scholarly journals Predictors of Kidney Damage in Patients with Metabolic Syndrome

2017 ◽  
Vol 24 (2) ◽  
Author(s):  
Dara Kutsyk ◽  
Eugene Sklyarov
Keyword(s):  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Hydrogen Sulfide ◽  
Systolic Blood Pressure ◽  
Pearson Correlation ◽  
Venous Blood ◽  
Kidney Damage ◽  
Individual Values ◽  
Student’S T ◽  
The Individual

Metabolic syndrome is an epidemic of XXI century. Each of the components of metabolic syndrome (arterial hypertension, hyperglycemia or dyslipidemia) can be a risk factor for chronic kidney disease. However, it remains unknown what plays a key role in the progression of the disease.The objective of the research was to identify early detectors of kidney damage in patients with metabolic syndrome.Materials and methods. The study involved 70 patients with metabolic syndrome. In addition to standard examination methods, markers of endothelial disfunction (hydrogen sulfide and nitrogen monooxide) were measured in venous blood samples and the urine was tested for microalbuminuria. All the patients were divided into 3 groups according to the degree of albuminuria: normoalbuminuria, microalbuminuria and macroalbuminuria. To compare the indices between the groups, the Student’s t-test was used; to determine the relationship between the individual values, the Pearson correlation coefficient (r) was applied.Results. The indicator of systolic blood pressure was higher in patients with microalbuminuria compared to those with normoalbuminuria (163.4±14.4 mmHg, versus 153.0±17.7 mmHg; p<0.01). Hydrogen sulfide level was higher in patients with normoalbuminuria (66.8±7.2 µmol). There was a moderate positive correlation between systolic blood pressure and microalbuminuria (r=0.3804; p<0.01) and a moderate negative correlation between hydrogen sulfide and microalbuminuria (r=0.3404; p<0.01).Conclusions. We revealed a decrease in hydrogen sulfide level to 57.4±7.9 µmol in patients with metabolic syndrome. This may be an early predictor of kidney damage. 

Bioinformatics Study on Serum Triglyceride Levels for Analysis of a Potential Risk Factor Affecting Blood Pressure Variability

2019 ◽  
Vol 14 (5) ◽  
pp. 376-385 ◽  
Author(s):  
Lin Xu ◽  
Jiangming Huang ◽  
Zhe Zhang ◽  
Jian Qiu ◽  
Yan Guo ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Systolic Blood Pressure ◽  
Blood Pressure Variability ◽  
Partial Correlation ◽  
Pearson Correlation ◽  
Target Organ Damage ◽  
Serum Triglyceride ◽  
Hypertensive Patients ◽  
Group A ◽  
Group B

Objective: The purpose of this study was to establish whether Triglycerides (TGs) are related to Blood Pressure (BP) variability and whether controlling TG levels leads to better BP variability management and prevents Cardiovascular Disease (CVD). Methods: In this study, we enrolled 106 hypertensive patients and 80 non-hypertensive patients. Pearson correlation and partial correlation analyses were used to define the relationships between TG levels and BP variability in all subjects. Patients with hypertension were divided into two subgroups according to TG level: Group A (TG<1.7 mmol/L) and Group B (TG>=1.7 mmol/L). The heterogeneity between the two subgroups was compared using t tests and covariance analysis. Results: TG levels and BP variability were significantly different between the hypertensive and non-hypertensive patients. Two-tailed Pearson correlation tests showed that TG levels are positively associated with many BP variability measures in all subjects. After reducing other confounding factors, the partial correlation analysis revealed that TG levels are still related to the Standard Deviation (SD), Coefficient of Variation (CV) of nighttime systolic blood pressure and CV of nighttime diastolic blood pressure, respectively (each p<0.05). In the subgroups, group A had a lower SD of nighttime Systolic Blood Pressure (SBP_night_SD; 11.39±3.80 and 13.39±4.16, p=0.011), CV of nighttime systolic blood pressure (SBP_night_CV; 0.09±0.03 and 0.11±0.03, p=0.014) and average real variability of nighttime systolic blood pressure (SBP_night_ARV; 10.99±3.98 and 12.6±3.95, p=0.024) compared with group B, even after adjusting for age and other lipid indicators. Conclusion: TG levels are significantly associated with BP variability and hypertriglyceridemia, which affects blood pressure variability before causing target organ damage.

scholarly journals Bed-Based Ballistocardiography: Dataset and Ability to Track Cardiovascular Parameters

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 156
Author(s):  
Charles Carlson ◽  
Vanessa-Rose Turpin ◽  
Ahmad Suliman ◽  
Carl Ade ◽  
Steve Warren ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Stroke Volume ◽  
Systolic Blood Pressure ◽  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Health Assessment ◽  
Initial Study ◽  
Pearson Correlation Coefficient ◽  
Medical Systems ◽  
Cardiovascular Parameters

Background: The goal of this work was to create a sharable dataset of heart-driven signals, including ballistocardiograms (BCGs) and time-aligned electrocardiograms (ECGs), photoplethysmograms (PPGs), and blood pressure waveforms. Methods: A custom, bed-based ballistocardiographic system is described in detail. Affiliated cardiopulmonary signals are acquired using a GE Datex CardioCap 5 patient monitor (which collects ECG and PPG data) and a Finapres Medical Systems Finometer PRO (which provides continuous reconstructed brachial artery pressure waveforms and derived cardiovascular parameters). Results: Data were collected from 40 participants, 4 of whom had been or were currently diagnosed with a heart condition at the time they enrolled in the study. An investigation revealed that features extracted from a BCG could be used to track changes in systolic blood pressure (Pearson correlation coefficient of 0.54 +/− 0.15), dP/dtmax (Pearson correlation coefficient of 0.51 +/− 0.18), and stroke volume (Pearson correlation coefficient of 0.54 +/− 0.17). Conclusion: A collection of synchronized, heart-driven signals, including BCGs, ECGs, PPGs, and blood pressure waveforms, was acquired and made publicly available. An initial study indicated that bed-based ballistocardiography can be used to track beat-to-beat changes in systolic blood pressure and stroke volume. Significance: To the best of the authors’ knowledge, no other database that includes time-aligned ECG, PPG, BCG, and continuous blood pressure data is available to the public. This dataset could be used by other researchers for algorithm testing and development in this fast-growing field of health assessment, without requiring these individuals to invest considerable time and resources into hardware development and data collection.

scholarly journals Urinary sodium excretion and the risk of cardiovascular disease: A community-based cohort study in Taiwan

2021 ◽  
pp. 1-42
Author(s):  
Yi-Jie Wang ◽  
Kuo-Lioug Chien ◽  
Hsiu-Ching Hsu ◽  
Hung-Ju Lin ◽  
Ta-Chen Su ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Systolic Blood Pressure ◽  
Sodium Excretion ◽  
Urinary Sodium Excretion ◽  
Salt Sensitivity ◽  
Urinary Sodium ◽  
Mediating Effect ◽  
Cvd Risk ◽  
Media Thickness

Abstract Urinary sodium excretion is a potential risk factor for cardiovascular diseases (CVD). However, the underlying biological mechanisms and effects of salt sensitivity are unclear. The purpose of this study was to characterize the relative contribution of biological factors to the sodium-CVD association. A total of 2112 participants were enrolled in this study. Structured questionnaires and blood and urine samples were obtained. Twenty-four-hour sodium excretion was estimated using a single overnight urine sample. Hypertension, metabolic syndrome, and overweight status were considered to indicate salt sensitivity. Cox proportional hazard models were used to investigate the effects of salt sensitivity on urinary sodium excretion and CVD risk. The traditional mediation approach was used to calculate the proportion of mediation. The mean age (standard deviation) of the 2112 participants was 54.5 (12.2) years, and they were followed up for a mean of 14.1 [8.1] years. Compared with those in the lowest quartile, the highest baseline urinary sodium excretion (>4.2g/24 hours) was associated with a 43% higher CVD risk (hazard ratio, 1.43; 95% confidence interval, 1.02-1.99). Participants with high urinary sodium excretion, hypertension, or metabolic syndrome had a significantly high risk of CVD. The carotid intima-media thickness had the largest mediating effect (accounting for 35% of the sodium-CVD association), followed by systolic blood pressure (33%), left ventricular mass (28%), and diastolic blood pressure (14%). Higher urinary sodium excretion increased the risk of CVD, which was explained largely by carotid media-thickness and systolic blood pressure.

scholarly journals ASSOCIATION BETWEEN SERUM URIC ACID AND METABOLIC SYNDROME

2018 ◽  
Vol 11 (10) ◽  
pp. 400 ◽  
Author(s):  
Thaslima Nandhini Js ◽  
Savitha Basker G ◽  
Vishnupriya V
Keyword(s):  
Metabolic Syndrome ◽  
Uric Acid ◽  
Venous Blood ◽  
Fasting Blood Glucose ◽  
Control Group ◽  
Serum Triglycerides ◽  
Significant Difference ◽  
Disease Condition ◽  
Student’S T ◽  
Student’S T Test

Objective: Metabolic syndrome is a cluster of disease condition characterized by truncal obesity, hypertriglyceridemia, elevated blood pressure, and insulin resistance. An excessive circulating uric acid (UA) level even within normal range is always comorbid with metabolic syndrome and its components. The aim of the current study was to investigate the association between metabolic syndrome and serum UA level.Methods: A total of 60 subjects were divided into two groups of healthy (30 individuals) and metabolic syndrome patients (30 individuals) from dental outpatient department of Saveetha Dental College and Hospitals. 5 ml of fasting venous blood was collected in the plain collection tubes and centrifuged, and then serum was separated. Then, the serum was used to analyze the fasting blood glucose, serum triglycerides (TGLs), and serum UA by GOD-POD, enzymatic colorimetric, and uricase method, respectively. A statistical analysis was performed using Student’s t-test. p<0.05 was considered to be statistically significant.Result: Mean body mass index (BMI), fasting blood sugar (FBS), TGL, and UA level of control group were 23.36±1.81, 84.45±13.1, 110.9±22.6, and 3.48±1.21 respectively. Mean BMI, FBS, TGL, and UA level of study group were 35.24±3.04, 122.85±23.3, 212.1±39.6 and 9.08±2.63 respectively. There is a significant difference between these two groups with p<0.0001.Conclusion: This study showed that those individuals with metabolic syndrome have higher UA level that indicates hyperuricemia which is a significant predictor of metabolic syndrome.

scholarly journals Osobennosti funktsional'nogo sostoyaniyakory nadpochechnikov i shchitovidnoy zhelezypri metabolicheskom sindrome

2011 ◽  
Vol 8 (3) ◽  
pp. 46-50 ◽  
Author(s):  
I V Madyanov ◽  
V A Kichigin ◽  
T N Markova ◽  
S M Semakina ◽  
I B Bashkova
Keyword(s):  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Thyroid Gland ◽  
Systolic Blood Pressure ◽  
Adrenal Cortex ◽  
Functional State ◽  
Thyroid Stimulating Hormone ◽  
Blood Levels ◽  
Dehydroepiandrosterone Sulphate ◽  
Total Triiodothyronine

The aim. To study the functional state of adrenal cortex and thyroid gland in metabolic syndrome (MS). 186 women and 65 men were included. Blood levels of cortisol, dehydroepiandrosterone sulphate, total thyroxin, total triiodothyronine, thyroid stimulating hormone were studied in subjects with and without metabolic syndrome (IDF test) and their relation with MS components. The results. 75 (29,9%) of the 251 examined patients had MS. In the group with MS the levels of total thyroxin and dehydroepiandrosterone sulphate were decreased to 1,90±0,18 microgram/milliliter vs. 2,37±0,12 microgram/milliliter (р=0,033) in patients without MS and 2,19±0,26 nmol/l vs. 2,59±0,15 nmol/l (р=0,040), respectively. The levels of dehydroepiandrosterone sulphate were inversely correlated with the systolic blood pressure (r=-0,23, р

scholarly journals Consistency between Self-Reported and Recorded Values for Clinical Measures

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Joseph Thomas III ◽  
Mindy Paulet ◽  
Jigar R. Rajpura
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Systolic Blood Pressure ◽  
Diastolic Blood Pressure ◽  
Body Mass ◽  
Pearson Correlation ◽  
Recorded Data ◽  
Pearson Correlation Analysis ◽  
Reported Data ◽  
Clinical Measures

Objectives. This study evaluated consistency between self-reported values for clinical measures and recorded clinical measures.Methods. Self-reported values were collected for the clinical measures: systolic blood pressure, diastolic blood pressure, glucose level, height, weight, and cholesterol from health risk assessments completed by enrollees in a privately insured cohort. Body mass index (BMI) was computed from reported height and weight. Practitioner recorded values for the clinical measures were obtained from health screenings. We used bivariate Pearson correlation analysis and descriptive statistics to evaluate consistency between self-reported data and recorded clinic measurements.Results. There was high correlation between self-reported clinical values and recorded clinical measures for diastolic blood pressure (r=0.91,P=<0.0001), systolic blood pressure (r=0.93,P=<0.0001), cholesterol (r=0.97,P=<0.0001), body mass index (r=0.96,P=<0.0001), glucose (r=0.96,P=<0.0001), weight (r=0.98,P=<0.0001), and height (r=0.89,P=<0.0001).Conclusions. Self-reported clinical values for each of the eight clinical measures examined had good consistency with practitioner recorded data.

scholarly journals Pattern of Metabolic Syndrome in Clinical Practice

1970 ◽  
Vol 10 (2) ◽  
pp. 48-51
Author(s):  
Quazi Tarikul Islam ◽  
Md Azizul Haque ◽  
ASM Shawkat Ali ◽  
ARM Saifuddin Ekram ◽  
Sultana Monira Hussain ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Body Weight ◽  
Clinical Practice ◽  
Waist Circumference ◽  
Prospective Study ◽  
Systolic Blood Pressure ◽  
Total Cholesterol ◽  
Age Group ◽  
Inclusion Criteria

1068 randomly sampled adult Bangladeshi people were studied during a period of six months from October 2004 to March 2005. It was a randomized, prospective study. Cases that fulfilled two criteria of metabolic syndrome (MetS) were evaluated to see pattern and types of MetS. Out of 1068 patients, 110 (10.3%) fulfilled the inclusion criteria. 101 (9.4%) cases were labeled as metabolic syndrome according to NCEP ATP III criteria, 09 cases had only two criteria. 40 cases were male & 70 cases were female (M:F= 1:1.8). Mean age of patients with was 44.88, ranging from the age of 20-68 years. Majority (55%) of the patients were in the age group of 30-49 years. Half of the cases had BMI 30-34.9. Mean body weight of male was 85.9 kg and of female was 78.2 kg. Mean waist circumference of male was 41.7 inches and of female 40 inches. Mean HDL for male was 38.3 mg/dL and for female is 40.2 mg/dL. Mean Triglyceride for male was 172.1 and for female was 169.3 mg/dL. Mean total cholesterol for male was 216.7 and for female was 207.6 mg/dL. Mean systolic blood pressure (SBP) for men is 162 mm Hg & diastolic blood pressure (DBP) 99 mm Hg and for female mean SBP 155 and DBP 96 mm Hg. Metabolic syndrome is more prevalent in the 3rd and 4th decade of life in both sexes. It is almost twice common in female than male. Combination of hypertension, obesity & dyslipidemia comprises nearly 40% of its presentation.    doi: 10.3329/jom.v10i2.2813 J MEDICINE 2009; 10 : 48-51

scholarly journals Study of Platelet Indices in Patients with Metabolic Syndrome

2019 ◽  
Vol 05 (01) ◽  
pp. 010-014 ◽  
Author(s):  
Uma Maheswara Reddy ◽  
Aditya Khandekar ◽  
Sourya Acharya ◽  
Samarth Shukla ◽  
Neema Acharya
Keyword(s):  
United States ◽  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Waist Circumference ◽  
Systolic Blood Pressure ◽  
Tertiary Care ◽  
Serum Triglyceride ◽  
Atherogenic Dyslipidemia ◽  
Distribution Width ◽  
Platelet Indices

Abstract Introduction Metabolic syndrome (MetS) is a combination of abdominal obesity, atherogenic dyslipidemia, elevated blood pressure, and elevated plasma glucose. MetS patients have higher chances of developing insulin resistance, visceral adiposity, atherogenic dyslipidemia, and thus coronary artery disease and stroke. Alteration of platelet indices in diabetes mellitus, atherosclerosis, and other proinflammatory states has been described in multiple studies. Thus, this study was carried out to assess platelet indices in MetS. Objectives This study was carried out to assess platelet indices in MetS. Methods A cross-sectional study was carried out at Acharya Vinoba Bhave Rural Hospital, a tertiary care center over a period of 2 months from June 1, 2018 to July 31, 2018. Fifty patients diagnosed as having MetS, and 50 healthy controls were chosen. Estimation of anthropometric parameters including waist circumference; measurement of blood pressure; biochemical parameters including lipid profile; and platelet indices including plateletcrit, mean platelet volume (MPV), and platelet distribution width (PDW) were carried out. Statistical Analysis Statistical analyses were carried out using inferential statistics, including chi-square test and Student's unpaired t-test, and software SPSS version 22.0 (IBM Corporation, Armonk, New York, United States) with GraphPad Prism version 6.0 (Informer Technologies, Inc. Los Angeles, California, United States) was used, with p < 0.05 being considered as significant. Results A statistically significant, positive correlation was found between the waist circumference, systolic blood pressure, serum triglyceride levels, and plateletcrit, with the MetS status of patients (p < 0.05). Conclusion This study revealed that MetS is a proinflammatory and prothrombotic state, characterized by alteration of platelet indices. Plateletcrit was shown to be a statistically significant biomarker along with other parameters such as waist circumference, systolic blood pressure, and serum triglyceride levels. Early detection and follow-up of patients using these markers can lead to an overall decline in morbidity and mortality owing to MetS.

Experimentally produced porphyria in animals

1955 ◽  
Vol 143 (911) ◽  
pp. 257-279 ◽  
Keyword(s):  
Blood Pressure ◽  
Systolic Blood Pressure ◽  
Chemical Structure ◽  
Early Stage ◽  
Rabbit Liver ◽  
Acute Porphyria ◽  
Poor Appetite ◽  
Porphyrin Metabolism ◽  
Low Levels ◽  
The Individual

The chemical findings of Schmid & Schwartz (1952) in experimental porphyria of rabbits induced by sedormid have been confirmed. Since sedormid is hypnotic, a group of related drugs has been tested to find one which might produce the chemical picture in animals without hypnosis. Such a drug is allyl- iso propyl-acetamide (A.I.A.). In this investigation, the constant chemical structure affecting porphyrin metabolism was found to be CH 2 =CH—CH 2 —CH R —CO—NH—. Some rabbits excrete large amounts of porphobilinogen and uroporphyrin when given either sedormid or A.I.A., others produce little. It is suggested that the cause of this difference is related to a variability of the individual rabbit liver to deal effectively with those drugs. Rabbits, intoxicated with either drug, became constipated, had poor appetite and lost weight. They did not become paralyzed, nor show any change in systolic blood pressure or in their haematological values. Two fowls, one also given a barbiturate, and nine rats wore intoxicated with allyl- iso propyl-acetamide. Although these animals excreted relatively high levels of porphobilinogen and porphyrins, they did not develop paralysis. The experimentally induced porphyria in animals is compared with hum an acute porphyria. The effects are described of reticulo-endothelial blockade, splenectomy and barbiturate administration on porphyria induced experimentally in rabbits. Experimental porphyria appears to be due to an overproduction of porphyrins, rather than to an under-utilization of porphyrin pigments. An atypical porphobilinogen reaction is described. It is present in the early stage of drug intoxication in rabbits and has also been noted in human acute porphyria at low levels of porphobilinogen excretion.

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