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1.
J Cardiovasc Thorac Res ; 13(4): 277-284, 2021.
Article in English | MEDLINE | ID: mdl-35047132

ABSTRACT

Introduction: Women perform worse after acute coronary syndrome (ACS) than men. The reason for these differences is unclear. The aim was to ascertain gender differences in the culprit plaque characteristics in ACS. Methods: Patients with ACS undergoing percutaneous coronary intervention for the culprit vessel underwent optical coherence tomography (OCT) imaging. Culprit plaque was identified as lipid rich,fibrous, and calcific plaque. Mechanisms underlying ACS are classified as plaque rupture, erosion,or calcified nodule. A lipid rich plaque along with thin-cap fibroatheroma (TCFA) was a vulnerable plaque. Plaque microstructures including cholesterol crystals, macrophages, and microvessels were noted. Results: A total of 52 patients were enrolled (men=29 and women=23). Baseline demographic features were similar in both the groups except men largely were current smokers (P <0.001). Plaque morphology,men vs. women: lipid rich 88.0% vs. 90.5%; fibrous 4% vs 0%; calcific 8.0% vs. 9.5% (P = 0.64). Of the ACS mechanisms in males versus females; plaque rupture (76.9 % vs. 50 %), plaque erosion (15.4 % vs.40 %) and calcified nodule (7.7 % vs. 10 %) was noted (P = 0.139). Fibrous cap thickness was (50.19 ±11.17 vs. 49.00 ± 10.71 mm, P = 0.71) and thin-cap fibroatheroma (96.2% vs. 95.0%, P = 1.0) in men and women respectively. Likewise no significant difference in presence of macrophages (42.3 % vs. 30%, P = 0.76), microvessels (73.1% vs. 60 %, P = 0.52) and cholesterol crystals (92.3% vs. 80%, P = 0.38). Conclusion: No significant gender-based in-vivo differences could be discerned in ACS patients' culprit plaques morphology, characteristics, and underlying mechanisms.

2.
J Ren Nutr ; 19(4): 275-82, 2009 Jul.
Article in English | MEDLINE | ID: mdl-19539182

ABSTRACT

OBJECTIVE: Malnutrition is widely prevalent in patients with chronic kidney disease. Our primary objective was to assess the utility of subjective global assessment (SGA) as an indicator of malnutrition in patients with diabetic nephropathy. DESIGN: This pilot study evaluated the extent of malnutrition, using a combination of SGA, anthropometric, and biochemical parameters. SETTING: Malnutrition, although commonly noticed in patients during routine clinical observation of diabetic nephropathy patients, has not been estimated. Moreover, there is no single "gold standard" method to identify malnutrition. PATIENTS: The SGA method was performed to evaluate nutritional status in 40 patients with diabetic nephropathy (23 men and 17 women) examined consecutively in the out patient department of Government Medical College and Hospital (Chandigarh, India). Patients with kidney disease not attributable to diabetes, and with conditions leading to acute morbidity such as infections, elevated body temperature, respiratory and gastrointestinal distress, or wounds, were excluded. MAIN OUTCOME MEASURES: Anthropometric parameters such as body mass index, triceps skinfold (TSF), biceps skinfold (BSF), midarm circumference (MAC), and midarm muscle circumference (MAMC), along with biochemical parameters such as hemoglobin, fasting blood sugar, serum albumin, and lipid profile, were measured. RESULTS: Malnutrition was identified in 63% of patients: mild to moderate in 48%, and severe in 15%. The measured parameters showed no significant gender-based differences. In SGA grade C patients (severely malnourished), TSF, MAC, and MAMC were significantly reduced. Biochemical parameters did not show any significant change across nutritional grades, except for hemoglobin, which showed a significant reduction with advanced malnutrition. CONCLUSIONS: Nutritional status as determined by SGA is a useful and reliable index for identifying patients at risk for malnutrition. Our data confirm that a high degree of malnutrition was prevalent in patients with diabetic nephropathy, as shown by anthropometric and biochemical variables. Therefore, we suggest that these parameters be integrated in regular assessment to determine malnutrition.


Subject(s)
Anthropometry , Diabetic Nephropathies/complications , Diabetic Nephropathies/physiopathology , Malnutrition/diagnosis , Malnutrition/epidemiology , Adult , Aged , Blood Glucose/analysis , Body Mass Index , Diabetic Nephropathies/blood , Female , Hemoglobins/analysis , Humans , Lipids/blood , Male , Middle Aged , Nutritional Status , Serum Albumin/analysis , Skinfold Thickness
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