Evidence map›Paper›PMID 40094401›Full record

Observational studyEmerging microbes & infections2025

Monocyte distribution width (MDW) as a reliable diagnostic biomarker for sepsis in patients with HIV.

Jinfeng Sun, Yueming Shao, Rui Jiang, Tangkai Qi, Jingna Xun, Yinzhong Shen, Renfang Zhang, Liu Qian, Xialin Wang, Li Liu and 10 more

Abstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Emerging microbes & infections, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. 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

20 authors.

Jinfeng SunDepartment of Infection and Immunology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China.
Yueming ShaoDepartment of Infection and Immunology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China.
Rui JiangDepartment of Infection and Immunology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China.
Tangkai QiDepartment of Infection and Immunology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China.
Jingna XunDepartment of Infection and Immunology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China.
Yinzhong ShenDepartment of Infection and Immunology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China.
Renfang ZhangDepartment of Infection and Immunology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China.
Liu QianMedical Affairs Department, Beckman-Coulter, Danaher Corporation (China), Shanghai, People's Republic of China.
Xialin WangMarketing Department, Beckman-Coulter, Danaher Corporation (China), Shanghai, People's Republic of China.
Li LiuDepartment of Infection and Immunology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China.
Zhenyan WangDepartment of Infection and Immunology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China.
Jianjun SunDepartment of Infection and Immunology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China.
Yang TangDepartment of Infection and Immunology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China.
Wei SongDepartment of Infection and Immunology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China.
Shuibao XuDepartment of Infection and Immunology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China.
Junyang YangDepartment of Infection and Immunology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China.
Youming ChenDepartment of Infection and Immunology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China.
Yi-Wei TangMedical Affairs Department, Danaher Corporation/Cepheid, New York, USA.
Hongzhou LuDepartment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, People's Republic of China.
Jun ChenDepartment of Infection and Immunology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China.ORCID 0000-0002-3850-4875

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis is a leading cause of death among patients with HIV, but early diagnosis remains a challenge. This study evaluates the diagnostic performance of monocyte distribution width (MDW) in detecting sepsis in patients with HIV. A prospective observational study was conducted at Shanghai Public Health Center, involving 488 hospitalized patients with HIV aged 18-65 between December 2022 and August 2023. MDW was measured at admission, and its diagnostic accuracy was compared with Sepsis-3 criteria. Survival rates on day 28 and 90 were also recorded. Additionally, five machine learning (ML) models were tested to enhance diagnostic efficacy. Of 488 subjects, 90 were in the sepsis group and 398 in the control group. MDW showed a diagnostic area under the curve (AUC) of 0.82, comparable to C-reactive protein (CRP) and Procalcitonin (PCT) with AUCs of 0.78 and 0.82, respectively. With a cut-off value of 25.25, MDW had a sensitivity of 0.83 and specificity of 0.76. The positive and negative predictive values were 44% and 95%, respectively. When MDW was combined with platelet count, serum albumin, and hemoglobin in a random forest model, the AUC improved to 0.931. The model achieved a sensitivity of 1.00 and specificity of 0.732. MDW is a useful diagnostic marker for sepsis in patients with HIV, with strong sensitivity and specificity. Combining MDW with other lab markers can further enhance diagnostic accuracy.

Indexed as

HIV InfectionsMonocytesSepsisAdolescentAdultAgedBiomarkersFemaleHumansMachine LearningMaleMiddle AgedProcalcitoninProspective StudiesSensitivity and SpecificityYoung AdultBiomarkersProcalcitoninBiomarkershuman immunodeficiency virus (HIV)monocyte distribution width (MDW)sepsisSepsis-3

Identifiers

PMID40094401
PMCPMC11948362

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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 OpenQuestion graph.