scholarly journals Clinical Symptoms of Patient with Heart Failure in Dr. Soetomo General Hospital: A Descriptive Study

2021 ◽  
Vol 12 (2) ◽  
pp. 61
Author(s):  
Niki Kusuma Bangsa ◽  
Rochmad Romdoni ◽  
Subagyo Subagyo
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Heart Failure ◽  
Cardiovascular Disease ◽  
Risk Factor ◽  
General Hospital ◽  
Clinical Symptoms ◽  
Smoking Status ◽  
Common Symptom ◽  
History Of

Introduction: Heart failure (HF) has emerged as a cardiovascular disease with high prevalence in developing countries. The highest number was expected to increase over the next few decades. Moreover, most people with HF do not show specific symptoms earlier, thus death often occurs. This study was undertaken to give an insight into the clinical symptoms and risk factors of HF.Methods: This cross-sectional study utilized medical records from Dr. Soetomo General Hospital between 6 months (July-December 2016). Eligibility criteria included female patients diagnosed with HF at the hospital with a classification of NYHA I-IV. Risk factors data from the participants such as hypertension, diabetes mellitus, dyslipidemia, body mass index (BMI), smoking status, and history of cardiovascular disease were collected. Clinical symptoms were reported descriptively.Results: From 84 patients admitted with HF in the hospital from July until December 2016, 53 were males (63.1%). In all groups, hypertension (35.6%) was the highest prevalence risk factor, followed by diabetes mellitus (25.3%), and a history of cardiovascular disease (17.2%). In this study, the most common symptom was shortness of breathing, contributing to 72.6%, followed by chest pain (10.7%), and body weakness (6%).Conclusion: This study concluded that most of the respondents were male, aged 46-65 years old. The highest risk factor that contribute to an HF was hypertension. The most common symptom in patients with HF in the hospital was shortness of breathing. Studies further emphasize the need for primordial prevention related to symptoms and risk factors of HF. 

scholarly journals Incidence and risk factors for recurrent cardiovascular disease in middle-eastern adults: a retrospective study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Romona D. Govender ◽  
Saif Al-Shamsi ◽  
Elpidoforos S. Soteriades ◽  
Dybesh Regmi
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Cardiovascular Disease ◽  
Incidence Rate ◽  
United Arab Emirates ◽  
Cox Proportional Hazards ◽  
Cvd Risk ◽  
Female Sex ◽  
Increased Risk ◽  
History Of

Abstract Background Individuals with established cardiovascular disease (CVD) and risk factors such as age, smoking, hypertension, and diabetes mellitus are at an increased risk of recurrent cardiovascular events and death. The incidence rate of recurrent CVD events varies between countries and populations. The United Arab Emirates (UAE) has one of the highest age-standardized death rates for CVD worldwide. The aim of our study was to estimate the incidence rates and determine the predictors of recurrent CVD events among UAE nationals. Methods We investigated an outpatient-based cohort of patients with a history of CVD visiting Tawam Hospital between April 1, 2008 and December 31, 2008. They were followed-up until July 31, 2018. Univariable and multivariable Cox proportional hazards regression models were used to determine the association between major CVD risk factors and the risk of CVD recurrence. Results A total of 216 patients (167 males, 49 females) with a history of CVD were included. They were followed for a median (interquartile range) of 8.1 (5.5–9.3) years, with a total of 1184 patient-years of follow-up. The overall incidence rate of recurrent CVD events was 92.1 per 1000 patient-years. The 8-year cumulative incidence was 73.7%. Age, female sex, and diabetes mellitus were significant predictors of recurrent CVD events, where females had a 1.96 times higher risk of recurrent CVD events than males. Conclusion Significant predictors of recurrent CVD events are older age, female sex, and diabetes mellitus. The incidence rate of recurrent CVD events was 92.1 per 1000 patient-years. Preventive measures, based on international guidelines for CVD management, may improve CVD morbidity and mortality in the UAE population.

Sex difference in types and distribution of risk factors in ischemic and hemorrhagic stroke

2017 ◽  
Vol 13 (1) ◽  
pp. 83-86 ◽  
Author(s):  
Alijan A Ahangar ◽  
Payam Saadat ◽  
Behzad Heidari ◽  
Seyedeh T Taheri ◽  
Shayan Alijanpour
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Cardiovascular Disease ◽  
Risk Factor ◽  
Ischemic Stroke ◽  
Sex Difference ◽  
Cause Of Death ◽  
Associated Factors ◽  
Hemorrhagic Stroke ◽  
Age Group

Background Stroke is the second leading cause of death worldwide and is associated with several risk factors with variable risk factor distribution by population. We report the types and frequency of the associated factors of stroke in north Iran. Methods Consecutive patients with stroke were recruited from 2014 to 2015. The two groups of ischemic and hemorrhagic stroke were compared with respect to age, sex, the prevalence, and distribution of the risk factors. Results Among 230 patients (84.3% ischemic stroke) with mean age of 61.2 years, hypertension (73%), diabetes mellitus (53%), cardiovascular disease (51%), and dyslipidemia (47%) were the most frequent risk factors. Hypertension was significantly more prevalent in males compared with females (88% vs. 60%, OR = 4.91, 95% CI: 2.48–9.71). Hypertension, smoking, and opioid consumption were associated with hemorrhagic stroke. Dyslipidemia was significantly higher in ischemic stroke (OR = 2.65, 95% CI: 1.21–5.8). Overall, 84.3% of stroke occurred in patients aged >50 years (92.8% of women vs. 74.5% of the men, OR = 4.43, 95% CI: 1.93–10.16, p = 0.001). Conclusion Stroke was more prevalent in females; hypertension was more prevalent in males. In the age group less than 50 years old, stroke is more prevalent in men.

scholarly journals Risk Factor Related to Mortality of Diabetic Ketoacidosis Patients in Dr. Soetomo General Hospital Surabaya

2020 ◽  
Vol 11 (1) ◽  
pp. 36
Author(s):  
Alviano Satria Wibawa ◽  
Hermina Novida ◽  
Muhammad Faizi ◽  
Deasy Ardiany
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Diabetic Ketoacidosis ◽  
General Hospital ◽  
Developed Countries ◽  
Chi Square ◽  
High Blood Glucose ◽  
Electrolyte Disturbances ◽  
Chi Square Test ◽  
History Of

Introduction: Diabetic ketoacidosis (DKA) is a complication of diabetes mellitus which has a high risk of mortality. Mortality in DKA patients in developed countries is less than 5%, some other sources mention 5-10%, 2-10%, or 9-10%. Mortality events at clinics with simple facilities and elderly patients can reach 25-50%. The mortality rate of DKA patients is generally higher in infection conditions, especially in developing countries and in septic patients. Several factors such as age, sex, and high blood glucose can increase mortality risk of DKA patients. Other risk factors such as history of discontinued insulin therapy, impaired bicarbonate levels, pH, and increased leukocytes of DKA patients due to infection, abnormal albumin levels, electrolyte disturbances, and Serum Creatinine (SK) were thought to affect mortality of DKA patients. The purpose of this study was to determine the risk factors associated with mortality of DKA patients in Dr. Soetomo General Hospital Surabaya. Methods: The method used in this study was observational analytic involving 63 adult patients diagnosed with DKA with analysis using Chi-Square test. Results: From 63 patients included in this study, 37 patients diagnosed with DKA died and 26 patients lived. In a multivariate analysis, DKA severity with p = 0.001 (p < 0.005) was identified as having a relationship with mortality of DKA patients Dr. Soetomo General Hospital Surabaya. Conclusion: Severity is the only risk factor associated with mortality of DKA patients in Dr. Soetomo General Hospital Surabaya.

Risk factors for cardiovascular disease

2018 ◽  
Author(s):  
Amitava Banerjee ◽  
Kaleab Asrress
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Cardiovascular Disease ◽  
Family History ◽  
Cardiovascular Diseases ◽  
Epidemiologic Studies ◽  
Individual Factors ◽  
History Of ◽  
Novel Risk Factors ◽  
Traditional Risk Factors

The most prevalent cardiovascular diseases (CVDs) are atherosclerotic, affecting all arterial territories. Epidemiologic studies such as the Framingham and INTERHEART studies have firmly established the commonest or ‘traditional’ risk factors for CVD; namely, smoking, hypertension, diabetes mellitus, hypercholesterolaemia, and a family history of CVD. The ‘risk-factors approach’ to CVD looks at these factors, individually and in combination, in the causation of disease. The complex causation pathways involve interplay of individual factors, whether genetic or environmental. More recently, there has been increasing interest in ‘epigenetics’ or the way in which the environment interacts with genes in the process underlying CVD. This chapter presents an analysis of the traditional and novel risk factors for CVD.

P3818Association between e-cigarette use and myocardial infarction: analysis of two large population-representative studies in USA

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
K Farsalinos ◽  
V Voudris ◽  
R Niaura
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Cardiovascular Disease ◽  
Risk Factor ◽  
Smoking Status ◽  
Large Population ◽  
Public Health Issue ◽  
Behavioral Risk ◽  
Cigarette Use ◽  
Former Smokers

Abstract Background Smoking is a major risk factor for cardiovascular disease. E-cigarettes are an emerging and controversial public health issue. It is unknown how e-cigarette use affects cardiovascular disease. Purpose In this study, we examine the association between e-cigarette use and myocardial infarction (MI) in two large population-representative studies in USA. Methods The study analyzed the 2016 and 2017 (pooled) National Health Interview Survey (NHIS, N=59,770) and the 2017 Behavioral Risk Factor Surveillance System survey (BRFSS, N=450,016). Proportions (95% CI) were calculated and logistic regression analyses were performed to identify the association between e-cigarette use and MI. Independent variables in the models were demographics, e-cigarette use (daily, some days, former, never), smoking status (daily, some days, former, never) and risk factors for MI (hyperlipidemia, hypertension, diabetes, BMI). Exercise was also introduced as an independent variable, where available (BRFSS only). Results In NHIS, 90.9% (88.8–93.0%) of daily e-cigarette users were current or former smokers. The respective proportion in BRFSS was 86.3% (85.3–87.3%). The majority of some days and former e-cigarette users (≥70%) were also current or former smokers in both surveys. MI was reported by 4.2% (2.7–5.7%) of daily vs. 3.2% (3.0–3.4%) of never e-cigarette users in NHIS (P=NS), and 4.2% (3.5–6.1%) vs. 4.4% (4.2–4.5%) in BRFSS (P=NS), respectively. In NHIS, daily e-cigarette use was not associated with MI (OR: 1.59, 95% CI: 0.97–2.61, P=0.067). Some days and former e-cigarette use were also not associated with MI. In the BRFSS, daily e-cigarette use was not associated with MI (OR: 1.40, 95% CI: 0.96–2.04, P=0.077), but some days (OR: 1.51, 95% CI: 1.09–2.11, P=0.014) and former e-cigarette use (OR: 1.14, 95% CI: 1.02–1.28, P=0.021) were associated with MI. In both surveys, all patterns of smoking (daily, some days and former smoking) and established risk factors (hypertension, hyperlipidemia, diabetes) were consistently and strongly associated with MI. ORs for MI Conclusion E-cigarettes are predominantly used by current and former smokers. Daily e-cigarette use was not associated with having had an MI, while inconsistent and seemingly paradoxical associations are observed for some days and former e-cigarette use. Long-term epidemiological studies are needed to examine how e-cigarette use affects the risk of MI, considering the complex interactions between smoking and e-cigarette use. Acknowledgement/Funding None

scholarly journals Screening of Hemoglobin A1c in Gestational Diabetes among women attending metabolic clinic at a tertiary care hospital in Uttar Pradesh

2019 ◽  
Vol 10 (2) ◽  
pp. 26-30
Author(s):  
Vivek Sinha ◽  
Poonam Kachhawa
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Risk Factor ◽  
Family History ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
P Value ◽  
Close Monitoring ◽  
History Of

Background: Gestational diabetes mellitus (GDM) is a common medical condition that complicates pregnancies..Gestational diabetes mellitus (GDM) is a diabetic metabolic disorder that occurs in 4% of all pregnant women and 14% of ethnic groups with more prevalence of type II diabetes. It can be defined as increased or abnormal insulin resistance, decreased insulin sensitivity or glucose intolerance with first diagnosis during pregnancy. Aims and Objectives: The purpose of this study was to evaluate the diagnostic screening value of the HbA1c, prevalence of GDM and associated risk factors. Materials and Methods: The study was conducted at the metabolic clinic; in the department of Biochemistry located at SIMS, Hapur. A semi-structured pretested questionnaire was used for data collection. Following the DIPSI guidelines, patients with plasma glucose values >140 mg/dl were labeled as GDM. Statistical methods used were OR (CI95%), percentage, Chi square. Results: Out of 500, 6.72% had GDM. Among all GDM patients, 64.71% had age more than 30 years, 70.59% had BMI more than 25, 41.18% had gravida more than 3 and p- value was significant with regard to age and BMI. P value was found to be significant for risk factors namely positive family history of Diabetes Mellitus, history of big baby and presence of more than one risk factor. Conclusion: GDM is associated with high BMI, early pregnancy loss, family history of DM and previous history of big baby and there could be more than one risk factor. Thus universal screening followed by close monitoring of the pregnant women for early detection of GDM may help improving maternal and fetal outcomes.

Hyperlipidemia Screening Is Worthwhile

PEDIATRICS ◽  
1980 ◽  
Vol 65 (3) ◽  
pp. 674-674
Author(s):  
Peter C. Freis
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Risk Factor ◽  
Family History ◽  
Pediatric Patients ◽  
Coronary Risk Factors ◽  
Coronary Risk ◽  
Primary Physician ◽  
Premature Cardiovascular Disease ◽  
History Of

Neil A. Holtzman, MD (Hyperlipidemia screening: A search for heffalumps. Pediatrics 64:270, 1979) writes persuasively discouraging hypercholesterolemia screening and therapy in childhood. His commentary would easily dissuade the primary physician from appropriate intervention on his pediatric patients' behalf to minimize every coronary risk factor. The author unfortunately pays little attention to the children who would benefit most from hypercholesterol screening, those with a family history of premature cardiovascular disease. This is misleading. We must redirect our thinking to a continued effort to seek and minimize more appropriately coronary risk factors.

scholarly journals Utilizing diabetes mellitus risk assessment tool in screening of hemodialysis patients at risk of diabetes mellitus

2021 ◽  
Vol 2021 (2) ◽  
Author(s):  
Osama Azoubi ◽  
Tarek Abdullatif ◽  
Abdullah Hamad ◽  
Tarek Fouda ◽  
Sahar M Ismail ◽  
...  
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Risk Factors ◽  
Risk Assessment ◽  
Risk Factor ◽  
Assessment Tool ◽  
Risk Group ◽  
Dialysis Patients ◽  
Group Score ◽  
History Of

Background: Hamad General Hospital is the main provider of hemodialysis (HD) in Qatar, for approximately 650 patients per year. Over 60% of these patients have Diabetes Mellitus (DM) and 55% of them suffer from end stage renal disease (ESRD). 2% of ESRD patients develop DM after their first year of dialysis. The aims of this quality improvement study were early DM detection, risk factors modifications, and reduction of diabetes complications in our patients. Methods: A risk assessment tool was adapted to identify the risk level of HD patients to develop DM. They were screened to determine their risk score across 8 categories. Six categories (gender, history of gestational diabetes, family history of high blood pressure, diabetes, physical activity and smoking) were scored 0 to 1, age was scored 0 to 3, and relationship between weight and height scored 1 to 3. (Overall score range: 1-12). Patients were classified into two groups: a low-risk group (score < 5) and a high-risk group (score ≥ 5). Patients were referred to different medical specialties for further management according to the risk factor and a lifestyle modification management plan was set individually. Results: 189 non-diabetic dialysis patients were screened in the first quarter of 2020, their mean age was 51 years-old, and 69% were male. Forty-three percent of patients were found to be at high risk of developing DM. The most important risk factors were family history (55%), obesity (40%), age >60 years (32%), low physical activity (14%), and smoking (11%). Thirty-seven percent of patients were referred to the obesity clinic, 10% to the smoking cessation clinic, 5% to physiotherapy, and 100% of patients were referred to the multidisciplinary care. Conclusion: Screening for diabetes is pivotal for early detection and risk factor modification in dialysis patients. We recommend quarterly data assessment and evaluation so patients can be managed according to the findings.

scholarly journals PREVALENCE AND RISK FACTORS OF DIABETES MELLITUS IN TUBERCULOSIS PATIENT AT PATRANG DISTRICT INDONESIA

2019 ◽  
Vol 7 (4) ◽  
pp. 79
Author(s):  
Hasri Yulia Sasmita ◽  
Irma Prasetyowati ◽  
Pudjo Wahjudi
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Family History ◽  
Central Obesity ◽  
Smoking Status ◽  
Sampling Technique ◽  
Tuberculosis Patient ◽  
P Value ◽  
Cross Sectional ◽  
History Of

Tuberculosis (TB) is one of cause of death in infectious disease domain. The control of TB is complicated because the inclination of case numbers people with Diabetes Mellitus. Diabetes Mellitus (DM) is an important risk factor for TB development, with prove that more than ten percent of TB patient is DM patient. People with DM have risk three times more likely to suffer from TB than people without DM. The results of TB treatment with comorbid DM will be easier to be failed. Puskesmas Patrang have the highest bacteriologically confirmed BTA TB cases and DM cases in Jember during 2014 until 2016. The aim of this research is to know the DM prevalence in TB patients and to analyze the correlation between DM risk factors in TB patient to TB-DM incidence at Puskesmas Patrang Jember in 2017. The research uses observasional analytic with cross sectional approach. The sampling technique uses simple random sampling with 47 samples. The independent variables include respondent characteristics (age, sex, type of TB, medication category, and family history of DM), central obesity and smoking behavior. While the dependent variable is the DM status. The result shows that the prevelance of DM in TB patients at Puskesmas Patrang Jember regency is 23,4%. Factors associated with TB-DM are age (p-value = 0,012), family history of DM (p-value = 0,003), and smoking status (p-value = 0,035). Factors that do not associated with TB-DM are sex (p-value = 0,731), type of TB (p-value = 0,170), treatment category of TB (p-value = 0,560), central obesity (p-value = 0,435), the number of cigarette (p-value = 1,000) and smoking duration (p-value = 1,000). The most important factor of TB-DM is family history of DM that 10,850 times higher of getting TB-DM than patients without family history of DM.

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