U-Shaped Relationship Between Serum Lactate Dehydrogenase with All-Cause Mortality in Patients with Chronic Obstructive Pulmonary Disease
International Journal of Chronic Obstructive Pulmonary Disease
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ORIGINAL RESEARCH
U-Shaped Relationship Between Serum Lactate
Dehydrogenase with All-Cause Mortality in
Patients with Chronic Obstructive Pulmonary
Disease
Lihua Huang 1, *, Zhanpeng Lu
Chunsheng Zou 1
2,
*, Xiaoqing Zhou 3 , Liuliu He 1 , Xiaoyan You 1 , Chunmei Chen 1 ,
1
Department of Clinical Laboratory, The Second Affiliated Hospital of Gannan Medical University, Ganzhou, People’s Republic of China; 2Department
of Critical Care,The Eighth Affiliated Hospital of Sun Yat sen University, Shenzhen, People’s Republic of China; 3General Surgery Department, The
Second Affiliated Hospital of Gannan Medical University, Ganzhou, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Lihua Huang, Department of Clinical Laboratory, The Second Affiliated Hospital of Gannan Medical University, 331 Yingbin Dadao,
Xinfeng County, Ganzhou, Jiangxi Province, People’s Republic of China, Tel +86 18970771329, Email
Purpose: In the anaerobic metabolic pathway, lactate dehydrogenase (LDH) plays an important role in hypoxia, inflammation, and
cell damage, making it a potential biomarker for the progression of chronic obstructive pulmonary disease (COPD). We aimed to
examine the relationship between LDH levels and all-cause mortality in participants with COPD.
Patients and Methods: Data of participants in the US National Health and Nutrition Examination Surveys (NHANES) 2007–2012
aged ≥20 years who underwent spirometry tests were examined, and follow-up mortality data were obtained. According to serum LDH
levels, participants with COPD were divided into five groups (59–111, 112–123, 124–135, 136–150, and 151–344 U/L). To evaluate
whether LDH levels were independently associated with COPD mortality, we used multivariate Cox regression analysis and smooth
curve fitting.
Results: We included 1320 subjects, 64 with stage III or IV COPD and 541 with stage II COPD. Over a median follow-up of 9.7 years
(IQR: 7.8, 11.2), 252 of the 1320 subjects died. The mean LDH level was 132.5 U/L (standard deviation [SD], 27.0). A U-shaped
relationship was observed between LDH levels and all-cause mortality. Below and above the inflection point, which was approxi
mately 110 U/L, we found different slopes for the correlation between LDH and all-cause mortality of patients with COPD. Below the
threshold, per 1-standard deviation (1SD) increase in LDH resulted in a 68% reduced risk of all-cause mortality (hazard ratio [HR]
0.32, 95% confidence interval [CI] 0.13–0.81, P=0.016); conversely, above the threshold, per 1SD increase in LDH accelerated the risk
of all-cause mortality (HR 1.23, 95% CI: 1.08–1.41, P= 0.002).
Conclusion: Using the nationally representative NHANES data, we found a U-shaped association between LDH level and all-cause
mortality in participants with COPD. An optimal LDH level of approximately 110 U/L was associated with the lowest risk of all-cause
mortality.
Keywords: lactate dehydrogenase, pulmonary disease, chronic obstructive, nutrition surveys, nonlinear, threshold
Introduction
Chronic obstructive pulmonary disease (COPD) is a common, preventable, and treatable disease characterized by
persistent respiratory symptoms and progressive airflow obstruction.1 In 2018, COPD was the fourth most common
cause of death in the United States.2 COPD was diagnosed in nearly 15.7 million Americans (6.4%).3 In more than half
of COPD cases, adults were unaware of their condition.4 Age-adjusted mortality rates for COPD in the United States
decreased among men between 1999 and 2014 but remained stable among women during the same period.5 The
International Journal of Chronic Obstructive Pulmonary Disease 2023:18 305–316
Received: 20 August 2022
Accepted: 4 March 2023
Published: 15 March 2023
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Huang et al
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prediction of mortality is important since it allows the identification of patients whose outcomes can be improved by
implementing specific therapeutic measures.
As a marker of tissue injury, necrosis, and hypoxia, lactate dehydrogenase (LDH) has an essential value in the
diagnosis, treatment, and prognosis of cancer.6 Furthermore, patients with COPD have increased LDH levels. These
levels indicate underlying lung damage and inflammation and show the usefulness of LDH and its isoenzymes as
indicators of lung damage or inflammation.7 However, the relationship between LDH and all-cause mortality in patients
with COPD has scarcely been studied. The primary aim of this study was to assess the association between LDH levels
and all-cause mortality.
Materials and Methods
Data Source and Study Design
The National Health and Nutrition Examination Survey (NHANES) is a major program of the National Center for
Health Statistics (NCHS), an agency of the Centers for Disease Control and Prevention (CDC). This national survey is
being conducted to assess the health of the entire United States (US) population. To generate population-level
estimates, data is collected annually on a two-year cycle using a multistage probabilistic sampling design. Based on
a design variable, we approximated the number of civilians (not institutionalized) using the data from the NHANES
from 2007 to 2012. Demographic data, spirometry test results, disease information, and laboratory and questionnaire
data related to disease definitions were also extracted and combined. We enrolled patients aged ≥ 20 years who
completed spirometry and had their serum LDH levels measured (Figure 1). Data from this study are freely available
on the NHANES homepage (http://www.cdc.gov/nchs/nhanes.htm) which has been approved by the NCHS Institutional
Figure 1 Study flowchart.
Abbreviations: NHANES, National Survey of the National Center for Health Statistics; FVC, forced vital capacity; FEV1, forced expiratory volume in the first 1 second;
LDH, serum lactate dehydrogenase; BMI, body mass index; CVD, cardiovascular diseases; MCV, mean corpuscular volume; FEV1% predicted, forced expiratory volume in
1 second percent of predicted.
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