postoperative care (control cohort; 2010-2012). Propensity score matching was performed to match the 2 cohorts. The impact of the ICC program on postoperative length of stay (LOS), rate of ED visits, readmissions, and mortality within the first 60 days was assessed.

RESULTS

Of the 1288 patients included in this study, 658 (51.1%) were male patients with mean age of 64 years (standard deviation 14.1 years). After propensity score matching, 478 patients were enrolled in the ICC cohort and 592 were enrolled as controls. The ICC cohort had significantly shorter LOS (4 days, vs 5 days in controls, P = .001), lower rate of 60-day ED visits (9.8% vs 28.4% in controls, P < .001), and readmissions (6.9% vs 8.6% in controls, P < .001). The 60-day mortality was also significantly lower in the ICC cohort compared with the control group (0.6% vs 0.8% in controls, P < .001).

CONCLUSIONS

The ICC program is associated with shorter LOS, fewer ED visits and readmissions after discharge, and ultimately may decrease postoperative mortality.

Trajectory analysis for postoperative pain using electronic health records: A nonparametric method with robust linear regression and K-medians cluster analysis

Postoperative pain scores are widely monitored and collected in the electronic health record, yet current methods fail to fully leverage the data with fast implementation. A robust linear regression was fitted to describe the association between the log-scaled pain score and time from discharge after total knee replacement. The estimated trajectories were used for a subsequent K-medians cluster analysis to categorize the longitudinal pain score patterns into distinct clusters. For each cluster, a mixture regression model estimated the association between pain score and time to discharge adjusting for confounding. The fitted regression model generated the pain trajectory pattern for given cluster. Finally, regression analyses examined the association between pain trajectories and patient outcomes. A total of 3442 surgeries were identified with a median of 22 pain scores at an academic hospital during 2009-2016. Four pain trajectory patterns were identified and one was associated with higher rates of outcomes. In conclusion, we described a novel approach with fast implementation to model patients' pain experience using electronic health records. In the era of big data science, clinical research should be learning from all available data regarding a patient's episode of care instead of focusing on the "average" patient outcomes.