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BACKGROUND: The coronavirus disease 2019 (COVID-19) virus pandemic rapidly spread across the globe since 2020. It was characterized by a number of acute signs and symptoms. There were, however, some new-onset signs and symptoms labelled as "Long COVID". This study was conducted to study its prevalence and associations with blood group. METHODS: A retrospective analysis was conducted in Islamabad for patients diagnosed with COVID-19 in 2020-2021. Information was collected through an online and physical questionnaire regarding personal demographics, symptoms during and after COVID-19, and blood group. The data was analyzed using IBM SPSS Statistics for Windows, Version 25.0 (Released 2017; IBM Corp., Armonk, New York, United States). RESULTS: The study identified 196 participants out of which 48.5% were male and 51% were female, with a median age of 30. Most participants (62.2%) belonged to the Punjabi ethnicity. The mean BMI was 25.56 kg/m2. The majority of the study participants reported having blood group B (n=76) followed by A (n=52). Acute symptoms were experienced by 95.4% of participants, with fatigue being the most persistent symptom at four weeks (45.9%). After four weeks, 63.3% of participants reported new symptoms like hair loss. Females were found more likely to experience long COVID symptoms. The perceived severity of acute infection was significantly associated with long COVID symptoms (p=<0.01). There was no association found between long COVID and blood group (p=0.158). CONCLUSION: There was no association found between long COVID and ABO blood groups. Females were more likely than males to experience long COVID. Long COVID was found to be more likely to develop in those with perceived severe acute infection, highlighting the need for further research regarding aggressive care from the onset of COVID-19 infection.
RESUMO
Background Depression and anxiety are common psychological conditions associated with polycystic ovarian syndrome (PCOS). It is important to understand the role of various demographic and socio-economic factors that contribute to the development of these psychological conditions. Objectives The aims of this study were to determine the prevalence of anxiety and depression in women with PCOS and to find the association of various demographic and socio-economic factors with anxiety and depression. Methods This was a single-center cross-sectional study conducted at a tertiary care hospital in Islamabad, Pakistan, from May 2021 to August 2022. All female patients, aged 18 to 40 years and diagnosed with PCOS, who presented to the department of Gynecology during the study period were eligible to be enrolled in the study. The Hospital Anxiety and Depression scale (HADS) was used to determine the level of anxiety and depression in the participants. HADS comprises 14 items scored on a Likert scale ranging from 0 to 3. Seven items correspond to depression and anxiety each. The scores range from 0 to 21 for both domains. A score of 7 or less was considered normal, 8-10 as borderline, and 11 or above as abnormal for both anxiety and depression. Data were analyzed using IBM SPSS Statistics for Windows, Version 26.0 (IBM Corp., Armonk, NY, USA). Results A total of 74 patients with PCOS were included in the study. The mean age of all the participants was 26.8 ± 5.2 and the mean body mass index (BMI) was 28.7 ± 5.4. The presence of PCOS-related symptoms was observed in all 74 cases. Menstrual cycle abnormalities were the most common symptom, which was present in 57 (77.0%) cases, followed by weight gain, which was present in 50 (67.6%) cases, and hirsutism, which was present in 41 (55.4%) cases. Diabetes mellitus and hypertension were present only in three (4.1%) and two (2.7%) cases, respectively, and positive family history of depression and/or anxiety was reported by 20 (27%) cases. The mean HAD score was 7 ± 3.8 for depression and 8 ± 3.7 for anxiety. Depression was diagnosed in 13 (17.6%) cases, and anxiety was diagnosed in 15 (20.3%) cases. Depression was found to be significantly associated with BMI (p = 0.015), level of education (p = 0.033), and monthly household income (p = 0.004). Anxiety was found to be associated with employment status (p = 0.009) and current pregnancy (p = 0.007). Rest of the factors such as age, marital status, ethnicity, menstrual irregularities, comorbidities such as diabetes mellitus and hypertension, and a family history of PCOS, anxiety, or depression did not show statistically significant association with either anxiety or depression (p < 0.05). Conclusion Anxiety and depression are common in patients with PCOS. These psychological conditions are associated with various demographic and socio-economic factors such as BMI, level of education, monthly household income, employment status, and pregnancy. It is recommended to involve a multidisciplinary team while managing patients with PCOS to timely identify and treat these psychological conditions in these patients.