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White blood cell and platelet distribution widths are associated with hypertension: data mining approaches

Hypertension Research volume 47, pages 515–528 (2024)Cite this article

A Comment to this article was published on 24 November 2023

Abstract

In this paper, we are going to investigate the association between Hypertension (HTN) and routine hematologic indices in a cohort of Iranian adults. The data were obtained from a total population of 9704 who were aged 35–65 years, a prospective study was designed. The association between hematologic factors and HTN was assessed using logistic regression (LR) analysis and a decision tree (DT) algorithm. A total of 9704 complete datasets were analyzed in this cohort study (N = 3070 with HTN [female 62.47% and male 37.52%], N = 6634 without HTN [female 58.90% and male 41.09%]). Several variables were significantly different between the two groups, including age, smoking status, BMI, diabetes millitus, high sensitivity C-reactive protein (hs-CRP), uric acid, FBS, total cholesterol, HGB, LYM, WBC, PDW, RDW, RBC, sex, PLT, MCV, SBP, DBP, BUN, and HCT (P < 0.05). For unit odds ratio (OR) interpretation, females are more likely to have HTN (OR = 1.837, 95% CI = (1.620, 2.081)). Among the analyzed variables, age and WBC had the most significant associations with HTN OR = 1.087, 95% CI = (1.081, 1.094) and OR = 1.096, 95% CI = (1.061, 1.133), respectively (P-value < 0.05). In the DT model, age, followed by WBC, sex, and PDW, has the most significant impact on the HTN risk. Ninety-eight percent of patients had HTN in the subgroup with older age (≥58), high PDW (≥17.3), and low RDW (<46). Finally, we found that elevated WBC and PDW are the most associated factor with the severity of HTN in the Mashhad general population as well as female gender and older age.

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Fig. 1
Fig. 2
Fig. 3: ROC curve of LR and DT models.

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Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

We gratefully acknowledge the contributions of the data collection team and the individuals who participated in this study.

Author information

Author notes

  1. These authors contributed equally: Amin Mansoori, Narjes Sadat Farizani Gohari, Leila Etemad

Authors and Affiliations

  1. International UNESCO center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran

    Amin Mansoori, Leila Etemad, Rana Kolahi Ahari & Majid Ghayour Mobarhan

  2. Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran

    Amin Mansoori & Habibollah Esmaily

  3. Department of Applied Mathematics, Ferdowsi University of Mashhad, Mashhad, Iran

    Amin Mansoori

  4. School of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

    Narjes Sadat Farizani Gohari

  5. Student of Research Committee, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran

    Mohadeseh Poudineh

  6. School of Medicine, Guilan University of Medical Sciences, Rasht, Iran

    Fatemeh Mohammadyari

  7. Student of Research Committee, Kurdistan University of Medical Sciences, Sanandaj, Iran

    Mobin Azami

  8. Student Research Committee, School of Medicine, Birjand University of Medical sciences, Birjand, Iran

    Elias Sadooghi Rad

  9. Brighton and Sussex Medical School, Division of Medical Education, Brighton, United Kingdom

    Gordon Ferns

  10. Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran

    Habibollah Esmaily

Authors
  1. Amin Mansoori
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  2. Narjes Sadat Farizani Gohari
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  3. Leila Etemad
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  4. Mohadeseh Poudineh
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  5. Rana Kolahi Ahari
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  6. Fatemeh Mohammadyari
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  7. Mobin Azami
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  8. Elias Sadooghi Rad
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  9. Gordon Ferns
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  10. Habibollah Esmaily
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  11. Majid Ghayour Mobarhan
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Contributions

AM: conception, data analyzing. NSFG: conception, drafting the article. LE: revising the article. MP: drafting the article. RKA: drafting the article. FM: drafting the article. MA: revising the article. ESR: drafting the article. GF: revising the article. HE: corresponding author. MG-M: corresponding author.

Corresponding authors

Correspondence to Habibollah Esmaily or Majid Ghayour Mobarhan.

Ethics declarations

Ethics approval and consent to participate

The study protocol was reviewed and all methods are approved by the Ethics Committee of MUMS with approval number IR.MUMS.REC.1386.250. All methods were carried out in accordance with relevant guidelines and regulations. All the participants consented to take part in the study by signing written informed consent. Informed consent was obtained from all subjects using protocols approved by the Ethics Committee of the Mashhad University of Medical Science (MUMS), approval number IR.MUMS.REC.1386.250. All experiments were performed in accordance with relevant guidelines and regulations.

Consent to publication

It is not applicable to the Consent of Image Publication for this manuscript. The figures were designed only in this manuscript for presenting the results of the current paper.

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The authors declare no competing interests.

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Mansoori, A., Farizani Gohari, N.S., Etemad, L. et al. White blood cell and platelet distribution widths are associated with hypertension: data mining approaches. Hypertens Res 47, 515–528 (2024). https://doi.org/10.1038/s41440-023-01472-y

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  • DOI: https://doi.org/10.1038/s41440-023-01472-y

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