Project description:Abstract Symptoms of long coronavirus disease (COVID) were found in 38% of 170 patients followed for a median of 22.6 months. The most prevalent symptoms were fatigue, affected taste and smell, and difficulties remembering and concentrating. Predictors for long COVID were older age and number of symptoms in the acute phase. Long COVID may take many months, maybe years, to resolve.
Project description:Long COVID has become a burden on healthcare systems worldwide. Research into the etiology and risk factors has been impeded by observing all diverse manifestations as part of a single entity. We aimed to determine patterns of symptoms in convalescing COVID-19 patients. Symptomatic patients were recruited from four countries. Data were collected regarding demographics, comorbidities, acute disease and persistent symptoms. Factor analysis was performed to elucidate symptom patterns. Associations of the patterns with patients' characteristics, features of acute disease and effect on daily life were sought. We included 1027 symptomatic post-COVID individuals in the analysis. The majority of participants were graded as having a non-severe acute COVID-19 (N = 763, 74.3%). We identified six patterns of symptoms: cognitive, pain-syndrome, pulmonary, cardiac, anosmia-dysgeusia and headache. The cognitive pattern was the major symptoms pattern, explaining 26.2% of the variance; the other patterns each explained 6.5-9.5% of the variance. The cognitive pattern was higher in patients who were outpatients during the acute disease. The pain-syndrome pattern was associated with acute disease severity, higher in women and increased with age. The pulmonary pattern was associated with prior lung disease and severe acute disease. Only two of the patterns (cognitive and cardiac) were associated with failure to return to pre-COVID occupational and physical activity status. Long COVID diverse symptoms can be grouped into six unique patterns. Using these patterns in future research may improve our understanding of pathophysiology and risk factors of persistent COVID, provide homogenous terminology for clinical research, and direct therapeutic interventions.
Project description:India has a substantial burden of undernutrition coupled with overweight and obesity at the other end of the spectrum of malnutrition. Nuh district, in the Haryana State in northern India, is an impoverished district in India. With an aim to investigate the problem of malnutrition in the community, a cross-sectional study was conducted in four villages of the Nuh district. Height/length, weight, and age data of children under 5 years were used to calculate three indices: weight-for-age, height-for-age, and weight-for-height. The body mass index was calculated for individuals older than 6 years. Associations between malnutrition and other factors were assessed using simple and multiple logistic regression to get adjusted coefficients. The total surveyed population comprised 11,496 individuals. Over 51% were female, and 13.2% of the surveyed population were children under 5 years. Almost half of the population was illiterate and unemployed. The prevalences of underweight, stunting, and wasting in children under 5 years were 37%, 53%, and 21%, respectively. The prevalences of underweight and stunting in the 6- to 19-year-old age group were 29% and 38%, respectively. The prevalence of overweight was 36% in the 20- to 40-year-old and > 60-year-old age groups, and 44% in the 41- to 60-year-old age group. Our findings reveal a considerable burden of undernutrition among children under 5 years and a dual burden of undernutrition and overnutrition in adults, highlighting the need to map these areas and sharpen our responses to mitigate the overwhelming and long-term consequences of malnutrition in the Nuh district.
Project description:Background: Post-traumatic stress disorder (PTSD) is the most common psychiatric sequelae among novel coronavirus disease (COVID-19) patients. The aim of this study was to determine the prevalence of PTSD symptoms, PTSD-related factors, and its relationship with quality of life at long-term follow-up in hospitalized COVID-19 survivors. Methods: A cross-sectional study was undertaken to evaluate the health consequences of hospitalized COVID-19 survivors. All participants were interviewed face-to-face through a series of questionnaires: a researcher-developed symptom questionnaire, the Post-traumatic Stress Disorder Checklist-Civilian Version, the Generalized Anxiety Disorder 7-item, and the 36-item Short Form. Results: A total of 574 participants were enrolled with an average age of 57 years. The median follow-up time post-discharge was 193.9 days (SD = 15.32). Among the participants, 77.9% of survivors presented with at least one symptom, where fatigue or muscle weakness (47.9%) was reported the most frequently, followed by chest distress (29.4%) and sleep difficulty (29.4%). The prevalence of PTSD was 11.15% [95% confidence interval (CI): 8.56, 13.73] with a cut-off score of 44. Factors such as respiratory symptoms [odds ratio (OR): 3.53; 95% CI: 1.68-7.42], anxiety (OR: 14.64; 95% CI: 7.09-30.21), and sleep difficulty (OR: 2.17; 95% CI: 1.14-4.16) were positively related to PTSD. Those COVID-19 survivors with potential PTSD had significantly lower quality of life than those without (P < 0.05). Conclusion: Our study illustrated that a significant number of COVID-19 survivors were suffering from physical or mental distress to varying degrees at 6 months post-discharge. People with PTSD were more likely to experience persistent respiratory symptoms and sleep difficulty, as well as anxiety and a decreased quality of life. Such survivors require greater attention to their mental health, particularly the PTSD symptoms at the early phase, which may play an important role in the recovery of both the physical and psychological health of COVID-19 survivors.
Project description:BACKGROUND:Recent studies have documented high variation in epidemiologic transition levels among Indian states with noncommunicable disease epidemic rising swiftly. However, the estimates suffer from non-availability of reliable data for NCDs from sub populations. In order to fill the knowledge gap, the distribution and determinants of NCD risk factors were studied along with awareness, treatment and control of NCDs among the adult population in Haryana, India. METHODS:NCD risk factors survey was conducted among 5078 residents, aged 18-69 years during 2016-17. Behavioural risk factors were assessed using STEPS instrument, administered through an android software (mSTEPS). This was followed by physical measurements using standard protocols. Finally, biological risk factors were determined through the analysis of serum and urine samples. RESULTS:Males were found to be consuming tobacco and alcohol at higher rates of 38.9% (95% CI: 35.3-42.4) and 18.8% (95% CI: 15.8-21.8). One- tenth (11%) (95% CI: 8.6-13.4) of the respondents did not meet the specified WHO recommendations for physical activity for health. Around 35.2% (95%CI: 32.6-37.7) were overweight or obese. Hypertension and diabetes were prevalent at 26.2% (95% CI: 24.6-27.8) and 15.5% (95% CI: 11.0-20.0). 91.3% (95% CI: 89.3-93.3) of the population had higher salt intake than recommended 5gms per day. CONCLUSION:The documentation of strikingly high and uniform distribution of different NCDs and their risk factors in state warrants urgent need for evidence based interventions and advocacy of policy measures.
Project description:SARS-CoV-2 has spread worldwide, causing millions of deaths and leaving a significant proportion of people with long-term sequelae of COVID-19 ("post-COVID syndrome"). Whereas the precise mechanism of post-COVID syndrome is still unknown, the immune response after the first infection may play a role. Here, we performed a long-term follow-up analysis of 110 COVID-19 convalescents, analyzing the first SARS-CoV-2-directed immune response, vaccination status, long-term symptoms (approximately 2.5 years after first infection), and reinfections. A total of 96% of convalescents were vaccinated at least once against SARS-CoV-2 after their first infection. A reinfection rate of 47% was observed, and lower levels of anti-spike IgG antibodies after the first infection were shown to associate with reinfection. While T-cell responses could not be clearly associated with persistent postinfectious symptoms, convalescents with long-term symptoms showed elevated SARS-CoV-2-specific antibody levels at the first infection. Evaluating the immune response after the first infection might be a useful tool for identifying individuals with increased risk for re-infections and long-term symptoms.
Project description:BackgroundIn March 2020, a COVID-19 outbreak linked to mass gathering dinners at the Falles Festival in Borriana, Spain, resulted in an estimated attack rate of 42.6% among attendees.MethodsIn June 2022, we conducted a cross-sectional follow-up study of 473 adults aged 18 to 64 who attended the dinners at the Falles Festival in 2020, examining the cumulative experience after SARS-CoV-2 infection and vaccination responses. Data included demographic details, lifestyle habits, medical history, infection records, and vaccinations from a population-based vaccine registry. Blood samples were analyzed for SARS-CoV-2 antibodies and cellular immunity. We employed a doubly robust inverse-probability weighting analysis to estimate the booster vaccine dose's impact on long COVID prevalence and symptom count.ResultsA total of 28.1% of participants met the WHO criteria for long COVID, with older individuals showing higher rates. Long COVID diagnosis was less likely with factors including O blood group, higher occupational status, physical activity, three vaccine doses, strong SARS-CoV-2-S-reactive IFNγ-producing-CD8+ response, and infection during the Omicron period. Increased age, high or low social activity, underlying health conditions, a severe initial COVID episode, and reinfection were associated with higher long COVID likelihood. A booster dose, compared to one or two doses, reduced long COVID risk by 74% (95% CI: 56% to 92%) and symptom count by 55% (95% CI: 32% to 79%).ConclusionLong COVID was prevalent in a significant portion of those who contracted COVID-19, underscoring the need for sustained follow-up and therapeutic strategies. Vaccinations, notably the booster dose, had a substantial beneficial effect on long-term infection outcomes, affirming the vaccination's role in mitigating SARS-CoV-2 infection consequences.
Project description:Early in the pandemic, the spread of the emerging virus SARS-CoV-2 was causing mild illness lasting less than two weeks for most people, with a small proportion of people developing serious illness or death. However, as the pandemic progressed, many people reported suffering from symptoms for weeks or months after their initial infection. Persistence of COVID-19 symptoms beyond one month, or what is known as long COVID-19, is recognized as a risk of acute infection. Up to date, information on long COVID-19 among Jordanian patients has not been reported. Therefore, we sought to conduct this cross-sectional study utilizing a self-administered survey. The survey asks a series of questions regarding participant demographics, long COVID-19 symptoms, information about pre-existing medical history, supplements, vaccination history, and symptoms recorded after vaccination. Chi square analysis was conducted on 990 responders, and the results showed a significant correlation (P<0.05) between long COVID-19 syndrome and age, obesity, chronic illness, vitamin D intake, number of times infected by COVID-19, number of COVID-19 symptoms and whether the infection was pre or post vaccination. The long-term symptoms most enriched in those with long COVID-19 were tinnitus (73.4%), concentration problems (68.6%) and muscle and joint ache (68.3%).A binomial logistic regression analysis was done to explore the predictors of long COVID-19 and found that age 18-45, marital status, vitamin D, number of COVID-19 symptoms and signs after vaccination are positive predictors of long COVID-19, while zinc intake is a negative predictor. Although further studies on long-term persistence of symptoms are needed, the present study provides a baseline that allows us to understand the frequency and nature of long COVID-19 among Jordanians.
Project description:BackgroundWith the advancement of childhood cancer therapy, long-term survivors are on the rise. Reports on childhood cancer survivors in Saudi Arabia are scarce. This study aims to assess the spectrum and burden of long-term complications among survivors of childhood cancer in Saudi Arabia.MethodsThis cross-sectional study, conducted at multiple cancer centers in Saudi Arabia, enrolled survivors who had been diagnosed with cancer before the age of 14 and had completed at least 5 years after completion of cancer therapy. The primary outcome was to estimate the prevalence of chronic health conditions (CHC) among these survivors. The secondary outcome was to assess the impact of primary cancer diagnosis and cancer therapies on the occurrence of CHC.ResultsA total of 305 survivors met the inclusion criteria as of July 2022. Females were 165 participants. The median follow-up and age at evaluation were 8.5 and 14 years, respectively. Leukemia was the most common cancer type (49.3%), followed by lymphoma (16.7%) and solid tumors (15.7%). Chemotherapy was administered to 287 survivors. Radiotherapy and surgery were used in 29.2% and 22.3% of cases, respectively. Seventy-eight percent of participants experienced at least 1 CHC, with 31.1% and 14.2% having 2 and 3 CHC, respectively. A multivariate logistic regression identified significant association between CHC and solid tumors compared to hematological malignancies (OR 2.2; 95% CI: 1.1-4.3; P = .023). Growth impairment was the most common CHC, followed by endocrinopathy. Radiotherapy was significantly associated with short stature (95% CI: 1.2-3.6; P = .008). The majority of CHC, 77.3%, were mild in severity, while 19.3% were moderate, 2.9% were severe, and .5% were life-threatening.ConclusionThe long-term complications of childhood cancer have revealed a prevalent concern. To optimize health outcomes, it is essential to implement well-structured and long-term follow-up tailored to risk profiles, utilize cost-effective screening methods, and promote prospective clinical research and establishment of a registry.
Project description:Newcastle disease virus (NDV) causes Newcastle disease (ND) in poultry. The ND is a highly contagious disease, which is endemic in several countries despite regular vaccination with live or killed vaccines. Studies on NDV in India are mostly targeted toward its detection and characterization from disease outbreaks. A surveillance study was undertaken to determine NDV prevalence throughout the state of Haryana from March 2018 to March 2020 using a stratified sampling scheme. The state was divided into three different zones and a total of 4,001 choanal swab samples were collected from backyard poultry, commercial broilers, and layers. These samples were tested for the M gene of NDV using real-time RT-PCR. Of the 4,001 samples tested, 392 were positive (9.8% apparent prevalence; 95% CI: 8.9-10.8%) for the M gene. Of these 392 M gene positive samples, 35 (8.9%; 95% CI: 6.4-12.3%) were found to be positive based on F gene real-time RT-PCR. Circulation of NDV in commercial and backyard poultry highlights the importance of surveillance studies even in apparently healthy flocks. The information generated in this study should contribute to better understanding of NDV epidemiology in India and may help formulate appropriate disease control strategies for commercial and backyard birds.