Abstract P014: Cardiovascular Risk Factors Associated with Low Dehydroepiandrosterone Sulfate

Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Monik C Jimenez ◽  
JoAnn E Manson ◽  
Kathryn M Rexrode
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Heart Disease ◽  
Dehydroepiandrosterone Sulfate ◽  
Stepwise Logistic Regression ◽  
Postmenopausal Hormone ◽  
Reactive Protein ◽  
Unit Increase ◽  
History Of ◽  
Hormone Use

Introduction: Low dehydroepiandrosterone sulfate (DHEAS) levels recently have been related to elevated risk of ischemic stroke. However, the association between DHEAS and traditional cardiovascular risk factors remains unclear. Methods: Blood samples were collected in 1989-1990 among 32,826 participants of the Nurses’ Health Study. Samples were assayed for DHEAS, lipids, and other biomarkers as part of a nested case control study evaluating risk of ischemic stroke and 340 stroke-free controls with complete data were available. Lifestyle covariates were ascertained in 1988. Stepwise logistic regression models were used to evaluate the association of between CVD risk factors and low DHEAS (<42 μ g/dL), while stepwise linear regression was used to evaluate the association with continuous DHEAS. Stepwise models utilized an entry threshold of α=0.20 and exit criterion of α=0.10. Results: The mean level of DHEAS was 78.38 μ g/dL (s.d. 50.02; median=67.03) in this population of women aged 43-69 years (median=62). Age was strongly associated with lower DHEAS. Women with history of heart disease and higher total/HDL cholesterol were more likely to have low DHEAS. In stepwise logistic regression analyses, age (OR=2.94; 95%CI: 1.73-5.00 for 10 yrs) and history of heart disease (OR=1.84; 95% CI: 0.91-3.70) were identified as risk factors for low DHEAS. In stepwise linear regression modeling, age, postmenopausal hormone use, history of heart disease and C-reactive protein (CRP) were associated with lower DHEAS levels while alcohol use was associated with higher DHEAS levels (Table 1). Body mass index, smoking, diabetes, glycosylated hemoglobin and lipids were not associated with low DHEAS. Conclusions: In this population of healthy women, lower levels of DHEAS were associated with older age, history of heart disease, postmenopausal hormone use, higher CRP and lower levels of alcohol consumption. Further research is needed to explore these associations. Table 1 Multivariable * adjusted estimates for DHEAS by cardiovascular disease risk factors DHEAS (continuous μ g/dL) β † 95%CI Age ‡ −28.40 −36.75, -20.05 History of Heart disease −18.76 −39.23, 1.71 Postmenopausal Hormone Therapy Use & −12.01 −21.99, -2.04 CRP £ (mg/L) −0.66 −1.37, 0.04 Alcohol # (g/day) 2.95 0.46, 5.45 * All variables mutually adjusted for one another † Estimated from stepwise logistic regression model ‡ per 10 year increase in age & Ref = No use of postmenopausal hormone therapy £ per 1 unit increase in C-reactive protein (CRP- mg/L) # per 5 unit increase in alcohol consumption (g/day)

scholarly journals Hyperhomocysteinemia as an Independent Risk Factor for Coronary Heart Disease. Comparison with Conventional Risk Factors

2023 ◽  
Vol 83 ◽  
Author(s):  
R. Muzaffar ◽  
M. A. Khan ◽  
M. H. Mushtaq ◽  
M. Nasir ◽  
A. Khan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Logistic Regression ◽  
Risk Factor ◽  
Heart Disease ◽  
Independent Risk Factor ◽  
Plasma Homocysteine ◽  
History Of ◽  
The Mean ◽  
Conventional Risk Factors

Abstract The present study was designed to evaluate the strength of association of raised plasma homocysteine concentration as a risk factor for coronary heart disease independent of conventional risk factor. It was a case control study conducted at Punjab Institute of Cardiology Lahore. A total of 210 subjects aged 25 to 60 years comprising of 105 newly admitted patients of CHD as cases and 105 age and sex matched healthy individuals with no history of CHD as control were recruited for the study. Fasting blood samples were obtained from cases and controls. Plasma homocysteine was analyzed by fluorescence polarization immunoassay (FPIA) method on automated immunoassay analyzer (Abbott IMX). Total cholesterol, triglyceride and HDL cholesterol were analyzed using calorimetric kit methods. The concentration of LDL cholesterol was calculated using Friedewald formula. The patients were also assessed for traditional risk factors such as age, sex, family history of CVD, hypertension, smoking and physical activity, and were compared with control subjects. The collected data was entered in SPSS version 24 for analysis and interpretation.The mean age in controls and experimental groups were 43.00± 8.42 years and 44.72± 8.59 years with statistically same distribution (p- value= 0.144). The mean plasma homocysteine for cases was 22.33± 9.22 µmol/L where as it was 12.59±3.73 µmol/L in control group. Highly significant difference was seen between the mean plasma level of homocysteine in cases and controls (p˂0.001).Simple logistic regression indicates a strong association of coronary heart disease with hyperhomocysteinemia (OR 7.45), which remained significantly associated with coronary heart disease by multivariate logistic regression (OR 7.10, 95%C1 3.12-12.83, p=0.000). The present study concludes that elevated levels of Plasma homocysteine is an independent risk factor for coronary heart disease independent of conventional risk factors and can be used as an indicator for predicting the future possibility for the onset of CVD.

Abstract 17010: Predicting Risk of Sudden Death With QT Interval-Prolonging Medications

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Nanki Chugh ◽  
Sol Bloomfield ◽  
Oliver Leitner ◽  
Audrey Uy-Evanado ◽  
Sumeet Chugh ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Qt Interval ◽  
Stepwise Logistic Regression ◽  
Clinical Tool ◽  
Unexpected Death ◽  
Qt Interval Prolongation ◽  
Increase Risk ◽  
Unit Increase ◽  
History Of ◽  
Artery Disease

Background: The ongoing pandemic has re-emphasized how QT-prolonging drugs can increase risk of sudden cardiac death (SCD), but azithromycin and hydroxychloroquine are only 2 of many such medications. There remains a critical need to identify individuals who are at high risk of SCD based on their demographic and clinical profile. Hypothesis: A modified Tisdale Score (TS), originally designed to assess risk of QTc (corrected QT interval) prolongation with QT-prolonging drugs, could also predict risk of SCD. Methods: From the ongoing Oregon Sudden Unexpected Death Study (ORESUDS), we identified a subgroup of SCD patients with coronary artery disease (CAD) and controls (individuals with and without CAD but no history of SCD) on at least one QT-prolonging medication enrolled between 2002 and 2020. Analysis was restricted to subjects with available pre-arrest medical history, including ECGs with QT interval available and details of prescribed medications. We identified QT prolonging drugs from the comprehensive list at crediblemeds.com. Our TS included age, sex, use of loop diuretics, serum potassium levels, history of acute myocardial infarction, history of heart failure, and number of QT prolonging drugs. We used a univariate logistic regression to determine the predictive power of the modified TS for SCD. We performed a backwards stepwise logistic regression considering race/ethnicity, diabetes, and hypertension in addition to TS to improve SCD prediction. Results: A total of 964 cases (60% male, mean age 68 years) and 668 controls (62% male, mean age 67 years) met inclusion criteria. TS ranged from 0 to 12 and mean TS was 5.86 ± 2.93 in cases and 4.29 ± 2.74 in controls (p < 0.001). A 1-unit increase in the modified TS was a significant predictor of SCD (odds ratio (OR) 1.21, 95% confidence interval, 1.17 to 1.26). In the multivariable model predicting SCD, both the modified TS (OR 1.20, 95% CI, 1.15 to 1.25) and diabetes (OR 1.42, 95% CI, 1.14 to 1.78) were significant independent predictors of SCD. Conclusion: A modified Tisdale Score predicts SCD, and history of diabetes could potentially enhance the utility of this user-friendly clinical tool. These findings have implications for prescription of QT-prolonging drugs, especially during the ongoing pandemic.

CARDIOVASCULAR RISK FACTORS PECULIARITIES IN MEN UNDER 60 YEARS OLD WITH MYOCARDIAL INFARCTION AND CHRONIC INFLAMMATORY LUNG DISEASES

2020 ◽  
pp. 21-25
Author(s):  
Tupitsyn V.V. ◽  
Bataev Kh.M. ◽  
Men’shikova A.N. ◽  
Godina Z.N.
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Heart Disease ◽  
Cardiovascular Risk ◽  
Digestive System ◽  
Control Group ◽  
Study Group ◽  
Type I ◽  
Internal Organs ◽  
History Of

Relevance. Information about the cardiovascular diseases risk factors (CVD RF) for in men with chronic lung inflam-matory pathology (CLID) is contradictory and requires clarification. Aim. To evaluate the peculiarities of CVD RF in men under 60 years of age with CLID in myocardial infarction (MI) to improve prevention. Material and methods. The study included men aged 19-60 years old with type I myocardial infarction. Patients are divided into two age-comparable groups: I - the study group, with CLID - 142 patients; II - control, without it - 424 patients. A comparative analysis of the frequency of observation of the main and additional cardiovascular risk fac-tors in groups was performed. Results. In patients of the study group, more often than in the control group we observed: hereditary burden of is-chemic heart disease (40.8 and 31.6%, respectively; p = 0.0461) and arterial hypertension (54.2 and 44.6%; p = 0.0461), frequent colds (24.6 and 12.0%; p = 0.0003), a history of extrasystoles (19.7 and 12.7%; p = 0.04); chronic foci of infections of internal organs (75.4 and 29.5%; p˂0.0001), non-ulcer lesions of the digestive system (26.1 and 14.6%; p = 0.007), smoking (95.1 and 66.3%; p˂0.0001), MI in winter (40.8 and 25.9%; p = 0.006). Less commonly were observed: oral cavity infections (9.2 and 23.6%; p˂0.0001); hypodynamia (74.5 and 82.5%; p = 0.0358), over-weight (44.4 and 55.2%; p = 0.0136), a subjective relationship between the worsening of the course of coronary heart disease and the season of the year (43.7 and 55.2%; p = 0.0173) and MI - in the autumn (14.1 and 21.9%; p = 0.006) period. Conclusions. The structure of CVD RF in men under 60 years of age with CLID with MI is characterized by the pre-dominance of smoking, non-ulcer pathology of the digestive system, frequent pro-student diseases, meteorological dependence, a history of cardiac arrhythmias and foci of internal organ infections. It is advisable to use the listed factors when planning preventive measures in such patients.

scholarly journals Prediction of Endometrial Hyperplasia and Cancer among Premenopausal Women with Abnormal Uterine Bleeding

2019 ◽  
Vol 2019 ◽  
pp. 1-6 ◽  
Author(s):  
Luca Giannella ◽  
Lillo Bruno Cerami ◽  
Tiziano Setti ◽  
Ezio Bergamini ◽  
Fausto Boselli
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Prediction Model ◽  
Endometrial Hyperplasia ◽  
Premenopausal Women ◽  
Abnormal Uterine Bleeding ◽  
Uterine Bleeding ◽  
Stepwise Logistic Regression ◽  
Simultaneous Presence ◽  
Endometrial Pathology

Objective. To create a prediction model including clinical variables for the prediction of premalignant/malignant endometrial pathology in premenopausal women with abnormal uterine bleeding (AUB). Methods. This is an observational retrospective study including 240 premenopausal women with AUB referred to diagnostic hysteroscopy. Based on the presence of endometrial hyperplasia (EH) or cancer (EC), the women were divided into cases (EH/EC) and controls (no EH/EC). Univariate, stepwise logistic regression and ROC curve analysis were performed. Results. 12 women had EH/EC (5%). Stepwise logistic regression analysis showed that EH/EC associated significantly with BMI ≥ 30 (OR=7.70, 95% CI 1.90 to 31.17), diabetes (OR=9.71, 95% CI 1.63 to 57.81), and a thickened endometrium (OR=1.20, 95% CI 1.08 to 1.34, criterion > 11 mm). The AUC was 0.854 (95% confidence intervals 0.803 to 0.896, p<0.0001). Considering the pretest probability for EH/EC of 5%, the prediction model with a positive likelihood ratio of 8.14 showed a posttest probability of 30%. The simultaneous presence of two or three risk factors was significantly more common in women with EH/EC than controls (50% vs. 6.6 and 25% vs. 0%, respectively, p<0.0001). Conclusion. When premenopausal vaginal bleeding occurs in diabetic obese women with ET > 11 mm, the percentage of premalignant/malignant endometrial pathology increases by 25%. It is likely that the simultaneous presence of several risk factors is necessary to significantly increase the probability of endometrial pathology.

scholarly journals Analysis of Sociodemographic and Clinical Factors Associated with Hospitalized Stroke Patients of Bangladesh

1970 ◽  
Vol 6 (1) ◽  
pp. 19-23 ◽  
Author(s):  
AM Hossain ◽  
NU Ahmed ◽  
M Rahman ◽  
MR Islam ◽  
G Sadhya ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Disease ◽  
Ischaemic Heart Disease ◽  
Low Income ◽  
Heart Diseases ◽  
Previous History ◽  
Stroke Patients ◽  
College Hospital ◽  
Cross Sectional ◽  
History Of

A hospital based cross sectional study was carried out to analyze prevalence of risk factors for stroke in hospitalized patient in a medical college hospital. 100 patients were chosen using purposive sampling technique. Highest incidence of stroke was between the 6th and 7th decade. Patients came from both urban (54%) and rural (46%) areas and most of them belong to the low-income group (47%). In occupational category; service holder (28%) and retired person (21%) were the highest groups. Most of the study subjects were literate (63%). CT scan study revealed that the incidence of ischaemic stroke was 61% and haemorrhagic stroke 39%. Analysis indicated hypertension as major risk factor for stroke (63%) and major portion of the patients (42.85%) were on irregular or no treatment. Twenty four percent of the patients had heart diseases and out of 24 patients 45.83% were suffering from ischaemic heart disease. The present study detected diabetes in 21% patients. Fifty three percent of the study subjects were smoker, 39% patients had habit of betelnut chewing. Out of 26 female patients, only 23% had history of using oral contraceptives. Majority of the patients were sedentary workers (46%). Thirty seven percent of the stroke patients were obese. Among the stroke patients 9% had previous history of stroke and 3% had TIA respectively. Most of the patients (21%) were awake while they suffered from stroke and the time of occurrence was mostly in the afternoon (46%). This study found that hypertension, cigarette smoking, ischaemic heart disease and diabetes mellitus are the major risk factors prevalent in our community while other risk factors demand further study. Key words: stroke; risk factors; hospitalized patients; Bangladesh. DOI: 10.3329/fmcj.v6i1.7405 Faridpur Med. Coll. J. 2011;6(1): 19-23

scholarly journals Lipoprotein(a) and Risk of Type 2 Diabetes

2010 ◽  
Vol 56 (8) ◽  
pp. 1252-1260 ◽  
Author(s):  
Samia Mora ◽  
Pia R Kamstrup ◽  
Nader Rifai ◽  
Børge G Nordestgaard ◽  
Julie E Buring ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Cardiovascular Risk ◽  
Men And Women ◽  
Lipoprotein A ◽  
Incident Type ◽  
Reactive Protein ◽  
Hb A1c ◽  
Hormone Use

BACKGROUND Previous studies have demonstrated that cardiovascular risk is higher with increased lipoprotein(a) [Lp(a)]. Whether Lp(a) concentration is related to type 2 diabetes is unclear. METHODS In 26 746 healthy US women (mean age 54.6 years), we prospectively examined baseline Lp(a) concentrations and incident type 2 diabetes (n = 1670) for a follow-up period of 13 years. We confirmed our findings in 9652 Danish men and women with prevalent diabetes (n = 419). Analyses were adjusted for risk factors that included age, race, smoking, hormone use, family history, blood pressure, body mass index, hemoglobin A1c (Hb A1c), C-reactive protein, and lipids. RESULTS Lp(a) was inversely associated with incident diabetes, with fully adjusted hazard ratios (HRs) and 95% CIs for quintiles 2–5 vs quintile 1 of 0.87 (0.75–1.01), 0.80 (0.68–0.93), 0.88 (0.76–1.02), and 0.78 (0.67–0.91); P for trend 0.002. The association was stronger in nonfasting women, for whom respective HRs were 0.79 (0.58–1.09), 0.78 (0.57–1.08), 0.66 (0.46–0.93), and 0.56 (0.40–0.80); P for trend 0.001; P for interaction with fasting status 0.002. When we used Lp(a) ≥10 mg/L and Hb A1c &lt;5% as reference values, the adjusted HRs were 1.62 (0.91–2.89) for Lp(a) &lt;10 mg/L and Hb A1c &lt;5%, 3.50 (3.06–4.01) for Lp(a)≥10 mg/L and Hb A1c 5%–&lt;6.5%, and 5.36 (4.00–7.19) for Lp(a) &lt;10 mg/L and Hb A1c 5%–&lt;6.5%. Results were similar in nonfasting Danish men and women, for whom adjusted odds ratios were 0.75 (0.55–1.03), 0.64 (0.46–0.88), 0.74 (0.54–1.01), and 0.58 (0.42–0.79) for Lp(a) quintiles 2–5 vs quintile 1; P for trend 0.002. CONCLUSIONS Our results indicated that Lp(a) was associated inversely with risk of type 2 diabetes independently of risk factors, in contrast to prior findings of positive associations of Lp(a) with cardiovascular risk.

Abstract P192: Metabolomic Profiles Associated with Coronary Heart Disease in Women

Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
Nina P Paynter ◽  
Raji Balasubramanian ◽  
Shuba Gopal ◽  
Franco Giulianini ◽  
Leslie Tinker ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Logistic Regression ◽  
Heart Disease ◽  
Tier 2 ◽  
Validation Data ◽  
Data Set ◽  
Chd Risk ◽  
Tier 1 ◽  
Chd Risk Factors

Background: Prior studies of metabolomic profiles and coronary heart disease (CHD) have been limited by relatively small case numbers and scant data in women. Methods: The discovery set examined 371 metabolites in 400 confirmed, incident CHD cases and 400 controls (frequency matched on age, race/ethnicity, hysterectomy status and time of enrollment) in the Women’s Health Initiative Observational Study (WHI-OS). All selected metabolites were validated in a separate set of 394 cases and 397 matched controls drawn from the placebo arms of the WHI Hormone Therapy trials and the WHI-OS. Discovery used 4 methods: false-discovery rate (FDR) adjusted logistic regression for individual metabolites, permutation corrected least absolute shrinkage and selection operator (LASSO) algorithms, sparse partial least squares discriminant analysis (PLS-DA) algorithms, and random forest algorithms. Each method was performed with matching factors only and with matching plus both medication use (aspirin, statins, anti-diabetics and anti-hypertensives) and traditional CHD risk factors (smoking, systolic blood pressure, diabetes, total and HDL cholesterol). Replication in the validation set was defined as a logistic regression coefficient of p<0.05 for the metabolites selected by 3 or 4 methods (tier 1), or a FDR adjusted p<0.05 for metabolites selected by only 1 or 2 methods (tier 2). Results: Sixty-seven metabolites were selected in the discovery data set (30 tier 1 and 37 tier 2). Twenty-six successfully replicated in the validation data set (21 tier 1 and 5 tier 2), with 25 significant with adjusting for matching factors only and 11 significant after additionally adjusting for medications and CHD risk factors. Validated metabolites included amino acids, sugars, nucleosides, eicosanoids, plasmologens, polyunsaturated phospholipids and highly saturated triglycerides. These include novel metabolites as well as metabolites such as glutamate/glutamine, which have been shown in other populations. Conclusions: Multiple metabolites in important physiological pathways with robust associations for risk of CHD in women were identified and replicated. These results may offer insights into biological mechanisms of CHD as well as identify potential markers of risk.

Coronary Risk Factors in Adolescents Related to Their Knowledge of Familial Coronary Heart Disease and Hypercholesterolemia: The Muscatine Study

PEDIATRICS ◽  
1994 ◽  
Vol 93 (3) ◽  
pp. 444-451
Author(s):  
Linda E. Muhonen ◽  
Richard P. Nelson ◽  
Trudy L. Burns ◽  
Ronald M. Lauer
Keyword(s):  
Risk Factors ◽  
Heart Disease ◽  
Density Lipoprotein ◽  
Apolipoprotein A1 ◽  
Lipoprotein Cholesterol ◽  
Coronary Risk Factors ◽  
Coronary Risk ◽  
High Cholesterol ◽  
Parental History ◽  
History Of

Objective. To determine the utility of a school-based questionnaire, to identify adolescents with adverse coronary risk factor levels. Design. In Muscatine, IA, students (9th through 12th grade) completed a questionnaire providing medical history information about first- and second-degree relatives. Anthropometric measures were obtained and blood pressure, lipid, lipoprotein, and apolipoprotein levels were determined. Results. A history of parental coronary heart disease (CHD) was rare and a history of parental high cholesterol frequently was unknown; however, when known, a history of high cholesterol or early (30 to 55 years of age) or later (&gt;55 years of age) CHD (myocardial infarction, coronary bypass, or death from a heart attack) in grandfathers enriched the identification of adolescents with adverse coronary risk factors. Parental history of CHD was associated with an increased risk for high body mass index and low apolipoprotein A1 levels in their children. Grandfather history of early or later CHD was associated with an increased risk for low apolipoprotein A1 and high density lipoprotein cholesterol levels and high body mass index in their grandchildren. Students with positive grandfather histories of high cholesterol had higher total cholesterol, low density lipoprotein cholesterol, apolipoprotein B, and low density lipoprotein cholesterol to high density lipoprotein cholesterol ratios. Grandmother histories, because most were negative, did not help identify adolescents in this population with adverse coronary risk factors. Conclusions. A parental history of CHD as well as a grandfather history of high cholesterol or CHD enriches the identification of children with adverse coronary risk factor levels. The positive predictive values associated with using a school-based history obtained from adolescents, many with the aid of their parents, are small and many adolescents do not know their family history. It is essential that pediatricians inquire about parental and especially grandparental medical histories in accordance with the National Cholesterol Education Program guidelines to help identify children at highest familial risk. The importance of determining parental and grandparental histories of CHD or hypercholesterolemia should be emphasized to families who are uncertain of their histories to identify children and adolescents who require a physician's care. It is also important for pediatricians to remind their colleagues who care for patients with premature ischemic heart disease to refer their progeny for pediatric care so that their lipids and lipoproteins may be screened and counseling provided.

scholarly journals Allogeneic Red Blood Cell Transfusion Rate and Risk Factors After Hemiarthroplasty in Elderly Patients With Femoral Neck Fracture

2021 ◽  
Vol 12 ◽  
Author(s):  
Rui Yue ◽  
Minghui Yang ◽  
Xiaohui Deng ◽  
Ping Zhang
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Femoral Neck ◽  
Elderly Patients ◽  
Blood Cell ◽  
Advanced Age ◽  
Stepwise Logistic Regression ◽  
Neck Fracture ◽  
Low Bmi ◽  
Multivariate Stepwise Logistic Regression

ObjectiveThis study aimed to determine the rate and risk factors of allogeneic red blood cell transfusions (ABT) after hemiarthroplasty (HA) in elderly patients with femoral neck fracture (FNF).MethodsThe subjects of the study were elderly patients (≥65 years old) who were admitted to the geriatric trauma orthopedics ward of Beijing Jishuitan Hospital between March 2018 and June 2019 for HA treatment due to an FNF. The perioperative data were collected retrospectively, and univariate and multivariate stepwise logistic regression analyses were performed to determine the post-operative ABT rate and its risk factors.ResultsThere were 445 patients in the study, of whom 177 (39.8%) received ABT after surgery. Multivariate stepwise logistic regression analysis showed that preoperative low hemoglobin (Hb), high intraoperative blood loss (IBL), advanced age, and a low body mass index (BMI) are independent risk factors of ABT after HA in elderly FNF patients.ConclusionABT after HA is a common phenomenon in elderly patients with FNF. Their post-operative ABT needs are related to preoperative low Hb, high IBL, advanced age, and low BMI. Therefore, ABT can be reduced by taking these factors into account. When the same patient had three risk factors (preoperative low hemoglobin, advanced age, and low BMI), the risk of ABT was very high (78.3%). Also, when patients have two risk factors of preoperative low hemoglobin and low BMI, the risk of ABT was also high (80.0%).

scholarly journals Association of Hypertriglycerideamia with Ischaemic Stroke

2016 ◽  
Vol 32 (1) ◽  
pp. 34-38
Author(s):  
Biplob Kumar Das ◽  
Kanak Jyoti Mondal
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Ischaemic Stroke ◽  
Significant Risk ◽  
Serum Triglyceride ◽  
Control Group ◽  
Case Group ◽  
Stepwise Logistic Regression ◽  
Serum Triglyceride Level ◽  
Analysis Model

Stroke is one of the foremost causes of morbidity, mortality and is a socioeconomic challenge. This is particularly true for developing countries like Bangladesh, where health support system including the rehabilitation system is not within the reach of common people. Hypertriglycerademia has an effective influence in the pathogenesis of Ischaemic Stroke (IS). So, the focus of this study was to evaluate and assess the association of serum triglyceride level in patients of IS. This case control study was carried out in the Department of Neurology in collaboration with Department of Biochemistry, BSMMU, Dhaka from July 2011 to June 2013. In this study, 60 diagnosed cases of ischaemic stroke patients and 60 age and sex matched healthy controls were enrolled. Risk factors of Ischemic Stroke (IS) patients were assessed ( adjusted Odds Ratio) in comparison with healthy adults. In this study, being married [OR. 1.95, 95% CI (0.40-9.42), p=0.409] , smoker [OR.1.65, 95% CI (0.57 - 4.82),p= 0.357], DM [OR. 1.48, 95% CI (0.36-6.06), p=0.582 ], IHD [OR. 1.51, 95% CI (0.29 – 7.89), p=0.624] , HTN [OR. 3.66, 95% CI (1.11–12.12), p=0.033] , overweight [OR.2.31, 95% CI (0.77 – 6.91), 0.135] and obesity [OR. 16.19, 95% CI (1.31–200.6), p=0.030] , increased level of serum TC [OR.8.24, 95% CI (2.07 – 32.83), p=0.003], TG [OR. 9.40, 95% CI (1.17 -75.86), p=0.035], LDL [OR. 0.45, 95% CI (0.10–2.05), p=0.308],and decreased level of HDL [OR. 3.37, 95% CI (1.03 - 12.25), p=0.045] were found as risk factors in developing IS. Independent t-test was done to find out the statistically significant differences of continuous variables like serum lipid profile between case and control group. The mean (SD) value of TG which is focus of this study, was found 237.67 (61.74) in case group, and 169.97 (26.95) in control group which was highly statistically significant (p < 0.0001). All of the significant variables were entered into stepwise logistic regression analysis model. From the logistic regression model, it can be finally concluded that hypertension, obesity, increased level of TC, increased level of TG and decreased level of HDL were statistically significant risk factors for development of IS. Bangladesh Journal of Neuroscience 2016; Vol. 32 (1): 34-38

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