Hospitalization Costs After Surgery in High-Risk Patients With Early Stage Lung Cancer

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.

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.

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.