Evidence mapPaperPMID 38429714Full record

ArticleLipids in health and disease2024

Association between biomarkers of inflammation and dyslipidemia in drug resistant tuberculosis in Uganda.

Joseph Baruch Baluku, Robinah Nalwanga, Andrew Kazibwe, Ronald Olum, Edwin Nuwagira, Nathan Mugenyi, Frank Mulindwa, Felix Bongomin

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Lipids in health and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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

8 authors at 6 institutions in 2 countries.

Joseph Baruch BalukuKiruddu National Referral Hospital, Kampala, Uganda.
Robinah NalwangaMRC/UVRI Research Unit, Kampala, Uganda.
Andrew KazibweThe AIDS Support Organisation, Kampala, Uganda.
Ronald OlumSchool of Public Health, Makerere University College of Health Sciences, Kampala, Uganda.
Edwin NuwagiraFaculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda.
Nathan MugenyiFaculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda.
Frank MulindwaUnited Health Services, Wilson Hospital, NY, USA.
Felix BongominDepartment of Medical Microbiology and Immunology, Faculty of Medicine, Gulu University, Gulu, Uganda.
Mbarara University of Science and Technology · UGGulu University · UGMakerere University · UGThe AIDS Support Organization · UGUganda Virus Research Institute · UGUnited Health Services · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundActive tuberculosis (TB) significantly increases the risk of cardiovascular disease, but the underlying mechanisms remain unclear. This study aimed to investigate the association between inflammation biomarkers and dyslipidemia in patients with drug-resistant TB (DR-TB).

methodsThis was a secondary analysis of data from a cross-sectional multi-center study in Uganda conducted 2021. Participants underwent anthropometric measurements and laboratory tests included a lipid profile, full haemogram and serology for HIV infection. Dyslipidemia was defined as total cholesterol > 5.0 mmol/l and/or low-density lipoprotein cholesterol > 4.14 mmol/l, and/or triglycerides (TG) ≥ 1.7 mmol/l, and/or high density lipoprotein cholesterol (HDL-c) < 1.03 mmol/l for men and < 1.29 mmol/l for women. Biomarkers of inflammation were leukocyte, neutrophil, lymphocyte, monocyte, and platelet counts, as well as neutrophil/lymphocyte (NLR), platelet/lymphocyte, and lymphocyte/monocyte (LMR) ratios, mean corpuscular volume (MCV), and the systemic immune inflammation index (SII) (neutrophil × platelet/lymphocyte). Modified Poisson Regression analysis was used for determining the association of the biomarkers and dyslipidemia.

resultsOf 171 participants, 118 (69.0%) were co-infected with HIV. The prevalence of dyslipidemia was 70.2% (120/171) with low HDL-c (40.4%, 69/171) and hypertriglyceridemia (22.5%, 38/169) being the most common components. Patients with dyslipidemia had significantly higher lymphocyte (P = 0.008), monocyte (P < 0.001), and platelet counts (P = 0.014) in addition to a lower MCV (P < 0.001) than those without dyslipidemia. Further, patients with dyslipidemia had lower leucocyte (P < 0.001) and neutrophil (P = 0.001) counts, NLR (P = 0.008), LMR (P = 0.006), and SII (P = 0.049). The MCV was inversely associated with low HDL-C (adjusted prevalence ratio (aPR) = 0.97, 95% CI 0.94-0.99, P = 0.023) but was positively associated with hypertriglyceridemia (aPR = 1.04, 95% CI 1.00-1.08, P = 0.052).

conclusionsIndividuals with dyslipidemia exhibited elevated lymphocyte, monocyte, and platelet counts compared to those without. However, only MCV demonstrated an independent association with specific components of dyslipidemia. There is need for further scientific inquiry into the potential impact of dyslipidemia on red cell morphology and a pro-thrombotic state among patients with TB.

Indexed as

DyslipidemiasHIV InfectionsHypertriglyceridemiaTuberculosis, Multidrug-ResistantBiomarkersCholesterol, HDLCross-Sectional StudiesFemaleHumansInflammationMaleUgandaBiomarkersCholesterol, HDLCholesterolDyslipidemiaHDLHIVInflammationLymphocyteMean corpuscular volumeMonocytesPlateletTuberculosis

Identifiers

PMID38429714
PMCPMC10905847
OpenAlexW4392360070

What Socratic holds

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Registered trials

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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 Socratic graph.