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Context: The COVID-19 pandemic had a profound global impact, leaving a lasting legacy in the form of post-COVID syndrome. This condition, experienced after recovering from the virus, manifests in symptoms, such as fatigue, cough, shortness of breath, joint pain, and brain fog, highlighting the virus's lingering influence on the human body. Aim: To Identify post-COVID syndrome symptoms among COVID-19 recovered patients from Karad Taluka. Materials and methods: A study involving 228 COVID-19-recovered individuals from a Karad tertiary care hospital used consecutive sampling. Data were collected via structured questionnaires, focused on post-COVID syndrome symptoms. Statistical analysis used: Frequency and percentage were used to analyze the presence of post-COVID syndrome symptoms. Results: A total of 228 COVID-19-recovered individuals were included in the study, of whom 53% were male and 47% were female. Most of the study subjects had 25 (10.9%) mild, 138 (60.5%) moderate, and 65 (28.5%) severe symptoms. Symptom-wise, the majority of the subjects experienced symptoms: fatigue 116 (50.8% moderate), shortness of breath 135 (58.3% moderate), cough 116 (50.8%), sore throat 115 (50.4% mild), chest pain (57% mild), joint pain 151 (66.2% severe), brain fog 103 (45% severe). Most (43%) experienced symptoms for 12 months, that is, 1 year. Conclusion: The results depict the recovered individuals continue to experience symptoms. The most common symptoms are fatigue, shortness of breath, and cough in varied severity (from mild, moderate, and severe). How to cite this article: Walvekar SS, Mohite VR. Tracking Health Beyond Recovery: A Study on Identifying Post-COVID Syndrome symptoms. Indian J Crit Care Med 2024;28(2):170-174.

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BACKGROUND: SARS-CoV-2 infection triggers different auto-antibodies, including anti-apolipoprotein A-1 IgGs (AAA1), which could be of concern as mediators of persistent symptoms. We determined the kinetics of AAA1 response over after COVID-19 and the impact of AAA1 on the inflammatory response and symptoms persistence. METHODS: All serologies were assessed at one, three, six and twelve months in 193 hospital employees with COVID-19. ROC curve analyses and logistic regression models (LRM) were used to determine the prognostic accuracy of AAA1 and their association with patient-reported COVID-19 symptoms persistence at 12 months. Interferon (IFN)-α and-γ production by AAA1-stimulated human monocyte-derived macrophages (HMDM) was assessed in vitro. RESULTS: AAA1 seropositivity was 93% at one month and declined to 15% at 12 months after COVID-19. Persistent symptoms at 12 months were observed in 45.1% of participants, with a predominance of neurological (28.5%), followed by general (15%) and respiratory symptoms (9.3%). Over time, strength of correlations between AAA1 and anti-SARS-COV2 serologies decreased, but remained significant. From the 3rd month on, AAA1 levels predicted persistent respiratory symptoms (area under the curves 0.72-0.74; p < 0.001), independently of disease severity, age and gender (adjusted odds ratios 4.81-4.94; p = 0.02), while anti-SARS-CoV-2 serologies did not. AAA1 increased IFN-α production by HMDMs (p = 0.03), without affecting the IFN-γ response. CONCLUSION: COVID-19 induces a marked though transient AAA1 response, independently predicting one-year persistence of respiratory symptoms. By increasing IFN-α response, AAA1 may contribute to persistent symptoms. If and how AAA1 levels assessment could be of use for COVID-19 risk stratification remains to be determined.

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INTRODUCTION: To better define COVID-19 long-term impact we prospectively analysed patient-centred outcomes, including general health and symptom duration. METHODS: Barthel index (BI), St. George's Respiratory Questionnaire adapted to patients with COVID-19 (aSGRQ) and WHO Clinical Progression Scale (CPS) were measured at enrolment and at 6 weeks from the onset of symptoms. Persistence of most frequently reported symptoms was assessed at 6 weeks and, among symptomatic patients, at 12 weeks from the onset of symptoms. Predictors of impaired general health over time were identified using an ordinal multilevel multivariate model. RESULTS: A total of 448 patients (55% men, median age 56 years) were enrolled. WHO-CPS showed mild, moderate and severe disease in 48%, 42% and 10% of patients at admission and mild disease in all patients at follow-up, respectively. BI and aSGRQ were normal in 96% and 93% patients before COVID-19 but only in 47% and 16% at COVID-19 diagnosis and in 87% and 65% at 6-week follow-up. Male gender was identified by all three assessments as a predictor of impaired general health (BI, OR 2.14, p < 0.0001; aSGRQ, OR 0.53, p = 0.003; WHO-CPS, OR 1.56, p = 0.01). Other predictors included age, ICU admission and comorbidities (e.g. cardiovascular disease and cancer) for BI, hospital admission for aSGRQ, age and presence of comorbidities for WHO-CPS. At 6- and 12-week follow-up, 39% and 20% of patients, respectively, were still reporting symptoms. Fatigue and breathlessness were the most frequently reported symptoms. CONCLUSIONS: Long-term follow-up facilitates the monitoring of health impairment and symptom persistence and can contribute to plan tailored interventions.