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Objective: To analyze and compare the effects of different clinical characteristics on the negative conversion time of nucleic acid detection after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant infection, and to provide a scientific basis for the isolation and treatment of coronavirus disease 2019 (COVID-19). Methods: The epidemiological and clinical data of 228 mild SARS-CoV-2 Omicron variant infected patients diagnosed in Shanghai were retrospectively collected from April 27, 2022 to June 8, 2022 in Wujiaochang designated Hospital, Yangpu District, Shanghai. The negative conversion time of nucleic acid detection was used as the outcome variable, and the patients were divided into A (18 days) and B (>18 days). Univariate and multivariate logistic regression analysis were used to analyze the influencing factors of the negative conversion time of nucleic acid detection. Results: The mean nucleic acid conversion time of 228 patients was (18.7+or-12.1) d, with the median time of 18 (2-46) d. Among them, 120 patients in group A had an average nucleic acid conversion time of (13.2+or-2.0) d, and 108 cases in group B had an average nucleic acid conversion time of (20.8+or-1.3) d. Univariate analysis showed that there were no statistically significant differences in the effects of hypertension, coronary heart disease, diabetes, hypokalemia, malignant tumors, neuropsychiatric diseases, chronic digestive diseases on the negative nucleic acid conversion time (P > 0.05);however, there were significant differences in the effects of combined cerebrovascular disease, leukopenia, chronic respiratory system diseases and vaccination on the negative nucleic acid conversion time (P < 0.05). Further multivariate logistic regression analysis revealed that the combination of chronic respiratory diseases and non-vaccination were significant risk factors for prolongation of negative nucleic acid conversion time (P < 0.05). Conclusions: The results of this study show that gender, age and whether hypertension, coronary heart disease, diabetes mellitus, hypokalemia, malignant tumor, neuropsychiatric disease and chronic digestive disease have no significant effect on the nucleic acid conversion time, whereas chronic respiratory disease and no vaccination are significantly correlated with the prolongation of nucleic acid conversion time in SARS-CoV-2 Omicron-infected patients.
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Introduction and objective: Diabetes, with its medical complications and societal consequences, is one the most difficult concerns for modern society. The purpose of this narrative review is to characterize the selected public health challenges and opportunities resulting from diabetes in Poland, as well as to identify public health measures that may be adopted to lower the diabetes burden in Poland. Review methods: This narrative review is based on the literature about diabetes in Poland. Scientific papers on diabetes published between 1 January 2010-31 January 2023, available in the PubMed database, were identified using a combination of the following key words: 'diabetes', 'Poland', 'public knowledge', 'management' and 'costs'. Particular attention was paid to the following diabetes-related issues: (1) current and forecast prevalence of diabetes in Poland, (2) diabetic care before and after the COVID-19 pandemic onset, (3) public knowledge of diabetes and diabetes risk factors, and (4) public health interventions to reduce the diabetes burden at the population level. Abbreviated description of the state of knowledge: A continuous growth of both the incidence and the prevalence of diabetes is predicted. Due to insufficient public awareness of diabetes risk factors and symptoms, and the health-debt caused by COVID-19 pandemic, a further rise in the number of diabetic complications is expected, as well as an increase in public spending on health care and social insurance systems. Summary: Public health interventions targeted at preventing diabetes and its complications should not be confined to reducing complications and improving diabetes care, but also include a wide range of initiatives aimed at addressing the fundamental causes of diabetes. Future study should look at the cost-effectiveness of such initiatives in order to mobilize different stakeholders and society.
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Non-invasive ventilation (NIV) might be successful if carefully selected in adult patients with cardiac dysfunction presenting with community-acquired pneumonia. The main objective of this study was to identify the early predictors of NIV failure. Adult patients with left ventricle ejection fraction (LV EF) <50% admitted to the intensive care unit (ICU) with community-acquired pneumonia and acute respiratory failure were enrolled in this multicenter prospective study after obtaining informed consents (study registrationID: ISRCTN14641518). Non-invasive ventilation failure was defined as the requirement of intubation after initiation of NIV. All patients were assessed using the Acute Physiology and Chronic Health Evaluation II (APACHE II) and sequential organ failure assessment (SOFA) scores at admission, while their Heart rate Acidosis Consciousness Oxygenation and Respiratory rate (HACOR) and lung ultrasound (LUS) scores in addition to blood lactate were assessed at NIV initiation and 12 and 24 hours later. A total of 177 patients were prospectively enrolled from February 2019 to July 2020. Of them, 53 (29.9%) had failed NIV. The mean age of the study cohort was 64.1+or- 12.6 years, with a male predominance (73.4%) and a mean LV EF of 36.4 +or- 7.8%. Almost 55.9% of the studied patients had diabetes mellitus, 45.8% had chronic systemic hypertension, 73.4% had ischemic heart disease, 20.3% had chronic kidney disease, and 9.6% had liver cirrhosis. No significant differences were observed between the NIV success and NIV failure groups regarding underlying morbidities or inflammatory markers. Patients who failed NIV were significantly older and had higher mean SOFA and APACHE II scores than those with successful NIV. We also found that NIV failure was associated with longer ICU stay (p < 0.001), higher SOFA scores at 48 hours (p < 0.001) and higher mortality (p < 0.001) compared with the NIV success group. In addition, SOFA (Odds Ratio (OR): 4.52, 95% Confidence Interval (CI): 2.59-7.88, p < 0.001), HACOR (OR: 2.01, 95% CI: 0.97-4.18, p = 0.036) and LUS (OR: 1.33, 95% CI: 1.014-1.106, p = 0.027) scores and blood lactate levels (OR: 9.35, 95% CI: 5.32-43.26, p < 0.001) were independent factors for NIV failure. High initial HACOR and SOFA scores, persistent hyperlactatemia and non-decrementing LUS score were associated with early NIV failure in patients with cardiac dysfunction presenting with community-acquired pneumonia, and could be used as clinical and paraclinical variables for early decision making regarding invasive ventilation.
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Deaths from COVID-19 are increasing in patients with comorbidities. One of the most common comorbidities is diabetes mellitus. The researchers wanted to see how having diabetes affected the mortality rate of COVID-19 participants. This investigation is a case control observational analytical study. Different types of people, called "cases", and "controls", complete the research sample. Each group had 68 responders, for a grand total of 136. Medical records from COVID-19 patients treated at Airlangga University Hospital, Surabaya, between March 2020 and September 2021 serve as the study's secondary data source. The purpose of this study's data analysis is to calculate an odds ratio. Patients with COVID-19 with concomitant diabetes mellitus had an increased risk of death, and this risk increased with age, gender, and COVID-19 symptoms. In contrast, education, occupation, and laboratory results were not significantly related to mortality among COVID-19 individuals with concomitant diabetes mellitus (GDA status). The results of this study show that COVID-19 patients with concomitant diabetes mellitus are at a higher risk of death if they are over the age of 65, if they are male, and if they have severe symptoms.
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Regarding the investigation of the factors related to the hospitalization of patients with Mucormycosis after being infected with Covid-19, several preliminary studies have been conducted in the hospital, but these studies were conducted in a small environment and have a smaller sample size. Therefore, the aim of the present systematic review study is to examine the factors affecting the hospitalization of patients with mucormycosis after being infected with covid-19. Methods: The current systematic review study was conducted according to PRISMA guidelines (preferred reporting items for systematic seviews and meta-analyses). For this study, the keywords "2019-nCoV", "COVID-19", "SARS-CoV-2", "Coronaviruses", "Hospitaliz", "Factor" and "Mucormycosis" in MagIran, SID, ISI, embase databases, ProQuest, PubMed, scopus were searched. Results: diabetes mellitus, old age, high body mass index, kidney disease, high blood pressure and smoking significantly increase the need for hospitalization in patients with mucormycosis after contracting covid-19. Conclusion: The results of the present study showed that the risk of hospitalization due to Mucormycosis after the covid-19 disease is significantly related to obesity, old age and underlying diseases..
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Objective: To analyze the epidemic characteristics of coronavirus disease 2019 (COVID-19) cases aged 60 years or older during the outbreak epidemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant in Sanya City, Hainan Province, August-September 2022, and to provide scientific and effective basis for formulating strategies for the prevention and treatment of COVID-19 in the elderly in the future. Methods: The data of 1 785 COVID-19 cases aged 60 years reported from August 1 to September 8, 2022 in Sanya City, and 537 local COVID-19 inpatients aged 60 years treated in Sanya Central Hospital were collected and analyzed using WPS Office 2018 software for data cleaning, database assistance, and drawing, and SPSS 22.0 software was used to statistically describe and analyze the counting data. Results: A total of 1 785 local COVID-19 cases aged 60 years were reported in China's Disease Prevention and Control Information System, including 1 509 confirmed cases (84.54%) and 276 asymptomatic cases (15.46%). Of the confirmed cases, 1 448 were mild cases (95.96%), 40 were common cases (2.65%), 10 were severe cases (0.66%), and 11 were critical cases (0.73%), and no deaths were reported. The ratio of male to female was 0.88:1. The youngest was 60 years old, the oldest age was 107 years old, with a median age of 67 years old. Most of them (1 559 cases, 87.34%) were non-social employed personnel. Among them, 952 (53.33%) were from Tianya District and 733 (41.06%) from Jiyang District. Among the 537 COVID-19 elderly infected patients hospitalized in Sanya Central Hospital, infected patients with underlying diseases accounted for 287 (53.45%) cases of hypertension, diabetes and other types of basic diseases (chronic kidney disease, hyperlipidemia, chronic gastritis, gastric ulcer, etc.), and there were serious infections. Conclusions: Most of the elderly infected with Omicron variants were mild cases with few symptoms, but the elderly infected with Omicron variants were difficult to recover or even worsen the condition due to old age and underlying diseases. Therefore, by analyzing the various aspects of elderly infected cases, scientific and effective basis can be provided to prevent and control the epidemic situation in the future, and reduce the occurrence of severe, critical and death cases of COVID-19 in the elderly.
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Background: COVID-19 patients may experience lon-lasting symptoms from weeks to even months. Aim: To evaluate long-term cognitive impairment based on the severity of symptoms of COVID-19 infection in a primary health system setting. Material and methods: From a database of 363 patients, 83 cases aged 47 +or- 15 years, (58% females) were selected from June to August 2020. In patients who survived the virus, 24 infection-related symptoms were collected to create three severity clusters (mild, moderate, and severe). The follow-up time was at least seven months. Comparing the first two clusters with the severe cluster, the existence of brain fog and risk factors (obesity, hypertension, diabetes, chronic lung disease, and hypothyroidism) were analyzed. Results: Thirty-one patients (37%) had persistent symptoms lasting up to 240 days. Fifty-one patients (61%) experienced brain fog. Concentration was affected by symptom severity (odds ratio [OR] 3.63, 95% confidence interval [CI] 1.26-10.46, p = 0.02). Short- or long-term memory loss was not affected. Moreover, symptom severity was related to brain fog (OR 3.16, 95% CI 1.05-9.51, p = 0.04). Patients with persistent symptoms had a concentration impairment associated with severity patterns (OR 24.3, 95% CI 1.73-340.11, p = 0.03). Conclusions: Brain fog is associated with symptom severity in COVID-19 survivors and lasts for more than eight months.
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Background & Aims: Epidemics of human viruses began during the period of Neolithic around 12,000 years ago. Humans developed more densely population which allowed viruses to spread rapidly among communities. Also, plant and livestock viruses increased along with human viruses (2). At the January 2020, the coronavirus disease (COVID-19 7th human coronavirus) was discovered in Wuhan, Hubei province of China. COVID-19 virus caused six million deads in the world to date and cussed infection of more than seven million of cases in Iran (1). This infectious disease caused by the SARS-CoV-2 virus. This virus was contagious and fast-spread. Despite the aquarantine politics, SARS-CoV-2 virus caused many permanent economic and health damages in most countries. Coronaviruses are positive-sense, single- stranded enveloped RNA viruses with helical capsids that infect a wide range of hosts including humans, bats, other mammals, and birds (2). Coronaviruses are belonging to Nidovirales order, Coronaviridae family, Coronovirinae subfamily and four genera of alpha, beta, delta, and gamma. Alpha and beta coronaviruses are known as human infection agents. SARS-COV-2 virus abilities are including: high mortality number, short period of incubation, widespread transmission protocols, asymptomatic infection and affecting on most vital organs (heart, brain, lungs and ...) which have attracted the health system attention and caused neglect to the other chronic and non-communicable diseases (4). Therefore, the disease incidence, prevalence and prioritization around the world may change in the future. From the beginning of COVID-19 pandemic, some symptoms and risk-factors have been introduced to the world as the increase elements of morbidity and mortality. Studies have shown that having any kind of underlying diseases and risk factors will be effective in the COVID-19 disease severity and mortality (6). Some of these important risk factors are including of chronic kidney disease, hypertension, age, gender, obesity, obstructive pulmonary diseases, diabetes, lung diseases, cardiovascular diseases, cancer, and liver disease. Also, each risk factors have different impact in different geographic areas (7). Some factors, such as different viral load kinetics in each individual person, epidemiological history, therapeutic or pharmacological effects and immune response have some major impacts on the laboratory diagnostic results. Due to the successive mutations of the SARS-CoV-2 virus and the high incidence disease, it seems that the vaccination alone cannot prevent the COVID-19 (9). On the other hand, the World Health Organization has warned about the vaccination as the only pandemic control protocol. Therefore, the prevalence of morbidity and mortality have become the public health concerns in the world since the beginning of the COVID-19 epidemic and the vaccination. Recognizing of the risk-factors and symptoms on COVID-19 in different geographic areas can be a helpful source to prevent the mortality. Understanding risk factors can help the world to control of the coronaviruses pandemic period and similar situations in the future. Therefore, the aim of this study was to determine the risk-factors of mortality of COVID-19 patients in three cities of Khuzestan province, Iran. Methods: This research was an analytical cross-sectional study. Some details of 27963 COVID-19 patients such as clinical symptoms, individual characteristics and underlying diseases were gathered from hospitals in Abadan, Shadegan and Khorramshahr cities in Khuzestan province, Iran, from 20 February 2020 to November 2020. All the under-study population was previously investigated in terms of COVID-19 infection by the medical examinations and laboratory methods. This under-study population was categorized into three different groups such as hospitalized, outpatients and dead patients. Hospitalized patients have admitted in general or ICU (Intensive Care Unit) sector. Obtained database of COVID-19 patients was analyzed by IBM SPSS version 22.0 under regression, logistic model (u
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Background: COVID-19 has spread rapidly throughout the world with high morbidity and mortality estimated up to 20%. This number will increase with the presence of comorbidities. Comorbidities were associated with complex clinical management and impacted on COVID-19 disease outcomes. This study aims to determine the association between comorbidities and the outcome of COVID-19 patients at Dr. M. Djamil Hospital. Method: We conducted an observational study with a retrospective cohort design on COVID-19 patients treated at Dr. M. Djamil Hospital. Data were taken from medical records from January to March 2021. Association between comorbidities and the outcome of COVID-19 patients was analyzed by Chi-Square or Fisher Exact Test. Results: The majority patientss were female (56.4%) and ages above 50 years old (64.3%) were the majority of patients. The most common was hypertension (36.56%). The longest length of stay of COVID-19 patients was more than 21 days (52.9%). The outcomes of COVID-19 patients were recovered (59.5%), recovered with sequelae (5.7%), and died (34.8%). Diabetes mellitus affected the end of treatment outcome. There was no relationship of type of comorbidity with length of stay. The more co-morbidities a patient suffers, the condition when infected with COVID-19 will get worse. Conclusion: The number of comorbidities affects the outcome of COVID-19 patients. Diabetes mellitus is most common that affects the end of treatment outcome for COVID-19 patients at Dr. M. Djamil Hospital.
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Introduction: Considering that the new corona virus (COVID -19) is still prevalent, one of the important concerns is the variables affecting the severity of the corona disease in the health of society. In this study, the CART algorithm was fitted to predict and determine the status of patients infected with COVID-19 in Mashhad University of Medical Sciences. Methods: This paper is a cross sectional-analytical study. Datasets were obtained from all of the people referred for the disease of COVID -19 collected at the Sinai system during the second peak and the fourth peak of the disease in Mashhad University of Medical Sciences. Data analysis was performed using JMP statistical software version 13. Then for modeling, data mining methods and CART algorithm are used. Results: The descriptive findings of our study showed that 6% of patients with positive PCR suffer from severe disease of COVID-19. The age variable was very important in the severity of the disease. The age of 60 years old is the cut-off point for the severity of the disease, which increases COVID-19 severe from about 3% under the age of 60 to about 18% over the age of 60. The diseases of heart, kidney, respiratory, blood fat, and diabetes were other important variables. Conclusion: The results of the CART model showed that for the age under 60 years the variables of heart disease, age, diabetes, respiratory disease, fat, gender, and kidney, and for the age over 60 years the variables of age, heart disease, kidney, respiratory and diabetes were respectively the most critical risk factors. According to the ROC curve, the fitted model has a good performance for COVID-19 severe disease, so it increases up to 6 times the prediction of the COVID-19 severe disease.
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Background: Diabetes Mellitus is one of the major non-communicable diseases among patients suffering from COVID-19, which increases the likelihood of hospital admission mortality. While Metformin has been found effective in reducing the mortality associated with COVID-19, there is a need to update the existing meta-analyses and quantitively synthesize the findings regarding the effect of Metformin in reducing mortality. Methods: We undertook a meta-analysis of 21 studies after searching for epidemiological studies systematically in PubMed/Medline, EMBASE, and Science Direct. We used odds ratios and their respective 95% confidence interval (CI) for a binary outcome, which was mortality, to examine the effect of Metformin on mortality. Heterogeneity was assessed using the I2 statistic and Q-test statistics. We evaluated the publication bias using a funnel plot, which was further confirmed by eager test statistics. A p-value of < 0.05 was considered statistically significant. Results: Overall, the findings revealed that Metformin reduced mortality by about 35%, and the results were statistically significant (OR= 0.66;95% CI 0.62 to 0.69;p < 0.05). This revealed that patients who took Metformin had improved survival by more than one-third than those who were not given Metformin. We found a relatively higher heterogeneity with an I2 value of 85.60% (Chi-squared = 138.85). The inverted funnel plot for the findings for the effect of Metformin on mortality was asymmetrical with test statistics for an eager test of -3.64 and a P-value of 0.002. Conclusion: The present updated meta-analysis revealed a positive effect of Metformin in reducing mortality among diabetic patients suffering from COVID-19. However, before implementing Metformin at a larger scale, clinicians and endocrinologists need to assess the risks versus benefits associated with Metformin for diabetic patients of COVID-19. Also, future studies are warranted to investigate the effects of Metformin for non-diabetic patients.
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Background: Good antenatal care helps a woman face labour in good health and optimum conditions. The National Institute for Health and Care Excellence (NICE) and WHO guidelines suggest 15 visits in the whole pregnancy. Keeping in view the COVID-19 pandemic to reduce the exposure of pregnant ladies the number of antenatal visits was reduced to 7 milestone visits and outcome was noted. This study aimed to do a comparative study of feto-maternal outcome in antenatal cases at our centre using standard WHO protocol vs. revised antenatal protocol during COVID-19 pandemic. Subjects and Method: This was an observational study done at a tertiary care center of an Armed forces hospital with target population as pregnant ladies attending antenatal care Out patient department of the hospital during COVID19 pandemic Vs Antenatal cases in previous 1 year. A comparative analysis of pregnancy outcome, maternal variables during pregnancy and delivery along with neonatal variables was done. Results: There were lesser deliveries by 41.7% as compared to non-COVID times. There was an increase in the caesarean delivery rate and instrumental delivery rate during COVID times by 11% and 53% respectively. There was increase in Vaginal birth after caesarean (VBAC) by 26.6%. The incidence of fetal growth restriction, placental abruption, maternal anaemia and gestational diabetes mellitus, oligohydramnios and polyhydramnios was low. The incidence of spontaneous abortions was also low in our study. In contrast, the incidence of pre-term deliveries doubled from 7.4% to 13.4%. Neonatal morbidity and mortality indicators like Neonatal Intensive care unit (NICU) admissions showed a rising trend of 1.7% during the COVID (14.6% to 16.3%) with a minimal rise in early neonatal deaths by 0.2%. Conclusion: Our model doesn't show an increase in maternal, neonatal morbidity, and mortality. This model can be used as a standard of care for Antenatal patients during Pandemics. It reduces the risk exposure of the gravid mother without any significant increase in maternal and neonatal morbidity and mortality.
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Introduction: ending 2019, the first reported cases of Covid-19 broke out in Wuhan, China. This disease may affect directly the cardiovascular system or predispose it to be infected by the SARS-CoV-2. Background: to identify the cardiometabolic predictive factors for mortality in patients with SARS-CoV-2/COVID-19 from Santiago de Cuba city in the period May 2020 throughout May 2021. Method: an analytical cohort study was carried out. It was a co-operative research that involved professionals from the Internal Medicine and Intensive Care Services at the Hospital Clinico Quirurgico "Ambrosio Grillo Portuondo", as well as professionals from the Direccion Municipal de Salud in Santiago de Cuba city. A sample of 120 patients was selected for the identification of cardiometabolic predictive factors for mortality. Data analysis was based on the performance of a multivariate model (multivariate logistic regression). Results: throughout the hospitalization period 15 diseases were reported. Female sex was predominant but statistically we can't associate to the deaths these two gender variables. However, age over 60 years, the arterial hypertension, diabetes mellitus and, in a high rank, the vascular involvement, were observed in a strongly association with mortality (p=0.0001). Conclusions: this research allowed the identification of cardiometabolic predictive factors for mortality in COVID-19, where age over 60 years, vascular involvement (cardiogenic shock), hypertension and diabetes mellitus are the main causal factors in the pathophysiological and statistical explanation of mortality.
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A new coronavirus infection (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) broke out at the end of 2019 in Wuhan (China). The disease has become a global pandemic and claimed more than 6 million lives after spreading rapidly around the world. Issues related to the complicated course of COVID-19 mechanisms continue to be the subject of active study. It is known that morbidity and mortality increase dramatically with increasing age and concomitant diseases, including obesity, diabetes, cancer, and cardiovascular diseases. Although most infected people recover, even young and otherwise healthy patients can get sick with this disease. In this regard, an urgent task is to search for specific genetic factors that can explain the predisposition of people to infection and the development of a severe COVID-19 form. Human genetic determinants can provide the scientific basis for disease prediction and the development of personalized therapies to counteract the epidemic. In addition, cases of repeated infection with SARS-CoV-2 are increasingly being registered, which occurs 1-6 months after initial infection on average and depends on the virus genome structure. Studies conducted on sequencing viral genomes have shown that some patients were re-infected with the same strain of coronavirus, while others were different. This, in turn, causes researchers concerns about the effectiveness of immunity after infection and vaccine reliability. The genetic characteristics of a person and a virus commonly determine the tendency for reinfection. It is difficult to determine the true COVID-19 reinfection prevalence, which is explained by the low detectability of asymptomatic reinfection and the fact that many patients with a mild course of the disease were not tested at an early stage of the pandemic. Therefore, the true prevalence of reinfection with COVID-19 does not reflect the current reality. There are many more cases of reinfection than are described in the literature. In this regard, the true contribution of a virus' genetic features to reinfection of COVID-19 can be determined only after population studies, and when developing immunization programs against a COVID-19, it is necessary to take into account the prevalence of reinfection in the population.
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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: Coronavirus disease 2019 (COVID-19), the highly contagious infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The present study aimed to assess the impact of the COVID-19 pandemic on the nutritional and lifestyle of patients with DM. Material & Method: This cross-sectional observational study was conducted at medicine OPD of Aarupadai veedu medical college, after obtaining consent questionnaire from the patient for the duration of 3 months. Study participants were all the individuals age more than 18yrs with history of diabetes mellitus. The details of participants were recorded in predesigned proforma which included Age, sex, occupation, body mass index (BMI), physical activity, eating behaviour and hygiene habits. Result: In present study total of 200 participants fulfilling inclusion criteria and willing to be part of study were included. The mean age of participants was found to be 55.82+or-13.5yrs. Among them 69% were male and 31% were female participants with male preponderance in the study. 35.5% of the participants responded that they have gained weight of more than 2 kg during pandemic compared to before and 17% responded that they decreased the weight more than 2.5 kg during the pandemic. 75.5% of participants responded with change in quality of food and 79.0% responded with change in quantity of the food., 62% responded with changes in the duration of sleep compared to before pandemic and 66.5% responded with increase in stress related to the infection and pandemic Conclusion: The pandemic lockdown did not show much major changes in overall diabetic control, however there was higher incidence of patients dependent on the carbohydrate diet, stress related to ongoing pandemic with disturbed sleep.
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Background: The ongoing pandemic COVID-19 is more serious for people with comorbidities and the elderly people. Comorbidities such as hypertension, diabetes, cardiovascular disease, and chronic liver disease affect the majority of COVID-19 patients. COVID-19 affected patients having comorbidities are often admitted to ICU for proper treatment. The aim of this study was to evaluate the impact of co-morbidities on Covid-19 Positive Cases Admitted to ICU. Material & Methods: This cross-sectional study was conducted in the Department of Anesthesia and ICU, Shaheed Sheikh Abu Naser Specialized Hospital, Khulna, Bangladesh, during the period from June 2020 to July 2021. A total of 87 patients with covid-19 positive admitted to ICU were included in this study. Results: The majority of the study people were in the age group of 60-69. Most of the study people were male in with co-morbidities group (52.87%) and were female in without co-morbidities group (5.75%). Among 87 patients, 78 (89.6%) had different types of co-morbidities. More than half of the study people (64.37%) had diabetes. We found that the majority of the patients (77.30%) stayed in ICU for less than 15 days. 80.95% of patients with hypertension had to stay in ICU for less than 15 days. Among the patients with diabetes, 73.21% stayed in ICU for less than 15 days. About 8.97% of patients with diabetes were discharged from the hospital. 2.56% of patients with hypertension and diabetes were referred to another hospital. Among the death patients, 58.97% had diabetes and 43.59% had hypertension. Conclusions: Patients with comorbidities were more severely affected and had a higher mortality rate. Age, diabetes mellitus, and hypertension were the main factors affecting the survival of patients.
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The purpose of this experiment was to increase poultry meat production by increasing the number of chickens reared in the same area and managing it by using medicinal herbs Salvia officinalis L and Lavandula angustifolia L. in the broiler chicken diet. 705 one-day-old chicks were randomly distributed into to7 treatments with three replicates for an area of two m2 floor system in each replicate for each treatment, during 35 days of the study. T0 negative control 75 chicks, 25 chicks for each replicate 12-13 chicks per m2 fed standard diet. T1 positive control (stocking density without supplementation)105 chicks, 35 each replicate chicks 17-18 per m2 fed standard diet. The same stocking density for T2, T3, T4, T5, and T6 have been given standard feed with supplemented herbals, salvia 0.7%, 0.9%, lavender0.7%, 0.9%, and mixed 0.7% respectively. Depending on the results, chickens reared in stress stocking density with supplementations led to higher improvement of body weight, meat production, body weight gain (BWG), feed conversion ratio(FCR g feed/g weight), production index PI, carcass weight (g) and dressing percentage, RBCs 106cells/mm3, lymphocyte%, of increasing activity of thyroid hormones T3, T4 (nmol/L) boost antibody titers of ND and IBV when compared with positive control. However, heterophil%, stress indicator H/L ratio, glucose mg/ dL and cholesterol mg/ dL significantly reduced. The results showed that adding sage and lavender plants to broiler feed is effective in improving productivity, immunity, and resistance characteristics in reducing the adverse effects of stress caused by increasing the intensity of broiler rearing in the same area.
ABSTRACT
The study aims to provide the epidemiological characteristics of the COVID-19 patients who admitted to Shahid Dr Hemin Teaching Hospital in Sulaimani city, Iraq. It is a cross-sectional study, the data were collected by a convenience sampling method in the hospital, which started from 2nd October to 31th of December 2020. The current study included all the patients who admitted to the hospital, which involved 371 patients. The data were collected from patient's medical record and a direct interview method was used for filling in the questionnaire form. The collected data were analysed by the SPSS program to produce descriptive statistics such as frequency, percentage, mean and standard deviation while Chi-square test used to find out the association between variables with considering a p-value 0.05 as a significant interpretation. The results show that the age of hospitalized COVID-19 patients ranges from 19-95 years old with mean of (63.69..12.73). The age of majority of patients 159 (42.9%) was between 65-79 years old followed by 50-64 years old 124 (33.4%). Male to female ratio was 2:1. Most of the patients were retired 119 (32.1%) in comparison to other occupations and illiterate patients 151(40.7%) were dominance over other patient's education levels. In addition, majority of patients had hypertension 278(74.9%), diabetes 132 (35.6%) and cardiovascular disease (CVD) 130 (35.0%) and 230 (62.0%) and 141(38.0%) of them were in severe and moderate stage of disease respectively. Also, there was a significant association between the patient's age group and patients' outcome while for gender, occupation, and education level, stage of the disease, there were non-significant. The presence of CVD, hypertension and diabetes increase the mortality rate among the patients. In conclusion, age of COVID-19 patient has a great impact on increasing mortality rate and the presence of comorbidities among the patients significantly raise the mortality rate of COVID-19.