Readmission after lung cancer resection is associated with a 6-fold increase in 90-day postoperative mortality

Impact of Modified Frailty Index on Readmissions Following Surgery for NSCLC

BACKGROUND

 Analyzing the risk factors that predict readmissions can potentially lead to more individualized patient care. The 11-factor modified frailty index is a valuable tool for predicting postoperative outcomes following surgery. The objective of this study is to determine whether the frailty index can effectively predict readmissions within 90 days after lung resection surgery in cancer patients within a single health care institution.

METHODS

 Patients who underwent elective pulmonary resection for nonsmall cell lung cancer (NSCLC) between January 2012 and December 2020 were selected from the hospital's database. Patients who were readmitted after surgery were compared to those who were not, based on their data. Propensity score matching was employed to enhance sample homogeneity, and further analyses were conducted on this newly balanced sample.

RESULTS

 A total of 439 patients, with an age range of 68 to 77 and a mean age of 72, were identified. Among them, 55 patients (12.5%) experienced unplanned readmissions within 90 days, with an average hospital stay of 29.4 days. Respiratory failure, pneumonia, and cardiac issues accounted for approximately 67% of these readmissions. After propensity score matching, it was evident that frail patients had a significantly higher risk of readmission. Additionally, frail patients had a higher incidence of postoperative complications and exhibited poorer survival outcomes with statistical significance.

CONCLUSION

 The 11-item modified frailty index is a reliable predictor of readmissions following pulmonary resection in NSCLC patients. Furthermore, it is significantly associated with both survival and postoperative complications.

Systematic Literature Review to Identify Cost and Resource Use Data in Patients with Early-Stage Non-small Cell Lung Cancer (NSCLC)

BACKGROUND

Approximately 2 million new cases and 1.76 million deaths occur annually due to lung cancer, with the main histological subtype being non-small cell lung cancer (NSCLC). The costs and resource use associated with NSCLC are important considerations to understand the economic impact imposed by the disease on patients, caregivers and healthcare services.

OBJECTIVE

The objective of this systematic literature review (SLR) is to provide a comprehensive overview of the available direct medical costs, direct non-medical costs, indirect costs, cost drivers and resource use data available for patients with early-stage NSCLC.

METHODS

Electronic searches were conducted via the Ovid platform in March 2021 and June 2022 and were supplemented by grey literature searches. Eligible patients had early-stage (stage I-III) resectable NSCLC and received treatment in the neoadjuvant or adjuvant setting. There was no restriction on intervention or comparators. Publication date was restricted to 2011 onwards, and English language publications or non-English language publications with an English abstract were of primary interest. Due to the anticipation of many studies meeting the inclusion criteria, analyses were restricted to full publications from countries of primary interest (Australia, Brazil, Canada, China, France, Germany, Italy, Japan, South Korea, Spain, UK and the US) and those with > 200 patients. The Molinier checklist was applied to conduct quality assessment.

RESULTS

Forty-two full publications met the eligibility criteria and were included in this SLR. Early-stage NSCLC was associated with significant direct medical costs and healthcare utilisation, and the economic burden of the disease increased with its progression. Surgery was the primary cost driver in stage I patients, but as patients progressed to stage II and III, treatments such as chemotherapy and radiotherapy, and inpatient care became the main cost drivers. There was no significant difference in resource use between patients with early-stage disease. However, these data were heavily US-centric and there was a paucity of data relating to direct non-medical and indirect costs associated with early-stage NSCLC.

CONCLUSIONS

Preventing disease progression for patients with NSCLC could reduce the economic burden of NSCLC on patients, caregivers and healthcare systems. This review provides a comprehensive overview of the available cost and resource use data in this indication, which is important in guiding the decisions of policy makers regarding the allocation of resources. However, it also indicates a need for more studies comparing the economic impact of NSCLC in markets in addition to the US.

Development and Validation of the VA Lung Cancer Mortality (VALCAN-M) Score for 90-Day Mortality Following Surgical Treatment of Clinical Stage I Lung Cancer

OBJECTIVE

The aim was to develop and validate the Veterans Administration (VA) Lung Cancer Mortality (VALCAN-M) score, a risk prediction model for 90-day mortality following surgical treatment of clinical stage I nonsmall-cell lung cancer (NSCLC).

BACKGROUND

While surgery remains the preferred treatment for functionally fit patients with early-stage NSCLC, less invasive, nonsurgical treatments have emerged for high-risk patients. Accurate risk prediction models for postoperative mortality may aid surgeons and other providers in optimizing patient-centered treatment plans.

METHODS

We performed a retrospective cohort study using a uniquely compiled VA data set including all Veterans with clinical stage I NSCLC undergoing surgical treatment between 2006 and 2016. Patients were randomly split into derivation and validation cohorts. We derived the VALCAN-M score based on multivariable logistic regression modeling of patient and treatment variables and 90-day mortality.

RESULTS

A total of 9749 patients were included (derivation cohort: n=6825, 70.0%; validation cohort: n=2924, 30.0%). The 90-day mortality rate was 4.0% (n=390). The final multivariable model included 11 factors that were associated with 90-day mortality: age, body mass index, history of heart failure, forced expiratory volume (% predicted), history of peripheral vascular disease, functional status, delayed surgery, American Society of Anesthesiology performance status, tumor histology, extent of resection (lobectomy, wedge, segmentectomy, or pneumonectomy), and surgical approach (minimally invasive or open). The c statistic was 0.739 (95% CI=0.708-0.771) in the derivation cohort.

CONCLUSIONS

The VALCAN-M score uses readily available treatment-related variables to reliably predict 90-day operative mortality. This score can aid surgeons and other providers in objectively discussing operative risk among high-risk patients with clinical stage I NSCLC considering surgery versus other definitive therapies.

Exploring equity in cancer treatment, survivorship, and service utilisation for culturally and linguistically diverse migrant populations living in Queensland, Australia: a retrospective cohort study

BACKGROUND

There is strong international evidence documenting inequities in cancer care for migrant populations. In Australia, there is limited information regarding cancer equity for Culturally and Linguistically Diverse (CALD) migrant populations, defined in this study as migrants born in a country or region where English is not the primary language. This study sought to quantify and compare cancer treatment, survivorship, and service utilisation measures between CALD migrant and Australian born cancer populations.

METHODS

A retrospective cohort study was conducted utilising electronic medical records at a major, tertiary hospital. Inpatient and outpatient encounters were assessed for all individuals diagnosed with a solid tumour malignancy in the year 2016 and followed for a total of five years. Individuals were screened for inclusion in the CALD migrant or Australian born cohort. Bivariate analysis and multivariate logistic regression were used to compare treatment, survivorship, and service utilisation measures. Sociodemographic measures included age, sex, post code, employment, region of birth and marital status.

RESULTS

A total of 523 individuals were included, with 117 (22%) in the CALD migrant cohort and 406 (78%) in the Australian-born cohort. CALD migrants displayed a statistically significant difference in time from diagnosis to commencement of first treatment for radiation (P = 0.03) and surgery (P = 0.02) and had 16.6 times higher odds of declining recommended chemotherapy than those born in Australia (P = 0.00). Survivorship indicators favoured CALD migrants in mean time from diagnosis to death, however their odds of experiencing disease progression during the study period were 1.6 times higher than those born in Australia (P = 0.04). Service utilisation measures displayed that CALD migrants exhibited higher numbers of unplanned admissions (P = < 0.00), longer cumulative length of those admissions (P = < 0.00) and higher failure to attend scheduled appointments (P = < 0.00).

CONCLUSION

This novel study has produced valuable findings in the areas of treatment, survivorship, and service utilisation for a neglected population in cancer research. The differences identified suggest potential issues of institutional inaccessibility. Future research is needed to examine the clinical impacts of these health differences in the field of cancer care, including the social and institutional determinants of influence.

Predictors of unplanned hospital readmission after non-cardiac surgery in Singapore: a 2-year retrospective review

INTRODUCTION

Unplanned hospital readmissions after surgery contribute significantly to healthcare costs and potential complications. Identifying predictors of readmission is inherently complex and involves an intricate interplay between medical factors, healthcare system factors and sociocultural factors. Therefore, the aim of this study was to elucidate the predictors of readmissions in an Asian surgical patient population.

METHODS

A two-year single-institution retrospective cohort study of 2744 patients was performed in a university-affiliated tertiary hospital in Singapore, including patients aged 45 and above undergoing intermediate or high-risk non-cardiac surgery. Unadjusted analysis was first performed, followed by multivariable logistic regression.

RESULTS

Two hundred forty-nine patients (9.1%) had unplanned 30-day readmissions. Significant predictors identified from multivariable analysis include: American Society of Anaesthesiologists (ASA) Classification grades 3 to 5 (adjusted OR 1.51, 95% CI 1.10-2.08, p = 0.01), obesity (adjusted OR 1.66, 95% CI 1.18-2.34, p = 0.04), asthma (OR 1.70, 95% CI 1.03-2.81, p = 0.04), renal disease (OR 2.03, 95% CI 1.41-2.92, p < 0.001), malignancy (OR 1.68, 95% CI 1.29-2.37, p < 0.001), chronic obstructive pulmonary disease (OR 2.46, 95% CI 1.19-5.11, p = 0.02), cerebrovascular disease (OR 1.73, 95% CI 1.17-2.58, p < 0.001) and anaemia (OR 1.45, 95% CI 1.07-1.96, p = 0.02).

CONCLUSION

Several significant predictors of unplanned readmissions identified in this Asian surgical population corroborate well with findings from Western studies. Further research will require future prospective studies and development of predictive risk modelling to further address and mitigate this phenomenon.

Risk Factors for Return to the Emergency Department and Readmission in Patients With Hospital-Diagnosed Advanced Lung Cancer

BACKGROUND

Advanced lung cancer (ALC) is a symptomatic disease often diagnosed in the context of hospitalization. The index hospitalization may be a window of opportunity to improve care delivery.

OBJECTIVES

We examined the patterns of care and risk factors for subsequent acute care utilization among patients with hospital-diagnosed ALC.

RESEARCH DESIGN, SUBJECTS, AND MEASURES

In Surveillance, Epidemiology, and End Results-Medicare, we identified patients with incident ALC (stage IIIB-IV small cell or non-small cell) from 2007 to 2013 and an index hospitalization within 7 days of diagnosis. We used a time-to-event model with multivariable regression to identify risk factors for 30-day acute care utilization (emergency department use or readmission).

RESULTS

More than half of incident ALC patients were hospitalized around the time of diagnosis. Among 25,627 patients with hospital-diagnosed ALC who survived to discharge, only 37% ever received systemic cancer treatment. Within 6 months, 53% had been readmitted, 50% had enrolled in hospice, and 70% had died. The 30-day acute care utilization was 38%.Small cell histology, greater comorbidity, precancer acute care use, length of index stay >8 days, and prescription of a wheelchair were associated with higher risk of 30-day acute care utilization. Age >85 years, female sex, residence in South or West regions, palliative care consultation, and discharge to hospice or a facility were associated with lower risk.

CONCLUSIONS

Many patients with hospital-diagnosed ALC experience an early return to the hospital and most die within 6 months. These patients may benefit from increased access to palliative and other supportive care during index hospitalization to prevent subsequent health care utilization.

Assessment of short readmissions following elective pulmonary lobectomy

BACKGROUND

Reducing readmissions is critical for improving patient care and lowering costs. Despite this, few studies have assessed length of readmission following pulmonary lobectomy.

METHODS

Using the Healthcare Cost and Utilization Project New York State Inpatient Database, we identified adult patients undergoing elective pulmonary lobectomy (2007-2015) and assessed readmission within 30 days of hospital discharge. We analyzed the relationship between length of readmission and post-operative morbidity and mortality as well as primary diagnoses at readmission.

RESULTS

Of 19947 included patients, 2173 (10.9%) were readmitted within 30 days. The median (IQR) length of readmission was 5 (2-8) days. Longer length of readmission was associated with significantly higher likelihood of major complication (for every 1-day increase, aOR = 1.14, 95% CI = 1.12-1.17, p < 0.001) and mortality (aOR = 1.03, 95% CI = 1.02-1.04, p < 0.001) within 90 days. Primary diagnosis codes at readmission differed significantly with length of readmission.

CONCLUSIONS

Interventions that target short readmissions may help to prevent a proportion of readmissions following elective lung resection.

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.

The Effect of Nurse Staffing on Patient Outcomes in Acute Care Hospitals in Korea

Nurse staffing is an important factor influencing patient health outcomes. This study aimed to analyze the effects of nurse staffing on patient health outcomes, such as length of stay, mortality within 30 days of hospitalization, and readmission within 7 days of discharge, in acute care hospitals in Korea. Data from the first quarter of 2018 were collected using public and inpatient sample data from the Health Insurance Review and Assessment Service. The data of 46,196 patients admitted to 536 general wards of acute care hospitals were analyzed. A multilevel logistic analysis was performed for the patients' mortality and early readmission, and a multilevel zero-truncated negative binomial analysis was performed for the length of stay. The average length of stay in acute care hospitals was 6.54 ± 6.03 days, the mortality rate was 1.1%, and the early readmission rate was 7.1%. As the nurse staffing level increased, the length of stay and number of early readmissions were likely to decrease. It can be concluded that interventions to improve nurse staffing are required; for example, a policy that compels medical institutions to comply with Korea's medical law standards should be implemented. Additionally, continuous research and interventions are needed to establish an appropriate nurse staffing level according to patient severity.

Healthcare-related correlates of preoperative psychological distress among a mixed surgical and cancer-specific sample

OBJECTIVE

Preoperative distress is commonly experienced by surgical patients and is associated with adverse health-related outcomes. Research suggests preoperative distress may be elevated among cancer surgery patients relative to other surgical groups and there appears to be greater recognition of the adverse impacts of distress for these patients. This study examined associations between preoperative distress and postoperative healthcare-related correlates (e.g., length of stay, re-hospitalization) among a large, mixed surgical sample, and separately among cancer surgery patients with active cancer.

METHODS

We analyzed secondary data from the Vascular Events In Non-cardiac Surgery Patients Cohort Evaluation (VISION) study - Mental Health Supplement (N = 997; n = 370 active cancer/cancer surgery). The Kessler 6-item Psychological Distress Scale assessed preoperative distress on the day of surgery. Multivariable regressions examined associations between distress and healthcare-related correlates. For significant relationships, we examined associations between anxiety and depressive subscales of distress with the correlates of interest.

RESULTS

Among the full surgical sample, after adjustment, preoperative distress was associated with a greater length of stay (b = 0.01, 95% CI [0.00-0.02], R² = 0.15, f² = 0.18) and increased odds of re-hospitalization (AOR = 1.07, 95%CI [1.01-1.13]). Results were comparable among cancer surgery patients (length of stay: b = 0.02, re-hospitalization: AOR = 1.11). Post-hoc analyses revealed associations between anxiety symptoms and re-hospitalization (AOR range: 1.13-1.26) and between depressive symptoms and length of hospital stay (b range: 0.02-0.04, R² range: 0.07-0.15, f² range: 0.07-0.18).

CONCLUSIONS

Findings suggest preoperative distress may be associated with greater postoperative healthcare needs. Results support the importance of screening for distress in the perioperative period.

Racial Disparities in the Surgical Treatment of Clinical Stage I Non-Small Cell Lung Cancer Among Veterans

BACKGROUND

Prior studies in the civilian population have reported racial disparities in lung cancer outcomes following surgical treatment, including inferior quality of care and worse survival. It is unclear if racial disparities exist in the Veterans Health Administration (VHA), the largest integrated health care system in the United States.

RESEARCH QUESTION

Do racial disparities affect early-stage non-small cell lung cancer (NSCLC) outcomes following surgical treatment within the VHA?

STUDY DESIGN AND METHODS

This retrospective cohort study was conducted in veterans with clinical stage I NSCLC undergoing surgical treatment in the VHA system. Demographic characteristics, access to care, surgical quality measures, and short- and long-term oncologic outcomes between White and Black veterans were evaluated.

RESULTS

From 2006 to 2016, a total of 18,800 veterans with clinical stage I NSCLC were included. The rates of definitive surgical treatment were similar between Black (57.3%) and White (58.1%) veterans (P = .42). The final study cohort included 9,842 patients receiving surgical treatment, of whom 8,356 (84.9%) were White and 1,486 (15.1%) were Black. Black patients were younger and more likely to smoke, although comorbidities were similar between the two groups. Black patients were somewhat less likely to receive adequate lymph node sampling (30.6% vs 33.3%; P = .050); however, other access-to-care metrics and surgical quality measures, including rates of anatomic lobectomy (71.9% vs 69.4%; P = .189) and positive margins (3.2% vs 3.1%; P = .955), were similar between the two groups. Although Black veterans were less likely to experience major postoperative complications, there was no difference in 30-day readmission, 30-day mortality, or disease-free survival between the two groups. Black patients had significantly better risk-adjusted overall survival (hazard ratio, 0.802; 95% CI, 0.729-0.883; P < .001).

INTERPRETATION

Among veterans with NSCLC undergoing surgical treatment through the VHA, Black patients received comparable care with equivalent if not superior outcomes compared with White patients.

Identifying patients who suffered from post-discharge cough after lung cancer surgery

PURPOSE

To establish a discharge cutoff point (CP) on a simple patient-reported cough score to identify patients requiring post-discharge cough intervention.

METHODS

Data were extracted from a prospective cohort study of patients undergoing lung cancer surgery. Symptoms were assessed using the MD Anderson Symptom Inventory-Lung Cancer Module. Group-based trajectory modeling was used to identify patient subgroups defined by post-discharge cough trajectories. Generalized linear model and bootstrap resampling with 2000 samples were used to determine the optimal cutoff points of discharge cough scores and their robustness. Analysis of variance, chi-square test, and mixed-effects model were used to validate the optimal cutoff points.

RESULTS

The cough trajectories of post-discharge followed three patterns (high, middle, low); higher cough was associated with poor recovery of the enjoyment of life within 4 weeks after discharge (P < 0.001). The CP (3, 6) of discharge cough demonstrated as the optimal CP (F = 21.72). When discharged, 45.66% (179/392) of patients suffered a none/mild cough (0-2 points), 41.82% (164/392) suffered a moderate cough (3-5 points), and 12.5% (49/392) suffered a severe cough (6-10 points). Among these patients, there was a significant difference in the proportion of returning to work at 1 month after discharge (non-mild: 77.70%; moderate: 60.74%; severe: 48.57%; p < 0.001).

CONCLUSIONS

Moderate-to-severe cough is relatively common in patients undergoing lung cancer surgery, and the higher the cough trajectory, the worse the recovery to normal life. Therefore, these patients with a cough score ≥ 3 or ≥ 6 at discharge may require additional medical intervention and extensive care.

Spanish Society of Thoracic Surgery (SECT) consensus document. Long-term follow-up for operated patients with lung cancer

The most effective treatment for lung cancer is complete lung resection, although recurrences reach up to 10% and the appearance of second neoplasms, up to 6%. Therefore, the follow-up of these patients will be essential for the early detection and treatment of these events; however there is no definition of the form, time and cadence of these follow-ups. In this consensus document, we try to define them based on the available scientific evidence. A critical review of the literature is carried out (meta-analysis, systematic reviews, reviews, consensus recommendations of scientific societies, randomized controlled studies, non-randomized controlled studies, observational studies and case series studies) and communications to the main congresses on oncology and thoracic surgery in Spanish, English and French. The evidences found are classified following the GRADE system. It is defined according to the existing evidence that the patient resected for lung cancer should be followed up, as well as that this follow-up should be close during the first years and with CT (not being necessary to follow up with PET-CT, biomarkers or bronchoscopy). Cessation of smoking is also recommended in this follow-up.

[Patient outcomes after lung resection. The impact of unplanned readmission]

Unplanned readmissions after lung cancer surgery impair normal postoperative recovery and are associated with increased postoperative mortality. The objective of this review was to compile a detailed and comprehensive dataset on unplanned readmissions after pulmonary resection so as to better understand the associated factors and how they may be attenuated. Based on the identified risk factors, prevention involves improved preoperative preparation of at-risk patients and preoperative discharge planning so as to help prevent unscheduled readmissions, which are predictive of a poorer prognosis.

Spanish Society of Thoracic Surgery (SECT) consensus document. Long-term follow-up for operated patients with lung cancer

The most effective treatment for lung cancer is complete lung resection, although recurrences reach up to 10% and the appearance of second neoplasms, up to 6%. Therefore, the follow-up of these patients will be essential for the early detection and treatment of these events; however, there is no definition of the form, time and cadence of these follow-ups. In this consensus document, we try to define them based on the available scientific evidence. A critical review of the literature is carried out (meta-analysis, systematic reviews, reviews, consensus recommendations of scientific societies, randomized controlled studies, non-randomized controlled studies, observational studies and case series studies) and communications to the main congresses on oncology and thoracic surgery in Spanish, English and French. The evidences found are classified following the GRADE system. It is defined according to the existing evidence that the patient resected for lung cancer should be followed up, as well as that this follow-up should be close during the first years and with CT (not being necessary to follow up with PET-CT, biomarkers or bronchoscopy). Cessation of smoking is also recommended in this follow-up.

Optimizing Discharge After Shorter Hospitalizations: Lessons Learned Through After-Hours Calls with Thoracic Surgical Patients

OBJECTIVE

Minimally invasive procedures coupled with enhanced recovery pathways enable faster postoperative recovery and shorter hospitalizations. However, patients may experience unexpected concerns after return home, prompting after-hours calls. We aimed to characterize concerns prompting after-hours calls to improve discharge strategies.

METHODS

A single-institution, retrospective review was conducted of thoracic surgical patients from 11/4/2019 to 6/14/2020. Records were reviewed and elements of patient demographics, surgical procedures, postoperative courses, reasons for calls, and outcome of calls were collected. We compared characteristics of patients who made after-hours calls to those who did not, and performed multivariable analysis to identify characteristics associated with making an after-hours call.

RESULTS

During the study period, 379 patients underwent thoracic surgical procedures, among whom 88 (23.2%) initiated after-hours calls. Of these, 62 (70%) addressed patient symptoms, while 26 (30%) addressed patient questions including drain management, medications, and hospital policy questions. Patients making after-hours calls more frequently had undergone complex operations (26.1% vs 8.2%, P = 0.001), and were less likely to have received a standardized, clinician-initiated post-discharge telephone follow-up (29.5% vs 54.3%, P < 0.001). Complex operations increased likelihood of after-hours calls (OR: 3.33, 95% CI: 1.69-6.57, P < 0.001), while receipt of clinician-initiated telephone follow-up decreased likelihood of after-hours calls (OR: 0.38, 95% CI: 0.22-0.64, P < 0.001). There were no differences in emergency visits between the 2 groups (11% vs 8%, P = 0.370).

CONCLUSIONS

Despite efforts to optimize patient symptoms and knowledge prior to discharge, a substantial number of patients still have concerns after discharge. Many after-hours calls are related to knowledge gaps that may be addressed with improved predischarge education. Moreover, clinician-initiated telephone follow-up shows benefit in reducing after-hours calls.

Nononcologic Mortality after Pneumonectomy Compared to Lobectomy

Pneumonectomy is associated with high mortality. Knowledge of the cause and timing of death is critically important to reduce mortality. This study aimed to compare long-term nononcologic mortality between pneumonectomy and lobectomy patients and investigate factors associated with nononcologic mortality. Medical records of 337 patients who underwent pneumonectomy and 7545 patients who underwent lobectomy from 2009 to 2018 were reviewed. Postoperative morbidity, mortality, and cause of death were investigated. Competing risk analysis was performed to compare nononcologic mortality between pneumonectomy and lobectomy patients. Independent prognostic factors of nononcologic death were analyzed. The 90 day, 1 year, and 5 year mortality rates after pneumonectomy were 7.1%, 20.8%, and 49.3%, respectively. The respective nononcologic mortality rates after pneumonectomy were 6.5%, 11.6%, and 14.5%. The most common nononcologic cause of death was pneumonia. The 5 year cumulative incidence of nononcologic mortality was higher after pneumonectomy than after lobectomy (14.5% vs. 2.1%; p < 0.001). Risk of nononcologic death was higher after pneumonectomy (hazard ratio 1.54; p = 0.038). Older age (hazard ratio 1.09; p < 0.001) was an independent prognostic factor associated with nononcologic death after pneumonectomy. Higher predicted postoperative diffusion capacity for carbon monoxide (PPO DLCO) approached significance (hazard ratio 0.97; p = 0.054) as a protective factor. Long-term nononcologic mortality was higher after pneumonectomy than lobectomy and the main cause of nononcologic death was pneumonia. Clinicians should prevent and aggressively treat pneumonia after surgery, particularly in older patients and those with low PPO DLCO.

Readmission After Lobectomy for Lung Cancer: Not All Complications Contribute Equally

OBJECTIVE

The aim of this study was to identify independent predictors of hospital readmission for patients undergoing lobectomy for lung cancer.

SUMMARY BACKGROUND DATA

Hospital readmission after lobectomy is associated with increased mortality. Greater than 80% of the variability associated with readmission after surgery is at the patient level. This underscores the importance of using a data source that includes detailed clinical information.

METHODS

Using the Society of Thoracic Surgeons (STS) General Thoracic Surgery Database (GTSD), we conducted a retrospective cohort study of patients undergoing elective lobectomy for lung cancer. Three separate multivariable logistic regression models were generated: the first included preoperative variables, the second added intraoperative variables, and the third added postoperative variables. The c statistic was calculated for each model.

RESULTS

There were 39,734 patients from 277 centers. The 30-day readmission rate was 8.2% (n = 3237). In the final model, postoperative complications had the greatest effect on readmission. Pulmonary embolus {odds ratio [OR] 12.34 [95% confidence interval (CI),7.94-19.18]} and empyema, [OR 11.66 (95% CI, 7.31-18.63)] were associated with the greatest odds of readmission, followed by pleural effusion [OR 7.52 (95% CI, 6.01-9.41)], pneumothorax [OR 5.08 (95% CI, 4.16-6.20)], central neurologic event [OR 3.67 (95% CI, 2.23-6.04)], pneumonia [OR 3.13 (95% CI, 2.43-4.05)], and myocardial infarction [OR 3.16 (95% CI, 1.71-5.82)]. The c statistic for the final model was 0.736.

CONCLUSIONS

Complications are the main driver of readmission after lobectomy for lung cancer. The highest risk was related to postoperative events requiring a procedure or medical therapy necessitating inpatient care.

[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.

Narrative review of socioeconomic and racial disparities in the treatment of early stage lung cancer

Background

To review and discuss the current literature regarding socio-economic and racial disparities in the treatment of early-stage non-small cell lung cancer (NSCLC).

Methods

Narrative review of peer reviewed literature synthesizing findings retrieved from searches of computerized databases, primary article reference lists, authoritative texts and expert options.

Results

The current incidence of lung cancer appears to be similar between White and Black patients. However, Black patients are substantially less likely to receive curative intent surgery. Mitigation strategies do exist to narrow this inequity. Lower socioeconomic status (SES) is associated with a higher incidence of lung cancer, lower utilization of surgery and poorer outcomes after surgery.

Conclusions

Race and SES remain closely linked to outcomes in lung cancer. Outcomes are still worse when controlling for stage and specifically, in early-stage disease, surgical therapy is consistently underused in Black patients and patients of low SES.

Identifying Modifiable and Non-modifiable Risk Factors of Readmission and Short-Term Mortality in Osteosarcoma: A National Cancer Database Study

BACKGROUND

There are limited data to inform risk of readmission and short-term mortality in musculoskeletal oncology. The goal of this study was to identify factors independently associated with 30-day readmission and 90-day mortality following surgical resection of osteosarcoma.

METHODS

We retrospectively reviewed patients (n = 5293) following surgical resection of primary osteosarcoma in the National Cancer Database (2004-2015). Univariate and multivariate methods were used to correlate variables with readmission and short-term mortality.

RESULTS

Of 210 readmissions (3.97%), risk factors independently associated with unplanned 30-day readmission included comorbidity burden (odds ratio [OR] 2.4, p = 0.042), Medicare insurance (OR 1.9, p = 0.021), and axial skeleton location (OR 1.5, p = 0.029). A total of 91 patients died within 90 days of their surgery (1.84%). Risk factors independently associated with mortality included age (hazard ratio 1.1, p < 0.001), increasing comorbidity burden (OR 6.6, p = 0.001), higher grade (OR 1.7, p = 0.007), increasing tumor size (OR 2.2, p = 0.03), metastatic disease at presentation (OR 8.5, p < 0.001), and amputation (OR 2.0, p = 0.04). Chemotherapy was associated with a decreased risk of short-term mortality (p < 0.001).

CONCLUSIONS

Several trends were clear: insurance status, tumor location and comorbidity burden were independently associated with readmission rates, while age, amputation, grade, tumor size, metastatic disease, and comorbidity burden were independently associated with short-term mortality.

Unplanned readmission and survival after video-assisted thoracic surgery and open thoracotomy in patients with non-small-cell lung cancer: a 12-month nationwide cohort study

OBJECTIVES

To compare outcomes at 12 months between video-assisted thoracic surgery (VATS) and open thoracotomy (OT) in patients with non-small-cell lung cancer (NSCLC) using real-world evidence.

METHODS

We did a nationwide propensity-matched cohort study. We included all patients who had a diagnosis of NSCLC and who benefitted from lobectomy between 1 January 2015 and 31 December 2017. We divided this population into 2 groups (VATS and OT) and matched them using propensity scores based on patients' and hospitals' characteristics. Unplanned readmission, mortality, complications, length of stay and hospitalization costs within 12 months of follow-up were compared between the 2 groups.

RESULTS

A total of 13 027 patients from 180 hospitals were included, split into 6231 VATS (47.8%) and 6796 OT (52.2%). After propensity score matching (5617 patients in each group), VATS was not associated with a lower risk of unplanned readmission compared with OT [20.7% vs 21.9%, hazard ratio 1.03 (0.95-1.12)] during the 12-months follow-up. Unplanned readmissions at 90 days were mainly due to pulmonary complications (particularly pleural effusion and pneumonia) and were associated with higher mortality at 12 months (13.4% vs 2.7%, P < 0.0001).

CONCLUSIONS

VATS and OT were both associated with high incidence of unplanned readmissions within 12 months, requiring a better identification of prognosticators of unplanned readmissions. Our study highlights the need to improve prevention, early diagnosis and treatment of pulmonary complications in patients with VATS and OT after discharge. These findings call for improving the dissemination of systematic perioperative care pathway including efficient pulmonary physiotherapy and rehabilitation.

Effect of thoracic surgery regionalization on long-term survival after lung cancer resection

OBJECTIVE

Existing evidence demonstrates some benefit of regionalization on early postoperative outcomes following lung cancer resection, but data regarding the persistence of this effect in long-term mortality are lacking. We investigated whether previously reported improvements in short-term outcomes translated to long-term survival benefit.

METHODS

We retrospectively reviewed patients undergoing major pulmonary resection (lobectomy, bilobectomy, or pneumonectomy) for cancer within our integrated health care system before (2011-2013; n = 782) and after (2015-2017; n = 845) thoracic surgery regionalization. Overall survival was compared by Kaplan-Meier analysis, and 1- and 3-year mortality was compared by the by χ² or Fisher exact test. Multivariable Cox regression models evaluated the effect of regionalization on mortality adjusted for relevant factors.

RESULTS

Kaplan-Meier curves showed that overall survival was better among patients undergoing surgery postregionalization (log-rank test, P < .0001). Both 1- and 3-year mortality were decreased after regionalization: to 5.7% from 11.1% (P < .0001) for 1 year and to 17.0% from 25.5% (P = .0002) for 3 years. The multivariable adjusted Cox regression analysis revealed that only regionalization (hazard ratio [HR], 0.57; 95% confidence interval [CI], 0.42-0.76), age (HR, 1.03; 95% CI, 1.02-1.04), cancer stage (HR, 1.72, 1.83, and 2.56 for stages II, III, and IV, respectively), and Charlson comorbidity index (HR, 1.80 for 1-2; 2.05 for ≥3) were independent predictors of mortality.

CONCLUSIONS

We found that overall mortality as well as 1- and 3-year mortality for lung cancer resection were lower after thoracic surgery regionalization. The association between regionalization and reduced mortality was significant even after adjusting for other related factors in a multivariable Cox analysis. Notably, surgeon volume, facility volume, surgeon specialty, neoadjuvant treatment, and video-assisted thoracoscopic surgery approach did not significantly affect mortality in the adjusted model.

Factors Associated with Unexpected Readmission Following Lung Resection

BACKGROUND

Identification of the predictors of readmission can facilitate appropriate perioperative management. The current study aimed to investigate the potential predictors of unexpected readmission after lung resection for primary lung cancers.

METHODS

This retrospective study enrolled 1000 patients who underwent pulmonary resection for lung cancer at our institution between January 2016 and December 2017. Unexpected readmission was defined as unscheduled readmission to our hospital within 30 days after discharge. Univariate and multivariate analyses were performed for identification of perioperative factors associated with readmission.

RESULTS

Forty-three patients (4.3%) required unexpected readmission, and the median interval between the day of discharge and readmission was 10 days (range 1-29 days). The reasons for readmission included empyema and pleural effusion (n = 11), acute exacerbation of idiopathic pulmonary fibrosis (n = 7), pneumothorax (n = 7), and others (n = 18). The median hospitalization length after readmission was 14 days (range 2-90 days). Four patients (9.3%) died in the hospital because of acute exacerbation of idiopathic pulmonary fibrosis after readmission. In multivariate logistic regression analysis, postoperative refractory air leakage, defined as prolonged air leakage lasting > 5 days or requiring reoperation, was identified as a significant predictor associated with an increased risk of readmission (odds ratio 2.87; 95% confidence interval 1.22-6.72; p = 0.015).

CONCLUSIONS

Unexpected readmission was an inevitable event following lung resection. Patients with readmission had an increased risk of death. Refractory air leakage after lung resection for primary lung cancer was strongly associated with unexpected readmission.

Ninety-Day Mortality: Redefining the Perioperative Period After Lung Resection

Operative mortality is an important outcome for patients, surgeons, healthcare institutions, and policy makers. Although measures of perioperative mortality have conventionally been limited to in-hospital and 30-day mortality (or a composite endpoint combining both), there is a large body of evidence emerging to support the extension of the perioperative period after lung resection to a minimum of 90 days after surgery. Several large-volume studies from centers across the world have reported that 90-day mortality after lung resection is double 30-day mortality. Hence, true perioperative mortality after lung resection is likely to be significantly higher than what is currently reported. In the contemporary era, where new treatment modalities such as stereotactic ablative body radiotherapy are emerging as viable nonsurgical alternatives for the treatment of lung cancer, accurate estimation of perioperative risk and reliable reporting of perioperative mortality are of particular importance. It is likely that shifting the discussion from 30-day to 90-day mortality will lead to altered decision making, particularly for specific patient subgroups at an increased risk of 90-day mortality. We believe that 90-day mortality should be adopted as the standard measure of perioperative mortality after lung resection and that strategies to reduce the risk of mortality within 90 days of surgery should be investigated.

Management of cancer patients during COVID-19 pandemic at developing countries

Cancer patient care requires a multi-disciplinary approach and multiple medical and ethical considerations. Clinical care during a pandemic health crisis requires prioritising the use of resources for patients with a greater chance of survival, especially in developing countries. The coronavirus disease 2019 crisis has generated new challenges given that cancer patients are normally not prioritised for admission in critical care units. Nevertheless, the development of new cancer drugs and novel adjuvant/neoadjuvant protocols has dramatically improved the prognosis of cancer patients, resulting in a more complex decision-making when prioritising intensive care in pandemic times. In this context, it is essential to establish an effective and transparent communication between the oncology team, critical care, and emergency units to make the best decisions, considering the principles of justice and charity. Concurrently, cancer treatment protocols must be adapted to prioritise according to oncologic response and prognosis. Communication technologies are powerful tools to optimise cancer care during pandemics, and we must adapt quickly to this new scenario of clinical care and teaching. In this new challenging pandemic scenario, multi-disciplinary work and effective communication between clinics, technology, science, and ethics is the key to optimising clinical care of cancer patients.

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.

Time-varying analysis of readmission and mortality during the first year after pneumonectomy

OBJECTIVES

Mortality rates of 5% to 10% after pneumonectomy have remained constant during the last decade. To understand the patterns of outcomes after pneumonectomy, we investigated the time-varying risks of readmission and death during the first postoperative year and examined the contributions of specific causes to these patterns over time.

METHODS

We retrospectively reviewed all pneumonectomies for lung cancer at our institution from 2000 to 2018. The time-varying instantaneous risk of all-cause readmission and mortality up to 1 year after pneumonectomy was estimated using parametric analyses and was repeated for each primary cause of readmission (oncologic, infectious, pulmonary, cardiac, or other) and death (oncologic or nononcologic).

RESULTS

In our cohort of 355 patients who underwent pneumonectomy, risk of readmission was highest immediately after discharge and was halved by 14 days. This risk reached a nadir and remained constant from 4 to 8 months, after which it gradually increased. Pulmonary causes accounted for most readmissions within 90 days, after which oncologic causes predominated. Likewise, the overall risk of death was highest immediately after surgery, was halved by 7 days, reached a nadir at 90 days, and then increased throughout the remainder of the first year. All deaths during the first 90 days after surgery were due to nononcologic causes.

CONCLUSIONS

Nononcologic causes of readmission and death predominate in the first 90 days after pneumonectomy, after which oncologic causes prevail. We also identify specific causes that pose the highest risk of readmission immediately after discharge. Efforts are warranted to define the effects of specific causes of readmission on overall mortality after pneumonectomy.

Hospital readmissions after pulmonary resection: post-discharge nursing telephone assessment identifies high risk patients

Background

We previously reported that post-discharge nursing telephone assessments identified a frequent number of patient complaints. Our aim was to determine if telephone assessments can identify patients at risk for emergency room (ER) visits or hospital readmissions.

Methods

A single-institution, retrospective review was performed on all patients undergoing pulmonary resection over a 12-month period. Standardized nursing telephone calls were conducted and records were reviewed to determine postoperative issues. ER visits and readmissions within 30 and 90 days were recorded.

Results

In total, 521 patients underwent pulmonary resection and 245 (47%) were reached for telephone assessment. ER visits within 30/90 days were 8.1% (n=42) and 12.1% (n=63). Readmissions within 30/90 days were 3.1% (n=16) and 6% (n=31). For those reached by telephone assessment, patients with major issue demonstrated increased 30-day ER visits: 22.6% (n=7) vs. 8.0% (n=17), P=0.019. For all patients, those with 90-day ER visit and/or readmission were more likely to have pulmonary complications during initial admission (43.8% vs. 21.2%, P<0.001). Among patients who were reached by telephone, independent predictors of ER visit or readmission within 30 days were: major issue identified on telephone assessment (P=0.007), discharge with chest tube (<0.001), and reintubation postoperatively (P=0.047).

Conclusions

Standardized nursing telephone assessments were able to identify a high-risk population more likely to need ER visit or readmission. However, telephone assessments did not decrease ER visits or readmissions. Improved post-discharge protocols are needed for these high-risk patients in order to ensure patient safety, optimize patient experience, and limit unnecessary resource utilization.

Evidence-based follow-up in lung cancer?

In 2012 approximately 410,000 patients were diagnosed with lung cancer and about 353,000 lung cancer deaths were registered in the European Union. Although lung cancer is still the leading cause of cancer-related death worldwide, advances in detection and treatment have increased the likelihood of long-term survival. In patients receiving definitive curative treatment for lung cancer guidelines suggest follow-up of patients using clinical and radiological examinations over a certain period of time. However, standards differ and there are no generally accepted follow-up recommendations. Aim of this short review is to summarize the currently available knowledge and guidelines regarding surveillance of patients receiving definitive lung cancer treatment.

The benefits of digital drainage system versus traditional drainage system after robotic-assisted pulmonary lobectomy

BACKGROUND

Postoperative air leaks are the most common complication after a pulmonary resection. There is no data in the literature comparing the traditional and digital chest drainage system after a robotic-assisted pulmonary lobectomy.

METHODS

This was a retrospective, correlational study. Medical records from 182 eligible robotic-assisted lobectomy patients were evaluated to determine the association between digital and traditional chest tube drainage systems (CTDS) with postoperative chest tube days, hospital LOS, chest tube reinsertion during hospitalization, and 30-day readmission for pneumothorax. Multiple regression was used to determine the association between CTDS while controlling for confounding variables.

RESULTS

No differences were noted between groups for age, gender, BMI, smoking, adhesions or neoadjuvant therapy. Patients with digital drainage systems had significantly shorter chest tube duration than those with traditional drainage systems (2.07 vs. 2.73 days, P=0.003). After controlling for age and BMI, CTDS was not found to be a significant predictor of CT duration. Digital drainage system were also associated with significantly shorter hospital LOS (4.02 vs. 5.06 days, P=0.01) After controlling for age, BMI, and presence of post-op a-fib, use of a digital CTDS was significantly associated with 1 day shorter hospital LOS. Chest tube reinsertion occurred four times more frequently with traditional drainage systems, but the difference did not achieve the level of statistical significance (P=0.059). The frequency of readmission due to pneumothorax was very low (1 patient per group), which prevented comparative statistical analysis.

CONCLUSIONS

In the digital drainage system there are shorter chest tube days and hospital length of stay after a robotic-assisted lobectomy. The decision to remove chest tubes in the traditional drainage system is burdened with uncertainty. The digital drainage system reduces intraobserver variability allowing for improved decision making in chest tube removal. Both CT duration and hospital LOS were shorter using unadjusted analyses. Type of CTDS was not significantly associated with CT duration after controlling for age and BMI. However, after controlling for age, BMI, and post-op atrial fibrillation, use of the digital CTDS was associated with a 1 day reduction in hospital LOS.

Airflow limitation and survival after surgery for non-small cell lung cancer: Results from a systematic review and lung cancer screening trial (NLST-ACRIN sub-study)

OBJECTIVE

Lung cancer remains the single greatest cause of cancer mortality where surgery for early stage non-small cell lung cancer achieves the greatest survival. While there is growing optimism for better outcomes with screening using annual computed tomography, the impact of co-existing airflow limitation on survival remains unknown. To compare survival in non-small cell lung cancer patients undergoing surgery stratified according to the presence or absence of pre-surgery airflow limitation.

MATERIALS AND METHODS

We undertook a systematic literature search of non-screen lung cancer that encompassed studies reported between January 1946 and January 2017. Full-text articles were identified following eligibility scoring, with data extracted and analysed using a standardised analytical method (PRISMA). The results of this systematic review in non-screen lung cancers were compared to real-world results from a lung cancer screening cohort (N = 10,054), where outcomes following surgery could be compared after stratification according to pre-surgery airflow limitation.

RESULTS

In the systematic review, 6899 subjects were included from 10 studies; 7 were retrospective, 3 were prospective. Overall survival was 950 (44%) in 2144 people with COPD and 2597 (55%) from 4755 controls (unadjusted P value <0.001). However, the overall meta-analysed random effects odds ratio for overall survival (N = 10) and 5-year survival (N = 4) comparing those with and without COPD was 0.91 (95% CI = 0.84-1.00) and 0.99 (95% CI = 0.79-1.24) respectively. There were no signs of significant heterogeneity (I² = 19.1%, P = 0.27) nor publication bias as assessed by funnel plot and Egger's test (P = 0.19). In the lung cancer screening sub-study of 10,054 screening participants we found no difference in 5-year survival in those with and without airflow limitation (84% and 81% respectively, P = 0.64).

CONCLUSION

Survival after surgery for non-small cell lung cancer is comparable between those with and without spirometry evidence of airflow limitation. This finding was replicated in lung cancer diagnosed during screening.

Readmissions After Complex Cancer Surgery: Analysis of the Nationwide Readmissions Database

PURPOSE

Hospital readmissions after surgery are a focus of quality improvement efforts. Although some reflect appropriate care, others are potentially preventable readmissions (PPRs). We aim to describe the burden, timing, and factors associated with readmissions after complex cancer surgery.

METHODS

The Nationwide Readmissions Database (2013) was used to select patients undergoing a complex oncologic resection, which was defined as esophagectomy/gastrectomy, hepatectomy, pancreatectomy, colorectal resection, lung resection, or cystectomy. Readmissions within 30 days from discharge were analyzed. International Classification of Diseases (9th revision) primary diagnosis codes were reviewed to identify PPRs. Multivariable logistic regression analyses identified demographic, clinical, and hospital factors associated with readmissions.

RESULTS

Of the 59,493 eligible patients, 14% experienced a 30-day readmission, and 82% of these were deemed PPRs. Half of the readmissions occurred within the first 8 days of discharge. Infections (26%), GI complications (17%), and respiratory conditions (10%) accounted for most readmissions. Factors independently associated with an increased likelihood of readmission included Medicaid versus private insurance (odds ratio [OR], 1.32; 95% CI, 1.17 to 1.48), higher comorbidity score (OR, 1.5; 95% CI, 1.33 to 1.63), discharge to a facility (OR, 1.39; 95% CI, 1.29 to 1.51), prolonged length of stay (OR, 1.42; 95% CI, 1.32 to 1.52), and occurrence of a major in-hospital complication (OR, 1.24; 95% CI, 1.16 to 1.34).

CONCLUSION

One in seven patients undergoing complex cancer surgery suffered a readmission within 30 days. We identified common causes of these and identified patients at high risk for such an event. These data can be used by physicians, administrators, and policymakers to develop strategies to decrease readmissions.

Long-term impact of complications after lung resections in non-small cell lung cancer

Background

Postoperative complications after lung resection are common and fatal. The immediate effects of postoperative complications are related to poor prognosis; however, the long-term effects have not been assessed. Thus, this investigation aimed to clarify the long-term effects of postoperative complications among patients with resected non-small cell lung cancer (NSCLC).

Methods

This retrospective cohort study included 345 patients with resected NSCLC from a single institution. We used the Clavien-Dindo classification to classify postoperative complications. Postoperative complications were defined as complications with a Clavien-Dindo grade of ≥2. The Kaplan-Meier method was used to evaluate survival. Prognostic factors were analyzed using a Cox proportional hazard model.

Results

There were 110 patients with postoperative complications (31.9%). The 5-year overall survival (OS), recurrence-free survival (RFS), and cause-specific survival (CSS) rates were significantly lower in patients with complications than in those without complications [OS: 66.1%, 95% confidence interval (CI): 55.4-74.8% vs. 78.0%, 95% CI: 71.8-83.1%, P=0.001; RFS: 48.8%, 95% CI: 38.1-58.7% vs. 70.8%, 95% CI: 64.2-76.4%, P<0.001; CSS: 82.7%, 95% CI: 72.8-89.3% vs. 88.2%, 95% CI: 82.8-92.0%, P=0.005]. The 5-year OS was lower in the pulmonary complication group than in the other complication group (58.1%, 95% CI: 40.0-72.4% vs. 70.5%, 95% CI: 56.6-80.6%, P=0.033). Postoperative complications were indicated as a poor prognostic factor for OS (hazard ratio, 1.67; 95% CI: 1.11-2.53; P=0.002).

Conclusions

Postoperative complications were associated with unfavorable OS because of the worse prognosis of postoperative pulmonary complications.

Early Discharge Does Not Increase Readmission Rates After Minimally Invasive Anatomic Lung Resection

Objective

Enhanced recovery pathways reduce length of stay and costs following lung resection. However, many fear that early discharge may lead to increased hospital readmissions. In this study, we aimed to determine whether early discharge was associated with increased readmission following anatomic lung resection.

Methods

Using the lung resection database approved by our institutional review board, we identified all patients undergoing minimally invasive lobectomy and segmentectomy between January 2010 and March 2017 at our institution, where an enhanced recovery pathway is well established. Thirty-day readmissions were compared between patients with short- and average length of stay, defined as 1 to 2 days and 3 to 5 days, respectively. Multivariable logistic regression analysis of patients matched by propensity scores was performed to determine odds of 30-day readmission for each group. Significance was set at P < 0.05.

Results

A total of 296 patients met inclusion criteria. Unadjusted analysis revealed a 3-fold increased rate of readmission in the group with average length of stay (9%, n = 12) versus the group with short length of stay (3%, n = 5; P < 0.01). At baseline, patients with average length of stay had increased rates of preoperative chemotherapy (13%, n = 18 vs. 4%, n = 6; P < 0.01) and radiation (12%, n = 16 vs. 3%, n = 5). Patients with average length of stay also had higher rates of lobectomy (95%, n = 127 vs. 86%, n = 140; P = 0.02) and postoperative complications (31%, n = 41 vs. 4%, n = 7; P < 0.01). On multivariable analysis, patients with average length of stay had a 2.3-fold greater odds of readmission, which was not statistically significant (OR = 2.33; 95% CI, 0.60 to 9.02; P = 0.22).

Conclusions

Early discharge following minimally invasive anatomic lung resection does not increase the risk of hospital readmission in patients treated within an enhanced recovery pathway.

Perioperative immune function and pain control may underlie early hospital readmission and 90 day mortality following lung cancer resection: A prospective cohort study of 932 patients

BACKGROUND

Mortality following lung cancer resection has been shown to double between 30 and 90 days and readmission following surgery is associated with an increased risk of mortality. The aim of this study was to describe the causes of readmission and mortality and enable the identification of potentially modifiable factors associated with these events.

METHODS

Prospective cohort study at a United Kingdom tertiary referral centre conducted over 55 months. Binary logistic regression was used to identify factors associated with death within 90 days of surgery.

RESULTS

The 30 day and 90 day mortality rates were 1.4% and 3.3% respectively. The most common causes of death were pneumonia, lung cancer and Acute Respiratory Distress Syndrome/Multi Organ Failure. Potentially modifiable risk factors for death identified were: Postoperative pulmonary complications (Odds ratio 6.1), preoperative lymphocyte count (OR 0.25), readmission within 30 days (OR 4.2) and type of postoperative analgesia (OR for intrathecal morphine 4.8). The most common causes of readmission were pneumonia, shortness of breath and pain.

CONCLUSIONS

Postoperative mortality is not simply due to fixed factors; the impacts of age, gender and surgical procedure on postoperative survival are reduced when the postoperative course of recovery is examined. Perioperative immune function, as portrayed by the occurrence of infection and lower lymphocyte count in the immediate perioperative period, and pain control method are strongly associated with 90 day mortality; further studies in these fields are indicated as are studies of psychological factors in recovery.

CLINICAL REGISTRATION NUMBER

ISRCTN00061628.

Unplanned readmission after lung resection surgery: A systematic review

Urgent readmissions have a major impact on outcomes in patient health and healthcare costs. The associated risk factors have generally been infrequently studied. The main objective of the present work is to identify pre- and perioperative determinants of readmission; the secondary aim was to determine readmission rate, identification of readmission diagnoses, and impact of readmissions on survival rates in related analytical studies. The review was performed through a systematic search in the main bibliographic databases. In the end, 19 papers met the selection criteria. The main risk factors were: sociodemographic patient variables; comorbidities; type of resection; postoperative complications; long stay. Despite the great variability in the published studies, all highlight the importance of reducing readmission rates because of the significant impact on patients and the healthcare system.

Postoperative Pneumonia Prevention in Pulmonary Resections: A Feasibility Pilot Study

BACKGROUND

Pneumonia after pulmonary resection occurs in 5% to 12% of patients and causes substantial morbidity. Oral hygiene regimens lower the incidence of ventilator-associated pneumonias; however, the impact in patients undergoing elective pulmonary resection is unknown. We conducted a prospective pilot study to assess the feasibility of an oral hygiene intervention in this patient cohort.

METHODS

Patients undergoing elective pulmonary resection were prospectively enrolled in a single-arm interventional study with time-matched controls. Participants were asked to brush their teeth with 0.12% chlorhexidine three times daily for 5 days before their operations and 5 days or until the time of discharge after their operations. Patients were eligible if they had known or suspected lung cancer and were undergoing (1) any anatomic lung resection or (2) a wedge resection with forced expiratory volume in 1 second or diffusing capacity of lung for carbon monoxide less than 50% predicted.

RESULTS

Sixty-two patients were enrolled in the pilot intervention group and compared with a contemporaneous cohort of 611 patients who met surgical inclusion criteria. Preoperative adherence to the chlorhexidine toothbrushing regimen was high: median 100% (interquartile range: 87% to 100%). Postoperatively, 80% of patients continued toothbrushing, whereas 20% declined further participation. Among those who participated postoperatively, median adherence was 86% (interquartile range: 53% to 100%). There was a trend toward reduction in postoperative pneumonia: 1.6% (1 of 62) in the intervention cohort versus 4.9% (30 of 611) in the time-matched cohort (p = 0.35). The number needed to treat to prevent one case of pneumonia was 30 patients.

CONCLUSIONS

This pilot study demonstrated patients can comply with an inexpensive perioperative oral hygiene regimen that may be promising for reducing morbidity (Clinical Trials Registry: NCT01446874).

Perioperative Outcomes for Stage I Non-Small Cell Lung Cancer: Differences Between Men and Women

BACKGROUND

Previous studies have highlighted important biologic and survival-related differences among men and women with non-small cell lung cancer (NSCLC). However, differences in perioperative or short-term outcomes have not been as well characterized. In this study, we investigated differences in the perioperative period and postoperative emergency department (ED) visits among men and women after lobectomy for stage I NSCLC.

METHODS

A retrospective review was performed of patients who underwent a lobectomy for clinical stage I NSCLC at a single institution from 2010 to 2015.

RESULTS

We identified 559 patients for inclusion, including 293 women (52%) and 266 men (48%). Women were more likely to present with clinical T1 status (p = 0.005) and to undergo a minimally invasive operation (p = 0.058). To reduce confounding, 206 case-matched pairs were identified. After matching, no differences were found in length of stay (p = 0.551) or pulmonary complications (p = 0.509); however, men experienced more cardiac complications (18% versus 7%, p = 0.001). Of importance, although rates of 30- and 90-day ED visits between sexes were similar (p = 0.531, p = 0.890, respectively) and no sex-related differences were found in presenting symptom on return to the ED (p = 0.478), women were more likely to be readmitted after presenting to the ED within 30 days (p = 0.038).

CONCLUSIONS

Women demonstrated an increased likelihood of being admitted after presenting to the ED within 30 days after discharge, indicating important differences between men and women in the short-term period after lobectomy. Further research will be required to further understand the cause for these differences.

Predictors of Unplanned Hospitalizations in Patients With Nonmetastatic Lung Cancer During Chemotherapy

PURPOSE/OBJECTIVES

To determine predictors of unplanned hospitalizations in patients with lung cancer to receive chemotherapy in the outpatient setting and examine the potential financial burden of these events.
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DESIGN

Retrospective, longitudinal cohort study.
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SETTING

The National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER)-Medicare linked database.
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SAMPLE

Of 104,388 incident cases of lung cancer diagnosed from 2005-2009, 2,457 cases of patients with lung cancer who received outpatient chemotherapy were identified. Patients were aged 66 years or older at diagnosis, had uninterrupted Medicare Part A and B coverage with no health maintenance organization enrollment, and received IV chemotherapy at least once.
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METHODS

Generalized estimating equations was used.
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MAIN RESEARCH VARIABLES

Patient age, sex, race, marital status, degree of residential urbanization, median income, education level, stage, receipt of radiation therapy, and comorbidities.
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FINDINGS

Younger age, non-White race, lower education, higher income, receipt of radiation therapy, and lack of preexisting comorbidity were significant predictors of the likelihood of an initial unplanned hospitalization for lung cancer. Non-White race, receipt of radiation therapy, and comorbidity were factors associated with an increased number of hospitalizations. 
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CONCLUSIONS

Unplanned hospitalizations are frequent, disruptive, and costly. This article defines areas for further exploration to identify patients at high risk for unexpected complications. 
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IMPLICATIONS FOR NURSING

This article represents a foundation for development of risk models to enable nursing evaluation of patient risk for chemotherapy treatment interruption and unplanned hospitalization.