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The current COVID-19 climate has caused an unforeseen supply shortage of iodinated contrast media (ICM) worldwide, disrupting global distribution.1 In addition, the scarcity has resulted in a ripple effect in healthcare facilities such as radiology departments where ICM is required to perform contrast-enhanced examinations. ICM plays a significant part in contrast-enhanced CT, angiography and fluoroscopic procedures within the radiology department, holding a primary role in the differentiation and diagnosis of pathologies which range from pulmonary emboli to tumours.1 Its use extends beyond radiology, where ICM is heavily relied on in cardiology, urology and gastrointestinal studies, further highlighting the heavy dependence on the critical agent.2 With the global increase in the number of CT examinations requested, where approximately 60% of studies require ICM, optimal usage of ICM must be considered to meet heightened demand.3 The shortage has represented an opportunity for imaging providers to re-examine current imaging protocols and identify whether non-contrast imaging, alternative contrast agents and other imaging modalities could be viable options moving forward.1,2 Additionally, current literature has discussed volume-reduction strategies and dual-energy use in newer-generation CT scanners to conserve ICM.1,4 This review will explore currently proposed solutions that can be implemented in the radiology department to maximise ICM supply with minimal impact on patient care.
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Background: Easy availability, low cost, and low radiation exposure make chest radiography an ideal modality for coronavirus disease 2019 (COVID-19) detection. Objective(s): In this study, we propose the use of an artificial intelligence (AI) algorithm to automatically detect abnormalities associated with COVID-19 on chest radiographs. We aimed to evaluate the performance of the algorithm against the interpretation of radiologists to assess its utility as a COVID-19 triage tool. Material(s) and Method(s): The study was conducted in collaboration with Kaushalya Medical Trust Foundation Hospital, Thane, Maharashtra, between July and August 2020. We used a collection of public and private datasets to train our AI models. Specificity and sensitivity measures were used to assess the performance of the AI algorithm by comparing AI and radiology predictions using the result of the reverse transcriptase-polymerase chain reaction as reference. We also compared the existing open-source AI algorithms with our method using our private dataset to ascertain the reliability of our algorithm. Result(s): We evaluated 611 scans for semantic and non-semantic features. Our algorithm showed a sensitivity of 77.7% and a specificity of 75.4%. Our AI algorithm performed better than the radiologists who showed a sensitivity of 75.9% and specificity of 75.4%. The open-source model on the same dataset showed a large disparity in performance measures with a specificity of 46.5% and sensitivity of 91.8%, thus confirming the reliability of our approach. Conclusion(s): Our AI algorithm can aid radiologists in confirming the findings of COVID-19 pneumonia on chest radiography and identifying additional abnormalities and can be used as an assistive and complementary first-line COVID-19 triage tool.Copyright © Cancer Research, Statistics, and Treatment.
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Objectives: Severe acute respiratory syndrome-coronavirus 2/COVID-19 infection is still a global concern, with pregnant women are considered as vulnerable population. Until now, the characteristics of pregnant women in Indonesia who are infected with COVID-19, as well as pregnancy and neonatal outcomes, are still unknown. This study aims to obtain national data, which are expected to be useful for the prevention and management of COVID-19 in pregnant women in Indonesia. Method(s): There were 1,427 patients recruited in this retrospective multicenter study. This study involved 11 hospitals in 10 provinces in Indonesia and was carried out using secondary patient data from April 2020 to July 2021. COVID-19 severity was differentiated into asymptomatic-to-mild symptoms and moderate-to-severe symptoms. The collected data include maternal characteristics, laboratory examinations, imaging, pregnancy outcomes, and neonatal outcomes. Result(s): Leukocyte, platelets, basophil, neutrophils segment, lymphocytes, monocytes, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, alanine aminotransferase (ALT), aspartate aminotransferase (AST), C-reactive protein (CRP), urea, and creatinine were found to be significantly associated with severity differences (p < 0.05). Moderate-severe symptoms of COVID-19 also shown to have suggestive pneumonia findings on chest X-ray findings. Patients with asymptomatic-to-mild symptoms had significantly (p < 0.001) higher recovery rate, shorter hospital stay, less intensive care unit (ICU) admission, and had more vaginal delivery. Neonates from mother with mild symptoms also had significantly (p < 0.001) higher survival rate, higher birth weight, and higher APGAR score. Conclusion(s): Several laboratory and radiology components, as well as maternal and neonatal outcomes are related to the severity of COVID-19 in pregnant women in Indonesia.Copyright © The Author(s). 2023.
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The physical aspects of ultrasonography, difficult posture with prolonged pressure exertion, have been extensively researched and addressed with advances in machine ergonomics, operator awareness of posture and positioning and workplace tools to identify musculoskeletal problems. The mental stresses are less well recognized and have only recently started getting investigated. Ultrasonography is a mentally challenging activity requiring long periods of intense concentration, empathy and communication of complex and often difficult information to patients and clinicians, all of which carries an emotional toll. Practitioners are also under increasing time and caseload pressures exacerbated by COVID recovery and chronic fatigue from two years of pandemic. A survey of UK obstetric sonographers showed 92.1% and 91.0% met the burnout thresholds for exhaustion and disengagement, respectively).1 While many Trusts provide training to support physical health, few radiology departments educate their staff on emotional resilience or offer regular support to either promote or maintain mental wellbeing. Training, when available, is often focused on the receiver and not on the impact of vicarious traumas experienced as a result of repeatedly discovering/delivering difficult outcomes to patients on a regular and prolonged basis. Few health professionals are face-to-face with their patient at point of significant discovery whether that information is imparted to the patient or not. Mental health professionals have adopted a traumainformed stance into their working practices. This has not only informed the direct clinical work with patients but is also evident in the way the workforce is supported by the trust. Regular supervision, reflective practice and debriefs are required and monitored by the trust, based on research in clinical psychology to inform best practice. Some of these practices could be applied to physical health professionals to address some of the emotional burdens experienced as part of day-to-day delivery of care.
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Objective: In this study, the effect of having had coronavirus disease-2019 (COVID-19) disease on anti-vaccination was investigated. Material and Methods: The study was conducted between February 2022-August 2022 in the COVID chest diseases clinic in our hospital. The cases who were COVID-19 vaccine hesitancy and not vaccinated against COVID-19 hospitalized in our clinic were included in the study. The level of anti-vaccination of the cases was measured with the Vaccine Hesitancy Scale (VHS). In addition, demographic informations such as age, gender, educational status, marital status, number of people living in the household, average monthly income, smoking history, and additional chronic diseases were recorded. Routine radiological and laboratory examinations, follow-up times in the clinic, and treatment results were recorded for cases like all patients hospitalized in our COVID chest diseases clinic. Results: 46 cases were included in the study. The mean age of the cases was 54.63+or-14.81 years, 24 (52.1%) were female. VHS was applied to all cases at the time of hospitalization. Since 6 cases were referred to the intensive care unit due to respiratory failure, the second VHS could not be applied to these cases, and these 6 cases were excluded from the study. A 2nd VHS was performed in the remaining 40 patients just before discharge. Each question score, A-B-C section score and total scale score were compared for the pre-COVID-19 and post-COVID-19 cases. While the VHS total score before COVID-19 infection was 36.48+or-7.36, the post-COVID-19 total score was found to be 25.65+or-9.10, a statistically significant decrease was observed (p < 0.001). It was observed that the mean scores of A-B-C decreased statistically in all sections (p < 0.001). Conclusion: As a result of our study, we found that the degree of anti-vaccine resistance decreased after the patients who were against the COVID-19 vaccine had the disease. As a result of our study, we found that the degree of COVID-19 vaccine hesitancy of patients decreased after they had the disease. We believe that conducting similar studies and sharing their results through mass media, can change the perspective of vaccine hesitancy individuals in society on this situation, especially during pandemic periods.
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During the COVID-19 Pandemic, the need for rapid and reliable alternative COVID-19 screening methods have motivated the development of learning networks to screen COVID-19 patients based on chest radiography obtained from Chest X-ray (CXR) and Computed Tomography (CT) imaging. Although the effectiveness of developed models have been documented, their adoption in assisting radiologists suffers mainly due to the failure to implement or present any applicable framework. Therefore in this paper, a robotic framework is proposed to aid radiologists in COVID-19 patient screening. Specifically, Transfer learning is employed to first develop two well-known learning networks (GoogleNet and SqueezeNet) to classify positive and negative COVID-19 patients based on chest radiography obtained from Chest X-Ray (CXR) and CT imaging collected from three publicly available repositories. A test accuracy of 90.90%, sensitivity and specificity of 94.70% and 87.20% were obtained respectively for SqueezeNet and a test accuracy of 96.40%, sensitivity and specificity of 95.50% and 97.40% were obtained respectively for GoogleNet. Consequently, to demonstrate the clinical usability of the model, it is deployed on the Softbank NAO-V6 humanoid robot which is a social robot to serve as an assistive platform for radiologists. The strategy is an end-to-end explainable sorting of X-ray images, particularly for COVID-19 patients. Laboratory-based implementation of the overall framework demonstrates the effectiveness of the proposed platform in aiding radiologists in COVID-19 screening. Author
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BACKGROUND: Particularly at the beginning, the COVID-19 (coronavirus disease 2019) pandemic caused a reduction in the number of interventions in interventional radiology. At the same time, interventional training became more challenging. Infectious patients and disease transmission within interventional radiology departments continue to pose significant challenges. OBJECTIVES: This article describes the status and recommendations for interventional radiological procedures in COVID-19 patients. MATERIALS AND METHODS: Guidelines and recommendations from international and national societies as well as original works and reviews were evaluated. RESULTS: Interventional radiological care of COVID-19 patients with complicated courses of infection has become established during the course of the pandemic. To protect patients and staff, interventions in COVID-19 patients should be prioritized, performed in separate procedure rooms if possible, and patients should be tested before interventions. Logistics, staff planning, and hygiene measures should be continuously optimized. CONCLUSIONS: Structured workflows within interventional radiology in dealing with COVID-19 patients appear necessary to minimize infection risks and to guarantee the staff's work capability and health. In order to develop concepts for the handling of COVID-19 patients and to be prepared for potential upcoming waves of infections, recommendations of the Robert Koch Institute (RKI) and (inter-)national professional societies are helpful.
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Introduction Despite the fact that smoking has been identified as a risk factor for respiratory diseases and lung infections, the relationship between smoking and coronavirus severity remains ambiguous. It is believed that smoking is a risk factor for pulmonary infections. However, the effect of smoking on COVID-19 patients is still controversial. Objective The aim of the study was to identify and analyze the distinct radiological features in COVID-19 patients with different smoking statuses. Additionally, the study sought to examine the association between smoking and the severity of pulmonary changes. Methods A retrospective cohort study of 111 patients who were referred to Al-Salt/Hussein Hospital, Al-Salt, Jordan, from January to June 2021, with a confirmed COVID-19 diagnosis and smoking status recorded. Patients' demographics, medical history, age, gender, comorbidity, and length of hospitalization were obtained from their medical records. Results Study groups were similar in median age, prevalence of chosen chronic diseases, and median length of hospital stay. Based on the median scores of the radiological findings in each lung lobe, no statistically significant differences were found between the scores and smoking status (p-values of >0.05; Mann-Whitney test). Conclusion Smoking is an independent risk factor for the severity of COVID-19. Smoking has no noticeable impact on interstitial manifestation in COVID-19 patients.
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Owing to coronavirus disease 2019 (COVID-19), lung damage is seen as an important problem in patients after recovery. In this study, evaluation of respiratory symptoms and lung ultrasonography (LUS) findings of those who have had symptomatic and asymptomatic COVID-19 disease in children was aimed. A total of 81 patients with positive and 18 healthy children with negative COVID-19 antibodies were included to the study. The most common late presentation symptoms were cough (85.2%), shortness of breath (77.8%), and chest pain (60.5%). In LUS, 2 or less B lines, 3 or more B lines, and Z line were seen in 66.7%, 33.3%, and 9.9% of patients, respectively. There was no significant difference between control and patients in terms of these parameters (P > .05). Pleural effusion was detected in 2 patients in the late period. Respiratory system findings may develop in the late period in patients infected with COVID-19. Therefore, patients should be followed closely.
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Coronavirus outbreaks during the last couple of years created a huge health disaster for human lives. Diagnosis of COVID-19 infections is, thus, very important for the medical practitioners. For a quick detection, analysis of the COVID-19 chest X-ray images is inevitable. Therefore, there is a strong need for the development of a multiclass segmentation method for the purpose. Earlier techniques used for multiclass segmentation of images are mostly based on entropy measurements. Nonetheless, entropy methods are not efficient when the gray-level distribution of the image is nonuniform. To address this problem, a novel adaptive class weight adjustment-based multiclass segmentation error minimization technique for COVID-19 chest X-ray image analysis is investigated. Theoretical investigations on the first-hand objective functions are presented. The results on both the biclass and multiclass segmentation of medical images are enlightened. The key to our success is the adjustment of the pixel counts of different classes adaptively to reduce the error of segmentation. The COVID-19 chest X-ray images are taken from the Kaggle Radiography database for the experiments. The proposed method is compared with the state-of-the-art methods based on Tsallis, Kapur's, Masi, and Renyi entropy. The well-known segmentation metrics are used for an empirical analysis. Our method achieved a performance increase of around 8.03% in the case of PSNR values, 3.01% for FSIM, and 4.16% for SSIM. The proposed technique would be useful for extracting dots from micro-array images of DNA sequences and multiclass segmentation of the biomedical images such as MRI, CT, and PET.
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Background/Aims The COVID-19 pandemic has placed unprecedented pressures on NHS departments, with demand rapidly outstripping capacity. The British Society for Rheumatology 'Rheumatology Workforce: a crisis in numbers (2021)' highlighted the need to provide innovative ways of delivering rheumatology specialist care. At University College London Hospitals (UCLH) we created a rheumatology multidisciplinary team (MDT) clinic to meet rising demands on our service. The aims of the Rheumatology MDT clinic were to: reduce new appointment/follow-up waiting times, increase clinic capacity, incorporate musculoskeletal (MSK) point of care ultrasound, reduce number of hospital visits and add value to each clinic encounter. Methods We ran a 6-month pilot, supported by our outpatient transformation team, incorporating a Rheumatology Advanced Practice Physiotherapist (APP), Clinical Nurse Specialist (CNS) and MSK ultrasound within a Consultant clinic. The success of the pilot helped secure funding for a further 12 months. Over 18 months we have implemented: APP/Consultant enhanced triage - up to 40% of referrals were appropriate for APP assessment, including regional MSK problems and back pain. This increased capacity for consultant-led appointments. Standardisation of time-lapse between CNS and consultant follow-up appointments to ensure appropriate spacing between patient encounters. Facilitated overbooking of urgent cases afforded by additional capacity provided by the APP. MSK ultrasound embedded in the clinic template. 'Zoom' patient education webinars facilitated by MDT members and wider disciplines e.g. dietetics, to empower self-management and reduce the administrative burden of patient emails/phone calls occurring outside the clinic. Patient participation sessions and feedback to help shape the service. Results During the 6-month pilot we reduced our waiting time for follow-up appointments from 9 months to 2. We now have capacity to book 1-2 urgent cases each week. Pre-MDT the average wait from consultant referral to physiotherapist appointment was 55 days. The MDT allows for same day assessment (reducing 2-3 patient journeys a clinic) and where suitable, facilitates discharge or onwards referral to the appropriate service. A dedicated MDT CNS has shortened treatment times, reduced email traffic between CNS and consultant and allows for same day, joint decision-making resulting in fewer appointments. Zoom webinar feedback has been positive. Patients value the broad expertise of allied health professionals which supports self-management. Embedding ultrasound allows for same day diagnostics, decreased referrals to radiology and reduced hospital visits. Conclusion Our MDT model has reduced waiting lists, decreased treatment delays and cut hospital attendances. Point of care ultrasound allows for same day decision making and abolishes the cost and diagnostic delay associated with referrals to radiology or outsourced providers. Shared decision-making adds value to outpatient attendances, which is reflected in patients' positive feedback. The MDT model maximises the existing workforce skill set by enhancing the APP and CNS role, allowing patients immediate access to their expertise.
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Objectives: COVID-19 posed profound challenges to nuclear medicine (NM) practice and education on an international scope. Initial lessons learned may be useful in understanding and optimizing dissemination of critical information during global disasters. To better understand the pandemic's initial manifold impact and responses that were in turn enacted, we systematically reviewed relevant articles published during the 2020 calendar year. Method(s): A librarian experienced in systematic reviews performed a rapid scoping review of the English language literature indexed in PubMed, Embase and Web of Science by crossing NM and COVID terms;445 citations were returned. Duplicate, extraneous, non-English and non-full text articles were excluded leaving 248 articles which were analyzed by origin, topic, design, and imaging details. Result(s): An array of topics, techniques, journals and countries of origin were encountered. 158 articles appeared in primary NMjournals, 26 appeared in generic radiology journals and 65 in non-imaging journals. Most frequent countries represented were USA (55), Italy (33), France (19) and UK (17), reflecting the hard-hit countries early during the pandemic. 118 clinical articles were case reports or small series of which 80 featured FDG-PET/CT. There were 36 observational studies. Among non-clinical topics, articles focused on safetymeasures (102), economics and recovery (23), remote reading (17) and education (8). There were 17 surveys. Society-based guidelines (47) and individual-group best practices (79) were published relating to cardiology (33), lung scintigraphy (12), andmultiple topics (48). Systematic (10) and narrative reviews (61) were less frequent than opinion articles (75). Frequent modalities discussed were FDG PET (156), nuclear cardiology (56) and lung scintigraphy (35). Conclusion(s): The medical literature has memorialized a robust response of information sharing during the initial challenges the COVID-19 pandemic relating to patient care, operations and education. Through scoping review, we have analyzed the nature of information disseminated. Opinions and single group best practices dominated the literature. Clinical reports during the first year were primarily case reports or small series, frequently FDG-PET/ CT. The nature of the literature matured as the year progressed, and sources of information broadened as the epidemic spread.
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Introduction: Splenic rupture is a potentially life-threatening condition often associated with trauma or viral infection. Most cases of splenic rupture are due to trauma, viral infection, lymphoproliferative disease, malaria, tick borne illness, splenic neoplasms, connective tissue disease, or in one case, sneezing. Spontaneous splenic rupture (SSR) is a rare condition with less than five cases reported. In this case, we present a 20-year-old male who was seen with abdominal pain who was found to have an SSR with no clear etiology. Case Description/Methods: A 20-year-old male with no relevant past medical history presented with abdominal pain that radiated to the left shoulder. The patient reported the pain began after an episode of emesis which occurred 12 hours prior to arrival. He reported experiencing shortness of breath and pain on inspiration. He denied any fall or trauma, recent travel or sick contacts, fevers, weight loss, or night sweats. His social history was significant for occasional marijuana use. Upon physical exam, the patient had diffuse abdominal tenderness most pronounced in the left upper quadrant without any palpable masses. Relevant labs included a hemoglobin of 12.2, WBC count within normal limits and unremarkable manual differential, and an INR of 1. Blood parasite, heterophile antibodies, COVID, influenza, CMV, and HIV were negative. Computed tomography angiography (CTA) revealed hematoma at the splenic hilum. Interventional radiology was consulted and did not recommend intervention at time of initial presentation. Patient was admitted;his hemoglobin remained stable and he was monitored with serial abdominal exam then discharged the following day. Imaging was repeated one month later which revealed near complete resolution of hematoma. (Figure) Discussion: SSR should be considered on the differential diagnosis of physicians when encountering patients who present with LUQ pain with unclear etiology. The patient presented with the characteristic Kehr's sign (left diaphragmatic irritation resulting in referred pain to the left shoulder) but not the Ballance sign (palpable tender mass in the left upper quadrant). The incidence of SSR is estimated to be around 1 to 7% with a mortality rate of 12.2% so a broad differential for young patients presenting with abdominal pain must be entertained and should include splenic rupture as it is a potentially life-threatening condition.
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The most severe symptoms of COVID-19 manifest as acute respiratory disease. Evaluation of the lungs and consequently medical imaging is imperative for patients, and therefore radiology became the cornerstone of diagnosis and disease monitoring during the pandemic. Due to the transmissibility of the coronavirus, physical examinations of patients were kept at a minimum to reduce exposure, and radiological exams such as radiographs and CT scans became the preferred method to better track disease progress in patients. This chapter follows the diagnostic radiology response to the COVID-19 pandemic. It also details the problems faced by the department and the response to those challenges, and crucially, it highlights lessons learned from both successful and suboptimal responses with the aim of learning and being better prepared for future pandemics. © SBH Health System 2022.
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COVID-19 pandemic has led to a concerning surge of post-COVID-19 AIFR. Mucormycosis (BLACK fungus) is a rare but severe and life-threatening fungal infection occurred by mucormycetes, a family of moulds. More than 49,000 cases of AIFR were reported in three months in India. It primarily affects diabetics and spreads from the nasal cavity and paranasal sinuses (PNS). It also involves eye, palate, or brain. It is diagnosed clinically followed by radiological and pathological findings. We aimed to compare and analyse the pre-operative imaging with postoperative histopathological findings. The study was conducted in ENT department of tertiary care hospital, Rajkot. 200 patients were randomly selected who were presented to ENT OPD with clinically suspected Post COVID-19 AIFR. All patients underwent detailed ENT examination and radiological modality like MRI PNS, Brain, and Orbit. After proper pre-op evaluation, all patients underwent Functional Endoscopic Sinus Surgery (FESS). MRI findings were confirmed with that of histopathological findings done on KOH mount. All the patients were showing AIFR on MRI findings whereas 49% of patients had mucormycosis on Histopathology. Various other fungal infections like aspergillosis (7%), candidiasis (1.5%) were also found on HPE. 9% of patients showed combined infection with mucor and aspergillus species. Rest of the patients showed non-fungal rhinosinusitis. Inflow of the epidemic, plenty of patients were shown invasive fungal sinusitis in MRI patterns whereas many of them were HPE negative. Thus this study was done to know the efficacy of radiological features with pathological diagnosis. We have considered both procedures standard in our study.
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Background: Magnetic Resonance Imaging (MRI) may be useful as an alternative to perinatal post-mortem autopsy. Our service has high rates of perinatal loss, and low rates of post-mortem autopsy. We have offered post-mortem MRI for the last 5 years, however how MRI is currently being used, have not been reviewed. Aim(s): To describe: (i) the number of perinatal post-mortem MRIs performed, (ii) the reasons for offering MRI, (iii) whether the MRI was contributory to diagnosing cause of perinatal loss or adding extra information. Method(s): Cases were identified crosschecking perinatal loss and radiology data from 2010 to 2021. Anonymised summaries of clinical notes and investigation results of all cases were reviewed by two multidisciplinary groups, each of whom had MRI reports for half of the cases. Congruency of final classification of cause of death was compared and groups reported for each case whether MRI provided new information. Result(s): Between 2018 and 2021 there were 426 perinatal losses, of which 17 were investigated with MRI. In all cases MRI was offered after parents declined autopsy and was performed in addition to other investigations (maternal blood tests, placental karyotype, and histology). MRI changed the final PDC code in 1 case, provided additional findings in 2 cases, confirmed antenatally diagnosed anomalies in 4 cases and was non-contributory to diagnosing cause of death in 11/17 cases. Conclusion(s): In our service, post-mortem MRI has been used infrequently as part of the investigations into perinatal loss. When used, it has been most useful in confirming presence of structural anomalies diagnosed antenatally. Conclusion(s): High COVID-19 community prevalence was associated with increased MROP numbers at our clinical site, but inferences are limited by a lack of standardisation of operative reporting.
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BackgroundThe novel coronavirus causes viral pneumonia characterized by lower respiratory tract symptoms and 19severe inflammatory response syndrome. Studies have suggested that the virus has a clinical course with the stepwise progression of clinical signs and symptoms and radiologic alterations.Case presentationIn the present case report, we discuss two patients who presented with mild symptoms and CT imaging not suggestive of COVID-19, but subsequently had a rapid deterioration, with severe involvement happening in CT imaging. One of the patients survived the initial deterioration, but the other passed away.ConclusionWe suggest that the clinical course of the virus may be rapidly progressive in some patients, and special attention should be paid to patients being treated for the virus outside of the hospital as an outpatient.
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Background: Post-COVID conditions are a wide range of new, returning, or ongoing health problems employees can experience more than four weeks after first being infected with the COVID-19 virus. Long term complications of COVID drastically affects the productivity of working population. Objective(s): A cluster of employees with COVID-19 infection were successively intervened at TATA Motors, Jamshedpur. We aimed to reduce the post COVID complications amongst infected employees thereby reducing the morbidity and improving the productivity at workplace. Method(s): Employees with COVID-19 (confirmed by RAT/ CBNAAT or RT-PCR) were retrospectively enrolled. Based on various international guidelines, Post COVID functional status Scale and Post-COVID Mental Stress Assessment Scale were developed and introduced amongst target population. Employees with poor functional status Scale score (with score 3 and 4) were undergone mandatory preventive health checks (including physical, systemic, radiology/pathology examination). Employees with high mental stress score (with score 15 and above) were undergone psychiatric evaluation. Follow up assessment was done after six months. Result(s): 590 employees who got diagnosed COVID Positive between March 11, 2021, and June 9, 2021, were retrospectively enrolled. Universal sampling method was used for subject selection. The cohort included 519 (88%) men and 71 (12%) women, and the mean age was 45 5 years. The mean number of employees with poor functional status score (score 3 and 4) was 48 (8.1%). The mean number of employees with moderate mental stress score (score 10 to 14) was 27 (4.5%) and severe mental stress score (score 15 to 19) was 11 (1.8%). Employees with history of hospitalization (for more than 3 days) predominantly got diagnosed with poor functional and mental stress score (46 out of total 158 hospitalizations). At the end of six months interventions, around 42 (87%) employees got migrated from poor score category to mild category. The prevalence of major chronic systemic illnesses (3 cases of chronic Cardiac disease, 2 cases of Chronic Respiratory issues and 2 cases of psychiatry illnesses) remained below national prevalence. Conclusion(s): Preventive health interventions are really effective in achieving the prevalence of Post COVID morbidities amongst employees below the average national prevalence. Repeated medical follow up after first and six months of infection ensured better physical and mental wellbeing of employees improving their productivity at workplace. .