Evaluation of Hemoglobin Concentration in Pregnancy and Correlation with Different Altitude: A Study from Balochistan Plateau of Pakistan

Umar, Zubaida; Rasool, Mahmood; Asif, Muhammad; Karim, Sajjad; Malik, Arif; Mushtaq, Gohar; Kamal, Mohammad Amjad; Mansoor, Arsala

doi:10.2174/1874091x01509010007

Cited by 8 publications

(4 citation statements)

References 24 publications

(30 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Because PV changes are not considered in the [Hb] thresholds established by the WHO to diagnose anemia, this diagnostic model presents substantial limitations (16,17). Numerous studies have soundly measured reference hematological values, including [Hb], in populations with high anemia prevalence according to the WHO website, notably in women of reproductive age and young children (< 5 years old) (39)(40)(41)(42)(43)(44)(45)(46). Such countries are described with a severe anemia prevalence by the WHO with values going from 40% to 69% in either populations (12,47).…”

Section: Discussionmentioning

confidence: 99%

Prediction of plasma volume and total hemoglobin mass with machine learning

Basile

Krumm

Saugy

et al. 2023

Preprint

View full text Add to dashboard Cite

Anemia is a widespread disease commonly diagnosed through hemoglobin concentration ([Hb]) thresholds set by the World Health Organization (WHO). However, [Hb] is subject to significant variations mainly due to shifts in plasma volume (PV) which impair the diagnosis of anemia and other medical conditions. The aim of this study was to develop a model able to accurately predict total hemoglobin mass (Hbmass) and PV based on anthropometric and complete blood count (CBC) analyses. 769 CBC coupled to measures of Hbmass and PV using the CO-rebreathing method were used with a machine learning tool in a numeric computing platform (MATLAB regression learner app) to calculate the model. For the predicted values, root mean square error (RMSE) was of 37.9 g and 50.0 g for Hbmass, and 194 ml and 268 ml for PV, in women and men, respectively. Measured and predicted data were significantly correlated (p<0.001) with the coefficient of determination (R2) ranging from 0.73 to 0.81 for Hbmass, and PV, in both women and men. The bland-altman bias between estimated and measured variables was in average of -0.69 for Hbmass and 0.73 for PV. This study proposes a valid model with a high prediction potential for Hbmass and PV, providing relevant complementary data in numerous contexts. This method can notably bring information applicable to the epidemiology of anemia, particularly in countries with high prevalence or in specific population such as high-altitude communities.

show abstract

Section: Discussionmentioning

confidence: 99%

Prediction of plasma volume and total hemoglobin mass with machine learning

Basile

Krumm

Saugy

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Because PV changes are not considered in the [Hb] thresholds established by the WHO to diagnose anemia, this diagnostic model presents substantial limitations (Berkow, 2013; Karakochuk et al, 2019). Numerous studies have soundly measured reference hematological values, including [Hb], in populations with high anemia prevalence (Béavogui et al, 2020; Buchanan et al, 2010; Dapper et al, 2009; Fondoh et al, 2020; Humberg et al, 2011; Kone et al, 2017; Schmidt et al, 2018; Umar et al, 2015;WHO, 2023a; WHO, 2023b). The data provided by these studies, despite being crucial regarding anemia epidemiology, can possibly lead to over‐ or underestimation of total prevalence due to PV fluctuations.…”

Section: Discussionmentioning

confidence: 99%

Prediction of plasma volume and total hemoglobin mass with machine learning

Moreillon,

Krumm,

Saugy

et al. 2023

Physiological Reports

View full text Add to dashboard Cite

Hemoglobin concentration ([Hb]) is used for the clinical diagnosis of anemia, and in sports as a marker of blood doping. [Hb] is however subject to significant variations mainly due to shifts in plasma volume (PV). This study proposes a newly developed model able to accurately predict total hemoglobin mass (Hbmass) and PV from a single complete blood count (CBC) and anthropometric variables in healthy subject. Seven hundred and sixty‐nine CBC coupled to measures of Hbmass and PV using a CO‐rebreathing method were used with a machine learning tool to calculate an estimation model. The predictive model resulted in a root mean square error of 33.2 g and 35.6 g for Hbmass, and 179 mL and 244 mL for PV, in women and men, respectively. Measured and predicted data were significantly correlated (p < 0.001) with a coefficient of determination (R2) ranging from 0.76 to 0.90 for Hbmass and PV, in both women and men. The Bland–Altman bias was on average 0.23 for Hbmass and 4.15 for PV. We herewith present a model with a robust prediction potential for Hbmass and PV. Such model would be relevant in providing complementary data in contexts such as the epidemiology of anemia or the individual monitoring of [Hb] in anti‐doping.

show abstract

“… 47 We used the adjustment factor for altitude correction in order to obtain the comparison of both groups. 48 …”

Section: Methodsmentioning

confidence: 99%

“…47 We used the adjustment factor for altitude correction in order to obtain the comparison of both groups. 48 Women nutritional status was assessed using mid upper arm circumference (MUAC) and measured using a flexible non stretchable standard tape measured at the mid-point between the tips of the ulna. Measurements were taken on the right arm with an accuracy of 0.1 cm.…”

Section: Measurement Hemoglobin Levelmentioning

confidence: 99%

The Effect of Fresh Moringa Leaf Consumption During Pregnancy on Maternal Hemoglobin Level in Southern Ethiopia: Multilevel Analysis of a Comparative Cross-Sectional Study

Derbo,

Debelew

2023

IJWH

View full text Add to dashboard Cite

Purpose Anemia, especially iron-deficiency anemia during pregnancy, significantly impacts maternal health, fetal growth, and development. Moringa leaf is an iron-rich food that can overcome anemia, but there is a lack of evidence on the association between fresh moringa leaf consumption and maternal hemoglobin level during pregnancy. The aim of this study is to test the effect of fresh moringa leaf consumption during pregnancy on maternal hemoglobin levels in southern Ethiopia. Methods A community-based comparative cross-sectional study was conducted from May to June 2022 among 230 fresh moringa leaf consumers and 230 non-consumers pregnant women. Data were collected using an interviewer-administered structured questionnaire and hemoglobin level was determined by HemoCue Hb 301. Multivariate multilevel linear regression models were fitted using Statistical Software for Data Science (STATA) version 14. Results The overall mean hemoglobin level among pregnant women was 11.76 g/dl ± 1.47 [12.06 g/dl ± 1.22 among fresh moringa leaf consumers and 11.45 g/dl ± 1.64 among non-consumers] with a significant coefficient of association (β) of 0.90 g/dl [β = 0.90 g/dl, 95% CI: 0.54, 1.27]. A number of under-five children, bleeding during the current pregnancy, male-headed household, and current antenatal care visit were the individual-level factors. Distance from the nearest health facility and urban dweller was identified as the community-level factor associated with maternal hemoglobin level during pregnancy. Conclusion This study showed that the consumption of fresh moringa leaf during pregnancy increases the level of hemoglobin. So policymakers and maternal and child health program managers need to target moringa tree scale-up and encourage fresh moringa leaf consumption during pregnancy, but its use needs additional rigorous clinical trials. In addition to this, mark the above factors in their efforts to increase maternal hemoglobin levels during pregnancy.

show abstract

Evaluation of Hemoglobin Concentration in Pregnancy and Correlation with Different Altitude: A Study from Balochistan Plateau of Pakistan

Cited by 8 publications

References 24 publications

Prediction of plasma volume and total hemoglobin mass with machine learning

Prediction of plasma volume and total hemoglobin mass with machine learning

Prediction of plasma volume and total hemoglobin mass with machine learning

The Effect of Fresh Moringa Leaf Consumption During Pregnancy on Maternal Hemoglobin Level in Southern Ethiopia: Multilevel Analysis of a Comparative Cross-Sectional Study

Contact Info

Product

Resources

About