A population-based study of hospital length of stay and emergency readmission following surgery for non-small-cell lung cancer

Risk-adjusted discrete increases in length of stay by complication following anatomic lung resection: an analysis of 32 133 cases across the USA

OBJECTIVES

Prior studies have associated morbidity following anatomic lung resection with prolonged postoperative length of stay; however, each complication's individual impact on length of stay as a continuous variable has not been studied. The purpose of this study was to determine the risk-adjusted increase in length of stay associated with each individual postoperative complications following anatomic lung resection.

METHODS

Patients who underwent anatomic lung resection cataloged in the prospectively collected American College of Surgeons National Surgical Quality Improvement Program participant use file, 2005-2018, were targeted. The association between preoperative characteristics, postoperative complications and length of stay in days was tested. A negative binomial model adjusting for the effect of preoperative characteristics and 18 concurrent postoperative complications was used to generate incidence rate ratios. This model was fit to generate risk-adjusted increases in length of stay by complication.

RESULTS

Of 32 133 patients, 5065 patients (15.8%) experienced at least one post-operative complication. The most frequent complications were pneumonia (n = 1829, 5.7%), the need for transfusion (n = 1794, 5.6%) and unplanned reintubation (n = 1064, 3.3%). The occurrence of each of the 18 individual complications was associated with significantly increased length of stay. This finding persisted after risk-adjustment, with the greatest risk-adjusted increases being associated with prolonged ventilation (+17.4 days), followed by septic shock (+17.2 days), acute renal failure (+16.5 days) and deep surgical site infection (+13.2 days).

CONCLUSIONS

All 18 postoperative complications studied following anatomic lung resection were associated with significant risk-adjusted increases in length of stay, ranging from an increase of 17.4 days with prolonged ventilation to 2.6 days following the need for transfusion.

Predictors of prolonged hospital stay after segmentectomy

OBJECTIVE

Segmentectomy is becoming the standard of care for small, peripheral non-small cell lung cancer. To improve perioperative management in this population, this study aims to identify factors influencing hospital length of stay after segmentectomy.

METHODS

Patients who underwent segmentectomy for any indication between January 2018 and May 2023 were identified using a prospectively maintained institutional database. Multivariable logistic regression models were used to estimate associations between clinical features and prolonged (≥3 days) hospital stay. A nomogram was designed to understand better and possibly calculate the individual risk of prolonged hospital stays.

RESULTS

In total, 533 cases were included; 337 (63%) were female. Median age was 66 years (interquartile range [IQR], 63-75). The median size of resected lesions was 1.6 cm (IQR, 1.3-2.1 cm). Median hospital stay was 3 days (IQR, 2-4 days). Major adverse events occurred in 31 (5.8%) cases. The 30-day readmission rate was 5.8% (n = 31). There was no 30-day mortality; 90-day mortality was <1%. Patients older than 75 years (odds ratio [OR], 2.01, 95% confidence interval [CI], 1.15-3.57, P = .02), those with forced expiratory volume in 1 second <88% predicted (OR, 1.99; 95% CI, 1.38-2.89, P < .001), or positive smoking history (OR, 1.72; 95% CI, 1.15-2.60, P = .01) were more likely to have prolonged hospital stays after segmentectomy. A nomogram accounting for age, sex, forced expiratory volume in 1 second, body mass index, smoking history, and comorbidities was created to predict the probability of prolonged hospital stay with an area under the receiver operating characteristic curve of 0.66.

CONCLUSIONS

Older patients, those with reduced pulmonary function, and current and past smokers have elevated risk for prolonged hospital stays after segmentectomy. Validation of our nomogram could improve perioperative risk stratification in patients who undergo segmentectomy.

Comprehensive value implications of surgeon volume for lung cancer surgery: Use of an analytic framework within a regional health system

Objective

We used a framework to assess the value implications of thoracic surgeon operative volume within an 8-hospital health system.

Methods

Surgical cases for non-small cell lung cancer were assessed from March 2015 to March 2021. High-volume (HV) surgeons performed >25 pulmonary resections annually. Metrics include length of stay, infection rates, 30-day readmission, in-hospital mortality, median 30-day charges and direct costs, and 3-year recurrence-free and overall survival. Multivariate regression-based propensity scores matched patients between groups. Metrics were graphed on radar charts to conceptualize total value.

Results

All 638 lung resections were performed by 12 surgeons across 6 hospitals. Two HV surgeons performed 51% (n = 324) of operations, and 10 low-volume surgeons performed 49% (n = 314). Median follow-up was 28.8 months (14.0-42.3 months). Lobectomy was performed in 71% (n = 450) of cases. HV surgeons performed more segmentectomies (33% [n = 107] vs 3% [n = 8]; P < .001). Patients of HV surgeons had a lower length of stay (3 [2-4] vs 5 [3-7]; P < .001) and infection rates (0.6% [n = 1] vs 4% [n = 7]; P = .03). Low-volume and HV surgeons had similar 30-day readmission rates (14% [n = 23] vs 7% [n = 12]; P = .12), in-hospital mortality (0% [n = 0] vs 0.6% [n = 1]; P = .33), and oncologic outcomes; 3-year recurrence-free survival was 95% versus 91%; P = .44, and 3-year overall survival was 94% versus 90%; P = 0. Charges were reduced by 28%, and direct costs were reduced by 23% (both P < .001) in the HV cohort.

Conclusions

HV surgeons provide comprehensive value across a health system. This multidomain framework can be used to help drive oncologic care decisions within a health system.

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.

Evaluation of an enhanced recovery after lung surgery (ERALS) program in lung cancer lobectomy: An eight-year experience

INTRODUCTION

Enhanced recovery after lung surgery (ERALS) protocols have proven useful in reducing postoperative stay (POS) and postoperative complications (POC). We studied the performance of an ERALS program for lung cancer lobectomy in our institution, aiming to identify which factors are associated with a reduction of POC and POS.

METHODS

Analytic retrospective observational study conducted in a tertiary care teaching hospital involving patients submitted to lobectomy for lung cancer and included in an ERALS program. Univariable and multivariable analysis were employed to identify factors associated with increased risk of POC and prolonged POS.

RESULTS

A total 624 patients were enrolled in the ERALS program. The median POS was 4 days (range 1-63), with 2.9% of ICU postoperative admission. A videothoracoscopic approach was used in 66.6% of cases, and 174 patients (27.9%) experienced at least one POC. Perioperative mortality rate was 0.8% (5 cases). Mobilization to chair in the first 24h after surgery was achieved in 82.5% of cases, with 46.5% of patients achieving ambulation in the first 24h. Absence of mobilization to chair and preoperative FEV1% less than 60% predicted, were identified as independent risk factors for POC, while thoracotomy approach and the presence of POC predicted prolonged POS.

CONCLUSIONS

We observed a reduction in ICU admissions and POS contemporaneous with the use of an ERALS program in our institution. We demonstrated that early mobilization and videothoracoscopic approach are modifiable independent predictors of reduced POC and POS, respectively.

A novel model for predicting prolonged stay of patients with type-2 diabetes mellitus: a 13-year (2010-2022) multicenter retrospective case-control study

BACKGROUND

Length of stay (LOS) is an important metric for evaluating the management of inpatients. This study aimed to explore the factors impacting the LOS of inpatients with type-2 diabetes mellitus (T2DM) and develop a predictive model for the early identification of inpatients with prolonged LOS.

METHODS

A 13-year multicenter retrospective study was conducted on 83,776 patients with T2DM to develop and validate a clinical predictive tool for prolonged LOS. Least absolute shrinkage and selection operator regression model and multivariable logistic regression analysis were adopted to build the risk model for prolonged LOS, and a nomogram was taken to visualize the model. Furthermore, receiver operating characteristic curves, calibration curves, and decision curve analysis and clinical impact curves were used to respectively validate the discrimination, calibration, and clinical applicability of the model.

RESULTS

The result showed that age, cerebral infarction, antihypertensive drug use, antiplatelet and anticoagulant use, past surgical history, past medical history, smoking, drinking, and neutrophil percentage-to-albumin ratio were closely related to the prolonged LOS. Area under the curve values of the nomogram in the training, internal validation, external validation set 1, and external validation set 2 were 0.803 (95% CI [confidence interval] 0.799-0.808), 0.794 (95% CI 0.788-0.800), 0.754 (95% CI 0.739-0.770), and 0.743 (95% CI 0.722-0.763), respectively. The calibration curves indicated that the nomogram had a strong calibration. Besides, decision curve analysis, and clinical impact curves exhibited that the nomogram had favorable clinical practical value. Besides, an online interface ( https://cytjt007.shinyapps.io/prolonged_los/ ) was developed to provide convenient access for users.

CONCLUSION

In sum, the proposed model could predict the possible prolonged LOS of inpatients with T2DM and help the clinicians to improve efficiency in bed management.

Predictive factors of prolonged postoperative length of stay after anatomic pulmonary resection

INTRODUCTION

The objective of this study is to create a predictive model of prolonged postoperative length of stay (PLOS) in patients undergoing anatomic lung resection, to validate it in an external series and to evaluate the influence of PLOS on readmission and 90-day mortality.

METHODS

All patients registered in the GEVATS database discharged after the intervention were included. We define PLOS as the postoperative stay in days above the 75th percentile of stay for all patients in the series. A univariate and multivariate analysis was performed using logistic regression and the model was validated in an external cohort. The possible association between PLOS and readmission and mortality at 90 days was analyzed.

RESULTS

3473 patients were included in the study. The median postoperative stay was 5 days (IQR: 4-7). 815 patients had PLOS (≥8 days), of which 79.9% had postoperative complications. The final model included as variables: age, BMI, male sex, ppoFEV1%, ppoDLCO% and thoracotomy; the AUC in the referral series was 0.684 (95% CI: 0.661-0.706) and in the validation series was 0.73 (95% CI: 0.681-0.78). A significant association was found between PLOS and readmission (p < .000) and 90-day mortality (p < .000).

CONCLUSIONS

The variables age, BMI, male sex, ppoFEV1%, ppoDLCO% and thoracotomy affect PLOS. PLOS is associated with an increased risk of readmission and 90-day mortality. 20% of PLOS are not related to the occurrence of postoperative complications.

The Effect of Major and Minor Complications After Lung Surgery on Length of Stay and Readmission

The effect of post-operative adverse events (AEs) on patient outcomes such as length of stay (LOS) and readmissions to hospital is not completely understood. This study examined the severity of AEs from a high-volume thoracic surgery center and its effect on the patient postoperative LOS and readmissions to hospital. This study includes patients who underwent an elective lung resection between September 2018 and January 2020. The AEs were grouped as no AEs, 1 or more minor AEs, and 1 or more major AEs. The effects of the AEs on patient LOS and readmissions were examined using a survival analysis and logistic regression, respectively, while adjusting for the other demographic or clinical variables. Among 488 patients who underwent lung surgery, (Wedge resection [n = 100], Segmentectomy [n = 51], Lobectomy [n = 310], Bilobectomy [n = 10], or Pneumonectomy [n = 17]) for either primary (n = 440) or secondary (n = 48) lung cancers, 179 (36.7%) patients had no AEs, 264 (54.1%) patients had 1 or more minor AEs, and 45 (9.2%) patients had 1 or more major AEs. Overall, the median of LOS was 3 days which varied significantly between AE groups; 2, 4, and 8 days among the no, minor, and major AE groups, respectively. In addition, type of surgery, renal disease (urinary tract infection [UTI], urinary retention, or acute kidney injury), and ASA (American Society of Anesthesiology) score were significant predictors of LOS. Finally, 58 (11.9%) patients were readmitted. Readmission was significantly associated with AE group (P = 0.016). No other variable could significantly predict patient readmission. Overall, postoperative AEs significantly affect the postoperative LOS and readmission rates.

[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.

Comorbidity in lung cancer patients and its association with hospital readmission and fatality in China

BACKGROUND

Comorbidity has been established as one of the important predictors of poor prognosis in lung cancer. In this study, we analyzed the prevalence of main comorbidities and its association with hospital readmission and fatality for lung cancer patients in China.

METHODS

The analyses are based on China Urban Employees' Basic Medical insurance (UEBMI) and Urban Residents' Basic Medical Insurance (URBMI) claims database and Hospital Information System (HIS) Database in the Beijing University Cancer Hospital in 2013-2016. We use Elixhauser Comorbidity Index to identify main types of comorbidities.

RESULTS

Among 10,175 lung cancer patients, 32.2% had at least one comorbid condition, and the proportion of patients with one, two, and three or more comorbidities was 21.7, 8.3 and 2.2%, respectively. The most prevalent comorbidities identified were other malignancy (7.5%), hypertension (5.4%), pulmonary disease (3.7%), diabetes mellitus (2.5%), cardiovascular disease (2.4%) and liver disease (2.3%). The predicted probability of having comorbidity and the predicted number of comorbidities was higher for middle elderly age groups, and then decreased among patients older than 85 years. Comorbidity was positively associated with increased risk of 31-days readmission and in-hospital death.

CONCLUSION

Our study is the first to provide an overview of comorbidity among lung cancer patients in China, underlines the necessity of incorporating comorbidity in the design of screening, treatment and management of lung cancer patients in China.

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.

Association Between Patient Physical Function and Length of Stay After Thoracoscopic Lung Cancer Surgery

Patient-reported outcomes (PRO) are an ideal method for measuring patient functional status. We sought to evaluate whether preoperative PRO were associated with resource utilization. We hypothesize that higher preoperative physical function PRO scores, measured via the NIH-sponsored Patient Reported Outcome Measurement Information System (PROMIS), are associated with shorter length of stay (LOS). Preoperative physical function scores were obtained using NIH PROMIS in a prospective observational study of patients undergoing minimally invasive surgery for lung cancer. Poisson regression models were constructed to estimate the association between the length of stay and PROMIS physical function T-score, adjusting for extent of resection, age, gender, and race. Due to the significant interaction between postoperative complications and physical function T-score, the relationship between physical function and LOS was described separately for each complication status. A total of 123 patients were included; 88 lobectomy, 35 sublobar resections. Mean age was 67 years, 35% were male, 65% were Caucasian. Among patients who had a postoperative complication, a lower preoperative physical function T-score was associated with progressively increasing LOS (P  value = 0.006). In particular, LOS decreased by 18% for every 10-point increase in physical function T-score. Among patients without complications, T-score was not associated with LOS (P = 0.86). Preoperative physical function measured via PRO identifies patients who are at risk for longer LOS following thoracoscopic lung cancer surgery. In addition to its utility for preoperative counseling and planning, these data may be useful in identifying patients who may benefit from risk-reduction measures.

Reasons for extended length of stay following chest tube removal in general thoracic surgical patients

Background

Many patients undergoing general thoracic surgery can be discharged on the same day as chest tube removal, but some are not, leading to increased resource utilization. This study assesses the frequency and duration of extended length of stay (ELOS) after tube removal and identifies risk factors for ELOS.

Methods

We retrospectively reviewed all adult patients undergoing general thoracic surgery at a tertiary referral medical center captured in the Society of Thoracic Surgeons General Thoracic Surgery Database and obtained detailed clinical data on chest tube management from August 2013 to April 2017. Pre-operative demographics, procedures, diagnoses, comorbidities, hospital service category, and lab values were examined to identify risk factors associated with ELOS after chest tube removal using multivariable generalized linear regression models.

Results

One thousand and four hundred seventy patients had ≥1 chest tubes placed at the time of operation and discharged after chest tube removal: anatomic lung resection (34%), wedge resection (29%), decortication (16%), and other (21%). Fifty-one percent of these patients were male, 81% were white, and the mean age was 59 years (SD: 15 years). One-third of the patients had prior cardiothoracic operations. Twenty-three percent of these patients had ELOS, defined as discharge ≥1 calendar day after chest tube removal with a median additional hospital stay of 3 days (interquartile range, 2–7 days). A multivariable regression model demonstrated that risk factors for ELOS included being admitted to an oncology or transplant service, undergoing decortication procedure, active smoking, and increased disability.

Conclusions

Patients with obesity, more severe disability, or actively smoking, undergoing, decortication, admitted to transplant and oncology services were more likely to experience ELOS. These factors should be considered when identifying appropriate patient groups for fast-track algorithms.

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.

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.

Development and validation of nomogram estimating post-surgery hospital stay of lung cancer patients: relevance for predictive, preventive, and personalized healthcare strategies

OBJECTIVE

In the era of fast track surgery, early and accurately estimating whether postoperative length of stay (p-LOS) will be prolonged after lung cancer surgery is very important, both for patient's discharge planning and hospital bed management. Pulmonary function tests (PFTs) are very valuable routine examinations which should not be underutilized before lung cancer surgery. Thus, this study aimed to establish an accurate but simple prediction tool, based on PFTs, for achieving a personalized prediction of prolonged p-LOS in patients following lung resection.

METHODS

The medical information of 1257 patients undergoing lung cancer surgery were retrospectively reviewed and served as the training set. p-LOS exceeding the third quartile value was considered prolonged. Using logistic regression analyses, potential predictors of prolonged p-LOS were identified among various preoperative factors containing PFTs and intraoperative factors. A nomogram was constructed and subjected to internal and external validation.

RESULTS

Five independent risk factors for prolonged p-LOS were identified, including older age, being male, and ratio of residual volume to total lung capacity (RV/TLC) ≥ 45.0% which is the only modifiable risk factor, more invasive surgical approach, and surgical type. The nomogram comprised of these five predictors exhibited sufficient predictive accuracy, with the area under the receiver operating characteristic curve (AUC) of 0.76 [95% confidence interval (CI) 0.73-0.79] in the internal validation. Also its predictive performance remained fine in the external validation, with the AUC of 0.70 (95% CI 0.60-0.79). The calibration curves showed satisfactory agreements between the model predicted probability and the actually observed probability.

CONCLUSIONS

Preoperative amelioration of RV/TLC may prevent lung cancer patients from unnecessary prolonged p-LOS. The integrated nomogram we developed could provide personalized risk prediction of prolonged p-LOS. This prediction tool may help patients perceive expected hospital stays and enable clinicians to achieve better bed management after lung cancer surgery.

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.

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.

Chest tube drainage versus needle aspiration for primary spontaneous pneumothorax: which is better?

Background

Needle aspiration and chest tube drainages are two main treatments for primary spontaneous pneumothorax (PSP). However, the application of needle aspiration or chest tube drainages has not reached a consensus. The aim of this study is to compare the needle aspiration with chest tube drainages in patients suffering with PSP and therefore help offer suggestions for clinical practice.

Methods

We searched literatures from PubMed, OVID and Web of Science from their inception to June 30, 2017. Continuous and dichotomous outcomes were expressed by weight mean difference (WMD) and risk ratio (RR) respectively, and each with 95% confidence intervals (CIs). We used the fixed effect or random effect model to perform quantitative synthesis.

Results

A total of 6 RCTs recruiting 458 participants were included in our analysis. On the basis of the six studies, our results indicated that compared with chest tube drainage applying needle aspiration shortened the hospital stay (WMD: ‒1.67 days; 95% CI: ‒2.25 to 1.08; P<0.001) and decreased hospitalization rate (RR: 0.40; 95% CI: 0.22-0.75; P=0.004). However, there was no difference regarding immediate success rate (RR: 1.01; 95% CI: 0.70-1.46; P=0.96) and one-year recurrence rate (RR: 0.89; 95% CI: 0.58-1.38; P=0.61).

Conclusions

In the light of this present research, it is necessary to apply needle aspiration into treating PSP to reduce hospitalization rate and shorten hospital stay. However, the two treatments have no significant difference with respect to immediate success rate, one-year recurrence rate, one-week success rate, three-month recurrence rate or complication rate.

Using decision trees to explore the association between the length of stay and potentially avoidable readmissions: A retrospective cohort study

BACKGROUND

There is a growing concern that reduction in hospital length of stay (LOS) may raise the rate of hospital readmission. This study aims to identify the rate of avoidable 30-day readmission and find out the association between LOS and readmission.

METHODS

All consecutive patient admissions to the internal medicine services (n = 5,273) at King Abdullah University Hospital in Jordan between 1 December 2012 and 31 December 2013 were analyzed. To identify avoidable readmissions, a validated computerized algorithm called SQLape was used. The multinomial logistic regression was firstly employed. Then, detailed analysis was performed using the Decision Trees (DTs) model, one of the most widely used data mining algorithms in Clinical Decision Support Systems (CDSS).

RESULTS

The potentially avoidable 30-day readmission rate was 44%, and patients with longer LOS were more likely to be readmitted avoidably. However, LOS had a significant negative effect on unavoidable readmissions.

CONCLUSIONS

The avoidable readmission rate is still highly unacceptable. Because LOS potentially increases the likelihood of avoidable readmission, it is still possible to achieve a shorter LOS without increasing the readmission rate. Moreover, the way the DT model classified patient subgroups of readmissions based on patient characteristics and LOS is applicable in real clinical decisions.

High lung cancer surgical procedure volume is associated with shorter length of stay and lower risks of re-admission and death: National cohort analysis in England

It is debated whether treating cancer patients in high-volume surgical centres can lead to improvement in outcomes, such as shorter length of hospital stay, decreased frequency and severity of post-operative complications, decreased re-admission, and decreased mortality. The dataset for this analysis was based on cancer registration and hospital discharge data and comprised information on 15,738 non-small-cell lung cancer patients resident and diagnosed in England in 2006-2010 and treated by surgical resection. The number of lung cancer resections was computed for each hospital in each calendar year, and patients were assigned to a hospital volume quintile on the basis of the volume of their hospital. Hospitals with large lung cancer surgical resection volumes were less restrictive in their selection of patients for surgical management and provided a higher resection rate to their geographical population. Higher volume hospitals had shorter length of stay and the odds of re-admission were 15% lower in the highest hospital volume quintile compared with the lowest quintile. Mortality risks were 1% after 30 d and 3% after 90 d. Patients from hospitals in the highest volume quintile had about half the odds of death within 30 d than patients from the lowest quintile. Variations in outcomes were generally small, but in the same direction, with consistently better outcomes in the larger hospitals. This gives support to the ongoing trend towards centralisation of clinical services, but service re-organisation needs to take account of not only the size of hospitals but also referral routes and patient access.

Unexpected readmission after lung cancer surgery: A benign event?

OBJECTIVE

The study objective was to study the incidence, predictors, and implications of unanticipated early postoperative readmission after lung resection for non-small cell lung cancer.

METHODS

Patients undergoing surgery for clinical stage I to III non-small cell lung cancer were abstracted from the National Cancer Database. Regression models were fitted to identify predictors of 30-day readmission and to study the association of unplanned readmission with 30-day and long-term survival.

RESULTS

Between 1998 and 2010, 129,893 patients underwent resection for stage I to III non-small cell lung cancer. Of these, 5624 (4.3%) were unexpectedly readmitted within 30 days. In a multivariate regression model, increasing age, male gender, preoperative radiation, and pneumonectomy (odds ratio, 1.77; 95% confidence interval, 1.56-2.00) were associated with unexpected readmissions. Longer index hospitalization and higher Charlson comorbidity score were also predictive of readmission. The 30-day mortality for readmitted patients was higher (3.9% vs 2.8%), as was the 90-day mortality (7.0% vs 3.3%, both P < .001). In a multivariate Cox proportional hazards model of long-term survival, increasing age, higher Charlson comorbidity score, and higher pathologic stage (hazard ratio, for stage III 1.81; 95% confidence interval, 1.42-2.29) were associated with greater risk of mortality. Unplanned readmission was independently associated with a higher risk of long-term mortality (hazard ratio, 1.40; 95% confidence interval, 1.34-1.47). The median survival for readmitted patients was significantly shorter (38.7 vs 58.5 months, P < .001).

CONCLUSIONS

Unplanned readmissions are not rare after resection for non-small cell lung cancer. Such events are associated with a greater risk of short- and long-term mortality. With the renewed national focus on readmissions and potential financial disincentives, greater resource allocation is needed to identify patients at risk and develop measures to avoid the associated adverse outcomes.

Exploring the burden of inpatient readmissions after major cancer surgery

PURPOSE

Travel distances to care have increased substantially with centralization of complex cancer procedures at high-volume centers. We hypothesize that longer travel distances are associated with higher rates of postoperative readmission and poorer outcomes.

METHODS

SEER-Medicare patients with bladder, lung, pancreas, or esophagus cancer who were diagnosed in 2001 to 2007 and underwent extirpative surgery were included. Readmission rates and survival were calculated using Kaplan-Meier functions. Multivariable negative binomial models were used to examine factors associated with readmission.

RESULTS

Four thousand nine hundred forty cystectomies, 1,573 esophagectomies, 20,362 lung resections, and 2,844 pancreatectomies were included. Thirty- and 90-day readmission rates ranged from 13% to 29% and 23% to 43%, respectively, based on tumor type. Predictors of readmission were discharge to somewhere other than home, longer length of stay, comorbidities, higher stage at diagnosis, and longer travel distance (P < .001 for each). Patients who lived farther from the index hospital also had increased emergency room visits and were more likely to be readmitted to a hospital other than the index hospital (P < .001). Of readmitted patients, 31.9% were readmitted more than once. Long-term survival was worse and costs of care higher for patients who were readmitted (P < .001 for all).

CONCLUSION

The burden of readmissions after major cancer surgery is high, resulting in substantially poorer patient outcomes and higher costs. Risk of readmission was most strongly associated with length of stay and discharge destination. Travel distance also has an impact on patterns of readmission. Interventions targeted at higher risk individuals could potentially decrease the population burden of readmissions after major cancer surgery.

Hospital readmission after pulmonary lobectomy is not affected by surgical approach

BACKGROUND

The aim of this study is to identify the predictors of hospital readmission or early unplanned return to clinic within 30 days of discharge after pulmonary lobectomy.

METHODS

The medical records of patients undergoing lobectomy by the thoracic surgery service between January 2009 and July 2012 were reviewed. All lobectomies were included irrespective of the etiology of disease. Multivariate logistic regression methods were used to identify predictors of readmission and or early unplanned return to clinic.

RESULTS

Two hundred thirteen patients underwent a pulmonary lobectomy during the study period (median age, 67 years). Pathologic diagnosis was malignant in 94% of the patients and benign in 6%. Minimally invasive approaches were used in 69% of the patients, whereas open thoracotomy was used in 31%. Median hospital length of stay was 4 days, and postoperative mortality occurred in 1 patient (0.5%). The Charlson comorbidity index was 1 ± 1. Predicted postoperative forced expiratory volume in 1 second and diffusing capacity of the lung for carbon monoxide were 68% ± 18% and 64% ± 17%, respectively. Postoperative complications occurred in 31% of patients; 13% required readmission to the hospital within 30 days of discharge or early unplanned return to clinic. Predictors of readmission or early unplanned return to clinic were unplanned transfer to the intensive care unit (odds ratio, 10.4; 95% confidence interval, 1.1 to 103.5; p = 0.04) and Charlson comorbidity index greater than 0 (odds ratio, 1.5; 95% confidence interval, 1.04 to 2.03; p = 0.03). Readmission or early unplanned return to clinic was independent of surgical approach (p = 0.32).

CONCLUSIONS

Patients who require a postoperative transfer to the intensive care unit or with higher Charlson comorbidity index are at higher risk for hospital readmission after pulmonary lobectomy. Readmission was not affected by the surgical approach. Whether a different strategy to follow-up for these high-risk patients can prevent readmission remains to be determined.

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

OBJECTIVES

Postoperative readmission affects patient care and healthcare costs. There is a paucity of nationwide data describing the clinical significance of readmission after thoracic operations. The purpose of this study was to evaluate the relationship between postoperative readmission and mortality after lung cancer resection.

METHODS

Data were extracted for patients undergoing lung cancer resection from the linked Surveillance Epidemiology and End Results-Medicare registry (2006-2011), including demographics, comorbidities, socioeconomic factors, readmission within 30 days from discharge, and 90-day mortality. Readmitting facility and diagnoses were identified. A hierarchical regression model clustered at the hospital level identified predictors of readmission.

RESULTS

We identified 11,432 patients undergoing lung cancer resection discharged alive from 677 hospitals. The median age was 74.5 years, and 52% of patients received an open lobectomy. Thirty-day readmission rate was 12.8%, and 28.3% of readmissions were to facilities that did not perform the original operation. Readmission was associated with a 6-fold increase in 90-day mortality (14.4% vs 2.5%, P<.001). The most common readmitting diagnoses were respiratory insufficiency, pneumonia, pneumothorax, and cardiac complications. Patient factors associated with readmission included resection type; age; prior induction chemoradiation; preoperative comorbidities, including congestive heart failure and chronic obstructive pulmonary disease; and low regional population density.

CONCLUSIONS

Factors associated with early readmission after lung cancer resection include patient comorbidities, type of operation, and socioeconomic factors. Metrics that only report readmissions to the operative provider miss one-fourth of all cases. Readmitted patients have an increased risk of death and demand maximum attention and optimal care.

Factors associated with a prolonged length of stay after acute exacerbation of chronic obstructive pulmonary disease (AECOPD)

Background

Early identification of patients with a prolonged stay due to acute exacerbation of chronic obstructive pulmonary disease (COPD) may reduce risk of adverse event and treatment costs. This study aimed to identify predictors of prolonged stay after acute exacerbation of COPD based on variables on admission; the study also looked to establish a prediction model for length of stay (LOS).

Methods

We extracted demographic and clinical data from the medical records of 599 patients discharged after an acute exacerbation of COPD between March 2006 and December 2008 at Oslo University Hospital, Aker. We used logistic regression analyses to assess predictors of a length of stay above the 75th percentile and assessed the area under the receiving operating characteristic curve to evaluate the model’s performance.

Results

We included 590 patients (54% women) aged 73.2±10.8 years (mean ± standard deviation) in the analyses. Median LOS was 6.0 days (interquartile range [IQR] 3.5–11.0). In multivariate analysis, admission between Thursday and Saturday (odds ratio [OR] 2.24 [95% CI 1.60–3.51], P<0.001), heart failure (OR 2.26, 95% CI 1.34–3.80), diabetes (OR 1.90, 95% CI 1.07–3.37), stroke (OR 1.83, 95% CI 1.04–3.21), high arterial PCO₂ (OR 1.26 [95% CI 1.13–1.41], P<0.001), and low serum albumin level (OR 0.92 [95% CI 0.87–0.97], P=0.001) were associated with a LOS >11 days. The statistical model had an area under the receiver operating characteristic curve of 0.73.

Conclusion

Admission between Thursday and Saturday, heart failure, diabetes, stroke, high arterial PCO₂, and low serum albumin level were associated with a prolonged LOS. These findings may help physicians to identify patients that will need a prolonged LOS in the early stages of admission. However, the predictive model exhibited suboptimal performance and hence is not ready for clinical use.