key: cord-0017238-1qzhkfig
authors: Choi, Juwhan; Sim, Jae Kyeom; Oh, Jee Youn; Lee, Young Seok; Hur, Gyu Young; Lee, Sung Yong; Shim, Jae Jeong; Rhee, Chin Kook; Min, Kyung Hoon
title: Prognostic marker for severe acute exacerbation of chronic obstructive pulmonary disease: analysis of diffusing capacity of the lung for carbon monoxide (D(LCO)) and forced expiratory volume in one second (FEV(1))
date: 2021-05-06
journal: BMC Pulm Med
DOI: 10.1186/s12890-021-01519-1
sha: b6db76c445c800d2253b17a601e26c905cc9770e
doc_id: 17238
cord_uid: 1qzhkfig

BACKGROUND: It is important to assess the prognosis of patients with chronic obstructive pulmonary disease (COPD) and acute exacerbation of COPD (AECOPD). Recently, it was suggested that diffusing capacity of the lung for carbon monoxide (D(LCO)) should be added to multidimensional tools for assessing COPD. This study aimed to compare the D(LCO) and forced expiratory volume in one second (FEV(1)) to identify better prognostic factors for admitted patients with AECOPD. METHODS: We retrospectively analyzed 342 patients with AECOPD receiving inpatient treatment. We classified 342 severe AECOPD patients by severity of D(LCO) and FEV(1) (≤ vs. > 50% predicted). We tested the association of FEV(1) and D(LCO) with the following outcomes: in-hospital mortality, need for mechanical ventilation, need for intensive care unit (ICU) care. We analyzed the prognostic factors by multivariate analysis using logistic regression. In addition, we conducted a correlation analysis and receiver operating characteristic (ROC) curve analysis. RESULTS: In multivariate analyses, D(LCO) was associated with mortality (odds ratio = 4.408; 95% CI 1.070–18.167; P = 0.040) and need for mechanical ventilation (odds ratio = 2.855; 95% CI 1.216–6.704; P = 0.016) and ICU care (odds ratios = 2.685; 95% CI 1.290–5.590; P = 0.008). However, there was no statistically significant difference in mortality rate when using FEV(1) classification (P = 0.075). In multivariate linear regression analyses, D(LCO) (B = − 0.542 ± 0.121, P < 0.001) and FEV(1) (B = − 0.106 ± 0.106, P = 0.006) were negatively associated with length of hospital stay. In addition, D(LCO) showed better predictive ability than FEV(1) in ROC curve analysis. The area under the curve (AUC) of D(LCO) was greater than 0.68 for all prognostic factors, and in contrast, the AUC of FEV(1) was less than 0.68. CONCLUSION: D(LCO) was likely to be as good as or better prognostic marker than FEV(1) in severe AECOPD.

Chronic obstructive pulmonary disease (COPD) is a chronic airway disease defined by persistent respiratory symptoms and irreversible airflow limitation [1] [2] [3] . Patients with COPD present with various symptoms, such as cough, sputum, and dyspnea, and these symptoms are closely related to the quality of life and prognosis [4, 5] . The global initiatives for chronic obstructive lung disease (GOLD) reports emphasize treatment based on patient history and symptoms, such as exacerbation history, the modified medical research council dyspnea scale (mMRC), and COPD assessment test (CAT) [6] . Forced expiratory volume in one second (FEV 1 ) is still used to grade the severity of airflow obstruction, but the 'refined ABCD assessment tool' excludes FEV 1 from the criteria for evaluating the 'ABCD' group. This is because the FEV 1 value is weakly correlated with the patient's symptoms and health status [7, 8] . However, pulmonary function tests (PFT) are still important tests for diagnosing and treating COPD in the clinical field. Therefore, we want other PFT factors related to the patient's symptoms and health status rather than FEV 1 . Several studies have shown that the diffusing capacity of the lung for carbon monoxide (D LCO ) among the various values of PFT is closely related to patient symptoms, prognosis, and oxygen demand in COPD [9, 10] . In addition, there was a recent opinion that D LCO should be added to multidimensional tools assessing COPD [11] . This study aimed to compare FEV 1 and D LCO through the prognosis of severe acute exacerbations of COPD (AECOPD).

We retrospectively analyzed the medical records of 342 patients admitted to Korea University Guro Hospital from January 2011 to May 2017. We searched our electronic medical records database with the keywords "COPD" and "Acute exacerbation. " This study was approved by the Institutional Review Board of Korea University Guro Hospital (KUGH16131-002). The requirement for informed consent from the patients was waived due to the retrospective nature of this study by the institutional review committee.

All patients included only patients who were followed up for more than 1 year in our hospital under the diagnosis of COPD. COPD and airflow limitation were diagnosed by synthesizing patient-reported respiratory symptoms, PFT (the ratio of FEV 1 to forced vital capacity (FVC) was less than 70% in post-bronchodilator spirometry), chest image, and patient`s history (smokers with at least ten pack-years of tobacco exposure, etc.) by an experienced pulmonologist [6] . AECOPD was defined as worsening of the patient's respiratory symptoms beyond normal day-to-day variation. Severe AECOPD was defined as 'if the patient needs hospitalization due to AECOPD. ' The spirometry data used in the analysis was previously performed in the outpatient clinic during the stable period. Spirometry value that was measured within 1 year from the hospitalization day were used. Patients were excluded with the following criteria: (1) the cause of admission was not AECOPD; for example, acute heart failure, acute pulmonary edema, acute pulmonary embolism, pneumothorax, and arrhythmia (These diseases were excluded through cardiac enzyme, electrocardiogram, echocardiogram and chest image.), (2) the patient had undergoing active cancer treatment, (3) the patient received a major operation within 3 months, (4) the patient had an acute coronary syndrome, brain hemorrhage, or brain infarction within 3 months, (5) the patient had previously been diagnosed with asthma, and (6) the patient had no D LCO results. All patients were 40 years old or older. We retrospectively analyzed the charts by two experienced pulmonologists to exclude various exclusion factors. "events" is synonymous with "patients" in this study.

We classified 342 severe AECOPD patients by severity of D LCO and FEV 1 (≤ vs. > 50% predicted). When the D LCO value is more than 50 (% of predicted value), it is defined as the 'D LCO normal group' and when it is 50 (% of predicted value) or less, it is defined as the 'D LCO impaired group' [11] . Likewise, when the FEV 1 value is more than 50 (% of predicted value), it is defined as the 'FEV 1 normal group' and when it is 50 (% of predicted value) or less, it is defined as the 'FEV 1 impaired group' (Fig. 1 ).

We tested the association of FEV 1 and D LCO with the following outcomes: in-hospital mortality, need for mechanical ventilation, need for intensive care unit (ICU) care. When the patient was hospitalized more than once, only the first hospitalized events were included, and the others were excluded. The following medical data were analyzed: age, sex, smoking history, comorbidities, baseline spirometry, inhaler and oral medication before admission, length of hospital stay, hospital mortality, experience of mechanical ventilation, and experience of ICU care in hospital.

Data were analyzed using SPSS 20 software (SPSS for Windows, SPSS Inc., Chicago, IL, USA). Data are presented as average ± standard deviation or number (percentage). We performed a statistical analysis in two directions. First, two groups were classified using D LCO and FEV 1 and analyzed statistically. Continuous variables were compared using the independent t-test, and categorical variables were compared using the chi-squared test. We analyzed the prognostic factors (except length of hospital stay) by multivariate analysis through logistic regression. Multivariate analysis was conducted for variables with a P value of less than 0.05 in the univariate analysis, except for baseline spirometry (D LCO and FEV 1 ). In the case of D LCO , multivariate analysis included sex, previous TB history, cerebrovascular accident, inhaler use before admission, oral β2 adrenoreceptor agonist, roflumilast, and mucolytic agent. In the case of FEV 1 , multivariate analysis included age, sex, previous TB history, inhaler use before admission, roflumilast, and mucolytic agent. Multivariate analysis was conducted using a backward elimination procedure and was assessed by the Hosmer-Lemeshow test.

Second, the linear correlation between spirometry factors (D LCO and FEV 1 ) and length of hospital stay were analyzed. In univariate analysis, the correlation coefficients between spirometry factors and length of hospital stay were analyzed using the Pearson correlation analysis. In addition, we performed a multivariate linear regression analysis that included variables with a P value of less than 0.05 in the univariate analysis, except baseline spirometry. In addition, multivariate linear regression analysis was conducted using a backward elimination procedure. In the multivariate analysis, B was the regression coefficient, and a negative sign of the regression coefficient meant that the variables were negatively associated.

Third, we used receiver operating characteristic (ROC) curve analysis to predict the sensitivity and specificity of D LCO, FEV 1 and D LCO + FEV 1 as prognostic markers in severe AECOPD. When analyzing the ROC curve, D LCO, FEV 1 and D LCO + FEV 1 were analyzed as continuous variables. A P value of less than 0.05 was considered statistically significant.

Among the 342 events, the D LCO normal group comprised 227 events (the D LCO value was more than 50% of the predicted value), and 115 in the D LCO impaired group. In the FEV 1 normal group (the FEV 1 value was more than 50% of the predicted value), there was 173 events, and the FEV 1 impaired group 

When classified through D LCO , the D LCO impaired group showed a poor prognosis in all four factors by univariate analysis (Fig. 2) . When classified through FEV 1 , the FEV 1 impaired group showed a poor prognosis in three factors by univariate analysis (Fig. 3) . However, there was no statistically significant mortality rate when classified as FEV 1 (P value = 0.116) (Fig. 3B ). In multivariate analyses, D LCO was associated with mortality (odds ratio = 4.408; 95% CI 1.070-18.167; P = 0.040) and need for mechanical ventilation (odds ratio = 2.855; 95% CI 1.216-6.704; P = 0.016) and ICU care (odds ratios = 2.685; 95% CI 1.290-5.590; P = 0.008). In severe AECOPD, D LCO has been shown to predict mortality rate, ventilator, and ICU possibilities. When classified as FEV 1 , the experience of mechanical ventilation and ICU showed statistical significance. However, there was no significant difference in mortality rate (P = 0.075) ( Table 2) .

The length of hospital stay of the D LCO normal group was 7.3 ± 5.0 days and the D LCO impaired group was 12.4 ± 13.2 days. The length of hospital stay of the FEV 1 normal group was 7.7 ± 5.4 days and the FEV 1 impaired group was 10.4 ± 11.4 days. In the Pearson correlation analysis, both D LCO and FEV 1 showed a negative correlation. In multivariate linear regression analyses, D LCO (B = − 0.542 ± 0.121, P < 0.001) and FEV 1 (B = − 0.106 ± 0.106, P = 0.006) were negatively associated with length of hospital stay. Additionally, the regression coefficient was more pronounced in the D LCO analysis (Table 3) .

When analyzing the sensitivity and specificity using the ROC curve, D LCO showed better predictive ability than FEV 1 (Table 4 ). When analyzing three prognostic factors (mortality in hospital, mechanical ventilation, and ICU care) through ROC curve analysis, area under the curve (AUC) was greater than 0.68 in all cases of D LCO (Fig. 4) . In contrast, the AUCs of FEV 1 were below 0.68 in all three prognostic factors. In addition, the sensitivity and specificity of D LCO were more than 64.1%, which was Table 2 Prognosis analysis for severe AECOPD Multivariate analysis was conducted for variables with a P value of less than 0.05 in the univariate analysis, except for baseline spirometry AECOPD acute exacerbations of chronic obstructive pulmonary disease, FEV 1 forced expiratory volume in one second, D LCO diffusing capacity of the lung for carbon monoxide † Numbers are presented as mean ± standard deviation ‡ Numbers are presented as n (%) 

This is the study to compare FEV 1 and D LCO as prognostic markers in severe patients with AECOPD in Korea. In our study, the factors of prognosis were defined as the length of hospital stay, mortality rate in the hospital, experience of ventilation, and experience of ICU care. Classification by D LCO showed significant differences in all prognostic factors. However, classification by FEV 1 did not show a statistically significant mortality rate. The number of deaths was small, so caution is needed in the interpretation about death (the 95% confidence interval of the odds ratio was large and the P value was marginal).

In the correlation analysis, both D LCO and FEV 1 showed a negative correlation with the length of hospital stay. The correlation coefficient was more pronounced in the D LCO classification. In addition, when analyzing the ROC curve, D LCO showed better predictive ability than FEV 1 . Of course, some odds ratio values were better when classified as FEV 1 in our study. However, D LCO was better in various analysis methods (correlation analysis, ROC curve analysis), which was likely to be as good as or better than FEV 1 . The PFT has various parameters. In general, we used FEV 1 to grade COPD and select the inhaler. In addition to FEV 1 , D LCO is an important prognostic factor. In a study of smokers who did not show an obstruction pattern in PFT, a low D LCO group showed quickly decreased pulmonary function and COPD progression [12] . Studies have shown that D LCO is a more accurate prognostic factor than FEV 1 when assessing postoperative risk [13, 14] . In addition, D LCO is known to accurately represent the actual emphysema level and performance status [15, 16] . These results suggest that D LCO can be a good predictor of early pulmonary dysfunction and prognosis.

If we know the prognosis of the patient early, we can focus on high-risk patients and improve the prognosis. The prognostic factors that can be used in the clinic are laboratory findings, scoring systems such as CAT or mMRC, and baseline spirometry [17, 18] . In some studies, high-C-reactive protein, eosinopenia, and thrombocytopenia are associated with poor outcomes in AECOPD [19] [20] [21] . Although various scoring systemssuch as St. George's Respiratory Questionnaire, mMRC, and CAT, are useful-patients with severe symptoms may not be graded or might have similar scores, making them difficult to use. Instead, we focused on baseline spirometry and confirmed that D LCO is more accurate in evaluating the prognosis of hospitalized patients than FEV 1 . If a grading system that considers both D LCO and FEV 1 is developed, the prognosis can be predicted more accurately.

Our study was limited because it was a retrospective single-center study. We were unable to analyze including important prognostic factors such as frequent exacerbations, obstructive sleep apnea, and body mass index. As this study is a retrospective study, data on these factors were not available or inaccurate. To compensate for this, we carefully analyzed the charts by two experienced pulmonologists. Also, we included as many factors as possible in baseline characteristics and multivariate analysis. In addition, the treatment received during the hospitalization period and the prognosis after discharge were not evaluated. Large prospective clinical studies that include information on treatment during hospitalization and post discharge may be required. 

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This study was supported by a Korea University Guro Hospital Grant (O1801541)

D LCO was likely to be as good as or better as a prognostic marker than FEV 1 in severe AECOPD. Accurate classification using D LCO may help to treat severe ACEOPD patients.Abbreviations COPD: Chronic obstructive pulmonary disease; AECOPD: Acute exacerbation of chronic obstructive pulmonary disease; D LCO : Diffusing capacity of the lung for carbon monoxide; FEV 1 : Forced expiratory volume in one second.Author's contributions JC performed data collection, interpretation and was major contributor in writing the manuscript. JKS, JYO, and YSL performed data collection and interpretation. GYH, SYL, and JJS performed data analysis and interpretation. CKR and KHM designed and supervised study. All authors have read and approved the final manuscript.

Not applicable.

The datasets used and/or analysed during the current study available from the corresponding author on reasonable request.

This study was conducted in accordance with the 'Declaration of Helsinki' as a statement of ethical principles for medical research involving human subjects, including the study of identifiable human substances and data. This study was approved by the Institutional Review Board of Korea University Guro Hospital (KUGH16131-002) for all research-related matters prior to the start of the study and was conducted in compliance with the relevant research regulations throughout the study. This study is a study through retrospective data analysis, and since there is no reason to estimate the subject's refusal to consent and the risk to the subject is low even without consent, it was approved as a 'signature consent waiver study' by the institutional review committee. In the course of the research, all personally identifiable data were anonymized to further minimize the impact on the research subject.

Not applicable.

There is no competing interest. All authors declare they have no competing interest.Received: 26 January 2021 Accepted: 28 April 2021