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  1. Article ; Online: COVID-19 and ethnicity: A novel pathophysiological role for inflammation.

    Vepa, Abhinav / Bae, Joseph P / Ahmed, Faheem / Pareek, Manish / Khunti, Kamlesh

    Diabetes & metabolic syndrome

    2020  Volume 14, Issue 5, Page(s) 1043–1051

    Abstract: Introduction: There have been recent mounting concerns regarding multiple reports stating a significantly elevated relative-risk of COVID-19 mortality amongst the Black and Minority Ethnic (BAME) population. An urgent national enquiry investigating the ... ...

    Abstract Introduction: There have been recent mounting concerns regarding multiple reports stating a significantly elevated relative-risk of COVID-19 mortality amongst the Black and Minority Ethnic (BAME) population. An urgent national enquiry investigating the possible reasons for this phenomenon has been issued in the UK. Inflammation is at the forefront of COVID-19 research as disease severity appears to correlate with pro-inflammatory cytokine dysregulation. This narrative review aims to shed light on the novel, pathophysiological role of inflammation in contributing towards the increased COVID-19 mortality risk amongst the BAME population.
    Methods: Searches in PubMed, Medline, Scopus, medRxiv and Google Scholar were performed to identify articles published in English from inception to 18
    Results: We suggest a novel pathophysiological mechanism by which acute inflammation from COVID-19 may augment existing chronic inflammation, in order to potentiate a 'cytokine storm' and thus the more severe disease phenotype observed in the BAME population. Obesity, insulin resistance, cardiovascular disease, psychological stress, chronic infections and genetic predispositions are all relevant factors which may be contributing to elevated chronic systemic inflammation amongst the BAME population.
    Conclusion: Overall, this review provides early insights and directions for ongoing research regarding the pathophysiological mechanisms that may explain the severe COVID-19 disease phenotype observed amongst the BAME population. We suggest 'personalization' of chronic disease management, which can be used with other interventions, in order to tackle this.
    MeSH term(s) Betacoronavirus/isolation & purification ; COVID-19 ; Cardiovascular Diseases/physiopathology ; Coronavirus Infections/mortality ; Coronavirus Infections/physiopathology ; Coronavirus Infections/virology ; Ethnicity/statistics & numerical data ; Humans ; Incidence ; Infections/physiopathology ; Inflammation/epidemiology ; Inflammation/virology ; Obesity/physiopathology ; Pandemics ; Pneumonia, Viral/mortality ; Pneumonia, Viral/physiopathology ; Pneumonia, Viral/virology ; SARS-CoV-2 ; Stress, Psychological/physiopathology ; Survival Rate ; United Kingdom/epidemiology
    Keywords covid19
    Language English
    Publishing date 2020-06-30
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 2273766-2
    ISSN 1878-0334 ; 1871-4021
    ISSN (online) 1878-0334
    ISSN 1871-4021
    DOI 10.1016/j.dsx.2020.06.056
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: COVID-19 and ethnicity

    Vepa, Abhinav / Bae, Joseph P. / Ahmed, Faheem / Pareek, Manish / Khunti, Kamlesh

    Diabetes & Metabolic Syndrome: Clinical Research & Reviews

    A novel pathophysiological role for inflammation

    2020  Volume 14, Issue 5, Page(s) 1043–1051

    Keywords Internal Medicine ; Endocrinology, Diabetes and Metabolism ; General Medicine ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ZDB-ID 2273766-2
    ISSN 1878-0334 ; 1871-4021
    ISSN (online) 1878-0334
    ISSN 1871-4021
    DOI 10.1016/j.dsx.2020.06.056
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: A Sensor-Based Screening Tool for Identifying High Pelvic Mobility in Patients Due to Undergo Total Hip Arthroplasty.

    Wang, Xueyang / Qureshi, Arham / Vepa, Abhinav / Rahman, Usama / Palit, Arnab / Williams, Mark A / King, Richard / Elliott, Mark T

    Sensors (Basel, Switzerland)

    2020  Volume 20, Issue 21

    Abstract: There is increasing evidence that pelvic mobility is a critical factor to consider in implant alignment during total hip arthroplasty (THA). Here, we test the feasibility of using an inertial sensor fitted across the sacrum to measure change in pelvic ... ...

    Abstract There is increasing evidence that pelvic mobility is a critical factor to consider in implant alignment during total hip arthroplasty (THA). Here, we test the feasibility of using an inertial sensor fitted across the sacrum to measure change in pelvic tilt, and hence screen for patients with high pelvic mobility. Patients (
    MeSH term(s) Arthroplasty, Replacement, Hip ; Humans ; Middle Aged ; Pelvis/anatomy & histology ; Pelvis/surgery ; Posture ; Range of Motion, Articular ; Spine
    Language English
    Publishing date 2020-10-30
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s20216182
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Mediterranean-Style Diet for the Primary and Secondary Prevention of Cardiovascular Disease: A Cochrane Review.

    Rees, Karen / Takeda, Andrea / Martin, Nicole / Ellis, Leila / Wijesekara, Dilini / Vepa, Abhinav / Das, Archik / Hartley, Louise / Stranges, Saverio

    Global heart

    2020  Volume 15, Issue 1, Page(s) 56

    Abstract: Background: Diet plays a major role in cardiovascular disease (CVD) risk.: Objectives: To determine the effectiveness of a Mediterranean-style diet for the primary and secondary prevention of CVD.: Methods: We searched for randomised controlled ... ...

    Abstract Background: Diet plays a major role in cardiovascular disease (CVD) risk.
    Objectives: To determine the effectiveness of a Mediterranean-style diet for the primary and secondary prevention of CVD.
    Methods: We searched for randomised controlled trials (RCTs) of Mediterranean-style diets in healthy adults and those at increased risk of CVD (primary prevention) and with established CVD (secondary prevention).
    Results: Thirty RCTs were included, 22 in primary prevention and eight in secondary prevention. Clinical endpoints were reported in two trials where there was moderate quality evidence for a reduction in strokes for primary prevention, and low quality evidence for a reduction in total and CVD mortality in secondary prevention. We found moderate quality evidence of improvement in CVD risk factors for primary prevention and low quality evidence of little or no effect in secondary prevention.
    Conclusions: There is still some uncertainty regarding the effects of a Mediterranean-style diet in CVD prevention.
    MeSH term(s) Cardiovascular Diseases/prevention & control ; Diet, Mediterranean ; Humans ; Primary Prevention/methods ; Secondary Prevention/methods
    Language English
    Publishing date 2020-08-12
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 2629633-0
    ISSN 2211-8179 ; 2211-8160
    ISSN (online) 2211-8179
    ISSN 2211-8160
    DOI 10.5334/gh.853
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: COVID-19 and ethnicity: A novel pathophysiological role for inflammation

    Vepa, Abhinav / Bae, Joseph P / Ahmed, Faheem / Pareek, Manish / Khunti, Kamlesh

    Diabetes Metab Syndr

    Abstract: INTRODUCTION: There have been recent mounting concerns regarding multiple reports stating a significantly elevated relative-risk of COVID-19 mortality amongst the Black and Minority Ethnic (BAME) population. An urgent national enquiry investigating the ... ...

    Abstract INTRODUCTION: There have been recent mounting concerns regarding multiple reports stating a significantly elevated relative-risk of COVID-19 mortality amongst the Black and Minority Ethnic (BAME) population. An urgent national enquiry investigating the possible reasons for this phenomenon has been issued in the UK. Inflammation is at the forefront of COVID-19 research as disease severity appears to correlate with pro-inflammatory cytokine dysregulation. This narrative review aims to shed light on the novel, pathophysiological role of inflammation in contributing towards the increased COVID-19 mortality risk amongst the BAME population. METHODS: Searches in PubMed, Medline, Scopus, medRxiv and Google Scholar were performed to identify articles published in English from inception to 18th June 2020. These databases were searched using keywords including: 'COVID-19' or 'Black and Minority Ethnic' or 'Inflammation'. A narrative review was synthesized using these included articles. RESULTS: We suggest a novel pathophysiological mechanism by which acute inflammation from COVID-19 may augment existing chronic inflammation, in order to potentiate a 'cytokine storm' and thus the more severe disease phenotype observed in the BAME population. Obesity, insulin resistance, cardiovascular disease, psychological stress, chronic infections and genetic predispositions are all relevant factors which may be contributing to elevated chronic systemic inflammation amongst the BAME population. CONCLUSION: Overall, this review provides early insights and directions for ongoing research regarding the pathophysiological mechanisms that may explain the severe COVID-19 disease phenotype observed amongst the BAME population. We suggest 'personalization' of chronic disease management, which can be used with other interventions, in order to tackle this.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #636403
    Database COVID19

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  6. Article ; Online: Using Machine Learning Algorithms to Develop a Clinical Decision-Making Tool for COVID-19 Inpatients.

    Vepa, Abhinav / Saleem, Amer / Rakhshan, Kambiz / Daneshkhah, Alireza / Sedighi, Tabassom / Shohaimi, Shamarina / Omar, Amr / Salari, Nader / Chatrabgoun, Omid / Dharmaraj, Diana / Sami, Junaid / Parekh, Shital / Ibrahim, Mohamed / Raza, Mohammed / Kapila, Poonam / Chakrabarti, Prithwiraj

    International journal of environmental research and public health

    2021  Volume 18, Issue 12

    Abstract: Background: Within the UK, COVID-19 has contributed towards over 103,000 deaths. Although multiple risk factors for COVID-19 have been identified, using this data to improve clinical care has proven challenging. The main aim of this study is to develop ... ...

    Abstract Background: Within the UK, COVID-19 has contributed towards over 103,000 deaths. Although multiple risk factors for COVID-19 have been identified, using this data to improve clinical care has proven challenging. The main aim of this study is to develop a reliable, multivariable predictive model for COVID-19 in-patient outcomes, thus enabling risk-stratification and earlier clinical decision-making.
    Methods: Anonymised data consisting of 44 independent predictor variables from 355 adults diagnosed with COVID-19, at a UK hospital, was manually extracted from electronic patient records for retrospective, case-control analysis. Primary outcomes included inpatient mortality, required ventilatory support, and duration of inpatient treatment. Pulmonary embolism sequala was the only secondary outcome. After balancing data, key variables were feature selected for each outcome using random forests. Predictive models were then learned and constructed using Bayesian networks.
    Results: The proposed probabilistic models were able to predict, using feature selected risk factors, the probability of the mentioned outcomes. Overall, our findings demonstrate reliable, multivariable, quantitative predictive models for four outcomes, which utilise readily available clinical information for COVID-19 adult inpatients. Further research is required to externally validate our models and demonstrate their utility as risk stratification and clinical decision-making tools.
    MeSH term(s) Adult ; Algorithms ; Bayes Theorem ; COVID-19 ; Clinical Decision-Making ; Humans ; Inpatients ; Machine Learning ; Retrospective Studies ; SARS-CoV-2
    Language English
    Publishing date 2021-06-09
    Publishing country Switzerland
    Document type Journal Article
    ISSN 1660-4601
    ISSN (online) 1660-4601
    DOI 10.3390/ijerph18126228
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Mediterranean-Style Diet for the Primary and Secondary Prevention of Cardiovascular Disease

    Karen Rees / Andrea Takeda / Nicole Martin / Leila Ellis / Dilini Wijesekara / Abhinav Vepa / Archik Das / Louise Hartley / Saverio Stranges

    Global Heart, Vol 15, Iss

    A Cochrane Review

    2020  Volume 1

    Abstract: Background: Diet plays a major role in cardiovascular disease (CVD) risk. Objectives: To determine the effectiveness of a Mediterranean-style diet for the primary and secondary prevention of CVD. Methods: We searched for randomised controlled trials ( ... ...

    Abstract Background: Diet plays a major role in cardiovascular disease (CVD) risk. Objectives: To determine the effectiveness of a Mediterranean-style diet for the primary and secondary prevention of CVD. Methods: We searched for randomised controlled trials (RCTs) of Mediterranean-style diets in healthy adults and those at increased risk of CVD (primary prevention) and with established CVD (secondary prevention). Results: Thirty RCTs were included, 22 in primary prevention and eight in secondary prevention. Clinical endpoints were reported in two trials where there was moderate quality evidence for a reduction in strokes for primary prevention, and low quality evidence for a reduction in total and CVD mortality in secondary prevention. We found moderate quality evidence of improvement in CVD risk factors for primary prevention and low quality evidence of little or no effect in secondary prevention. Conclusions: There is still some uncertainty regarding the effects of a Mediterranean-style diet in CVD prevention.
    Keywords mediterranean dietary pattern ; cardiovascular disease ; cardiovascular risk factors ; primary prevention ; secondary prevention ; systematic review ; Diseases of the circulatory (Cardiovascular) system ; RC666-701 ; Public aspects of medicine ; RA1-1270
    Language English
    Publishing date 2020-08-01T00:00:00Z
    Publisher Ubiquity Press
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Mediterranean-style diet for the primary and secondary prevention of cardiovascular disease.

    Rees, Karen / Takeda, Andrea / Martin, Nicole / Ellis, Leila / Wijesekara, Dilini / Vepa, Abhinav / Das, Archik / Hartley, Louise / Stranges, Saverio

    The Cochrane database of systematic reviews

    2019  Volume 3, Page(s) CD009825

    Abstract: Background: The Seven Countries study in the 1960s showed that populations in the Mediterranean region experienced lower coronary heart disease (CHD) mortality probably as a result of different dietary patterns. Later observational studies have ... ...

    Abstract Background: The Seven Countries study in the 1960s showed that populations in the Mediterranean region experienced lower coronary heart disease (CHD) mortality probably as a result of different dietary patterns. Later observational studies have confirmed the benefits of adherence to a Mediterranean dietary pattern on cardiovascular disease (CVD) risk factors but clinical trial evidence is more limited.
    Objectives: To determine the effectiveness of a Mediterranean-style diet for the primary and secondary prevention of CVD.
    Search methods: We searched the following electronic databases: the Cochrane Central Register of Controlled Trials (CENTRAL; 2018, Issue 9); MEDLINE (Ovid, 1946 to 25 September 2018); Embase (Ovid, 1980 to 2018 week 39); Web of Science Core Collection (Thomson Reuters, 1900 to 26 September 2018); DARE Issue 2 of 4, 2015 (Cochrane Library); HTA Issue 4 of 4, 2016 (Cochrane Library); NHS EED Issue 2 of 4, 2015 (Cochrane Library). We searched trial registers and applied no language restrictions.
    Selection criteria: We selected randomised controlled trials (RCTs) in healthy adults and adults at high risk of CVD (primary prevention) and those with established CVD (secondary prevention). Both of the following key components were required to reach our definition of a Mediterranean-style diet: high monounsaturated/saturated fat ratio (use of olive oil as main cooking ingredient and/or consumption of other traditional foods high in monounsaturated fats such as tree nuts) and a high intake of plant-based foods, including fruits, vegetables and legumes. Additional components included: low to moderate red wine consumption; high consumption of whole grains and cereals; low consumption of meat and meat products and increased consumption of fish; moderate consumption of milk and dairy products. The intervention could be dietary advice, provision of relevant foods, or both. The comparison group received either no intervention, minimal intervention, usual care or another dietary intervention. Outcomes included clinical events and CVD risk factors. We included only studies with follow-up periods of three months or more defined as the intervention period plus post intervention follow-up.
    Data collection and analysis: Two review authors independently assessed studies for inclusion, extracted data and assessed risk of bias. We conducted four main comparisons:1. Mediterranean dietary intervention versus no intervention or minimal intervention for primary prevention;2. Mediterranean dietary intervention versus another dietary intervention for primary prevention;3. Mediterranean dietary intervention versus usual care for secondary prevention;4. Mediterranean dietary intervention versus another dietary intervention for secondary prevention.
    Main results: In this substantive review update, 30 RCTs (49 papers) (12,461 participants randomised) and seven ongoing trials met our inclusion criteria. The majority of trials contributed to primary prevention: comparisons 1 (nine trials) and 2 (13 trials). Secondary prevention trials were included for comparison 3 (two trials) and comparison 4 (four trials plus an additional two trials that were excluded from the main analyses due to published concerns regarding the reliability of the data).Two trials reported on adverse events where these were absent or minor (low- to moderate-quality evidence). No trials reported on costs or health-related quality of life.Primary preventionThe included studies for comparison 1 did not report on clinical endpoints (CVD mortality, total mortality or non-fatal endpoints such as myocardial infarction or stroke). The PREDIMED trial (included in comparison 2) was retracted and re-analysed following concerns regarding randomisation at two of 11 sites. Low-quality evidence shows little or no effect of the PREDIMED (7747 randomised) intervention (advice to follow a Mediterranean diet plus supplemental extra-virgin olive oil or tree nuts) compared to a low-fat diet on CVD mortality (hazard ratio (HR) 0.81, 95% confidence interval (CI) 0.50 to 1.32) or total mortality (HR 1.0, 95% CI 0.81 to 1.24) over 4.8 years. There was, however, a reduction in the number of strokes with the PREDIMED intervention (HR 0.60, 95% CI 0.45 to 0.80), a decrease from 24/1000 to 14/1000 (95% CI 11 to 19), moderate-quality evidence). For CVD risk factors for comparison 1 there was low-quality evidence for a possible small reduction in total cholesterol (-0.16 mmol/L, 95% CI -0.32 to 0.00) and moderate-quality evidence for a reduction in systolic (-2.99 mmHg (95% CI -3.45 to -2.53) and diastolic blood pressure (-2.0 mmHg, 95% CI -2.29 to -1.71), with low or very low-quality evidence of little or no effect on LDL or HDL cholesterol or triglycerides. For comparison 2 there was moderate-quality evidence of a possible small reduction in LDL cholesterol (-0.15 mmol/L, 95% CI -0.27 to -0.02) and triglycerides (-0.09 mmol/L, 95% CI -0.16 to -0.01) with moderate or low-quality evidence of little or no effect on total or HDL cholesterol or blood pressure.Secondary preventionFor secondary prevention, the Lyon Diet Heart Study (comparison 3) examined the effect of advice to follow a Mediterranean diet and supplemental canola margarine compared to usual care in 605 CHD patients over 46 months and there was low-quality evidence of a reduction in adjusted estimates for CVD mortality (HR 0.35, 95% CI 0.15 to 0.82) and total mortality (HR 0.44, 95% CI 0.21 to 0.92) with the intervention. Only one small trial (101 participants) provided unadjusted estimates for composite clinical endpoints for comparison 4 (very low-quality evidence of uncertain effect). For comparison 3 there was low-quality evidence of little or no effect of a Mediterranean-style diet on lipid levels and very low-quality evidence for blood pressure. Similarly, for comparison 4 where only two trials contributed to the analyses there was low or very low-quality evidence of little or no effect of the intervention on lipid levels or blood pressure.
    Authors' conclusions: Despite the relatively large number of studies included in this review, there is still some uncertainty regarding the effects of a Mediterranean-style diet on clinical endpoints and CVD risk factors for both primary and secondary prevention. The quality of evidence for the modest benefits on CVD risk factors in primary prevention is low or moderate, with a small number of studies reporting minimal harms. There is a paucity of evidence for secondary prevention. The ongoing studies may provide more certainty in the future.
    MeSH term(s) Adult ; Blood Pressure ; Cardiovascular Diseases/blood ; Cardiovascular Diseases/mortality ; Cardiovascular Diseases/prevention & control ; Cholesterol/blood ; Cholesterol, HDL/blood ; Cholesterol, LDL/blood ; Diet, Mediterranean ; Humans ; Primary Prevention/methods ; Randomized Controlled Trials as Topic ; Secondary Prevention/methods
    Chemical Substances Cholesterol, HDL ; Cholesterol, LDL ; Cholesterol (97C5T2UQ7J)
    Language English
    Publishing date 2019-03-13
    Publishing country England
    Document type Journal Article ; Meta-Analysis ; Research Support, Non-U.S. Gov't ; Systematic Review
    ISSN 1469-493X
    ISSN (online) 1469-493X
    DOI 10.1002/14651858.CD009825.pub3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Using Machine Learning Algorithms to Develop a Clinical Decision-Making Tool for COVID-19 Inpatients

    Abhinav Vepa / Amer Saleem / Kambiz Rakhshan / Alireza Daneshkhah / Tabassom Sedighi / Shamarina Shohaimi / Amr Omar / Nader Salari / Omid Chatrabgoun / Diana Dharmaraj / Junaid Sami / Shital Parekh / Mohamed Ibrahim / Mohammed Raza / Poonam Kapila / Prithwiraj Chakrabarti

    International Journal of Environmental Research and Public Health, Vol 18, Iss 6228, p

    2021  Volume 6228

    Abstract: Background: Within the UK, COVID-19 has contributed towards over 103,000 deaths. Although multiple risk factors for COVID-19 have been identified, using this data to improve clinical care has proven challenging. The main aim of this study is to develop a ...

    Abstract Background: Within the UK, COVID-19 has contributed towards over 103,000 deaths. Although multiple risk factors for COVID-19 have been identified, using this data to improve clinical care has proven challenging. The main aim of this study is to develop a reliable, multivariable predictive model for COVID-19 in-patient outcomes, thus enabling risk-stratification and earlier clinical decision-making. Methods: Anonymised data consisting of 44 independent predictor variables from 355 adults diagnosed with COVID-19, at a UK hospital, was manually extracted from electronic patient records for retrospective, case–control analysis. Primary outcomes included inpatient mortality, required ventilatory support, and duration of inpatient treatment. Pulmonary embolism sequala was the only secondary outcome. After balancing data, key variables were feature selected for each outcome using random forests. Predictive models were then learned and constructed using Bayesian networks. Results: The proposed probabilistic models were able to predict, using feature selected risk factors, the probability of the mentioned outcomes. Overall, our findings demonstrate reliable, multivariable, quantitative predictive models for four outcomes, which utilise readily available clinical information for COVID-19 adult inpatients. Further research is required to externally validate our models and demonstrate their utility as risk stratification and clinical decision-making tools.
    Keywords Bayesian network ; COVID-19 ; SARS CoV ; random forest ; risk stratification ; synthetic minority oversampling technique (SMOTE) ; Medicine ; R
    Subject code 310
    Language English
    Publishing date 2021-06-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Predicting mortality, duration of treatment, pulmonary embolism and required ceiling of ventilatory support for COVID-19 inpatients: A Machine-Learning Approach

    Vepa, Abhinav / Saleem, Amer / Rakhshanbabanari, Kambiz / Omar, Amr / Dharmaraj, Diana / Sami, Junaid / Parekh, Shital / Ibrahim, Mohamed / Raza, Mohammed / Kapila, Poonam / Chakrabarti, Prithwiraj / Sedighi, Tabassom / Chatrabgoun, Omid / Daneshkhah, Alireza

    medRxiv

    Abstract: Within the UK, COVID-19 has contributed towards over 103,000 deaths. Multiple risk factors for COVID-19 have been identified including various demographics, co-morbidities, biochemical parameters, and physical assessment findings. However, using this ... ...

    Abstract Within the UK, COVID-19 has contributed towards over 103,000 deaths. Multiple risk factors for COVID-19 have been identified including various demographics, co-morbidities, biochemical parameters, and physical assessment findings. However, using this vast data to improve clinical care has proven challenging. The main aim of this paper is to develop a reliable, multivariable predictive model for COVID-19 in-patient outcomes, to aid risk-stratification and earlier clinical decision-making. Anonymized data regarding 44 independent predictor variables of 355 adults diagnosed with COVID-19, at a UK hospital, was manually extracted from electronic patient records for retrospective, case-controlled analysis. Primary outcomes included inpatient mortality, level of ventilatory support and oxygen therapy required, and duration of inpatient treatment. Secondary pulmonary embolism was the only secondary outcome. After balancing data, key variables were feature selected for each outcome using random forests. Predictive models were created using Bayesian Networks, and cross-validated. The developed Bayesian machine learning models were able to predict, using feature selected risk factors, the probability of inpatient mortality (F1 score 83.7%, PPV 82%, NPV 67.9%); level of ventilatory support required (F1 score varies from 55.8% "High-flow Oxygen level" to 71.5% "ITU-Admission level"); duration of inpatient treatment (varies from 46.7% for greater less than or equal 2 days but<3 days" to 69.8% "less than or equal 1 day"); and risk of pulmonary embolism sequelae (F1 score 85.8%, PPV of 83.7%, and NPV of 80.9% ). Overall, our findings demonstrate reliable, multivariable predictive models for 4 outcomes, that utilize readily available clinical information for COVID-19 adult inpatients. Further research is required to externally validate our models and demonstrate their utility as clinical decision-making tools.
    Keywords covid19
    Language English
    Publishing date 2021-02-20
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2021.02.15.21251752
    Database COVID19

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