Risk factors and angiographic profile of coronary slow flow (CSF) phenomenon in North Indian population: An observational study

Background: As variability in the clinical profile of dementia subtypes had been reported with regional differences across the world, we conducted a retrospective hospital-based study in a North Indian population. Methods: We retrieved patient records from 2007 to 2014 for details of clinical evaluation, diagnosis, neuroimaging, biochemical investigations, and follow-up of 1,876 patients with dementia (PwD), and the data were analyzed using descriptive statistics. Results: Of the total PwD, Alzheimer disease (AD) accounted for 30% followed by vascular dementia (VaD) 26%, mixed dementia (MD) 21%, Parkinson-related dementia 11%, frontotemporal dementia (FTD) 7%, and infective dementia 5%. Of all PwD excluding the infective group (n = 1,777), 63% were men, 39% were from rural areas, 87% had behavioral abnormalities along with cognitive deficits, and 73% had impaired ADLs. Among dementia subtypes, a positive family history, cardiovascular and metabolic risk factors, and behavioral abnormalities were found to be distributed. However, there existed a predominance of specific behavioral pattern in each subtype. The mean duration of follow-up varied from 2.9 ± 2.3 (VaD) to 3.6 ± 2.1 (AD) and greater than 30% were found to be stable on treatment (except in dementia with Lewy body). Conclusions: This large hospital-based study provides a distribution pattern and clinical spectrum of dementia subtypes in a North Indian population.

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P-102 Risk factors of PAD in asymptomatic Type 2 diabetes patients in the north Indian population

Diabetes Research and Clinical Practice ◽

10.1016/s0168-8227(08)70873-8 ◽

2008 ◽

Vol 79 ◽

pp. S93

Author(s):

Rohit Kapoor ◽

Atul Kapoor

Keyword(s):

Risk Factors ◽

Type 2 Diabetes ◽

Indian Population ◽

North Indian Population ◽

The North ◽

Diabetes Patients

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Posterior Circulation Ischemic Stroke—Clinical Characteristics, Risk Factors, and Subtypes in a North Indian Population

The Neurohospitalist ◽

10.1177/1941874412438902 ◽

2012 ◽

Vol 2 (2) ◽

pp. 46-50 ◽

Cited By ~ 7

Author(s):

Manmohan Mehndiratta ◽

Sanjay Pandey ◽

Rajeev Nayak ◽

Anwar Alam

Keyword(s):

Risk Factors ◽

Ischemic Stroke ◽

Clinical Characteristics ◽

Indian Population ◽

Posterior Circulation ◽

North Indian Population

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Evaluation of prevalence, clinical presentation and risk factors of coronary slow flow phenomenon: a single-center study

International Journal of Research in Medical Sciences ◽

10.18203/2320-6012.ijrms20211359 ◽

2021 ◽

Vol 9 (4) ◽

pp. 1106

Author(s):

Shaileshkumar Patil ◽

Achyut Sarkar ◽

Manisha Patil ◽

Imran Ahmed ◽

Arindam Pande

Keyword(s):

Risk Factors ◽

Coronary Artery ◽

Unstable Angina ◽

Clinical Presentation ◽

Slow Flow ◽

Flow Phenomenon ◽

Vessel Disease ◽

Coronary Slow Flow ◽

Group 3 ◽

Coronary Slow Flow Phenomenon

Background: The coronary slow flow phenomenon has been revealed to be associated with life-threatening arrhythmias and sudden cardiac death. Currently, clinical features and risk factors of patients with the coronary slow flow phenomenon are incompletely understood. The present study aimed to evaluate the prevalence, clinical presentation, risk factors and evidence of ischemia in patients with coronary slow flow.Methods: This observational study was conducted at a tertiary-care center in India between February 2013 and August 2014. A total of 60 consecutive patients whose coronary angiogram revealed coronary slow flow were included in the study. According to the number of blood vessels involved, patients were divided into group-1 (29 patients with single-vessel disease), group-2 (22 patients with double-vessel disease), and group-3 (9 patients with triple-vessel disease). Clinical presentation and risk factors were compared among groups.Results: Prevalence of coronary slow flow was 2.97% with greater prevalence amongst male patients (p=0.030). Unstable angina was the most common presentation (p=0.030). Among the traditional risk factors, there was a significantly higher prevalence of smoking (p=0.036), family history of coronary artery disease (p=0.049) and dyslipidemia (p=0.045) in group-3 patients compared to other groups. Among all groups, triglycerides (p=0.020), low-density lipoprotein cholesterol (p=0.046), highly sensitive C-reactive protein (p=0.007) levels, homocysteine (p=0.481), and patterns of ECG abnormalities were significantly different between the three groups. In addition, mean frame counts with coronary slow flow phenomenon in left anterior descending artery (p<0.001), left circumflex artery (p<0.001) and right coronary artery (p=0.005) increased significantly with increase in number of vessels involved.Conclusions: Coronary slow flow was relatively common among patients who presented with unstable angina. Male sex, smoking, and dyslipidemia can be considered as independent risk factors for this phenomenon.

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Cross-sectional, observational study of anterior segment parameters using anterior segment optical coherence tomography in North Indian Population

Annals of African Medicine ◽

10.4103/aam.aam_40_16 ◽

2017 ◽

Vol 16 (3) ◽

pp. 131

Author(s):

LatikaKhatri Dalal ◽

Renu Dhasmana ◽

Amit Maitreya

Keyword(s):

Optical Coherence Tomography ◽

Observational Study ◽

Indian Population ◽

Anterior Segment ◽

Optical Coherence ◽

North Indian Population ◽

Cross Sectional ◽

Anterior Segment Parameters

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Predictors of Coronary Slow Flow Phenomenon: A Retrospective Study

Indian Journal of Cardiovascular Disease in Women WINCARS ◽

10.1055/s-0039-1696867 ◽

2019 ◽

Vol 04 (02) ◽

pp. 085-091

Author(s):

Satish Kumar Rao V. ◽

Indrani Garre

Keyword(s):

Risk Factors ◽

Uric Acid ◽

Total Cholesterol ◽

Inflammatory Markers ◽

Coronary Flow ◽

Control Group ◽

Slow Flow ◽

Lymphocyte Ratio ◽

Coronary Slow Flow ◽

Hs Crp

Abstract Aim This study aimed to analyze laboratory predictors, angiographic profile, clinical profile, and risk factors for coronary slow flow (CSF) phenomenon without coronary obstructive lesion in patients who came for a coronary angiogram. Materials and Methods The case-control study consisted of patients who underwent coronary angiography and were divided into two groups: patients with coronary slow flow (case group, n = 100) and patients with the normal coronary flow (control group, n = 100). Coronary flow was studied using corrected thrombolysis in myocardial infarction frame count (CTFC). The slow flow was defined as CTFC beyond 2 standard deviations from the normal published range. Risk factors including age, sex, diabetes mellitus (DM), hypertension, dyslipidemia, smoking, body mass index (BMI), hematological and biochemical parameters (complete blood picture, platelet count, total and differential leucocyte count, platelet-to-lymphocyte ratio [PLR], neutrophil-to-lymphocyte ratio [NLR] and lipid profile) were assessed. In both groups, clinical information was collected, and laboratory parameters were measured and compared. Results Patients with CSF were more likely to be male and active smokers. Total cholesterol, triglyceride, BMI, and DM were more commonly seen in the CSF group compared with the control group. Inflammatory markers like uric acid (p = 0.03) and high-sensitivity C-reactive protein (Hs-CRP) (p = 0.000) were found to be statistically significant. Hematocrit (p = 0.023), NLR (p = 0.001), total cholesterol (p = 0.000), triglycerides (p = 0.000), and BMI (p = 0.000) were statistically significant. PLR has the tendency of statistically significance (p = 0.059) BMI, total cholesterol, triglycerides, and Hs-CRP were strong predictors for CSF. Conclusion CSF was common in males, smokers, DM patients, and it was associated with high NLR, uric acid, and Hs-CRP levels. The independent predictor of CSF was BMI, total cholesterol, triglycerides, and Hs-CRP levels. These findings provide an impetus for additional studies to confirm the role of other inflammatory markers in CSF patients and treatment strategies depending on that.

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