Exploring the association between early childhood caries, malnutrition, and anemia by machine learning algorithm.

OBJECTIVE: The objective of this study was to determine the prevalence of early childhood caries in children with severe acute malnutrition (SAM) and also the hierarchy of association if any with malnutrition, anemia, and other risk factors with ECC using machine learning algorithms. METHODS: A hospital-based preventive and interventional study was conducted on SAM children (age = 2 to <6 years) who were admitted to the malnutrition treatment unit (MTU). An oral examination for early childhood caries status was done using the deft index. The anthropometric measurements and blood examination reports were recorded. Oral health education and preventive dental treatments were given to the admitted children. Three machine learning algorithms (Random Tree, CART, and Neural Network) were applied to assess the relationship between early childhood caries, malnutrition, anemia, and the risk factors. RESULTS: The Random Tree model showed that age was the most significant factor in predicting ECC with predictor importance of 98.75%, followed by maternal education (29.20%), hemoglobin level (16.67%), frequency of snack intake (9.17%), deft score (8.75%), consumption of snacks (7.1%), breastfeeding (6.25%), severe acute malnutrition (5.42%), frequency of sugar intake (3.75%), and religion at the minimum predictor importance of 2.08%. CONCLUSION: Anemia and malnutrition play a significant role in the prediction, hence in the causation of ECC. Pediatricians should also keep in mind that anemia and malnutrition have a negative impact on children's dental health. Hence, Pediatricians and Pediatric dentist should work together in treating this health problem.

Estimation of haemoglobin using non-invasive portable device with spectroscopic signal application.

An estimated 52% of non-pregnant women of reproductive age in India are estimated to be affected by anaemia, which is categorised as a chronic condition. In 2019-2021, the National Family Health Survey-5 (NFHS-5) which was undertaken revealed the following statistics about the prevalence of anaemia in the state of Karnataka. To estimate haemoglobin levels using non-invasive portable device among nursing students. A cross sectional study was done among students of Nursing college in central Karnataka for a period of 3 months. Total of 140 students were included in the study. EzeCheck haemoglobin estimation was done twice and was recorded in the same Google form. The frequency and percentage of variation of results between Haematology Analyzer and EzeCheck devices was presented with a range of difference such as 0, less than 1, 1.0 to 1.9, 2.0 to 2.9, 3.0 to 3.9, and 4.0 and above. The total prevalence of anaemia among nursing students was 57.8% and most of the students had moderate degree of anaemia (28.6%). Two readings of haemoglobin were taken and difference of readings were calculated and majority of the students had difference of < 0.5 gm/dl (61.4%) and only 1.4% of the students had difference of > 2 gm/dl. The mean difference of haemoglobin of two readings was 0.5 ± 0.5 gm/dl. The technology employed in this study bridges the gap between patients and anaemia diagnosis by providing screening services. The device provides the diagnosis via a non-invasive, IoT-enabled service at a low cost.

Prenatal anaemia and risk of postpartum haemorrhage: a cohort analysis of data from the Predict-PPH study.

BACKGROUND: Most previous clinical studies investigating the connection between prenatal anaemia and postpartum haemorrhage (PPH) have reported conflicting results. OBJECTIVES: We examined the association between maternal prenatal anaemia and the risk of PPH in a large cohort of healthy pregnant women in five health institutions in Lagos, Southwest Nigeria. METHODS: This was a prospective cohort analysis of data from the Predict-PPH study that was conducted between January and June 2023. The study enrolled n = 1222 healthy pregnant women giving birth in five hospitals in Lagos, Nigeria. The study outcome, WHO-defined PPH, is postpartum blood loss of at least 500 milliliters. We used a multivariable logistic regression model with a backward stepwise conditional approach to examine the association between prenatal anaemia of increasing severity and PPH while adjusting for confounding factors. RESULTS: Of the 1222 women recruited to the Predict-PPH study between January and June 2023, 1189 (97·3%) had complete outcome data. Up to 570 (46.6%) of the enrolled women had prenatal anaemia while 442 (37.2%) of those with complete follow-up data had WHO-defined PPH. After controlling for potential confounding factors, maternal prenatal anaemia was independently associated with PPH (adjusted odds ratio = 1.37, 95% confidence interval: 1.05-1.79). However, on the elimination of interaction effects of coexisting uterine fibroids and mode of delivery on this association, a sensitivity analysis yielded a lack of significant association between prenatal anaemia and PPH (adjusted odds ratio = 1.27, 95% confidence interval: 0.99-1.64). We also recorded no statistically significant difference in the median postpartum blood loss in women across the different categories of anaemia (P = 0.131). CONCLUSION: Our study revealed that prenatal anaemia was not significantly associated with PPH. These findings challenge the previously held belief of a suspected link between maternal anaemia and PPH. This unique evidence contrary to most previous studies suggests that other factors beyond prenatal anaemia may contribute more significantly to the occurrence of PPH. This highlights the importance of comprehensive assessment and consideration of various maternal health factors in predicting and preventing this life-threatening obstetric complication.

Incidence and Risk Factors for Postoperative Visual Loss after Cardiac Surgical Procedures: A Systematic Review.

ABSTRACT: Postoperative visual loss (POVL) is an infrequent yet consequential complication that can follow cardiac surgical interventions. This systematic review aims to provide a comprehensive analysis of the incidence of POVL after cardiac surgery and to delineate the associated risk factors. A comprehensive search was conducted in major medical databases for relevant studies published up to September 2022. Eligible studies reporting on the incidence of POVL and identifying risk factors in patients undergoing cardiac surgery were included. Data extraction was performed independently by two reviewers. The pooled incidence rates and the identified risk factors were synthesized qualitatively. POVL after cardiac surgery has an overall incidence of 0.015%, that is, 15 cases per 100,000 cardiac surgical procedures. Risk factors for POVL include patient characteristics (advanced age, diabetes, hypertension, and preexisting ocular conditions), procedural factors (prolonged surgery duration, cardiopulmonary bypass time, and aortic cross-clamping), anesthetic considerations (hypotension, blood pressure fluctuations, and specific techniques), and postoperative complications (stroke, hypotension, and systemic hypoperfusion). Ischemic optic neuropathy (ION) is an uncommon complication, associated with factors like prolonged cardiopulmonary bypass, low hematocrit levels, excessive body weight gain, specific medications, hypothermia, anemia, raised intraocular pressure, and micro-embolization. Diabetic patients with severe postoperative anemia are at increased risk for anterior ischemic optic neuropathy (AION). Posterior ischemic optic neuropathy (PION) can occur with factors like hypertension, postoperative edema, prolonged mechanical ventilation, micro-embolization, inflammation, hemodilution, and hypothermia.While the overall incidence of POVL postcardiac surgery remains modest, its potential impact is substantial, necessitating meticulous consideration of modifiable risk factors. Notably, prolonged surgical duration, intraoperative hypotension, anemia, and reduced hematocrit levels remain salient contributors. Vigilance is indispensable to promptly detect this infrequent yet visually debilitating phenomenon in the context of postcardiac surgical care.

Association between dietary inflammation index with anemia in Americans: a cross-sectional study with U.S. National health and nutrition examination survey.

OBJECTIVES: Dietary inflammatory index (DII) is utilized to determine the inflammatory effects of nutrients and foods on various diseases. Inflammation is a potential risk factor for anemia. We hypothesize that pro-inflammatory diets boost the incidence of anemia, as indicated by high DII. METHODS: 41, 360 Americans were included in this study from the U.S. National Health and Nutrition Survey (NHANES) from 2003-2018. Multivariable logistic regression models were employed to examine the association between DII and anemia. RESULTS: After adjustment for all the covariates, the odds ratios (ORs) (95% CI) between the risk of anemia and DII across tertile 3 were 1.2556 (95% CI 1.0621, 1.4843; P = 0.0077), and the trend test was statistically significant (P for trend = 0.009). Furthermore, in the subgroup analysis stratified by gender. The ORs (95% CI) between the risk of anemia and DII across tertile 2 and 3 were 1.8071 (95% CI 1.1754, 2.7783; P = 0.0070) and 2.1591 (95% CI 1.4009, 3.3278; P = 0.0005) in men after multivariable adjustment. However, in women, this association was only significantly different (P < 0.05) across tertile 3 in the crude model. In the subgroup analysis stratified by race, this association was significant (P < 0.05) between the risk of anemia and DII for Non-Hispanic Whites/Blacks after adjustment. DISCUSSION: Together, anemia was significantly associated with DII using logistic regression. In stratified analyses, higher DII scores were linked to an increased incidence of anemia in men, while no association was found in women after adjustment. Additionally, anemia may be associated with greater pro-inflammatory diets in Non-Hispanic Whites/Blacks. CONCLUSION: In the present study, we evaluate the potential relationship between DII and anemia using data from NHANES. This cross-sectional study confirmed the hypothesis that the higher DII was significantly associated with a higher risk of anemia in the U.S. population.

Interaction between anemia and hyperuricemia in the risk of all-cause mortality in patients with chronic kidney disease.

Aim: Both hyperuricemia and anemia are not only the manifestation of chronic kidney disease (CKD) but also related to its occurrence and development. A recent study has found that there was a synergetic effect between hyperuricemia and anemia on new-onset CKD. Herein we aimed to explore the roles of hyperuricemia and anemia in the all-cause mortality in patients with CKD. Methods: Data of adult patients with CKD were extracted from the National Health and Nutrition Examination Surveys (NHANES) database in 2009-2018 in this retrospective cohort study. Weighted univariate and multivariate COX regression analyses were used to investigate the associations of hyperuricemia and anemia with all-cause mortality, and the evaluation indexes were hazard ratios (HRs) and 95% confidence intervals (CIs). The interaction effect between hyperuricemia and anemia on the risk of all-cause mortality was assessed via relative excess risk due to interaction (RERI) and attributable proportion of interaction (AP). Subgroup analyses of age, gender, CVD, hypertension, DM, and cancer were also performed to assess this interaction effect. Results: Among 3,678 eligible patients, 819 died from all causes. After adjusting for covariables, we found that CKD patients with anemia (HR = 1.72, 95%CI: 1.42-2.09) or hyperuricemia (HR = 1.21, 95%CI: 1.01-11.45) had a higher risk of all-cause mortality. There was a potential synergetic effect between anemia and hyperuricemia on all-cause mortality, with RERI of 0.630 and AP of 0.291. Moreover, this synergetic effect was also observed in ≥65 years old (AP = 0.330), male (AP = 0.355), hypertension (AP = 0.736), non-hypertension (AP = 0.281), DM (AP = 0.371), and cancer (AP = 0.391) subgroups. Conclusion: A potential synergetic effect between anemia and hyperuricemia on all-cause mortality was found in patients with CKD. However, further studies are needed to clarify the causal relationship between them.

Association of ambient air pollution with hemoglobin levels and anemia in the general population of Korean adults.

BACKGROUND: Emerging evidence has suggested significant associations between ambient air pollution and changes in hemoglobin levels or anemia in specific vulnerable groups, but few studies have assessed this relationship in the general population. This study aimed to evaluate the association between long-term exposure to air pollution and hemoglobin concentrations or anemia in general adults in South Korea. METHODS: A total of 69,830 Korean adults from a large-scale nationwide survey were selected for our final analysis. Air pollutants included particulate matter with an aerodynamic diameter less than or equal to 10 micrometers (PM10), particulate matter with an aerodynamic diameter less than or equal to 2.5 micrometers, nitrogen dioxide, sulfur dioxide (SO2), and carbon monoxide (CO). We measured the serum hemoglobin concentration to assess anemia for each participant. RESULTS: In the fully adjusted model, exposure levels to PM10, SO2, and CO for one and two years were significantly associated with decreased hemoglobin concentrations (all p < 0.05), with effects ranging from 0.15 to 0.62% per increase in interquartile range (IQR) for each air pollutant. We also showed a significant association of annual exposure to PM10 with anemia (p = 0.0426); the odds ratio (OR) [95% confidence interval (CI)] for anemia per each increase in IQR in PM10 was estimated to be 1.039 (1.001-1.079). This association was also found in the 2-year duration of exposure (OR = 1.046; 95% CI = 1.009-1.083; adjusted Model 2). In addition, CO exposure during two years was closely related to anemia (OR = 1.046; 95% CI = 1.004-1.091; adjusted Model 2). CONCLUSIONS: This study provides the first evidence that long-term exposure to air pollution, especially PM10, is significantly associated with reduced hemoglobin levels and anemia in the general adult population.

Anti-inflammatory therapies are associated with delayed onset of anemia and reduction in transfusion requirements in critically ill patients: results from two studies.

BACKGROUND: Anemia is a hallmark of critical illness, which is largely inflammatory driven. We hypothesized that the use of anti-inflammatory agents limits the development of anemia and reduces the need for red blood cell (RBC) transfusions in patients with a hyper-inflammatory condition due to COVID-19. METHODS: An observational cohort (n = 772) and a validation cohort (a subset of REMAP-CAP, n = 119) of critically ill patients with hypoxemic respiratory failure due to COVID-19 were analyzed, who either received no treatment, received steroids or received steroids plus IL-6 blocking agents. The trajectory of hemoglobin (Hb) decline and the need for RBC transfusions were compared using descriptive statistics as well as multivariate modeling. RESULTS: In both cohorts, Hb level was higher in the treated groups compared to the untreated group at all time points. In the observational cohort, incidence and number of transfused patients were lower in the group receiving the combination treatment compared to the untreated groups. In a multivariate analysis controlling for baseline Hb imbalance and mechanical ventilation, receipt of steroids remained associated with a slower decline in Hb level and the combination treatment remained associated with a slower decline of Hb and with less transfusions. Results remained the same in the validation cohort. CONCLUSION: Immunomodulatory treatment was associated with a slower decline in Hb level in critically ill patients with COVID-19 and with less transfusion. Findings point toward inflammation as an important cause for the occurrence of anemia in the critically ill.

Impact of supplementation with iron-folic acid (IFA) and vitamin D3 compared with IFA alone on haemoglobin levels in elderly people with mild-to-moderate anaemia: protocol for the double-blind, randomised, placebo-controlled Iron and vitamin D trial in Elderly Anemia (IDEA).

INTRODUCTION: Anaemia in the elderly is often difficult to treat with iron supplementation alone as prevalence of anaemia of chronic disease (ACD) alone or mixed with iron-deficiency anaemia (IDA) is high in this age group. Hepcidin remains high in ACD, preventing utilisation of iron for heme synthesis. Vitamin D3 has shown hepcidin suppression activity in both in vitro and in vivo studies. As there is no study assessing the effect of iron-folic acid (IFA) with vitamin D3 on haemoglobin levels in the elderly in India, we want to conduct this study to estimate the impact of supplementation of a therapeutic package of IFA and vitamin D3 on haemoglobin levels in the elderly with mild-to-moderate anaemia in comparison with IFA only. The study will also assess the impact of the proposed intervention on ferritin, hepcidin, 25-hydroxyvitamin D, C reactive protein (CRP) and parathyroid hormone (PTH) levels. METHODS AND ANALYSIS: This study is a community-based, double-blind, placebo-controlled, randomised trial. The study will be done in the Kalyani municipality area. Individuals aged ≥60 years with mild-to-moderate anaemia and normal vitamin D3 levels will be randomised into the intervention (IFA and vitamin D3 supplementation) group or the control group (IFA and olive oil as placebo). All medications will be self-administered. Follow-up will be done on a weekly basis for 12 weeks. The calculated sample size is 150 in each arm. Block randomisation will be done. The primary outcome is change in haemoglobin levels from baseline to 12 weeks. Secondary outcome is change in serum ferritin, 25-hydroxyvitamin D, hepcidin, CRP and PTH levels from baseline to 12 weeks. ETHICS AND DISSEMINATION: Ethical approval from the Institutional Ethics Committee of All India Institute of Medical Sciences Kalyani has been obtained (IEC/AIIMS/Kalyani/Meeting/2022/03). Written informed consent will be obtained from each study participant. The trial results will be reported through publication in a reputable journal and disseminated through health talks within the communities. TRIAL REGISTRATION NUMBER: CTRI/2022/05/042775. PROTOCOL VERSION: Version 1.0.

The Association between Anemia and Mortality of Severe Pneumonia COVID-19 Patients in the High Care Unit of a Tertiary Hospital in Jakarta.

BACKGROUND: Numerous studies explored the association between anemia and mortality in patients with severe pneumonia due to COVID-19. However, the findings were inconsistent. Therefore, this study was conducted to investigate the association between anemia at HCU admission and in-hospital mortality in severe pneumonia COVID-19 patients. METHODS: This retrospective cohort study obtained data on 110 COVID-19 patients with severe pneumonia who were admitted to the HCU between January, 1st 2021, and May 31st, 2021. Patients were categorized as anemic and non-anemic based on the World Health Organization (WHO) guidelines. The demographic and clinical characteristics of the subjects were described. The Chi-squared test was carried out followed by a logistic regression test to determine the association of anemia and mortality. RESULTS: Anemia was observed in 31% of 110 patients with severe pneumonia COVID-19. The source population consisted of 60.9% men and 39.1% women with a median age of 58 years. The most prevalent comorbidity was hypertension (38.2%), followed by diabetes mellitus (27.2%), renal diseases (19.1%) and heart diseases (10%). TAnemia on HCU admission was associated with in-hospital mortality in patients with severe pneumonia COVID-19 (RR: 2.794, 95% CI 1.470-5.312). After adjusting comorbidities as confounding factors, anemia was independently associated with mortality (RR: 2.204, 95% CI: 1.124-4.323, P < 0.021). The result also showed anemic patients had longer lengths of stay and higher levels of D-dimer than non-anemic patients. The median duration length of stay among the anemic and non-anemic was 16 (11-22) and 13 (9-17) days, respectively. The median D-dimer among the anemic and non-anemic was 2220 µg/ml and 1010 µg/ml, respectively. CONCLUSION: There is a significant association between anemia at HCU admission and mortality in patients with severe pneumonia COVID-19 during hospitalization.

Preoperative anaemia in distal pancreatectomy: a propensity-score matched analysis.

BACKGROUND: Preoperative anaemia is a prevalent morbidity predictor that adversely affects short- and long-term outcomes of patients undergoing surgery. This analysis aimed to investigate preoperative anaemia and its detrimental effects on patients after distal pancreatectomy. MATERIAL AND METHODS: The present study was a propensity-score match analysis of 286 consecutive patients undergoing distal pancreatectomy. Patients were screened for preoperative anaemia and classified according to WHO recommendations. The primary outcome measure was overall morbidity. The secondary endpoints were in-hospital mortality and rehospitalization. RESULTS: The preoperative anaemia rate before matching was 34.3% (98 patients), and after matching a total of 127 patients (non-anaemic 42 vs. anaemic 85) were included. Anaemic patients had significantly more postoperative major complications (54.1% vs. 23.8%; p < 0.01), a higher comprehensive complication index (26.2 vs. 4.3; p < 0.01), and higher in-hospital mortality rate (14.1% vs. 2.4%; p = 0.04). Multivariate regression analysis confirmed these findings and identified preoperative anaemia as a strong independent risk factor for postoperative major morbidity (OR 4.047; 95% CI: 1.587-10.320; p < 0.01). CONCLUSION: The current propensity-score matched analysis strongly considered preoperative anaemia as a risk factor for major complications following distal pancreatectomy. Therefore, an intense preoperative anaemia workup should be increasingly prioritised.

Application of machine learning methods for predicting childhood anaemia: Analysis of Ethiopian Demographic Health Survey of 2016.

Childhood anaemia is a public health problem in Ethiopia. Machine learning (ML) is a growing in medicine field to predict diseases. Diagnosis of childhood anaemia is resource intensive. The aim of this study is to apply machine learning (ML) algorithm to predict childhood anaemia using socio-demographic, economic, and maternal and child related variables. The study used data from 2016 Ethiopian demographic health survey (EDHS). We used Python software version 3.11 to apply and test ML algorithms through logistic regression, Random Forest (RF), Decision Tree, and K-Nearest Neighbours (KNN). We evaluated the performance of each of the ML algorithms using discrimination and calibration parameters. The predictive performance of the algorithms was between 60% and 66%. The logistic regression model was the best predictive model of ML with accuracy (66%), sensitivity (82%), specificity (42%), and AUC (69%), followed by RF with accuracy (64%), sensitivity (79%), specificity (42%), and AUC (63%). The logistic regression and the RF models of ML showed poorest family, child age category between 6 and 23 months, uneducated mother, unemployed mother, and stunting as high importance predictors of childhood anaemia. Applying logistic regression and RF models of ML can detect combinations of predictors of childhood anaemia that can be used in primary health care professionals.

Spatial distribution and associated factors of co-occurrence of overweight/obesity and Anemia among women in the reproductive age in sub-Saharan Africa: A multilevel analysis, DHS 2016-2021.

BACKGROUND: Overweight/obesity is one of the major public health problems that affect both developed and developing nations. The co-occurrence of overweight/obesity and anemia is thought to be largely preventable if detected early. To date, no spatial analyses have been performed to identify areas of hotspots for the co-occurrence of overweight/obesity and anemia among reproductive women in sub-Saharan Africa. Therefore, this study aimed to assess the spatial distribution and associated factors of the co-occurrence of overweight/obesity and anemia among women of reproductive age. METHODS: Data for the study were drawn from the Demographic and Health Survey, a nationally representative cross-sectional survey conducted in the era of Sustainable Development Goals, in which the World Health Assembly decided and planned to cease all forms of malnutrition by 2030. Seventeen sub-Saharan African countries and a total weighted sample of 108,161 reproductive women (15-49 years) were included in our study. The data extraction, recoding and analysis were done using STATA V.17. For the spatial analysis (autocorrelation, hot-spot and interpolation), ArcGIS version 10.7 software, and for the SaTScan analysis, SaTScan version 10.1 software was used. Descriptive statistics were presented using frequency tables and percentages. We employed multilevel logistic regression to investigate associated factors. In the multivariable analysis, variables with a p-value of ≤0.05 are considered as a significant factor associated with co-occurrence of overweight/obesity and anemia among women aged 15-49 years. RESULTS: The overall co-occurrence of overweight/obesity and anemia among women in sub-Saharan Africa was 12% (95%CI: 9-14%). The spatial analysis revealed that the co-occurrence of overweight/obesity and anemia among women significantly varied across sub-Saharan Africa. (Global Moran's I = 0.583163, p<0.001). In the spatial window, the primary-cluster was located in Liberia, Guinea, Gambia, Sira Leon, Mauritania, Mali, Cameron and Nigeria with a Log-Likelihood Ratio (LRR) of 1687.30, and Relative Risk (RR) of 2.58 at a p-value < 0.001. In multilevel analysis, women aged 25-34 years (AOR = 1.91, 95%CI: 1.78, 2.04), women aged 35-49 years (AOR = 2.96, 95% CI: 2.76, 3.17), married (AOR = 1.36, 95% CI: 1.27, 1.46), widowed (AOR = 1.22, 95%CI: 1.06, 1.40), divorced (AOR = 1.36, 95% CI: 1.23, 1.50), media exposure (AOR = 1.31, 95%CI: 1.23, 1.39), middle income (AOR = 1.19, 95%CI: 1.11, 1.28), high income/rich (AOR = 1.36, 95%CI: 1.26, 1.46), not working (AOR = 1.13, 95% CI:1.07, 1.19), traditional contraceptive utilization (AOR = 1.39, 95%CI: 1.23, 1.58) and no contraceptive use (AOR = 1.27, 95%CI: 1.20, 1.56), and no health insurance coverage (AOR = 1.36, 95%CI: 1.25, 1.49), were individual level significant variables. From community-level variables urban residence (AOR = 1.61, 95%CI: 1.50, 1.73), lower middle-income country (AOR = 2.50, 95%CI: 2.34, 2.66) and upper middle-income country (AOR = 2.87, 95%CI: 2.47, 3.34), were significantly associated with higher odds of co-occurrence of overweight/ obesity and anemia. CONCLUSION AND RECOMMENDATIONS: The spatial distribution of the co-occurrence of overweight/obesity and anemia was significantly varied across the sub-Saharan African country. Both individual and community-level factors were significantly associated with the co-occurrence of overweight/obesity and anemia. Therefore, public health programmers and other stalk holders who are involved in maternal healthcare should work together and give priority to hotspot areas of co-occurrence in sub-Saharan Africa.

Employing supervised machine learning algorithms for classification and prediction of anemia among youth girls in Ethiopia.

In developing countries, one-quarter of young women have suffered from anemia. However, the available studies in Ethiopia have been usually used the traditional stastical methods. Therefore, this study aimed to employ multiple machine learning algorithms to identify the most effective model for the prediction of anemia among youth girls in Ethiopia. A total of 5642 weighted samples of young girls from the 2016 Ethiopian Demographic and Health Survey dataset were utilized. The data underwent preprocessing, with 80% of the observations used for training the model and 20% for testing. Eight machine learning algorithms were employed to build and compare models. The model performance was assessed using evaluation metrics in Python software. Various data balancing techniques were applied, and the Boruta algorithm was used to select the most relevant features. Besides, association rule mining was conducted using the Apriori algorithm in R software. The random forest classifier with an AUC value of 82% outperformed in predicting anemia among all the tested classifiers. Region, poor wealth index, no formal education, unimproved toilet facility, rural residence, not used contraceptive method, religion, age, no media exposure, occupation, and having more than 5 family size were the top attributes to predict anemia. Association rule mining was identified the top seven best rules that most frequently associated with anemia. The random forest classifier is the best for predicting anemia. Therefore, making it potentially valuable as decision-support tools for the relevant stakeholders and giving emphasis for the identified predictors could be an important intervention to halt anemia among youth girls.

Determinants of coexistence of undernutrition and anemia among under-five children in Rwanda; evidence from 2019/20 demographic health survey: Application of bivariate binary logistic regression model.

BACKGROUND: Undernutrition and anemia are significant public health issues among under-5 children, with potential long-term consequences for growth, development, and overall health. Thus, this study aims to conduct a bivariate binary logistic regression model by accounting for the possible dependency of childhood undernutrition and anemia. METHODS: The data came from the DHS program's measurement. A total of 3,206 under-five children were involved in this study. A single composite index measure was calculated for stunting, wasting, and underweight using principal component analysis. A bivariate binary logistic regression model is used to assess the association between undernutrition and anemia given the effect of other predictors. RESULTS: Among 3,206 under-five children considered in this study, 1482 (46.2%) and 658 (20.5%) children were agonized by anemia and undernutrition, respectively. In bivariate binary logistic regression model; Urban children [AOR = 0.751, 96% CI: 0.573-0.984; AOR = 0.663, 95% CI: 0.456-0.995] and anemic mothers [AOR = 1.160, 95% CI: 1.104-1.218; AOR = 1.663, 95% CI: 1.242-2.225] were significantly associated with both childhood anemia and undernutrition, respectively. Improved water sources [AOR = 0.681, 95% CI: 0.446-0.996], average-sized children [AOR = 0.567, 95% CI: 0.462-0.696], and diarrhea [AOR = 1.134, 95% CI: 1.120-2.792] were significantly associated with childhood anemia. Large-sized children [AOR = 0.882, 95% CI: 0.791-0.853] and those with fever [AOR = 1.152, 95% CI: 1.312-2.981] were significantly associated with under-five children's undernutrition. CONCLUSION: The prevalence of both undernutrition and anemia among under-five-year-old children was high in Rwanda. The following determinants are statistically associated with both childhood undernutrition and anemia: place of residence; source of drinking water; maternal anemia; being a twin; birth size of children; diarrhea; fever; and child age. Anemia and nutritional deficiencies must be treated concurrently under one program, with evidence-based policies aimed at vulnerable populations.

Immediate postpartum anemia and associated factors at shewarobit health facilities, Amhara, Ethiopia, 2022: a cross sectional study.

BACKGROUND: Immediate postpartum anemia occurs when the amount of red blood cell count is reduced or hemoglobin concentration is below 10 g/dl in the immediate postpartum. It occurs primarily due to inadequate iron intake before and during pregnancy and blood loss during delivery. The aim of this study is to assess the proportion of immediate postpartum anemia and associated factors among mothers who gave birth at Shewarobit health facilities; in Amhara, Ethiopia. METHODS: Institutional-based cross-sectional study was conducted from June to September 2022. A systematic random sampling method was employed to select the study participants. The data were collected through interviewer-assisted questions. Data were entered into Epi Data software version 4.6.0.4 and exported to SPSS 21 for analysis, and descriptive statistics were computed. Logistic regression was applied, and P-values less than 0.05 were considered statistically significant. RESULTS: This study was conducted among 307 study participants and, the proportion of immediate postpartum anemia was 41.4% [95% CI: 36.7-46.6]. Having postpartum hemorrhage [AOR = 4.76, 95% CI: 2.44-9.28], not taking iron and folic acid supplementation [AOR = 6.19, 95% CI: 2.69, 14.22], having a prolonged second stage of labor [AOR = 2.52, 95% CI: 1.16-5.44], and mid-upper arm circumference < 23 cm [AOR = 2.02, 95% CI: 1.11-3.68] were factors significantly associated with immediate postpartum anemia. CONCLUSIONS: The proportion of immediate postpartum anemia was public problem in Shewarobit health facilities. Following the progress of labor using a partograph, closely monitoring and immediate intervention of PPH, and prevent undernutrition during antenatal care is recommended.

Association between Child Nutritional Anthropometric Indices and Iron Deficiencies among Children Aged 6-59 Months in Nepal.

Developmental impairment remains an important public health problem among children in many developing countries, including Nepal. Iron deficiency in children may affect development and lead to anaemia. This study on 1702 children aged 6-59 months aimed to assess the association between nutritional anthropometric indices and iron deficiencies. Data for this study were extracted from the 2016 Nepal National Micronutrient Status Survey. Three nutritional anthropometric indices (stunting, wasting and underweight) and their association with anaemia and iron deficiencies (ferritin and sTfR biomarkers) were assessed by conducting multivariate statistical analyses. The prevalence of stunting, wasting and underweight among children aged 6-59 months was 35.6%, 11.7% and 29.0%, respectively. Most of the children were not stunted (64.4%), not wasted (71.0%) and not underweight (88.3%). Belonging to castes other than the Janajati, Dalit and Brahmin castes increased the odds of anaemia and iron deficiency (ferritin biomarker). Children in the age group 6-23 months were significantly at higher odds of having anaemia and iron deficiency (ferritin and sTfR biomarkers). Stunting significantly increased the odds of anaemia [adjusted odds ratio (OR): 1.55; 95% confidence interval (CI): (1.11, 2.17)], iron deficiency (ferritin biomarker [OR: 1.56; 95% CI: (1.16, 2.08)] and sTfR biomarker [OR: 1.60; 95% CI: (1.18, 2.15)]). Further, underweight significantly increased the odds of anaemia [OR: 1.69; 95% CI: (1.12, 2.54)] and iron deficiency (sTfR biomarker [OR: 1.48; 95% CI: (1.14, 1.93)]). Interventions to minimise the occurrence of anaemia and iron deficiencies among children in Nepal should focus on providing appropriate healthcare services that would reduce the burden of stunting and underweight.

Nutrition-Related Knowledge, Attitudes, Practices, and Anemia Status of Lactating Mothers in Bukavu, Democratic Republic of the Congo-A Cross-Sectional Analysis.

Maternal nutrition is impacted by personal and environmental factors including dietary intake, knowledge, food availability, and affordability. This cross-sectional analysis aimed to evaluate nutrition-related knowledge, attitudes, practices, and associations with hemoglobin concentration among lactating mothers in the Bukavu region, Democratic Republic of the Congo. In 444 lactating mothers, nutrition-related knowledge and practice were assessed by questionnaires and translated into knowledge and practice scores ranging from 0 to 1, attitudes and drivers of food choice were assessed, the Dietary Diversity Score (DDS) was assessed with 24 h dietary recalls in a potential range from 0 to 10, and hemoglobin (Hb) was measured in mothers and their infants. Anemia prevalence was 28.2% among mothers and 74.3% among infants aged 3-8 months. Nutritional knowledge and practice were limited (the median total knowledge score was 0.39, median DDS was 3.0). While there were slight positive correlations between knowledge and maternal Hb, DDS did not significantly correlate with either knowledge or Hb. Although half of the mothers stated a perception about their own susceptibility to anemia or vitamin A deficiency (56.4%, 47.4%), less than half of those could justify their estimation (40.9%, 44.2%). Taste (68.1%), appearance (42.5%), availability (29.0%), and health effects (25.6%) were important drivers of food choice. In conclusion, interventions on the different influencing factors including nutrition education strategies are needed.

High ambient temperature may increase the risk of anemia in pregnancy: Identifying susceptible exposure windows.

Anemia in pregnancy (AIP) is associated with multiple severe maternal and perinatal adverse outcomes. However, there is a lack of evidence on the association between environmental factors and AIP. Aim to explore the association between ambient temperature and the risk of AIP, and identify susceptible exposure windows, we conducted a matched case-control study from 2013 to 2016 in Xi'an, China, which included 710 women with AIP and 1420 women without AIP. The conditional logistic regression model was used to evaluate the association between ambient temperature and AIP at different gestational weeks and gestational months. The association between extreme temperature and AIP was evaluated using the distributed lag nonlinear model (DLNM). We conducted stratified analyses of age, parity, and season of conception, and estimated the interaction between ambient temperature and air pollutants on AIP. Ambient temperature was significantly positively associated with the risk of AIP, and the susceptible exposure windows were 2-25 gestational weeks and 1-6 gestational months, respectively. The strongest effect was observed in the week 8 and month 2, for each 1 °C increase in weekly and monthly mean temperature, the odds ratio (OR) for AIP was 1.038 (95 % confidence interval (CI): 1.022, 1.055) and 1.040 (95 % CI: 1.020, 1.060), respectively. Extreme heat may increase the risk of AIP. Stratified analyses showed that there was no significant difference among different age, parity, and season of conception groups. No significant interaction effect of ambient temperature with air pollution on AIP was found. In summary, high ambient temperature may increase the risk of AIP, and the first and second trimesters may be susceptible exposure windows. Understanding the effect of temperature on pregnant women will be beneficial to reduce the occurrence of AIP.

Compliance With NCCN Guidelines for Evaluation and Treatment of Anemia Among Patients With Solid Tumors.

BACKGROUND: NCCN Guidelines for Hematopoietic Growth Factors recommend evaluation and treatment of anemia in patients with cancer. However, a paucity of data exists regarding compliance with these recommendations. METHODS: A retrospective cohort study was performed of patients diagnosed with any solid tumor at Vanderbilt University Medical Center from 2008 to 2017. Tumor registry-confirmed cancer cases were identified by ICD-O codes using the Synthetic Derivative database. Anemia was defined as hemoglobin (Hgb) level ≤11 g/dL and graded according to CTCAE version 5.0. Absolute, functional, and possible functional iron deficiency were defined based on NCCN Guidelines. RESULTS: A total of 25,018 patients met inclusion criteria. Median age was 60 years. The most common malignancies were respiratory tract, prostate, and nonprostate urologic (11% each). Among 8,695 patients with Hgb levels available prior to diagnosis, 1,484 (17%) were noted to be anemic proximal to diagnosis. Of the 25,018 patients, 11,019 (44%) were anemic within 6 months of diagnosis. Of these patients, 4,686 (43%) had grade 2 (moderate) anemia and 9,623 (87%) had normocytic anemia. Patients with retroperitoneal/peritoneal cancers had the highest prevalence of anemia (83/110; 75%). A total of 4,125 (37%) underwent any evaluation of their anemia, of whom 1,742 (16%) had iron studies performed and 1,528 (14%) had vitamin B12 or folate studies performed. Fewer than half of patients with anemia received treatment (n=4,318; 39%), including blood transfusion (n=3,528; 32%), oral iron supplementation (n=1,279; 12%), or intravenous iron supplementation (n=97; 1%). Anemia treatment was significantly more frequent as the grade of anemia increased (any treatment among grade 1/mild: 12%; grade 2/moderate: 31%; grade 3/severe: 77%; χ2 [2, n=11,019]=3,020.6; P<.001). Patients with penile and testicular cancers had the highest prevalence of anemia evaluation (n=57; 79%). CONCLUSIONS: Anemia is common in patients with solid tumors; yet, compliance with NCCN Guidelines for evaluation and treatment of anemia remains low. There are opportunities to improve compliance with guidelines across the spectrum of cancer care.