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Aim: People with type 1 or type 2 diabetes have a higher hospital admission rate following Covid-19 infection. This study aims to determine the degree to which the results of a previous study in Greater Manchester (GM) could be replicated in national-level data for England. Method(s): We focussed on the univariable regression analysis, which shows the association between admission and Covid-19 infection in people with diabetes. Modelling was conducted using logistic regression on data from the Covid-IMPACT database. Odds ratios were compared descriptively with the previous study. Result(s): In people with type 2 diabetes, factors associated with an increased risk of hospitalisation similar to the previous study were: older age, male sex, higher social deprivation, higher body mass index (BMI), higher cholesterol, lower eGFR, taking an ACE-inhibitor/ ARB, not taking metformin, and having asthma or hypertension. Patients with COPD, and those taking aspirin or clopidogrel also had increased risk, but the national data showed a greater risk (GM COPD odds ratio 1.89 [1.63-2.19] vs national 2.34 [2.28-2.40] / aspirin 1.49 [1.34-1.66] vs 1.66 [1.63-1.70] / clopidogrel 1.71 [1.47-1.98] vs 1.99 [1.94-2.04]). Similar results were observed in patients with type 1 diabetes. However, due to the increase in sample size, many factors which were previously not statistically significant have become significant, such as in type 2 diabetes BMI, low HDL-cholesterol. Conclusion(s): We have successfully replicated the methods, results and conclusions of our previous study in relation to factors associated with increased risk of hospital admission in diabetes individuals. Regional databases are suitable for large cohort studies, and in this instance produced similar results to a national database, validating our previous findings.
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Comprehensive medication management (CMM) is increasingly provided by health care teams through telehealth or hybrid modalities. The purpose of this scoping literature review was to assess the published literature and examine the economic, clinical, and humanistic outcomes of CMM services provided by pharmacists via telehealth or hybrid modalities. This scoping review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews. Randomized controlled trials (RCTs) and observational studies were included if they: reported on economic, clinical, or humanistic outcomes;were conducted via telehealth or hybrid modalities;included a pharmacist on their interprofessional team;and evaluated CMM services. The search was conducted between January 1, 2000, and September 28, 2021. The search strategy was adapted for use in Medline (PubMed);Embase;Cochrane;Cumulative Index to Nursing and Allied Health Literature;PsychINFO;International Pharmaceutical s;Scopus;and grey literature. Four reviewers extracted data using a screening tool developed for this study and reviewed for risk of bias. Authors screened 3500 articles, from which 11 studies met the inclusion criteria (9 observational studies, 2 RCTs). In seven studies, clinical outcomes improved with telehealth CMM interventions compared to either usual care, face-to-face CMM, or educational controls, as shown by the statistically significant changes in chronic disease clinical outcomes. Two studies evaluated and found increased patient and provider satisfaction. One study described a source of revenue for a telehealth CMM service. Overall, study results indicate that telehealth CMM services, in select cases, may be associated with improved clinical outcomes, but the methods of the included studies were not homogenous enough to conclude that telehealth or hybrid modalities were superior to in-person CMM. To understand the full impact on the Quadruple Aim, additional research is needed to investigate the financial outcomes of CMM conducted using telehealth or hybrid technologies.Copyright © 2022 Pharmacotherapy Publications, Inc.
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Background: Fitness is a marker of physiological and mental health. The purpose of this pilot study was to assess the feasibility of processes to recruit women with polycystic ovary syndrome (PCOS) during the Covid pandemic and collect their health and fitness data. Additionally, the data was used to explore possible associations between anthropometrics, PCOS biomarkers, health-related quality-of-life (HRQoL), and depressive symptoms with that of fitness and self-reported physical activity levels among women with PCOS. Method(s): A convenience sample of women with PCOS (n = 15) were recruited via flyers and the snowball method. Participants completed surveys, anthropometrics, a dual energy x-ray absorptiometry scan, blood work, and a fitness assessment. Data were statistically analyzed using Spearman correlations. Result(s): Feasibility measures of recruitment and retention rates were 83% and 100%, respectively. Fidelity measurement for process averaged 97%. Participants (age 25.9 (+/- 6.2), mostly White (80%), single (60%), and employed full-time (67%)) were categorized as obese (body mass index (BMI) 32.2 kg/m2 +/- 8.3, percent bodyfat 41.1% +/- 8.1) with <=1 comorbidity. Most participants were not regularly physically active and had high free testosterone levels (7.6 pg/mL+/-4.3), elevated high-density lipoprotein (63.2 mg/dL+/-12.9), fair cardiovascular capacity, and below average muscular strength/endurance. The following statistically significant and strong associations were found: (1) VO2 max with percent bodyfat (-0.59;p = 0.02), sex hormone binding globulin (0.73;p = 0.00), HRQoL (0.72;p = 0.00), and depressive symptoms (-0.67;p = 0.00), (2) abdominal strength with BMI (-0.66;p = 0.01) and high density lipoprotein (HDL) (0.59;p = 0.02), (3) physical activity level with percent bodyfat (-0.72;p = 0.00), and (4) resistance training with low density lipoprotein (LDL) (-0.52;p = 0.05). Conclusion(s): Collecting health and fitness data from women with PCOS is a feasible research approach. Randomized controlled trials in which health and fitness data are collected from women with PCOS are needed to confirm possible associations between fitness and PCOS clinical features and is in the planning process. Copyright: Copyright © 2023 The Author(s).
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Background: Dyslipidemias and essential fatty acid deficiencies (EFADs) are well established complications of cystic fibrosis (CF). In the general population, a diet high in saturated fat is associated with hyperlipidemia and greater risk of cardiovascular disease and type 2 diabetes. Increasing life expectancy in CF brings concern about the risks of the "legacy" high-fat CF diet. The impact of CFTR modulators on CF-related dyslipidemia and EFAD is not known. Previous studies reported dyslipidemia in people with CF (PwCF) using traditional lipid measures. This study aimed to evaluate the lipoprotein and fatty acid profiles in children and adolescents with CF and to correlate biochemical results with clinical and molecular findings. Plasma and red blood cell (RBC) samples were studied to compare the ability of each method to identify EFAD markers. Method(s): Blood samples (n = 171) were obtained from 142 (78 female) children with CF aged 9.8 +/- 4.7 (range 4 months to 18 years) during routine laboratory draws at pediatric CF center clinic visits. Pancreatic insufficiency was present in 92% and glucose intolerance or diabetes in 14%. Body mass index percentile (BMI%ile) for age z-scorewas 0.23 +/- 0.89 (range -2.4-2.6). F508del mutation was homozygous for 56% and heterozygous for 41%. CFTR modulator therapy had been initiated 3 or more months before for 62% of samples. Sample collection began in September 2019, paused during the COVID-19 pandemic, and resumed in July 2021. An accredited, regional laboratory with expertise in fatty acid analysis processed all samples. Serum was separated and refrigerated for lipoprotein analysis, plasmawas separated and frozen, and RBCs were washed and frozen for fatty acid analysis. Nuclear magnetic resonance lipoprotein assayswere conducted to determine particle number and size of lipoprotein classes. Triglyceride, total cholesterol, and high-density lipoprotein cholesterol (HDL-C) were measured directly (Roche). Low-density lipoprotein cholesterol (LDL-C) and very low-density lipoprotein cholesterol (VLDL-C) were calculated. To correlate laboratory results with clinical findings, medical records were reviewed, and a CF clinic dietitian conducted 24-hour dietary recalls concurrent with study labs. Result(s): Of PwCF homozygous F508del/F508del, 43% tested positive for EFAD biomarkers (RBC linoleic acid, RBC mead acid, RBC triene/tetraene ratio), compared with 13% of PwCF heterozygous F508del ( p <=0.01) (Figure 1). There was no significant difference in concentrations of fatty acid and EFAD biomarkers between those who had or had not initiated CFTR modulator therapy. Lipoprotein abnormalities were identified in 69% of samples with low HDL-C and 39% with large HDL-C, 87% with large VLDL-C particle size and 52% with large VLDL-C particle number, and 5% with high LDL-C or small LDL-C particle numbers. High total cholesterol was found in 15% and high triglycerides in 17%. HDL-C was low in 24%, and 3% had high LDL-C. (Figure Presented) Figure 1. Differences in concentrations of red blood cell (RBC) linoleic and mead acids and triene/tetraene (T/T) ratio between F508del homozygous and F508del heterozygous individuals Conclusion(s): Despite clinical advances and use of CFTR modulator therapy, EFAD remains prevalent and underrecognized in the pediatric CF population. Of PwCF, those homozygous for f508del may have a higher risk of EFAD. Limitations of this study (four different CFTR modulator therapies and small sample sizes in each group) may have precluded significant findings for EFAD and lipid profiles, but PwCF receiving modulator therapy appear to have healthier lipid profiles than those not receiving therapy. Lipids and fatty acid are not routinely evaluated in PwCF, but evaluation should be included in the standard of care for timely dietary interventionsCopyright © 2022, European Cystic Fibrosis Society. All rights reserved
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Metabolic Syndrome (MetS) is one among the Non-Communicable Diseases (NCDs) which might occur due to genetic, environmental, physiological and behavioural factors. MetS is increasing alarmingly in the population. Addressing the modifiable factors to reduce the risk is of prime importance. The current study is intended to observe the prevalence of Metabolic Syndrome criteria with respect to its relation to lifestyle factors among subjects post pandemic situation and the MetS incidence to understand how the disease can be prevented and the means to improve the public health. Random sampling method was used to enrol 20-50 year old (male and female) urban adults of Bengaluru into the study. Type-I-diabetics, lactating and pregnant women, post-cardiac surgery/ pre-post-transplant/ covid-19 recovered patients were excluded. Height, weight, Waist-Circumference (WC) and hip-circumference were measured. BMI and Waist-Hip Ratio (WHR) were calculated. Fasting Blood Glucose (FBS), Triglycerides (TG), HDL, Blood Pressure (BP) values were analysed and recorded. Diet recall was captured and calories consumed per day was estimated. The habits of exercise routine, smoking, tobacco chewing and alcohol were observed. IDF (International Diabetes Federation, 2006) criteria was used to categorise MetS. The data was analysed using relevant statistical tools. A total of 1211 adults (females 486 and males 725) were assessed. High WC indicating central obesity was observed in 55%. High FBS was observed in 29%. Hyper-triglyceridemia was more in males (36%) than females (19%). Low HDL was observed in 65% females against 43% males. High BP was observed among 10% in males and 8% in females. Lack of exercise was observed among 81% of the adults. Due to pandemic situation 10.7% stopped doing exercise. Moderate activity in 5.6% and vigorous activity in 2.8% was recorded;68% of the subjects were consuming >2000 calories/day on an average;18.6% were alcoholic. MetS was observed in 10.6% and MetS-2 criteria in 33.4% and MetS-1criteria in 24.5% before pandemic situation and post pandemic there was an increase. MetS was observed in 12.2% and MetS-2criteria in 49.7% and MetS-1criteria in 27.9% post pandemic. The lack of exercise and high-calorie consumption had a significant correlation with altered lipid values and central obesity. High WC had significant relation to High BMI. WHR had very significant correlation with high FBS and TG. Women had significantly high WC compared to men. The alcohol habit had a significant correlation with hypertriglyceridemia in males. Increased calorie consumption had a moderate correlation with raised FBS and WHR. MetS was significantly observed in those who had lack of exercise, high calorie consumption and alcohol habit. Findings suggest that MetS is in rise in 31-50 year age group. Central obesity, dyslipidemia and high FBS were predominant in 31-40 year group. High BP was observed in 45-50 years age group. Identifying and educating the young adults to correct their life style is the need of the hour to reduce increase of MetS in community.
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Objective: To investigate the predictive values of fasting blood glucose and triglyceride/high-density lipoprotein cholesterol ratio (TG/HDL-C) in non-diabetic patients with COVID-19. Methods: A total of 39 non-diabetic patients with COVID-19 admitted to the Fourth Hospital of Xi'an from December 2021 to January 2022 were included. And 34 health examination subjects from the Second Affiliated Hospital of Xi'an Jiaotong University were matched as health control according to their propensity score. The clinical characteristics and laboratory test results between groups were compared, and the predictive value of fasting glucose and TG/HDL-C in non-diabetic COVID-19 patients was analyzed by logistic regression and receiver operating curve (ROC). Results: COVID-19 patients were either mild (30 cases) or common type (9 cases) with mild symptoms and good clinical prognosis. The median age was 29.0 (20.0, 49.0) years, 24 (61.5%) were males. Fasting blood glucose (4.30+or-0.47 mmol/L) and HDL-C [1.07 (0.86, 1.30) mmol/L] levels in COVID-19 patients were significantly lower than healthy controls [5.15+or-0.70 mmol/L, 2.24 (1.77, 3.05) mmol/L], the differences were statistically significant (t=6.277, P < 0.001;Z=6.026, P < 0.001). However, low density lipoprotein cholesterol (LDL-C) [2.40 (1.81, 2.91) mmol/L] and TG/HDL-C [0.91 (0.54, 1.52)] in COVID-19 patients were significantly increased compared to healthy controls [1.11 (0.99, 1.30) mmol/L, 0.54 (0.33, 0.90)], and the differences were statistically significant (Z=-6.271, -2.801, all P < 0.005). Logistic regression analysis showed that fasting blood glucose on admission could be an independent protective factor (OR:0.020, 95% CI: 0.003 ~ 0.150) and elevated TG/HDL-C be a risk factor (OR:4.802, 95% CI: 1.249 ~ 18.460) for COVID-19 infection among non-diabetic populations. The ROC curve showed that fasting blood glucose and TG/HDL-C were good at predicting the risk of COVID-19, and the area under the curve (AUC) were 0.871 and 0.708, respectively, and was 0.895 when combined. Conclusion: Decreased fasting blood glucose and elevated TG/HDL-C would be risk factors for COVID-19 infection in the non-diabetic population, and both have good predictive value for the incidence of COVID-19.
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BACKGROUND: Babesiosis, an intra-erythrocytic protozoan disease, is an emerging zoonotic parasitic disease worldwide. Cholesterol levels are correlated with severe infections, such as sepsis and COVID-19, and anecdotal reports suggest that high-density lipoprotein (HDL) cholesterol declines during acute babesiosis. Our aim was to describe the cholesterol levels in patients with acute babesiosis diagnosed in an endemic area in New York, hypothesizing that HDL levels correlate with the severity of infection. METHODS: We reviewed the medical records of adult patients with babesiosis diagnosed by identification of Babesia parasites on a thin blood smear and confirmed by polymerase chain reaction from 2013 to 2018, who also had available a lipid profile drawn at the time of clinical presentation. Additional lipid profile levels were considered as "baseline" if they were drawn within 2 months before or after the infection as part of routine care. RESULTS: A total of 39 patients with babesiosis had a lipid profile drawn on presentation. The patients were divided into two groups for comparison based on the treating physician's clinical decision: 33 patients who were admitted to the hospital and 8 patients who were evaluated as outpatients. A history of hypertension was more common in admitted patients (37% vs. 17%, p = 0.02). The median levels of low-density lipoprotein (LDL) and HDL were significantly reduced in admitted patients compared to non-admitted patients (46 vs. 76 mg/dL, p = 0.04; and 9 vs. 28.5 mg/dL, p = 0.03, respectively). In addition, LDL and HDL levels returned to baseline values following resolution of acute babesiosis. CONCLUSION: LDL and HDL levels are significantly reduced during acute babesiosis, suggesting that cholesterol depletion may predict disease severity. Pathogen and host factors may contribute to a reduction in serum cholesterol levels during acute babesiosis.
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Myocarditis can lead to myocardial infarction in the absence of coronary artery obstruction. We report a case of probable myocarditis, complicated by myocardial infarction with non-obstructive coronary arteries. A 19-year-old man presented with chest pain typical of myocarditis. He was a smoker but was otherwise well. Electrocardiogram revealed diffuse ST-elevation and echocardiography revealed a thin, akinetic apex. Troponin-T levels on admission were raised leading to an initial diagnosis of myocarditis being made. However, late gadolinium enhancement study on cardiac magnetic resonance imaging demonstrated transmural enhancement typical of ischaemia. Coronary angiogram was normal, leading to a likely diagnosis of myocardial infarction with non-obstructive coronary arteries. It is important to highlight that coronary assessment remains important when working up for myocarditis, as myocardial infarction with non-obstructive coronary arteries can often complicate myocarditis in cases of normal angiography. Another important lesson was on how cardiac magnetic resonance imaging provided vital evidence to support underlying ischaemia despite normal coronary angiogram, leading to a diagnosis of myocardial infarction with non-obstructive coronary arteries. Myocardial infarction with non-obstructive coronary arteries remains a broad 'umbrella' term and cardiac magnetic resonance imaging, as well as more invasive coronary imaging techniques during angiography, can further assist in its diagnosis. Our case provides a reminder that myocardial infarction with non-obstructive coronary arteries, although increasingly recognised, remains under-diagnosed and can often overlap with peri-myocarditis, highlighting the need to employ multi-modality imaging in guiding management.Copyright © The Author(s) 2021.
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Introduction: IL-6 is the key molecule of cytokine storm in COVID-19. Dyslipidemia is a common complication in patients with Coronavirus disease 2019 (COVID-19), but the association of dyslipidemia with the severity of COVID-19 is still unclear. In this study, we aimed to investigate the biochemical alterations of High-Density Lipoprotein Cholesterol (HDL-C), and Interleukin-6 (IL-6) in COVID-19 patients and their relationships with the disease severity. Material(s) and Method(s): We conducted a retrospective single-institutional study of 99 consecutive confirmed cases of COVID-19. Serum IL-6 and HDL-C concentrations, demographic and clinical profile were collected during hospital stay. Duration of study was from September 2020 to August 2021. Descriptive statistics were applied to summarize the demographic data. Results are reported as mean with standard deviation. Receiver operating characteristic curve (ROC) analysis was used to compare biochemical markers. Result(s): Serum HDL-C levels had a significant positive correlation with SpO2 with correlation coefficient r = 0.589. Serum IL-6 had a negative correlation with SpO2 with correlation coefficient r =-0.632. The AUC for IL6 and HDL-C in predicting COVID severity is 0.982 and 0.985 respectively. Conclusion(s): HDL-C is decreased and IL-6 is increased with the disease severity.Copyright © 2023, Dr Yashwant Research Labs Pvt Ltd. All rights reserved.
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Hesperidin has gained major interest recently due to the outbreak of COVID-19. The traction has led to more research being conducted on the compound hesperidin. Recent studies have shown its anti-inflammatory and anti-viral attributes, which have beneficial effects on severe acute respiratory syndrome (SARS-CoV-2). Hesperidin has also shown unique effects on the protein of SARS-CoV-2, which lead to a good preventative measure for SARS-CoV-2. Hesperidin also causes a suppression of appetite, which helps to combat obesity through the release of cholecystokinin. Furthermore, hesperidin has shown cardioprotective properties, which cause an increase in plasma high-density lipoprotein levels and a decrease in plasma low-density lipoprotein levels. Hesperidin is also used in combination with the Japanese herb Rikkunshito, which has shown potential in a discovery of a new drug for gastrointestinal motility as hesperidin can depolarize pacemaker potential in interstitial cells of Cajal (ICC). The chemo-preventive effects of hesperidin are caused by its antioxidant effect, which may prevent tissue necrosis due to oxidative stress. The photo-protective effect of hesperidin can reduce the damage to the skin caused by UV rays. Hesperidin also possesses wound-healing properties.Copyright © 2023 Bentham Science Publishers.
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Background: Due, partially, to the COVID-19 pandemic, interest in remote clinical trials has grown rapidly. The convenience associated with remote trials, for both researchers and participants, can lead to improved recruitment, retention, and engagement. Advancements in digital technology have led to increased accessibility to remote healthcare and have made possible remote data collection and intervention delivery in clinical trials. However, remote clinical trials are not ''one-sizefits- all'' and present key challenges, particularly, when there are multi-component outcomes, for example, the metabolic syndrome (MetS). Motivated by an ongoing, in-person, national, multi-site clinical trial aimed at the remission of the MetS (ELM trial), the Virtual ELM pilot study assessed the plausibility of remote data collection and delivery of a lifestyle intervention to participants with the MetS. It focused on weight loss after a 3-month treatment, which was used as a surrogate measure for the MetS. Objective(s): To assess the feasibility and remediate challenges of a fully remote data collection and intervention delivery for translation into a large-scale remote clinical trial. Method(s): A treatment-only pilot study was conducted with 10 participants with the MetS. Participants were recruited via self-referral or medical records interrogation. They attended virtual group meetings via Zoom led by trained interventionists every week for three consecutive months to practice mindful exercise and eating. Intervention tools, such as participant selfmonitoring, included daily food intake, mindful habit logs and daily steps. All data collection was completed remotely including weight and components of the MetS (waist circumference, blood pressure, glucose, HDL, and triglycerides). Other outcomes included physical activity, diet, and mindfulness. Remote data collection was conducted using a variety of tools including Snap Surveys (web-based questionnaires), Actigraph/ CentrePoint (accelerometer-based physical activity), Fitabase (weight, steps, and food logs). Accelerometers, blood pressure monitors, Fitbit activity trackers, wireless scales, and waist measuring tapes were mailed to participants, along with instructions on how to use them. Participants visited Quest Diagnostics to complete blood draws. Result(s): There were several challenges such as remote recruitment, outcomes data collection, and intervention delivery. The most distinctive challenges were completion of the accelerometer and blood draw protocols. Despite the challenges, this pilot achieved 100% retention for both baseline and follow-up outcomes assessments and 95% remote session attendance. Thirty percent of the sample achieved remission of MetS and 40% achieved weight loss >=5%. The screening-toenrollment ratio was 2.0. Conclusion(s): The Virtual ELM pilot study showed promising results for the possibility of efficient execution of a remote, large-scale trial. The study helped identify challenges associated with its virtual nature, such as physical measures and physical activity protocol completion, and resourceful delivery of the intervention content. Proactively addressing challenges in the enrollment phase, for example, screening for smartphone technology awareness and refinement in the planning phase, for example, selecting effective data capture tools, is essential for a successful, remote trial.
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Background: Recently emerged COVID-19 pandemic has caused a large number of deaths with lacs of confirmed cases worldwide posturing a grim situation and severe threat to public health. There is an imperative necessity of analyzing emerging clinical and laboratory data of COVID-19 pa-tients, which may contribute to elucidate the pathogenic mechanism and development of effective prevention and treatment countermeasures. Method(s): Under this article, the emerging role of High-Density Lipoprotein (HDL) was analyzed by collecting recently published articles related to this field having clinical data of COVID-19 patients. Result(s): Based on the recently published reports of laboratory-confirmed COVID-19 infected hospitalized patients it was consistently observed that levels of HDL were low at the time of admission to hospi-tal and remained relatively low during the disease course i.e., treatment, recovery, and discharge stage. It was also reported critically that levels of HDL in the patients, those did not survive, decreased continu-ously until death. Conclusion(s): These clinical reports of patients have risen the concern about probable infection and worsen the clinical outcome of a healthy person having a compromised level of HDL for COVID-19 infection. Eventually, these findings stated that there is a strong association of low HDL levels with a higher risk of COVID-19 infection and further severity of the illness. Proper attention is needed to understand the significance of altered quantity and quality of HDL in COVID-19 patients compared to healthy controls, so that appropriate therapies could be given at the right time to combat severity and mortality due to this infection.Copyright © 2021 Bentham Science Publishers.
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Aim: This study aimed at investigating the impact of COVID-19 lockdown on metabolic profile in bipolar disorder and schizophrenia patients at the time of COVID-19. Material(s) and Method(s): This study was completed with 190 individuals diagnosed with schizophrenia (116) and bipolar disorder (74). Waist circumference and blood pressure measurements were taken on the same date as triglyceride, glucose and HDL data in the electronic recording system of the participants. Initial assessment data are measurements within 3 months prior to the publication of the first case in Turkey. The second evaluation data, on the other hand, is the data obtained within 3 months after the date of removal or relaxation of the restrictions, which is defined as the normalization period. Result(s): A significant increase was observed in the incidence of metabolic syndrome in the participants after the COVID-19 lockdown. In addition, a significant increase in glucose, triglyceride and diastolic blood pressure values, and a significant decrease in HDL values were detected. There was no significant change in systolic blood pressure and waist circumference values. Discussion(s): It has been shown that the COVID-19 lockdown increases the incidence of metabolic syndrome in patients with schizophrenia and bipolar disorder and causes irregularities in metabolic syndrome parameters.Copyright © 2022, Derman Medical Publishing. All rights reserved.
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Introduction: COVID19 pneumonias have significantly contributed to short and long-term patient morbidity. Their impact on patients' cardiovascular profile following hospital discharge remains unclear. Aim(s): To investigate the short-term impact of COVID19 pneumonias on patients' atheromatic index (AI), Pulmonary Artery Systolic Pressure (PASP) and lipid profile at 4 weeks following hospital discharge. Material(s) and Method(s): We prospectively reviewed patients in our postCOVID19 outpatient clinic at 4 weeks following hospital discharge. All patients were previously admitted due to COVID19 pneumonia. Thoroughly review of all medical records and the local registry followed. Result(s): 237 patients attended their first outpatient appointment at 4 weeks post discharge (11.2020-12.2021) (103 males, 134 females, mean age 54 years). We reviewed 3 cardiovascular parameters: AI (chol/HDL), PASP and lipid profile. Increased PASP (30> mmHg) was reported in 7.17% (17/237) who were previously PASP naive and increased AI (>3.5) was reported in 37.7% (61/237 patients) who were also previously AI naive. Only 62% patients were compliant in undergoing a lipid profile investigation and 64% of them presented with increased levels of cholesterol (>200mg/dl), triglycerides (>150mg/dl), LDL (>150mg/dl). Conclusion(s): COVID19 pneumonia leaves a cardiovascular footprint at 4 weeks post hospital discharge in cardiovascular naive patients. Overall, these patients seem to be at an increased risk for cardiovascular diseases that increases with age. Our study is prospectively continued to investigate the impact at 3 and 6 months post hospital discharge.
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COVID-19 is a severe acute respiratory disease caused by coronavirus 2. While many biochemical alterations have been studied in patients with COVID-19, only a few studies were available to explore the relationship between serum lipid profile values and the severity of SARS COVID-19 infection. A cross-sectional study was conducted at Chettinad Hospital and Research Institute on 128 patients infected with SARS COVID-19 from March 2020 to September 2020. It was an age and sex-matched study. Patients were categorized into mild and severe based on the signs and symptoms. A fasting serum lipid profile and IL-6 levels were measured and Pearson's correlation analysis was done. There was a highly significant decrease in the median and IQR levels of TC, HDL, and LDL in severe cases as compared to mild cases [TC - mild: (256,64), severe (125,44), HDL - mild (46,11), severe (25,13), and LDL - mild (170,48), severe (76,36)]. TGL showed a significant decrease [mild: (170,67), severe:(110,69)]. IL-6 showed a significant increase in severe cases when compared to mild cases [mild:(20,37), severe:(62,105)]. Pearson's correlation analysis showed a significant inverse relationship between the levels of TC, HDL, and IL-6. However, TGL and LDL showed inverse but no significant relationship with IL-6. As the severity of COVID-19 increases, lipid profile levels start decreasing. Hypolipidemia is a pathognomic finding in severe SARS COVID-19 infection.
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To mark World Obesity Day on 4th March 2021 an online survey was conducted between 4th and 8th March 2021 as part of the project "Be fit during the pandemic!". The aim was to analyze changes in eating habits, physical activity and health indicators in adults during the Covid-19 pandemic caused by the coronavirus SARS-CoV-2 from March 2020 until March 2021. The survey involved 1,035 respondents from Slovakia (50.5% women and 49.5% men) with a mean age of 44.93 +or- 61.19 years (aged 20 to 73 years). Of those asked 70.9% lived in an urban area while 29.1% in the countryside. We assessed the lifestyle changes of the respondents using an anonymous questionnaire during the pandemic, based on whether they had Covid-19 and separated them by gender. We evaluated changes in health parameters (changes in glycaemia, total cholesterol, HDL, LDL, triacylglycerol's, blood pressure, body mass index-BMI, and waist-to-hip ratio-WHR indices). We used the statistical software Statistica 10.0 (StatSoft Inc., USA) for statistical evaluation with differences considered significant at p < 0.05.15% of the adults asked recovered from Covid-19. In the respondents' diet, we confirmed a significant difference (p < 0.01) in the consumption of meat and meat products, which were mainly consumed by men (37.97%, 9.49% more than women). During the pandemic, more women (p < 0.01) (44.30%) used vitamin D nutritional supplements than men (by 17.08%). When evaluating physical activity, more men (p < 0.01) used the stairs (33.76%, 10.76% more than women). In summary, to a greater or lesser extent, physical activity was predominantly performed by men (82.67% of men, 23.63% more than women, p < 0.05). Based on the online survey analyses, it is vital to raise people's awareness about positive lifestyle changes and their beneficial impact on health during a pandemic.
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Background: The world is still experiencing corona virus disease-19 (COVID-19) pandemic. So far, we experienced a total of more than 23 crore cases and 47 lakh deaths from COVID 19 disease. Severe acute respiratory syndrome - corona virus - 2 (SARS-CoV-2) was believed to affect lipid metabolism, with many authors reporting an increase in triglycerides and a decrease in high density lipoprotein (HDL) levels. This study gave the clinical features of COVID-19 patients with various HDL-C levels and an interrelation between HDL-C levels and the risk for adverse outcome in the form of deaths. Methods: We conducted a cross sectional study on 100 COVID-19 adult patients diagnosed by reverse transcription - polymerase chain reaction (RT-PCR) test admitted to the medicine department, from January 2020 to December 2020, who were also tested for lipid parameters. The detailed history and lab parameters of the patients were collected and the severe outcome of the same was measured in terms of deaths. Results: The mean age of study participants was 57.92 +or- 12.41 years. Majority of the participants were from the age group of 41 to 60 years with 50 patients (50%). There were 73 males (73%) and 27 females (27%) in our study. We observed that a total of 36 patients had co-morbidities (36%), such as diabetes seen in 22 cases (22%), hypertension in 18 cases (18%), ischaemic heart disease (IHD) in 8 cases (8%). A significant association was seen between the presence of co-morbidities and deaths in our study (P = 0.043). A significant association was seen between the patients who required intensive care and deaths (P < 0.001). We found a significant difference between the triglycerides and HDL parameters of lipid profiles in patients who died as compared to those who survived. (P < 0.05) The mean triglyceride level in patients who died was 223.14 +or- 56.59, significantly higher than those who survived 134.43 +or- 96.16. (P = 0.003) Conclusions: The lipid profile evaluation in our study was found to be effective in detecting the correlation of severity and outcome in COVID-19 patients. We conclude that the severity of COVID-19 cases is associated with low HDL and high triglyceride levels.
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Aim: Coronavirus disease 2019 (COVID-19) has caused thrombotic disease. In this study, we aimed to determine the demographic and clinical characteristics of acute coronary syndrome (ACS) patients infected with COVID-19 and to investigate whether they differ from patients with ACS without COVID-19 in terms of these characteristics. Material(s) and Method(s): The study was designed as a single-center retrospective study. Thirty-three COVID-19 infected ACS patients (Group 1) and 100 ACS patients without COVID-19 infection (Group 2) were included in the study. Result(s): The groups were compared in terms of coronary angiographic data. Twenty-eight (84.8%) patients in Group 1 and 74 (74%) patients in Group 2 were presented as non-ST elevation myocardial infarctus. Patients were compared in terms of baseline Thrombolysis in Myocardial Infarctus (TIMI) flow, thrombus stage, myocardial blush (end), using of thrombus aspiration catheter, stent thrombosis, and TIMI flow after percutaneous coronary intervention, and it was observed that there was no statistical difference between the groups (p> 0.05). Discussion(s): COVID-19 infection can cause plaque rupture, myocardial damage, coronary spasm and cytokine storm by triggering the coagulation and inflammation process. The fact is that we did not encounter an increased thrombus load in this study.Copyright © 2022, Derman Medical Publishing. All rights reserved.
ABSTRACT
Introduction: Patients with severe COVID-19 display dysregulated lipid metabolism. Dyslipidemia is associated with damage to the immune, respiratory, and cardiovascular systems, lipid dysregulation may contribute to morbidity and mortality from COVID-19 infection. Aim(s): to detect lipid changes in COVID-19 patients and their relation to patient's outcome Patients and Methods: The current study was conducted on patients with confirmed COVID 19 infection who were admitted at Minia cardiothoracic university hospital during the period from April to August 2021. Lipid profiles (LDH, HDL, Triglyceride, Cholesterol) were measured for all patients during the first 24 hours of admission. Patients were followed up till the time of hospital discharge. Result(s): Eighty patients were included in the study, 25 (31.2%) patients were classified to have moderate disease while 55(68.2%) patients had severe disease. Patients were divided into two groups according to their discharge condition, group I (survivor group) included 59(74%) patients and group II (non-survivor) which included 21(26%) patients. Comparing lipid profiles in both groups showed that;Triglyceride was significantly higher in group II 194.71+/-81.14 versus 149.78+/-50.68 in group 1 (P = 0.004). Also, LDH was significantly higher in group II 1254.38+/-691.47 versus 853.81+/-486.44 in group I ((P 0.005). No significant differences exist between both groups regarding, HDL, Cholesterol, and LDL (P= 0.982, 0.434, 0.996) respectively. Conclusion(s): Disturbance in Lipid metabolism occur in patients with COVID 19 infection and could be useful as a mortality predictor.,.