Evidence map›Paper›PMID 36945707›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2023

U-Shaped Relationship Between Serum Lactate Dehydrogenase with All-Cause Mortality in Patients with Chronic Obstructive Pulmonary Disease.

Lihua Huang, Zhanpeng Lu, Xiaoqing Zhou, Liuliu He, Xiaoyan You, Chunmei Chen, Chunsheng Zou

Open access · goldAbstract read
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 9 citations in OpenAlex.

  1. Antioxidants (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. U-Shaped Relationship Between Serum Lactate Dehydrogenase With Diabetic Lower Extremity Ulcers Among Diabetic Patients Aged ≥ 40 Years in NHANES.Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Lihua Huang *Department of Clinical Laboratory, The Second Affiliated Hospital of Gannan Medical University, Ganzhou, People's Republic of China.
Zhanpeng Lu *Department of Critical Care,The Eighth Affiliated Hospital of Sun Yat sen University, Shenzhen, People's Republic of China.ORCID 0000-0002-5194-7953
Xiaoqing ZhouGeneral Surgery Department, The Second Affiliated Hospital of Gannan Medical University, Ganzhou, People's Republic of China.
Liuliu HeDepartment of Clinical Laboratory, The Second Affiliated Hospital of Gannan Medical University, Ganzhou, People's Republic of China.
Xiaoyan YouDepartment of Clinical Laboratory, The Second Affiliated Hospital of Gannan Medical University, Ganzhou, People's Republic of China.
Chunmei ChenDepartment of Clinical Laboratory, The Second Affiliated Hospital of Gannan Medical University, Ganzhou, People's Republic of China.
Chunsheng ZouDepartment of Clinical Laboratory, The Second Affiliated Hospital of Gannan Medical University, Ganzhou, People's Republic of China.
Gannan Medical University · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 approximately 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.

Indexed as

Pulmonary Disease, Chronic ObstructiveBiomarkersHumansInflammationL-Lactate DehydrogenaseNutrition SurveysBiomarkersL-Lactate Dehydrogenasechronic obstructivelactate dehydrogenasenonlinearnutrition surveyspulmonary diseasethreshold

Identifiers

PMID36945707
PMCPMC10024872
OpenAlexW4324373648

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.