ArticleToxicology reports2023
Relationship between serum lactate dehydrogenase levels and prognosis in patients infected with omicron and delta variants of COVID-19: A cross-sectional study.
Article in Toxicology reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Inflammatory and Endothelial Dysfunction Biomarkers Predict Severe COVID-19 in Hospitalized Patients: Development of the CCBR Model.Biomedicines · 2026Article
- Analysis of six consecutive waves of ICU-admitted COVID-19 patients: key findings and insights from a Portuguese population.GeroScience · 2025Article
- Epidemiology, clinical spectrum, and outcomes of severe malaria in Eastern Uganda: a prospective study.Malaria journal · 2025Article
- Lactate Levels and Clearance: Key Predictors of Prognosis for COVID-19 and Non-COVID-19 Septic Shock Patients in the Emergency Department.Clinics and practice · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Determining the prognosis of COVID-19 is crucial for understanding disease trends and developing effective treatment strategies, particularly for severe cases. However, there is currently insufficient evidence regarding the role of lactate dehydrogenase (LDH) in COVID-19 and its prognostic implications. This retrospective cross-sectional study analyzed data from all patients hospitalized at Urmia Imam Khomeini Hospital between September 2021 and March 2023 with a diagnosis of COVID-19 involving the Delta and Omicron variants. Patient information, including age, sex, duration of hospitalization, admission to the intensive care unit (ICU), strain type, and outcomes, was extracted. Exclusion criteria encompassed myocardial infarction, lung, liver, blood, skeletal muscle diseases, injury, neoplasm, pancreatitis, pregnancy, poisoning, unwillingness to participate in the study, and the use of ascorbic acid. A total of 609 patients with an average age of 54.80 years were included in this study. Among these patients, 56.3% were female, and the mortality rate was 20.7%. The serum LDH levels were significantly higher in patients who succumbed to the disease (P < 0.001), those requiring ICU admission (P < 0.001), and female patients (P = 0.02) compared to other groups. Furthermore, the LDH serum levels exhibited a strong significant correlation with the duration of hospitalization (r = -0.11, P = 0.007). The results revealed that there is a difference in the mean serum LDH levels between deceased patients and discharged patients (P < 0.001). The findings indicate that elevated serum LDH levels are associated with increased mortality, prolonged hospitalization, ICU admission, and infection with the Delta variant of COVID-19.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.