scholarly journals Multiple risk factors for diabetes mellitus in patients with chronic pancreatitis: A multicentre study of 1117 cases

2020 ◽  
Vol 8 (4) ◽  
pp. 453-461 ◽  
Author(s):  
Søren S Olesen ◽  
Jakob L Poulsen ◽  
Srdan Novovic ◽  
Camilla Nøjgaard ◽  
Evangelos Kalaitzakis ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Chronic Pancreatitis ◽  
Multicentre Study ◽  
Multiple Risk Factors ◽  
Multiple Risk

scholarly journals A study of the risk factors of various arrhythmias in patients with coronary heart disease

2017 ◽  
Vol 4 (5) ◽  
pp. 1369
Author(s):  
Puneet Patil ◽  
Aamera Sait ◽  
Dilip Ratan Patil
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Statistical Significance ◽  
Tertiary Care ◽  
P Value ◽  
Care Hospital ◽  
Av Block ◽  
Cross Sectional ◽  
Multiple Risk Factors ◽  
Multiple Risk

Background: Complications like arrhythmias, cardiac failure, cerebrovascular and mechanical complications. Among these complications, arrhythmias are the most common complication of acute myocardial infarction. The objective of this study was to study the risk factors of various arrhythmias in patients with coronary heart disease.Methods: Present study was a hospital based cross sectional study conducted at department of General Medicine of a tertiary care hospital for a period of two years among 102 patients. Detailed history, clinical examination, investigation was done. All patients were followed for one year to assess the outcome among them. All data was entered in the Microsoft Excel worksheet and analyzed using proportions.Results: Arrhythmias were more common with low ejection fraction (72.73%). The overall mortality was 7.84%. Ventricular fibrillation was seen in 50% of the patients who did not receive thrombolytic therapy. First-degree AV block and second-degree AV block were present in 6.25% and 7.50% respectively and did not affect the mortality while complete heart block was present in 8.75% and mortality rate of 28.57% with right ventricular involvement. Risk factors like smoking, alcohol, hypertension, diabetes mellitus and obesity had higher incidence of arrhythmias but was not found to have any statistical significance (p >0.05). However, patients having multiple risk factors strongly associated with the high mortality in statistically significant manner (p value 0.0006).Conclusions: Patients with risk factors like smoking, alcohol, hypertension, diabetes mellitus and obesity had higher incidence of arrhythmias. Multiple risk factors increase the incidence of both arrhythmias and mortality (67% mortality with 4 risk factors and 75% mortality with 5 risk factors).

scholarly journals Relationship Between Number of Multiple Risk Factors and Coronary Artery Disease Risk With and Without Diabetes Mellitus

2019 ◽  
Vol 104 (11) ◽  
pp. 5084-5090 ◽  
Author(s):  
Mayuko Yamada-Harada ◽  
Kazuya Fujihara ◽  
Taeko Osawa ◽  
Masahiko Yamamoto ◽  
Masanori Kaneko ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Current Smoking ◽  
Composite Control ◽  
Multiple Risk Factors ◽  
Multiple Risk ◽  
Artery Disease ◽  
Cad Risk

Abstract Purpose To determine the degree of control of multiple risk factors under real-world conditions for coronary artery disease (CAD) according to the presence or absence of diabetes mellitus (DM) and to determine whether reaching multifactorial targets for blood pressure (BP), low-density lipoprotein-cholesterol (LDL-C), HbA1c, and current smoking is associated with lower risks for CAD. Methods We investigated the effects on subsequent CAD of the number of controlled risk factors among BP, LDL-C, HbA1c, and current smoking in a prospective cohort study using a nationwide claims database of 220,894 individuals in Japan. Cox regression examined risks over a 4.8-year follow-up. Results The largest percentage of participants had two risk factors at target in patients with DM (39.6%) and subjects without DM (36.4%). Compared with those who had two targets achieved, the risks of CAD among those who had any one and no target achieved were two and four times greater, respectively, regardless of the presence of DM. The effect of composite control was sufficient to bring CAD risk in patients with DM below that for subjects without DM with any two targets achieved, whereas the risk of CAD in the DM group with all four risk factors uncontrolled was 9.4 times more than in the non-DM group who had achieved two targets. Conclusions These findings show that composite control of modifiable risk factors has a large effect in patients with and without DM. The effect was sufficient to bring CAD risk in patients with DM below that in the non-DM group who had two targets achieved.

The relative and interactive impact of multiple risk factors in schizophrenia spectrum disorders: a combined register-based and clinical twin study

2021 ◽  
pp. 1-11
Author(s):  
C. Lemvigh ◽  
R. Brouwer ◽  
R. Hilker ◽  
S. Anhøj ◽  
L. Baandrup ◽  
...  
Keyword(s):  
Risk Factors ◽  
Environmental Factors ◽  
Childhood Trauma ◽  
Cannabis Use ◽  
Paternal Age ◽  
Interactive Effects ◽  
Polygenic Risk Score ◽  
Multiple Risk Factors ◽  
Schizophrenia Spectrum ◽  
Multiple Risk

Abstract Background Research has yielded evidence for genetic and environmental factors influencing the risk of schizophrenia. Numerous environmental factors have been identified; however, the individual effects are small. The additive and interactive effects of multiple risk factors are not well elucidated. Twin pairs discordant for schizophrenia offer a unique opportunity to identify factors that differ between patients and unaffected co-twins, who are perfectly matched for age, sex and genetic background. Methods Register data were combined with clinical data for 216 twins including monozygotic (MZ) and dizygotic (DZ) proband pairs (one or both twins having a schizophrenia spectrum diagnosis) and MZ/DZ healthy control (HC) pairs. Logistic regression models were applied to predict (1) illness vulnerability (being a proband v. HC pair) and (2) illness status (being the patient v. unaffected co-twin). Risk factors included: A polygenic risk score (PRS) for schizophrenia, birth complications, birth weight, Apgar scores, paternal age, maternal smoking, season of birth, parental socioeconomic status, urbanicity, childhood trauma, estimated premorbid intelligence and cannabis. Results The PRS [odds ratio (OR) 1.6 (1.1–2.3)], childhood trauma [OR 4.5 (2.3–8.8)], and regular cannabis use [OR 8.3 (2.1–32.7)] independently predicted illness vulnerability as did an interaction between childhood trauma and cannabis use [OR 0.17 (0.03–0.9)]. Only regular cannabis use predicted having a schizophrenia spectrum diagnosis between patients and unaffected co-twins [OR 3.3 (1.1–10.4)]. Conclusion The findings suggest that several risk factors contribute to increasing schizophrenia spectrum vulnerability. Moreover, cannabis, a potentially completely avoidable environmental risk factor, seems to play a substantial role in schizophrenia pathology.

Multiple Risk Factors Before Pediatric Cardiac Transplantation Are Associated With Increased Graft Loss

2011 ◽  
Vol 33 (1) ◽  
pp. 49-54 ◽  
Author(s):  
Scott R. Auerbach ◽  
Marc E. Richmond ◽  
Jonathan M. Chen ◽  
Ralph S. Mosca ◽  
Jan M. Quaegebeur ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiac Transplantation ◽  
Graft Loss ◽  
Multiple Risk Factors ◽  
Multiple Risk

Abstract P672: Black White Disparity in Multiple Risk Factors is Increased in Older Young Adults

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Prachi Mehndiratta ◽  
Kathleen Ryan ◽  
Adeolu Morawo ◽  
Seemant Chaturvedi ◽  
Carolyn A Cronin ◽  
...  
Keyword(s):  
Risk Factors ◽  
Young Adults ◽  
Stroke Risk ◽  
Reference Group ◽  
Population Based ◽  
Multiple Risk Factors ◽  
Stroke In Young Adults ◽  
Multiple Risk ◽  
The Relationship ◽  
Control Study

Background: Stroke in young adults constitutes 15-18% of all ischemic strokes. Vascular risk factors contribute to stroke risk in young adults particularly older young adults. Few studies have addressed Black White differences in risk, stratified by age. We evaluated the prevalence of risk factors in the younger young (less than 40 years) vs. the older young adults (40 and above). Methods: A population based case control study with 1034 cases and 1091 controls, ages 15-49 was used to investigate the relationship between risk factors (DM, HTN, Smoking and Obesity) and stroke. Groups were defined by the number of risk factors (RF) among cases and controls : no risk factors (ref group), one RF, two RF, three RF and four RF. Prevalence of risk factors was determined in the entire population and stratified by age, sex and race. Logistic regression was used to determine odds of stroke based on the number of risk factors compared to the reference group. Results: The percent of cases with three or more risk factors was compared in different subgroups: ages 15-39 vs. 40-49 was 8.4 vs. 21.6, women vs. men was 15.6 vs. 18.6 and White vs. Black was 12.3 vs. 22.7. Among cases 40 years and older, Blacks were 3 times more likely than Whites (5.9 vs. 2) to have four or more risk factors.Across all age, race and sex subgroups, the odds of having a stroke increased exponentially with an increase in the number of risk factors. Conclusion: Blacks are more likely to have multiple risk factors than Whites. This difference is accentuated in those 40 years and older. Targeting young adults with multiple risk factors for preventive interventions would address a root case of excess stroke risk especially among Blacks.

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