Literature DB >> 34865321

Risk factors for in-hospital mortality in patients with advanced lung cancer with interstitial pneumonia undergoing systemic chemotherapy: A retrospective and observational study using a nationwide administrative database in Japan.

Tomoko Shiraishi1, Keishi Oda1, Kei Yamasaki1, Takashi Kido2, Konomi Sennari1, Hiroshi Mukae2, Makoto Ohtani3, Yoshihisa Fujino4, Shinya Matsuda5, Kiyohide Fushimi6, Kazuhiro Yatera1.   

Abstract

BACKGROUND: The safety profile of systemic chemotherapy for lung cancer patients with interstitial pneumonia (IP) in clinical practice remains unclear. Using Diagnostic Procedure Combination (DPC) data from the Japanese administrative database, we investigated the mortality of hospitalized lung cancer patients with IP as they underwent a course of systemic chemotherapy nationwide.
METHODS: The DPC data of patients with stage IIIB or IV lung cancer as defined by the Union for International Cancer Control Tumor-Nodes-Metastases 6th and 7th editions from April 2014 to March 2016 were obtained. Among those patients, only patients with concomitant IP and receiving systemic chemotherapy without radiotherapy were included.
RESULTS: Among 1524 included patients, 70 (4.6%) died in the hospital. Multivariate analysis revealed that low activities of daily living (ADL) scores on admission (hazard ratio [HR] 2.26, 95% confidence interval [CI] 1.24-4.12, p = 0.008) and high-dose corticosteroid therapy following chemotherapy (HR 2.62, 95% CI 1.44-4.77, p = 0.002) were strongly associated with in-hospital mortality. It was determined that patients possibly received high-dose corticosteroids for IP exacerbations; these patients had a higher in-hospital mortality rate of 67.7% (21/31 patients) and a significantly shorter median survival time of 55 days (95% CI 31-69 days, p < 0.001) than those who did not receive high-dose corticosteroids.
CONCLUSION: Acute exacerbation of IP treated with systemic high-dose corticosteroids is significantly associated with in-hospital mortality, and a low ADL score on admission is a risk factor for in-hospital mortality in lung cancer patients with IP who undergo systemic chemotherapy.
© 2021 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  activities of daily living; chemotherapy; in-hospital mortality; interstitial pneumonia; lung cancer

Mesh:

Year:  2021        PMID: 34865321      PMCID: PMC8758426          DOI: 10.1111/1759-7714.14254

Source DB:  PubMed          Journal:  Thorac Cancer        ISSN: 1759-7706            Impact factor:   3.500


INTRODUCTION

Lung cancer patients with interstitial pneumonia (IP) are continuously at risk for disease progression, especially acute IP exacerbations. A high mortality rate of approximately 50% within 3 months or less is usually observed in patients with acute idiopathic pulmonary fibrosis (IPF) exacerbations. , , It has been reported that the incidence of lung cancer is seven to 14 times higher in patients with IP than in those without IP. Additionally, 5–10% of patients with advanced lung cancer who require chemotherapy have IP complications. The prognoses of lung cancer and IPF, among the other causes of interstitial pneumonia, are similar, and whether or not aggressive systemic chemotherapy is warranted for lung cancer patients with IP is unclear. Systemic chemotherapy for lung cancer may extend the prognosis of patients with concomitant lung cancer and IP , ; however, the specific protective and risk factors in these patients are not yet completely understood. Besides known risk factors for in‐hospital mortality such as older age, poor (3, 4) Eastern Cooperative Oncology Group Performance Status (ECOG‐PS), neutropenia, and thromboembolism, treatment with systemic chemotherapy is also a known risk factor for acute IP exacerbations in lung cancer patients with IPF. , A risk scoring system to predict acute IPF exacerbations using a patient's smoking history, chemotherapeutic medication history, and diffusing capacity of the lung for carbon monoxide has been proposed ; however, the safety of chemotherapy in lung cancer patients with IP in clinical practice remains unclear. The Diagnosis Procedure Combination (DPC) is a Japanese administrative claims database of inpatient care, covering approximately 60% of all hospitalizations nationwide. The DPC stores information on patient admission and discharge. This includes each patient's working diagnosis on admission, height, weight, activities of daily living (ADL) scores, physical examination findings, and medication intake, among others. Using the Japanese DPC database, we investigated risk factors for mortality among lung cancer patients with IP undergoing in‐hospital systemic chemotherapy.

METHODS

Data collection

Information on each patient's primary disease and any comorbidities they may have had on admission was retrieved from the DPC database. Data on any diseases that developed during each patient's hospitalization were likewise collected. Disease data were retrieved as International Classification of Disease 10th Revision (ICD‐10) codes. Data on each patient's age, sex, height, weight, smoking index (based on the Brinkman index: the number of cigarettes smoked per day multiplied by the number of years of smoking), ADL score (represented by the Barthel Index), severity of dyspnea scale score (Fletcher, Hugh‐Jones dyspnea scale; Japanese version of the modified Medical Research Council dyspnea scale), and medical management details were also obtained for this study. The DPC data of patients with stage IIIB or IV lung cancer as defined by the Union for International Cancer Control Tumor‐Nodes‐Metastases (UICC TNM) 6th and 7th editions from April 2014 to March 2016 were used. Patients treated with radiation therapy (DPC code “M001 external beam radiation therapy”) during hospitalization were excluded; irradiation site data was unavailable.

Definitions

A patient was identified as having lung cancer if an ICD‐10 code of C34 (malignant neoplasm of bronchus and lung) was noted in that patient's DPC database record (Figure 1). Similarly, a patient was identified as having interstitial pneumonia if an ICD‐10 code of J84, J84.1, or J84.9 (other interstitial pulmonary diseases, other interstitial pulmonary diseases with fibrosis, interstitial pulmonary disease, unspecified) was noted in that patient's DPC database record. (Figure 1). Lung cancer stage was defined according to the UICC TNM 6th and 7th editions. Since acute exacerbations of IP are rarely entered as a disease name in the DPC, we investigated the use of high‐dose corticosteroid therapy to identify acute exacerbations of IP; high‐dose corticosteroid therapy is a standard treatment for acute exacerbations of IP in Japan. We also investigated whether the patients received high‐dose corticosteroid therapy for diseases other than IP based on the name of the primary disease, comorbidities, and disease onset at admission. High‐dose corticosteroid therapy was defined as methylprednisolone use of 500 mg/day or more following systemic chemotherapy for lung cancer. “Overlapping regimen” cases were defined as patients who underwent treatment with two or more regimens during one hospital stay.
FIGURE 1

ICD‐10 diagnosis code of lung cancer and interstitial pneumonia cases

ICD‐10 diagnosis code of lung cancer and interstitial pneumonia cases

Outcomes

The primary outcome of this study was in‐hospital mortality. The secondary outcome was survival time according to identified risk factors significantly related to in‐hospital mortality.

Statistical analysis

Statistical significance was set at p < 0.05. To determine survival, the starting point was defined as the date of admission, the censoring point as the date of discharge, and the end point as death. Factors involved in‐hospital mortality were analyzed using the Cox proportional hazards model. A univariate analysis was performed on each patient factor based on the Cox proportional hazards model, and any factors that were statistically significant in the univariate analysis were incorporated as covariates. A multivariate analysis was then performed on these variables based on the Cox proportional hazard model. In the analyses, the proportional hazard property was examined using the Schoenfeld residual plot for each variable. The assumption of proportional hazards was not rejected. In addition, patient survival times were estimated using the Kaplan–Meier method for factors that were found to be significant in the multivariate analysis. The log‐rank test was used to assess any significant differences in the median survival time. EZR software (Saitama Medical Center, Jichi Medical University, Saitama, Japan) was used for the statistical analyses as demonstrated by Kanda.

RESULTS

Patient background

Among the 65 535 stage IIIB/IV lung cancer patients treated with chemotherapy, 1586 had concurrent IP and were receiving systemic chemotherapy and 62 were excluded as they had received radiation therapy, leaving 1524 patients that were eligible for this study (Figure 2). Of these, 70 (4.6%) died in the hospital, with 29 (1.9%) dying within 30 days of hospitalization (Table 1).
FIGURE 2

Patient selection flow chart

TABLE 1

Clinical characteristics of patients

Total n (%) = 1524 (100)
Age (years) (median [range]) 71.0 (34.0–91.0) Brinkmann Index
18–64 (%)392 (25.8)<400 (%)458 (30.1)
65–74 (%)698 (45.8)≥400 (%)1066 (69.9)
≥75 (%)434 (28.5)Therapy of interstitial pneumonia
SexAntifibrotic agent (%)16 (1.0)
Male (%)1280 (84.0)Immunosuppression drugs (%)18 (1.2)
Female (%)244 (16.0)Corticosteroids before chemotherapy (%)124 (8.1)
BMI (kg/m2) (mean ± SD)22.5 ± 3.3Supportive therapy
<19 (%)161 (10.6)G‐CSF (%)351 (23.0)
19–24 (%)1024 (67.2)Red blood cell transfusion (%)34 (2.2)
≥25 (%)332 (21.8)Platelet transfusion (%)28 (1.8)
Missing (%)7 (0.5)Cytotoxic agents
F, H‐J scaleMonotherapy (%)393 (25.8)
1–2 (%)1045(68.6)Platinum doublet (%)863 (56.6)
3–5 (%)442 (29.0)Platinum triplet (%)142 (9.3)
Missing (%)37 (2.4)Other combination therapy (%)24 (1.6)
ADL on admissionTKI (%)51 (3.3)
Independent (100–95) (%)1375 (90.2)Platinum monotherapy (%)11 (0.7)
Dependent (≤90) (%)106 (7.0)Overlapping a (%)40 (2.6)
Missing (%)43 (2.8)Histology
ComorbidityNSCLC (%)467 (30.6)
aCCISCLC・LCNEC (%)262 (17.2)
≤3 (%)380 (24.9)Not otherwise specified (%)795 (52.2)
4–5 (%)880 (57.7)High‐dose Corticosteroids b use after chemotherapy (%)31 (2.0)
≥6 (%)264 (17.3)Hospital volume (per‐year) (median [range])7.0 [1.0–44.0]
Dementia (%)168 (11.0)≥7866 (56.8)
Collagen diseases (%)106 (7.0)<7658 (43.2)
IPF (%)150 (9.8)In‐hospital death (%)70 (4.6)

Abbreviations: aCCI, age‐adjusted Charlson comorbidity index; ADL, activities of daily living; BMI, body mass index; F, H‐J scale, Fletcher, Hugh‐Jones scale; G‐CSF, granulocyte colony‐stimulating factor; IPF, idiopathic pulmonary fibrosis; IPF, idiopathic pulmonary fibrosis; LCNEC, large cell neuroendocrine carcinoma; NSCLC, non‐small‐cell lung carcinoma; platinum doublet, combination with platinum agents; platinum triplet, combination with platinum agents and other two anticancer agent; SCLC, small cell lung carcinoma; SD, standard deviation; TKI, tyrosine kinase inhibitor.

Overlapping; more than two regimens of cytotoxic agents were used during one hospitalization.

High‐dose corticosteroids; methylprednisolone ≥500 mg/day following chemotherapy.

Patient selection flow chart Clinical characteristics of patients Abbreviations: aCCI, age‐adjusted Charlson comorbidity index; ADL, activities of daily living; BMI, body mass index; F, H‐J scale, Fletcher, Hugh‐Jones scale; G‐CSF, granulocyte colony‐stimulating factor; IPF, idiopathic pulmonary fibrosis; IPF, idiopathic pulmonary fibrosis; LCNEC, large cell neuroendocrine carcinoma; NSCLC, non‐small‐cell lung carcinoma; platinum doublet, combination with platinum agents; platinum triplet, combination with platinum agents and other two anticancer agent; SCLC, small cell lung carcinoma; SD, standard deviation; TKI, tyrosine kinase inhibitor. Overlapping; more than two regimens of cytotoxic agents were used during one hospitalization. High‐dose corticosteroids; methylprednisolone ≥500 mg/day following chemotherapy. Table 2 shows the chemotherapeutic regimens administered to patients involved in this study, which were classified by their risk scores for acute IP exacerbations as proposed by Isobe et al. We noted that 10% of patients involved in this study had been administered chemotherapeutic regimens while having a risk score of 3, indicating a 30% or higher probability of developing an acute IP exacerbation (Table 2).
TABLE 2

Chemotherapeutic regimens administered classified by the risk for an acute interstitial pneumonia exacerbation

Cytotoxic agentsRisk score a nHistologyHigh‐dose corticosteroid b use after chemotherapy (n)
NSCLC (n [%])SCLC・LCNEC (n [%])Not otherwise specified (n [%])
467 (30.6)262 (17.2)795 (53.2)
CBDCA+PTX1143689661
CBDCA+PTX+Bev158240341
PTX11721051
CBDCA+nab‐PTX1133591734
nab‐PTX1179082
CDDP+S‐1141030
CBDCA+S‐1149260231
S‐1134221112
CDDP+VP‐16183035482
CBDCA+VP‐16126231381213
VP‐16150410
CDDP1107030
CBDCA111000
CDDP+PEM250250252
CDDP+PEM+Bev22380150
CBDCA+PEM279400390
CBDCA+PEM+Bev259230360
PEM+Bev21320110
PEM257250321
CDDP+DOC251040
CBDCA+DOC273040
DOC+Bev265010
DOC2102440584
CDDP+VNR243010
CBDCA+VNR221010
VNR242200221
NGT250023271
Gefitinib326110151
Erlotinib3137060
Afatinib3118030
Crizotinib310010
CDDP+CPT‐1132502230
CBDCA+CPT‐113140770
CPT‐113111370
CDDP+GEM+Bev320020
GEM+VNR351040
GEM374030
AMR351119310
Overlapping c 40122214

Abbreviations: AMR, amrubicin; Bev, bevacizumab; CBDCA, carboplatin; CDDP, cisplatin; CPT‐11, irinotecan; DOC, docetaxel; GEM, gemcitabine; LCNEC, large cell neuroendocrine carcinoma; nab‐PTX, nanoparticle albumin‐bound paclitaxel; NGT, nogitecan; NSCLC, non‐small‐cell lung carcinoma; PEM, pemetrexed; PTX, paclitaxel; SCLC, small‐cell lung carcinoma; VNR, vinorelbine; VP‐16, etoposide.

An acute exacerbation frequency of 30%, 11–29%, and <10% was classified as high (3 points), moderate (2 points), and low risk (1 point), respectively.

High‐dose corticosteroids; methylprednisolone ≥500 mg/day.

Overlapping; more than two regimens of cytotoxic agents were used during one hospitalization.

Chemotherapeutic regimens administered classified by the risk for an acute interstitial pneumonia exacerbation Abbreviations: AMR, amrubicin; Bev, bevacizumab; CBDCA, carboplatin; CDDP, cisplatin; CPT‐11, irinotecan; DOC, docetaxel; GEM, gemcitabine; LCNEC, large cell neuroendocrine carcinoma; nab‐PTX, nanoparticle albumin‐bound paclitaxel; NGT, nogitecan; NSCLC, non‐small‐cell lung carcinoma; PEM, pemetrexed; PTX, paclitaxel; SCLC, small‐cell lung carcinoma; VNR, vinorelbine; VP‐16, etoposide. An acute exacerbation frequency of 30%, 11–29%, and <10% was classified as high (3 points), moderate (2 points), and low risk (1 point), respectively. High‐dose corticosteroids; methylprednisolone ≥500 mg/day. Overlapping; more than two regimens of cytotoxic agents were used during one hospitalization.

Factors related to in‐hospital mortality

Factors related to in‐hospital mortality for lung cancer treated with systemic chemotherapy were analyzed using the Cox proportional hazards model (Table 3). Univariate analysis revealed that poor respiratory condition on admission (Fletcher, Hugh‐Jones scale 3–5), low ADL scores on admission (Barthel Index ≤90), platelet transfusion, and high‐dose corticosteroid therapy were related to in‐hospital mortalities following chemotherapy, and among these, high‐dose corticosteroid therapy was an especially strong risk factor for in‐hospital mortality (hazard ratio 3.56, 95% confidence interval 2.08–6.12, p < 0.001) following chemotherapy. Multivariate analysis showed that a low ADL score and high‐dose corticosteroid therapy were associated with in‐hospital mortality. None of the 31 patients who received high‐dose corticosteroid therapy for acute IP exacerbations had any other indications for corticosteroid use (Table 4).
TABLE 3

Variables related to hospitalization death analyzed using the Cox proportional hazard model

TotalUnivariate analysis with Cox's proportional hazard modelMultivariable logistic analysis with Cox's proportional hazard model
n (%) = 1524 (100)Hazard ratio (95% CI) p valueHazard ratio (95% CI) p value
Age (years)
18–64 (%)392 (25.8)1
65–74 (%)698 (45.8)1.3 (0.70–2.43)0.4071.8 (0.91–3.58)0.093
≥75 (%)434 (28.5)1.29 (0.65–2.55)0.4711.56 (0.75–3.23)0.23
Male1280 (84.0)1.25 (0.57–2.76)0.574
BMI (kg/m2)
<19 (%)161 (10.6)1.34 (0.74–2.43)0.333
19–24.9 (%)1024 (67.2)1
≥25 (%)332 (21.8)0.72 (0.36–1.43)0.343
Brinkmann index
<400 (%)458 (30.1)1
≥400 (%)1066 (69.9)0.9 (0.55–1.48)0.679
F, H‐J scale
1–2 (%)1045 (68.6)11
3–5 (%)442 (29.0)1.81 (1.08–3.04)0.0251.43 (0.82–2.50)0.21
ADL on admission
Independent (100–95) (%)1375 (90.2)11
Dependent (≤90) (%)106 (7.0)3.12 (1.82–5.35)<0.0012.26 (1.24–4.12)0.008
Comorbidity
aCCI
≤3380 (24.9)1
4–5880 (57.7)0.96 (0.53–1.74)0.905
≥6264 (17.3)0.81 (0.36–1.81)0.605
With dementia (%)168 (11.0)1.43 (0.52–3.97)0.487
Use of immunosuppression drugs (%)18 (1.2)1.15 (0.36–3.71)0.818
Corticosteroid use before chemotherapy (%)124 (8.1)1.7 (0.91–3.15)0.094
Complications of collagen diseases (%)106 (7.0)0.84 (0.30–2.31)0.735
Diagnosis of IPF (%)150 (9.8)0.65 (0.28–1.52)0.32
Use of antifibrotic agent (%)16 (1.0)1.16 (0.28–4.79)0.838
Supportive therapy (%)
Use of G‐CSF (%)351 (23.0)0.94 (0.58–1.54)0.816
Red blood cell transfusion (%)34 (2.2)1.22 (0.52–2.85)0.645
Platelet transfusion (%)28 (1.8)2.27 (1.15–4.50)0.0191.7 (0.74–3.93)0.21
Hospital volume (per‐year)
≥7866 (56.8)1.09 (0.67–1.76)0.741
<7658 (43.2)1
High‐dose corticosteroid use after chemotherapy (%)31 (2.0)3.56 (2.08–6.12)<0.0012.62 (1.44–4.77)0.002
Histology
NSCLC (%)467 (30.6)0.75 (0.42–1.35)0.341
SCLC・LCNEC (%)262 (17.2)1.02 (0.54–1.91)0.957
Not otherwise specified (%)795 (52.2)1

Abbreviations: aCCI, age‐adjusted Charlson comorbidity index; ADL, activities of daily living; BMI, body mass index; F, H‐J scale, Fletcher, Hugh‐Jones scale; G‐CSF, granulocyte‐colony stimulating factor; IPF, idiopathic pulmonary fibrosis; IPF, idiopathic pulmonary fibrosis; LCNEC, large cell neuroendocrine carcinoma; NSCLC, non‐small‐cell lung carcinoma; platinum doublet, combination with platinum agents; platinum triplet, combination with platinum agents and other two anticancer agent; SCLC, small‐cell lung carcinoma; SD, standard deviation; TKI, tyrosine kinase inhibitor.

TABLE 4

Characteristics and comorbidities of patients who used high‐dose corticosteroids after chemotherapy

CaseAge (years)SexHistologyDPC name for interstitial pneumoniaCytotoxic agentsF, H‐J scaleADLComorbidities (based on ICD‐10)Outcome
179MaleNot otherwise specifiedIPCBDCA+VP‐163IndependentEmphysema, common iliac artery sclerosis, pleural effusionDeath
267MaleSCLCIPOverlapping3IndependentHiatal hernia, reflux esophagitisDeath
367MaleAdenoIPFnab‐PTX2DependentNoneDeath
463MaleNot otherwise specifiedIPOverlapping1IndependentSeborrheic dermatitis, pimples vulgarisSurvival
566MaleSCLCIPNGT4DependentHypertension, chronic gastritis, iron deficiency anemia, hyperlipidemia, postherpetic neuralgia, steroid diabetes, benign prostatic hyperplasiaSurvival
671MaleSqIPCBDCA+nab‐PTX4IndependentChronic obstructive pulmonary diseaseDeath
770MaleNot otherwise specifiedIPOverlapping5MissingHypertension, constipationDeath
864MaleAdenoUIPCDDP+PEM1IndependentHypertension, asthma, ulceration of nasal septumDeath
978MaleNot otherwise specifiedIPCDDP+VP‐161DependentHypoxemia, constipation, hemorrhagic gastric ulcer, febrile neutropeniaDeath
1081MaleNot otherwise specifiedIPPEM2IndependentParoxysmal atrial fibrillation, old cerebral infarction, emphysema, steroid diabetes, reflux esophagitis, disuse syndrome, urinary infectionSurvival
1170MaleNot otherwise specifiedAIPCBDCA+PTX + Bev5DependentType 2 diabetes, neutropenia, anemia, catheter infection, sepsisDeath
1272MaleNSCLCIPCBDCA+nab‐PTXMissingMissingAcute renal failure, hyperkalemia, perforated gastric ulcerDeath
1365MaleNot otherwise specifiedUIPCDDP+VP‐165IndependentNoneDeath
1465MaleNot otherwise specifiedIPCBDCA+nab‐PTX5IndependentWeakness of limbsDeath
1570MaleNot otherwise specifiedIIPCBDCA+PTX3IndependentReflux esophagitisSurvival
1670MaleAdenoIPS‐15DependentChronic respiratory failure, chronic obstructive pulmonary disease, pneumonia, lumbar compression fracture, asthma, thromboembolismDeath
1766MaleNot otherwise specifiedIPDOC2IndependentReflux esophagitisDeath
1881MaleAdenoIPS‐13DependentPleural EffusionSurvival
1974MaleAdenoIPDOCMissingMissingType 2 diabetes, angina, rheumatoid arthritis, neutropenia, hypoalbuminemiaDeath
2065MaleNot otherwise specifiedIIPCBDCA+VP‐163IndependentEmphysema, pleural effusion, chronic respiratory failure, insomnia, constipation, suspected brain contusionDeath
2167MaleAdenoIPDOC1IndependentOld cerebral infarction, hypertension, type 2 diabetesSurvival
2270MaleNot otherwise specifiedAE‐IPnab‐PTX5IndependentSteroid diabetes, hypertension, reflux esophagitis, paroxysmal atrial fibrillation, pneumocystis pneumonia, pleural effusion, chronic heart failureDeath
2364MaleNot otherwise specifiedIPCBDCA+S‐11MissingNoneDeath
2460MaleNot otherwise specifiedIPCDDP+PEM3IndependentPostoperative cardia cancer, fatty liver, hypertension, vomiting associated with chemotherapy, insomnia, pancytopeniaDeath
2577FemaleSCLCIPCBDCA+VP‐164IndependentType 2 diabetes, hypertension, pneumonia, pleural effusion, suspected tuberculosisDeath
2665MaleSqIPCBDCA+nab‐PTX5DependentHypertension, chronic respiratory failure, hemoptysis, hyperlipidemia, chronic pharyngitis, reflux esophagitis, suppurated cystSurvival
2766MaleAdenoIPGefitinib3IndependentType 2 diabetes, peripheral neuropathic pain, osteoporosisSurvival
2862MaleNot otherwise specifiedIPVNR3DependentChronic renal failure, symptomatological epilepsy, constipation, phlebitis, bacterial pneumonia, dysphagiaDeath
2976MaleSqIIPDOC2MissingHypertension, vomiting associated with chemotherapy, chronic gastritis, acute pancreatitis, ringworm on the face, neutropeniaSurvival
3074MaleSCLCIPPTX2IndependentType 2 diabetesSurvival
3162MaleNot otherwise specifiedIPOverlapping a MissingMissingIgA nephropathy, type 2 diabetesDeath

Abbreviations: Adeno, adenocarcinoma; AE‐IP, acute exacerbation of interstitial pneumonia; AIP, acute interstitial pneumonia; Bev, bevacizumab; CBDCA, carboplatin; CDDP, cisplatin; DOC, docetaxel; IgA, immunoglobulin A; IIP, idiopathic interstitial pneumonia; IP, interstitial pneumonia or diffuse interstitial pneumonia; IPF, idiopathic pulmonary fibrosis; nab‐PTX, nanoparticle albumin‐bound paclitaxel; PEM, pemetrexed; PTX, paclitaxel; SCLC, small‐cell lung carcinoma; Sq, squamous carcinoma; UIP, usual interstitial pneumonia; VNR, vinorelbine; VP‐16, etoposide.

Overlapping; more than two regimens of cytotoxic agents were used during one hospitalization.

Variables related to hospitalization death analyzed using the Cox proportional hazard model Abbreviations: aCCI, age‐adjusted Charlson comorbidity index; ADL, activities of daily living; BMI, body mass index; F, H‐J scale, Fletcher, Hugh‐Jones scale; G‐CSF, granulocyte‐colony stimulating factor; IPF, idiopathic pulmonary fibrosis; IPF, idiopathic pulmonary fibrosis; LCNEC, large cell neuroendocrine carcinoma; NSCLC, non‐small‐cell lung carcinoma; platinum doublet, combination with platinum agents; platinum triplet, combination with platinum agents and other two anticancer agent; SCLC, small‐cell lung carcinoma; SD, standard deviation; TKI, tyrosine kinase inhibitor. Characteristics and comorbidities of patients who used high‐dose corticosteroids after chemotherapy Abbreviations: Adeno, adenocarcinoma; AE‐IP, acute exacerbation of interstitial pneumonia; AIP, acute interstitial pneumonia; Bev, bevacizumab; CBDCA, carboplatin; CDDP, cisplatin; DOC, docetaxel; IgA, immunoglobulin A; IIP, idiopathic interstitial pneumonia; IP, interstitial pneumonia or diffuse interstitial pneumonia; IPF, idiopathic pulmonary fibrosis; nab‐PTX, nanoparticle albumin‐bound paclitaxel; PEM, pemetrexed; PTX, paclitaxel; SCLC, small‐cell lung carcinoma; Sq, squamous carcinoma; UIP, usual interstitial pneumonia; VNR, vinorelbine; VP‐16, etoposide. Overlapping; more than two regimens of cytotoxic agents were used during one hospitalization.

Survival time analysis

Using the Kaplan–Meier method, significant factors related to shorter survival times were determined. The factors identified were a low ADL score on admission and treatment with high‐dose corticosteroids (Figure 3). Twenty‐one of the 31 patients (67.7%) treated with high‐dose corticosteroid therapy following chemotherapy died in the hospital.
FIGURE 3

Kaplan–Meier plots of survival probability from the time of admission based on the patients' ability to performed activities of daily living (a) and whether or not they were treated with high‐dose corticosteroids (methylprednisolone ≥ 500 mg/day) (b)

Kaplan–Meier plots of survival probability from the time of admission based on the patients' ability to performed activities of daily living (a) and whether or not they were treated with high‐dose corticosteroids (methylprednisolone ≥ 500 mg/day) (b)

DISCUSSION

This study found that 4.6% (70/1524) of lung cancer patients with IP died in the hospital while being administered systemic chemotherapy, and 1.9% (29/1524) specifically died within 30 days of admission. In addition, a low ADL score on admission was associated with a higher mortality risk from systemic chemotherapy. In this study, we found that acute exacerbations of IP were significantly associated with in‐hospital mortality following chemotherapy. High‐dose corticosteroid therapy is often used to treat acute IP exacerbations; the 31 patients who were treated with high‐dose corticosteroid therapy had no indications for corticosteroid use other than IP exacerbations (Table 4). More than half of the lung cancer patients with IP who underwent high‐dose corticosteroid therapy following systemic chemotherapy died in the hospital. A median survival time of 55 days (31–69 days) was identified. This was similar to the reported 3‐month median survival time of patients with IPF exacerbations, with IPF patients having a fatality rate of 50%. , , Compared to the reported probability of 5%–15% , , for developing acute IP exacerbations from systemic chemotherapy, our study demonstrated that only 2% of lung cancer patients possibly developed an acute IP exacerbation, as evidenced by their receipt of high‐dose corticosteroids. This might be because the clinicians shifted to palliative care to avoid the risk of developing acute IP exacerbations in patients receiving late‐line chemotherapy or those with poor PS with a limited prognosis for advanced lung cancer. The risk of acute IP exacerbation varies depending on the chemotherapeutic regimen used, and some anticancer drugs are contraindicated in patients with IP. The chemotherapeutic regimens involved in this study were similar to those in a previous study that also involved lung cancer patients with IP. The aforementioned study mainly used platinum‐based doublet regimens consisting of paclitaxel (PTX) and nab‐PTX (nanoparticle albumin‐bound PTX) for non‐small‐cell lung cancer and etoposide‐based regimens for small cell lung cancer. A lower risk for acute IP exacerbations has been reported in patients receiving PTX and nab‐PTX for non‐small‐cell lung cancer, , with these patients only having a less than 10% chance of developing an IP exacerbation as their risk scores were only 1. These drugs were used in about half of the patients (53.5%) involved in our study. Treatment of lung cancer patients with IP involves many clinically controversial aspects of note, such as proper appreciation of aggressive anticancer treatment with favorable regimens in each patient considering risk factors. Previous studies enrolled approximately several hundred patients, , , , , and our research was a national survey of more than 1500 lung cancer patients with IP. In addition, since the survey used data from across Japan, the selection bias might be lower than that in previous studies, reflecting better applicability in clinical practice. Although the risk of chemotherapy for patients with low ADL scores (poor PS) is previously reported, no studies have yet explored the risk estimate in lung cancer patients with IP. Considering that lung cancer patients with IP usually have worse prognoses than those without IP, clinicians should be exceedingly cautious about the adequacy of treatment for lung cancer patients with IP and low ADL scores. This study had several limitations. First, the diagnoses retrieved from the DPC database did not reflect the different pathological types of IP. Cases with UIP pattern on chest computed tomography are shown to have a high risk of acute exacerbations of IP. Most cases (71.2%) in the present study had unclassifiable disease name codes (e.g. ICD‐10 J84.1 Interstitial pneumonia, J84.1 Diffuse interstitial pneumonia) in the DPC coding and unclassifiable patterns of IP. Second, laboratory results from blood, imaging, and respiratory function tests were not available, and thus the risk factors for acute IP exacerbations could not be sufficiently evaluated. Third, the DPC did not store data on rehospitalization or outpatient chemotherapy cases. Fourth, it was not possible to identify if a patient received first‐ or second‐line chemotherapy based solely on the data stored in the DPC. Finally, the use of immune checkpoint inhibitors was not adequately assessed in our study because a significant number of patients who had been administered these agents were not included in the target period. In conclusion, when systemic chemotherapy is administered to lung cancer patients with IP, patients with a low ADL score on admission are at increased risk of in‐hospital mortality. Thus, clinicians should be careful in the introduction and selection of chemotherapeutic regimens for these patients. Furthermore, we found that treatment of acute exacerbations of IP with high‐dose corticosteroids was clearly associated with in‐hospital mortality when compared with other risk factors such as age and complications.

CONFLICT OF INTEREST

The authors have no conflict of interest.
  18 in total

1.  Lung cancer and cryptogenic fibrosing alveolitis. A population-based cohort study.

Authors:  R Hubbard; A Venn; S Lewis; J Britton
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2.  New risk scoring system for predicting acute exacerbation of interstitial pneumonia after chemotherapy for lung cancer associated with interstitial pneumonia.

Authors:  Kazutoshi Isobe; Kyohei Kaburaki; Hiroshi Kobayashi; Go Sano; Susumu Sakamoto; Yujiro Takai; Takashi Makino; Naobumi Tochigi; Akira Iyoda; Sakae Homma
Journal:  Lung Cancer       Date:  2018-10-07       Impact factor: 5.705

3.  Incidence of venous thromboembolism and its effect on survival among patients with common cancers.

Authors:  Helen K Chew; Theodore Wun; Danielle Harvey; Hong Zhou; Richard H White
Journal:  Arch Intern Med       Date:  2006-02-27

4.  The risk of cytotoxic chemotherapy-related exacerbation of interstitial lung disease with lung cancer.

Authors:  Hirotsugu Kenmotsu; Tateaki Naito; Madoka Kimura; Akira Ono; Takehito Shukuya; Yukiko Nakamura; Asuka Tsuya; Kyoichi Kaira; Haruyasu Murakami; Toshiaki Takahashi; Masahiro Endo; Nobuyuki Yamamoto
Journal:  J Thorac Oncol       Date:  2011-07       Impact factor: 15.609

5.  Incidence, cost, and mortality of neutropenia hospitalization associated with chemotherapy.

Authors:  Vincent Caggiano; Richard V Weiss; Timothy S Rickert; Walter T Linde-Zwirble
Journal:  Cancer       Date:  2005-05-01       Impact factor: 6.860

6.  Lung cancer in patients with idiopathic pulmonary fibrosis: clinical characteristics and impact on survival.

Authors:  Taehoon Lee; Ji Young Park; Hong Yeul Lee; Young-Jae Cho; Ho Il Yoon; Jae Ho Lee; Sanghoon Jheon; Choon-Taek Lee; Jong Sun Park
Journal:  Respir Med       Date:  2014-08-15       Impact factor: 3.415

7.  Interstitial lung disease in Japanese patients with lung cancer: a cohort and nested case-control study.

Authors:  Shoji Kudoh; Harubumi Kato; Yutaka Nishiwaki; Masahiro Fukuoka; Kouichiro Nakata; Yukito Ichinose; Masahiro Tsuboi; Soichiro Yokota; Kazuhiko Nakagawa; Moritaka Suga; Haiyi Jiang; Yohji Itoh; Alison Armour; Claire Watkins; Tim Higenbottam; Fredrik Nyberg
Journal:  Am J Respir Crit Care Med       Date:  2008-03-12       Impact factor: 21.405

Review 8.  Acute exacerbation of idiopathic pulmonary fibrosis: shifting the paradigm.

Authors:  Christopher J Ryerson; Vincent Cottin; Kevin K Brown; Harold R Collard
Journal:  Eur Respir J       Date:  2015-08       Impact factor: 16.671

9.  Efficacy of chemotherapy for advanced non-small cell lung cancer with idiopathic pulmonary fibrosis.

Authors:  Naohiro Watanabe; Hiroyuki Taniguchi; Yasuhiro Kondoh; Tomoki Kimura; Kensuke Kataoka; Osamu Nishiyama; Masashi Kondo; Yoshinori Hasegawa
Journal:  Respiration       Date:  2012-11-21       Impact factor: 3.580

10.  Risk factors for in-hospital mortality in patients with advanced lung cancer with interstitial pneumonia undergoing systemic chemotherapy: A retrospective and observational study using a nationwide administrative database in Japan.

Authors:  Tomoko Shiraishi; Keishi Oda; Kei Yamasaki; Takashi Kido; Konomi Sennari; Hiroshi Mukae; Makoto Ohtani; Yoshihisa Fujino; Shinya Matsuda; Kiyohide Fushimi; Kazuhiro Yatera
Journal:  Thorac Cancer       Date:  2021-12-05       Impact factor: 3.500

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  2 in total

1.  Risk factors for in-hospital mortality in patients with advanced lung cancer with interstitial pneumonia undergoing systemic chemotherapy: A retrospective and observational study using a nationwide administrative database in Japan.

Authors:  Tomoko Shiraishi; Keishi Oda; Kei Yamasaki; Takashi Kido; Konomi Sennari; Hiroshi Mukae; Makoto Ohtani; Yoshihisa Fujino; Shinya Matsuda; Kiyohide Fushimi; Kazuhiro Yatera
Journal:  Thorac Cancer       Date:  2021-12-05       Impact factor: 3.500

Review 2.  Clinical Efficacy and Safety Analysis of PD-1/PD-L1 Inhibitor vs. Chemotherapy in the Treatment of Advanced Non-Small-Cell Lung Cancer: A Systematic Review and Meta-Analysis.

Authors:  Wei-Wei Guo; Tian-Wei Zhang; Bin-Liang Wang; Li-Qun Mao; Xiao-Bo Li
Journal:  Biomed Res Int       Date:  2022-06-25       Impact factor: 3.246

  2 in total

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