Hemoglobin concentration is associated with the incidence of metabolic syndrome

He, Sunyue; Gu, Huijie; Yang, Jie; Su, Qing; Li, Xiaoyong; Qin, Li

doi:10.1186/s12902-021-00719-4

Cited by 26 publications

(24 citation statements)

References 42 publications

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“… 16 A nationwide population-based cohort study revealed that high Hb level was associated with increased OR for metabolic syndrome. 17 We also obtained positive correlation coefficients between BMI and all examined haematological indices with p<0.001 (data not shown). Given that a prediction model proposed an increasing trend in obesity in Korean adults, estimating 62% of men would have obesity by 2030, 18 a careful interpretation of laboratory tests by BMI might be necessary.…”

Section: Discussionmentioning

confidence: 67%

“…Waist circumference was positively correlated with Hb, Hct, RBC, WCC and PLT 16. A nationwide population-based cohort study revealed that high Hb level was associated with increased OR for metabolic syndrome 17. We also obtained positive correlation coefficients between BMI and all examined haematological indices with p<0.001 (data not shown).…”

Section: Discussionmentioning

confidence: 71%

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Parametric and non-parametric estimation of reference intervals for routine laboratory tests: an analysis of health check-up data for 260 889 young men in the South Korean military

2022

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ObjectivesDetermination of reference intervals (RIs) using big data faces several obstacles due to heterogeneity in analysers, period and ethnicity. The present study aimed to establish the RIs for routine common blood count (CBC) and biochemistry laboratory tests in homogeneous, healthy, male Korean soldiers in their 20s using a large health check-up data set, comparing parametric and non-parametric estimation.DesignA multicentre, cross-sectional study.SettingSeven armed forces hospitals in South Korea.ParticipantsA total of 609 649 men underwent health examination when promoted to corporal between January 2015 and September 2021. 260 889 eligible individuals aged 20–25 were included in the analysis.Main outcomes and measuresThe RIs were established by parametric and non-parametric methods. In the parametric approach, maximum likelihood estimation was applied to measure the Box-Cox transformation parameter and the values at the 2.5th and 97.5th percentiles were recalculated. The non-parametric approach adopted the Tukey’s exclusion test and the values at the 2.5th and 97.5th percentiles were obtained. Classification by body mass index was also performed.ResultsThe obtained RIs for haematology parameters were comparable between devices. If the values followed a Gaussian distribution, parametric and non-parametric methods were well matched for haematology and biochemical markers. When the values were right-skewed, the upper limits were higher with parametric than with non-parametric methods. Participants with obesity showed higher RIs for CBC, some liver function tests and some lipid profiles than participants without obesity.ConclusionsUsing data from healthy, male Korean soldiers in their 20s, we proposed the RIs for CBC and biochemical parameters, comparing parametric and non-parametric estimation. As such approaches based on large data sets become more prevalent, further studies are needed to discriminate eligible individuals and determine RIs in an extrapolated sample.

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Section: Discussionmentioning

confidence: 67%

Section: Discussionmentioning

confidence: 71%

Parametric and non-parametric estimation of reference intervals for routine laboratory tests: an analysis of health check-up data for 260 889 young men in the South Korean military

2022

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“…Because decreased hemoglobin levels can be a risk for severe respiratory failure of COVID-19 patients [28] and hemoglobin concentration is associated with the incidence of metabolic syndrome [29] , we next evaluate the erythrogram of all studied individuals, and non-T2DM and non-obese patients. We observed a drop in hemoglobin ( Fig.…”

Section: Resultsmentioning

confidence: 99%

“…Likewise, the NLR has been associated with systemic inflammation [12] and it is significantly increased in prediabetic and diabetic patients [13] . Hemoglobin concentration is another predictor for metabolic syndrome [14] , [15] , which includes dyslipidemia, T2DM, and obesity.…”

Section: Introductionmentioning

confidence: 99%

COVID-19 induces proatherogenic alterations in moderate to severe non-comorbid patients: A single-center observational study

Kimura

Sant’Anna

Andrade

et al. 2021

Blood Cells, Molecules, and Diseases

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Patients with COVID-19 can be asymptomatic or present mild to severe symptoms, leading to respiratory and cardiovascular complications and death. Type 2 diabetes mellitus (T2DM) and obesity are considered risk factors for COVID-19 poor prognosis. In parallel, COVID-19 severe patients exhibit dyslipidemia and alterations in neutrophil to lymphocyte ratio (NLR) associated with disease severity and mortality. To investigate whether such alterations are caused by the infection or results from preexisting comorbidities, this work analyzed dyslipidemia and the hemogram profile of COVID-19 patients according to the severity and compared with patients without T2DM or obesity comorbidities. Dyslipidemia, with a marked decrease in HDL levels, and increased NLR accompanied the disease severity, even in non-T2DM and non-obese patients, indicating that COVID-19 causes the observed alterations. Because decreased hemoglobin is involved in COVID-19 severity, and hemoglobin concentration is associated with metabolic diseases, the erythrogram of patients was also evaluated. We verified a drop in hemoglobin and erythrocyte number in severe patients, independently of T2DM and obesity, which may explain in part the need for artificial ventilation in severe cases. Thus, the control of such parameters (especially HDL levels, NLR, and hemoglobin concentration) could be a good strategy to prevent COVID-19 complications and death.

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“…Hemoglobin is a special protein that transports oxygen in red blood cells. Previous studies have revealed that an elevated hemoglobin level increases the risk of nonalcoholic fatty liver disease and metabolic syndrome, which are associated with colorectal polyps (26,27). Shen et al conducted a cross-sectional study to explore the relationship between hemoglobin levels and colorectal polyps, and they found that elevated hemoglobin levels were significantly and independently associated with the prevalence and risk of colorectal polyps in asymptomatic adults (28).…”

Section: Discussionmentioning

confidence: 99%

The predictive value of routine laboratory tests for colorectal polyps: a retrospective study

Feng¹,

Jiao²,

Xu³

et al. 2022

J Gastrointest Oncol

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Background: Colorectal cancer (CRC) has become the malignant tumor of the digestive tract with the highest incidence in our country, posing a serious threat to the health of our people. Early colon cancer is mostly due to the malignant transformation of colon polyps, so that early detection and resection have been shown to be effective in reducing the incidence and mortality of CRC. This study tried to investigate the related risk factors of and construct a predictive nomogram for colorectal polyps, providing meaningful guidance basis for risk stratification and screening.Methods: A total of 1,799 patients who underwent colonoscopies in the Health Management Centre of the Affiliated Hospital of Yangzhou University were recruited to this study. Univariate and multivariate logistic analyses were performed to determine the risk factors for colorectal polyps, and a predictive nomogram was constructed based on the multivariable model. We determined the predictive value of the nomogram by receiver operating characteristic (ROC) curve, calibration curve, and decision curve analyses (DCAs). Results:The logistic regression analysis showed that age (P<0.001), gender (P<0.001), eosinophil count (P=0.005), hemoglobin level (P =0.039), and LDL-C/HDL-C ratio (LHR; P<0.001) were independent predictors of the development of colorectal polyps. The above independent risk factors were incorporated, and an individualized nomogram model was successfully established. The C-index of the nomogram was 0.679 in our model, and with the bootstrap method, the prediction curve fit well with the ideal curve, suggesting that the prediction curve constructed in this study has good predictive ability.Conclusions: Age, gender, eosinophil count, hemoglobin level, and LHR are risk factors for the development of colorectal polyps. Establishing a nomogram prediction model for colorectal polyps is helpful for the early clinical screening of high-risk patients with colorectal polyps, improving the detection rate of polyps and reducing the incidence of colorectal cancer (CRC).

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Hemoglobin concentration is associated with the incidence of metabolic syndrome

Cited by 26 publications

References 42 publications

Parametric and non-parametric estimation of reference intervals for routine laboratory tests: an analysis of health check-up data for 260 889 young men in the South Korean military

Parametric and non-parametric estimation of reference intervals for routine laboratory tests: an analysis of health check-up data for 260 889 young men in the South Korean military

COVID-19 induces proatherogenic alterations in moderate to severe non-comorbid patients: A single-center observational study

The predictive value of routine laboratory tests for colorectal polyps: a retrospective study

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