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Maximiano-Barreto MA, Alqueja Azorli L, Mendes de Paula Pessoa R, Ferreira AA, Ramos Rezende AC, Moretti Luchesi B, Inouye K, Chagas MHN. COVID-19 Frequency in Hospitalized Psychiatric Patients: A Systematic Review. Psychiatry 2024:1-24. [PMID: 39083759 DOI: 10.1080/00332747.2024.2379750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/02/2024]
Abstract
OBJECTIVE The COVID-19 pandemic affected individuals in different contexts (e.g. long-term care facilities, schools, communities), including psychiatric hospitals. Thus, the objective of this systematic review, duly registered and approved on PROSPERO (CRD42023427835), is to assess the frequency of positive COVID-19 cases among patients hospitalized in psychiatric hospitals. METHODS A total of 4,922 articles were identified in the database searches, and 17 studies conducted in psychiatric hospitals from different regions of the world were selected. RESULTS The frequency of positive COVID-19 cases among patients hospitalized in psychiatric hospitals ranged from 1.8% to 98.8%. Out of a total of 19,573 patients hospitalized in psychiatric hospitals, the pooled mean frequency of positive COVID-19 cases was 11.9%. The majority of patients presented COVID-19 symptoms (e.g. cough, fever and others). The COVID-19 diagnosis was primarily conducted through RT-PCR testing in 88.9% of the studies. CONCLUSION In conclusion, there is discrepancy in the methodology of the studies assessing the frequency of positive COVID-19 cases in psychiatric hospitals. However, this review allowed us to understand how the COVID-19 pandemic has impacted the population hospitalized in psychiatric hospitals.
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Raventós B, Fernández-Bertolín S, Aragón M, Voss EA, Blacketer C, Méndez-Boo L, Recalde M, Roel E, Pistillo A, Reyes C, van Sandijk S, Halvorsen L, Rijnbeek PR, Burn E, Duarte-Salles T. Transforming the Information System for Research in Primary Care (SIDIAP) in Catalonia to the OMOP Common Data Model and Its Use for COVID-19 Research. Clin Epidemiol 2023; 15:969-986. [PMID: 37724311 PMCID: PMC10505380 DOI: 10.2147/clep.s419481] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 08/03/2023] [Indexed: 09/20/2023] Open
Abstract
Purpose The primary aim of this work was to convert the Information System for Research in Primary Care (SIDIAP) from Catalonia, Spain, to the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). Our second aim was to provide a descriptive analysis of COVID-19-related outcomes among the general population. Patients and Methods We mapped patient-level data from SIDIAP to the OMOP CDM and we performed more than 3,400 data quality checks to assess its readiness for research. We established a general population cohort as of the 1st March 2020 and identified outpatient COVID-19 diagnoses or tested positive for, hospitalised with, admitted to intensive care units (ICU) with, died with, or vaccinated against COVID-19 up to 30th June 2022. Results After verifying the high quality of the transformed dataset, we included 5,870,274 individuals in the general population cohort. Of those, 604,472 had either an outpatient COVID-19 diagnosis or positive test result, 58,991 had a hospitalisation, 5,642 had an ICU admission, and 11,233 died with COVID-19. A total of 4,584,515 received a COVID-19 vaccine. People who were hospitalised or died were more commonly older, male, and with more comorbidities. Those admitted to ICU with COVID-19 were generally younger and more often male than those hospitalised and those who died. Conclusion We successfully transformed SIDIAP to the OMOP CDM. From this dataset, a general population cohort of 5.9 million individuals was identified and their COVID-19-related outcomes over time were described. The transformed SIDIAP database is a valuable resource that can enable distributed network research in COVID-19 and beyond.
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Affiliation(s)
- Berta Raventós
- Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Universitat Autònoma de Barcelona, Bellaterra (Cerdanyola del Vallès), Barcelona, Spain
| | - Sergio Fernández-Bertolín
- Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - María Aragón
- Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Erica A Voss
- Janssen Pharmaceutical Research and Development, Titusville, NJ, USA
- Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, the Netherlands
- OHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA
| | - Clair Blacketer
- Janssen Pharmaceutical Research and Development, Titusville, NJ, USA
- Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, the Netherlands
- OHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA
| | - Leonardo Méndez-Boo
- Sistemes d’Informació dels Serveis d’Atenció Primària (SISAP), Institut Català de la Salut, Barcelona, Spain
| | - Martina Recalde
- Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Elena Roel
- Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Universitat Autònoma de Barcelona, Bellaterra (Cerdanyola del Vallès), Barcelona, Spain
| | - Andrea Pistillo
- Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
| | - Carlen Reyes
- Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | | | | | - Peter R Rijnbeek
- Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, the Netherlands
- OHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA
| | - Edward Burn
- Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Centre for Statistics in Medicine, University of Oxford, Oxford, UK
| | - Talita Duarte-Salles
- Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, the Netherlands
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Getahun GK, Dinku A, Jara D, Shitemaw T, Negash Z. Magnitude and associated factors of mortality among patients admitted with COVID-19 in Addis Ababa, Ethiopia. PLOS GLOBAL PUBLIC HEALTH 2023; 3:e0000420. [PMID: 37590230 PMCID: PMC10434868 DOI: 10.1371/journal.pgph.0000420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Accepted: 07/19/2023] [Indexed: 08/19/2023]
Abstract
The COVID-19 pandemic continues to grow around the world and has caused enormous mortality and morbidity. The severity and mortality of coronavirus disease are associated with various comorbidities. The infection fatality rate was reported to be inconsistent with different studies. Therefore, the aim of this study was to assess the magnitude and factors associated with mortality among patients admitted to Eka Kotebe General Hospital, Addis Ababa, Ethiopia. An institutional-based cross-sectional study was conducted at Eka Kotebe General Hospital among patients who were admitted for COVID-19 from January 15, 2021, to June 30, 2021. A total of 393 records of patients were selected by simple random sampling. Data was extracted from compiled data forms where available information was already tabulated. Data was entered and analyzed using SPSS version 25. The determinant factors associated with mortality among COVID-19 patients were identified using bivariate and multivariable logistic regression analysis. A statistical association was declared with multivariable logistic regression using a 95% confidence interval and a P-value of less than 0.05. The proportion of COVID-19 mortality among patients admitted to Eka Kotebe General Hospital was 8.1% (95% CI (5.4-10.8%)). Age >50 years [AOR = 7.91; 95% CI (2.34-25.70)], being male [AOR = 2.09; 95% CI (1.20-3.65)], having diabetes mellitus [AOR = 2.64; 95% CI (1.30-5.35)], having hypertension [AOR = 2.67; 95% CI (1.22-5.88)] and having chronic kidney disease [AOR = 12.04; 95% CI (4.03-14.22)] were determinant factors of COVID-19 mortality. The current study findings revealed that COVID-19 mortality was high among hospitalized COVID-19 patients. Furthermore, age, gender, diabetes mellitus, hypertension, and chronic kidney disease were discovered to be independent predictors of COVID-19 mortality. Therefore, older COVID-19 patients and those with established comorbidities such as hypertension, diabetes, and end-stage renal disease should receive comprehensive preventative efforts, including vaccination.
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Affiliation(s)
- Genanew Kassie Getahun
- Menelik II Medical and Health Science College, Kotebe Metropolitan University, Addis Ababa, Ethiopia
| | | | - Dube Jara
- Debre Markos University, Debre Markos, Ethiopia
| | - Tewodros Shitemaw
- Menelik II Medical and Health Science College, Kotebe Metropolitan University, Addis Ababa, Ethiopia
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Mauricio D, Vlacho B, Ortega E, Cos-Claramunt X, Mata-Cases M, Real J, Fernandez-Camins B, Franch-Nadal J. Outcome of COVID-19 infection in people with diabetes mellitus or obesity in the primary care setting in Catalonia, Spain: A retrospective cohort study of the initial three waves. Prim Care Diabetes 2023; 17:12-18. [PMID: 36528549 PMCID: PMC9729647 DOI: 10.1016/j.pcd.2022.12.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Revised: 11/24/2022] [Accepted: 12/01/2022] [Indexed: 12/13/2022]
Abstract
AIM We estimate the incidence and risk factors for fatal and non-fatal events among the COVID-19 infected subjects based on the presence of obesity or diabetes during the initial three epidemiological waves in our region. METHODS This was a retrospective cohort study. A primary care database was used to identify persons with COVID-19. We stratified for subjects who either had diabetes mellitus or obesity. The follow-up period for study events was up to 90 days from inclusion. RESULTS In total, 1238,710 subjects were analysed. Subjects with diabetes mellitus or obesity were older and had a worse comorbidity profile compared with groups without these conditions. Fatal events were more frequent among people with diabetes and during the first wave. In the second and third waves, the number of study events decreased. Diabetes was a risk factor for fatal events in all models, while obesity was only in the model adjusted for age, sex, diabetes and COVID-19 waves. HIV, cancer, or autoimmune diseases were risk factors for mortality among subjects with COVID-19 in the fully-adjusted model. CONCLUSIONS Diabetes was an independent risk factor for mortality among people with COVID-19. The number of fatal events decreased during the second and third waves in our region, both in those with diabetes or obesity.
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Affiliation(s)
- Dídac Mauricio
- DAP-Cat group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain; CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Spain; Department of Endocrinology and Nutrition, Hospital Universitari de la Santa Creu i Sant Pau; Department of Medicine, University of Vic - Central University of Catalonia, Vic, Barcelona, Spain.
| | - Bogdan Vlacho
- DAP-Cat group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain; CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Spain
| | - Emilio Ortega
- DAP-Cat group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain; Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi i Suñer, Hospital Clinic, Barcelona, Spain; CIBER of physiopathology of Obesity and Nutrition (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Spain; Department of Medicine, Universitat de Barcelona, Barcelona, Spain
| | - Xavier Cos-Claramunt
- DAP-Cat group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain; Department of Medicine, Universitat Autonoma de Barcelona, Barcelona, Spain; Innovation office at Institut Català de la Salut, Barcelona, Spain
| | - Manel Mata-Cases
- DAP-Cat group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain; CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Spain; Primary Health Care Center La Mina, Gerència d'Àmbit d'Atenció Primària Barcelona Ciutat, Institut Català de la Salut, Sant Adrià de Besòs, Spain
| | - Jordi Real
- DAP-Cat group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain; CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Spain
| | - Berta Fernandez-Camins
- DAP-Cat group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain; Primary Health Care Center Poblenou, Gerència d'Àmbit d'Atenció Primària Barcelona Ciutat, Institut Català de la Salut, Sant Adrià de Besòs, Spain
| | - Josep Franch-Nadal
- DAP-Cat group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain; CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Spain; Department of Medicine, Universitat de Barcelona, Barcelona, Spain; Primary Health Care Center Raval Sud, Gerència d'Àmbit d'Atenció Primària Barcelona Ciutat, Institut Català de la Salut, Sant Adrià de Besòs, Spain.
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Mora N, Fina F, Méndez-Boo L, Cantenys R, Benítez M, Moreno N, Balló E, Hermosilla E, Fàbregas M, Guiriguet C, Cos X, Rodoreda S, Mas A, Lejardi Y, Coma E, Medina M. "Decline and uneven recovery from 7 common long-term conditions managed in the Catalan primary care after two pandemic years: an observational retrospective population-based study using primary care electronic health records". BMC PRIMARY CARE 2023; 24:9. [PMID: 36641483 PMCID: PMC9840158 DOI: 10.1186/s12875-022-01935-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 12/01/2022] [Indexed: 01/15/2023]
Abstract
BACKGROUND The incidence of chronic diseases during the COVID-19 pandemic has drastically been reduced worldwide due to disruptions in healthcare systems. The aim of our study is to analyse the trends in the incidence of 7 commonly managed primary care chronic diseases during the last 2 years of the COVID-19 pandemic in Catalonia. METHODS We performed an observational retrospective population-based study using data from primary care electronic health records from January 2018 to August 2022 (5.1 million people older than 14 years). We divided the study period into two: a pre-pandemic period (before 14 March 2020) and a pandemic period. We performed a segmented regression analysis of daily incidence rates per 100,000 inhabitants of 7 chronic diseases: type 2 diabetes mellitus (T2DM), asthma, chronic obstructive pulmonary disease (COPD), ischemic heart disease (IHD), heart failure (HF), hypertension and hypercholesterolemia. In addition, we compared annual incidence between pandemic years (2020, 2021 and 2022) and 2019. Associated incidence rate ratios (IRR) were also calculated. Finally, we estimated the number of expected diagnoses during the pandemic period using data from 2019 and we compared it with the observed data. RESULTS We analysed 740,820 new chronic diseases' diagnoses. Daily incidence rates of all 7 chronic diseases were drastically interrupted on 14 March 2020, and a general upward trend was observed during the following months. Reductions in 2020 were around 30% for all conditions except COPD which had greater reductions (IRR: 0.58 [95% CI: 0.57 to 0.6]) and HF with lesser drops (IRR: 0.86 [95% CI: 0.84 to 0.88]). Some of the chronic conditions have returned to pre-pandemic diagnosis levels, except asthma, COPD and IHD. The return to pre-pandemic diagnosis levels compensated for the drops in 2020 for T2DM and HF, but not for hypertension which presented an incomplete recovery. We also observed an excess of hypercholesterolemia diagnoses of 8.5% (95%CI: 1.81% to 16.15%). CONCLUSIONS Although primary care has recovered the pre-pandemic diagnosis levels for some chronic diseases, there are still missing diagnoses of asthma, COPD and IHD that should be addressed.
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Affiliation(s)
- Núria Mora
- Primary Care Services Information Systems (SISAP), Institut Català de la Salut (ICS), Gran Via de Les Corts Catalanes, 587, 08007, Barcelona, Spain
| | - Francesc Fina
- Primary Care Services Information Systems (SISAP), Institut Català de la Salut (ICS), Gran Via de Les Corts Catalanes, 587, 08007, Barcelona, Spain
| | - Leonardo Méndez-Boo
- Primary Care Services Information Systems (SISAP), Institut Català de la Salut (ICS), Gran Via de Les Corts Catalanes, 587, 08007, Barcelona, Spain
| | - Roser Cantenys
- Primary Care Services Information Systems (SISAP), Institut Català de la Salut (ICS), Gran Via de Les Corts Catalanes, 587, 08007, Barcelona, Spain
| | - Mència Benítez
- Primary Care Services Information Systems (SISAP), Institut Català de la Salut (ICS), Gran Via de Les Corts Catalanes, 587, 08007, Barcelona, Spain
- Equip d'Atenció Primària de Gòtic, Institut Català de la Salut (ICS), Barcelona, Spain
| | - Nemesio Moreno
- Primary Care Services Information Systems (SISAP), Institut Català de la Salut (ICS), Gran Via de Les Corts Catalanes, 587, 08007, Barcelona, Spain
| | - Elisabet Balló
- Primary Care Services Information Systems (SISAP), Institut Català de la Salut (ICS), Gran Via de Les Corts Catalanes, 587, 08007, Barcelona, Spain
| | - Eduardo Hermosilla
- Primary Care Services Information Systems (SISAP), Institut Català de la Salut (ICS), Gran Via de Les Corts Catalanes, 587, 08007, Barcelona, Spain
- Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAPJGol), Barcelona, Spain
| | - Mireia Fàbregas
- Primary Care Services Information Systems (SISAP), Institut Català de la Salut (ICS), Gran Via de Les Corts Catalanes, 587, 08007, Barcelona, Spain
| | - Carolina Guiriguet
- Primary Care Services Information Systems (SISAP), Institut Català de la Salut (ICS), Gran Via de Les Corts Catalanes, 587, 08007, Barcelona, Spain
- Equip d'Atenció Primària de Gòtic, Institut Català de la Salut (ICS), Barcelona, Spain
- Universitat de Barcelona, Barcelona, Spain
| | - Xavier Cos
- Direcció Assistencial d'Atenció Primària i a la Comunitat, Institut Català de la Salut (ICS), Barcelona, Spain
- DAP_Cat Research Group, Gerència Territorial Barcelona Ciutat, Institut Català de la Salut, Barcelona, Spain
- Universitat Autònoma de Barcelona, Barcelona, Spain
- CIBERDEM, ISCIII , Madrid, Spain
| | - Sara Rodoreda
- Direcció Assistencial d'Atenció Primària i a la Comunitat, Institut Català de la Salut (ICS), Barcelona, Spain
| | - Ariadna Mas
- Direcció Assistencial d'Atenció Primària i a la Comunitat, Institut Català de la Salut (ICS), Barcelona, Spain
| | - Yolanda Lejardi
- Direcció Assistencial d'Atenció Primària i a la Comunitat, Institut Català de la Salut (ICS), Barcelona, Spain
| | - Ermengol Coma
- Primary Care Services Information Systems (SISAP), Institut Català de la Salut (ICS), Gran Via de Les Corts Catalanes, 587, 08007, Barcelona, Spain.
| | - Manuel Medina
- Primary Care Services Information Systems (SISAP), Institut Català de la Salut (ICS), Gran Via de Les Corts Catalanes, 587, 08007, Barcelona, Spain
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Alkhemeiri A, Al Zaabi S, Lakshmanan J, El-Khatib Z, Awofeso N. COVID-19 Case Management Outcomes Amongst Diabetes and Hypertensive Patients in the United Arab Emirates: A Prospective Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15967. [PMID: 36498037 PMCID: PMC9738357 DOI: 10.3390/ijerph192315967] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 11/22/2022] [Accepted: 11/24/2022] [Indexed: 06/17/2023]
Abstract
The global pandemic of the novel Coronavirus infection 2019 (COVID-19) challenged the care of comorbid patients. The risk imposed by COVID-19 on diabetes patients is multisystemic, exponential, and involves glucose dysregulation. The increased burden for diabetes patients infected with COVID-19 is substantial in countries with a high prevalence of diabetics, such as the United Arab Emirates (UAE). This study aims to explore the prevalence of diabetes, clinical characteristic, and outcomes of patients admitted for COVID-19 treatment with or without a concurrent preadmission diagnosis of diabetes. A prospective study was performed on 1199 adults admitted with confirmed COVID-19 from December 2020 to April 2021 to a single hospital in the UAE. The study compared the demographics, clinical characteristics, and outcomes in COVID-19-infected patients with diabetes to patients without diabetes. The study endpoints include the development of new-onset diabetes, admission to ICU, trends in the blood glucose levels, and death. A total of 1199 patients (390 with diabetes) were included in the study. A diabetes prevalence was detected among 9.8% of the study population. Among the diabetes group, 10.8% were morbidly obese, 65.4% had associated hypertension, and 18.9% had coronary artery disease. Diabetes patients showed higher rates of ICU admission (11.1% vs. 7.1%), NIV requirement (9.6% vs. 6.4%), and intubation (5.45% vs. 2%) compared to the non-diabetes group. Advanced age was a predictor of a worsening COVID-19 course, while diabetes (p < 0.050) and hypertension (p < 0.025) were significant predictors of death from COVID-19. Nearly three-fourths (284 (73.4%)) of the diabetic patients developed worsened hyperglycemia as compared to one-fifth (171 (20.9%)) of the nondiabetic patients. New-onset diabetes was detected in 9.8% of COVID-19 patients. COVID-19 severity is higher in the presence of diabetes and is associated with worsening hyperglycemia and poor clinical outcomes. Preexisting hypertension is a predictor of COVID-19 severity and death.
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Affiliation(s)
- Aysha Alkhemeiri
- Department of Medicine, Tawam Hospital, Abu Dhabi P.O. Box 15258, United Arab Emirates
| | - Shaikha Al Zaabi
- Internal Medicine Department, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai P.O. Box 505055, United Arab Emirates
| | - Jeyaseelan Lakshmanan
- Biostatistics Department, Mohammed Bin Rashed University of Medicine and Health Sciences, Dubai P.O. Box 505055, United Arab Emirates
| | - Ziad El-Khatib
- Department of Global Public Health, Karolinska Institutet, 17176 Stockholm, Sweden
| | - Niyi Awofeso
- School of Health and Environmental Studies, Hamdan Bin Muhammed Smart University, Dubai P.O. Box 71400, United Arab Emirates
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7
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Chandna A, Mahajan R, Gautam P, Mwandigha L, Gunasekaran K, Bhusan D, Cheung ATL, Day N, Dittrich S, Dondorp A, Geevar T, Ghattamaneni SR, Hussain S, Jimenez C, Karthikeyan R, Kumar S, Kumar S, Kumar V, Kundu D, Lakshmanan A, Manesh A, Menggred C, Moorthy M, Osborn J, Richard-Greenblatt M, Sharma S, Singh VK, Singh VK, Suri J, Suzuki S, Tubprasert J, Turner P, Villanueva AMG, Waithira N, Kumar P, Varghese GM, Koshiaris C, Lubell Y, Burza S. Facilitating Safe Discharge Through Predicting Disease Progression in Moderate Coronavirus Disease 2019 (COVID-19): A Prospective Cohort Study to Develop and Validate a Clinical Prediction Model in Resource-Limited Settings. Clin Infect Dis 2022; 75:e368-e379. [PMID: 35323932 PMCID: PMC9129107 DOI: 10.1093/cid/ciac224] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND In locations where few people have received coronavirus disease 2019 (COVID-19) vaccines, health systems remain vulnerable to surges in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections. Tools to identify patients suitable for community-based management are urgently needed. METHODS We prospectively recruited adults presenting to 2 hospitals in India with moderate symptoms of laboratory-confirmed COVID-19 to develop and validate a clinical prediction model to rule out progression to supplemental oxygen requirement. The primary outcome was defined as any of the following: SpO2 < 94%; respiratory rate > 30 BPM; SpO2/FiO2 < 400; or death. We specified a priori that each model would contain three clinical parameters (age, sex, and SpO2) and 1 of 7 shortlisted biochemical biomarkers measurable using commercially available rapid tests (C-reactive protein [CRP], D-dimer, interleukin 6 [IL-6], neutrophil-to-lymphocyte ratio [NLR], procalcitonin [PCT], soluble triggering receptor expressed on myeloid cell-1 [sTREM-1], or soluble urokinase plasminogen activator receptor [suPAR]), to ensure the models would be suitable for resource-limited settings. We evaluated discrimination, calibration, and clinical utility of the models in a held-out temporal external validation cohort. RESULTS In total, 426 participants were recruited, of whom 89 (21.0%) met the primary outcome; 257 participants comprised the development cohort, and 166 comprised the validation cohort. The 3 models containing NLR, suPAR, or IL-6 demonstrated promising discrimination (c-statistics: 0.72-0.74) and calibration (calibration slopes: 1.01-1.05) in the validation cohort and provided greater utility than a model containing the clinical parameters alone. CONCLUSIONS We present 3 clinical prediction models that could help clinicians identify patients with moderate COVID-19 suitable for community-based management. The models are readily implementable and of particular relevance for locations with limited resources.
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Affiliation(s)
- Arjun Chandna
- Cambodia Oxford Medical Research Unit, Angkor Hospital for Children, Siem Reap, Cambodia
- Centre for Tropical Medicine & Global Health, University of Oxford, Oxford, United Kingdom
| | | | - Priyanka Gautam
- Department of Infectious Diseases, Christian Medical College, Vellore, India
| | - Lazaro Mwandigha
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | | | - Divendu Bhusan
- Department of Internal Medicine, All India Institute of Medical Sciences, Patna, India
| | - Arthur T L Cheung
- Centre for Tropical Medicine & Global Health, University of Oxford, Oxford, United Kingdom
- Mahidol Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
| | - Nicholas Day
- Centre for Tropical Medicine & Global Health, University of Oxford, Oxford, United Kingdom
- Mahidol Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
| | - Sabine Dittrich
- Centre for Tropical Medicine & Global Health, University of Oxford, Oxford, United Kingdom
- Foundation for Innovative Diagnostics, Geneva, Switzerland
| | - Arjen Dondorp
- Centre for Tropical Medicine & Global Health, University of Oxford, Oxford, United Kingdom
- Mahidol Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
| | - Tulasi Geevar
- Department of Transfusion Medicine & Immunohaematology, Christian Medical College, Vellore, India
| | | | | | | | - Rohini Karthikeyan
- Department of Infectious Diseases, Christian Medical College, Vellore, India
| | - Sanjeev Kumar
- Department of Cardiothoracic & Vascular Surgery, All India Institute of Medical Sciences, Patna, India
| | - Shiril Kumar
- Department of Virology, Rajendra Memorial Research Institute of Medical Sciences, Patna, India
| | | | - Debasree Kundu
- Department of Infectious Diseases, Christian Medical College, Vellore, India
| | | | - Abi Manesh
- Department of Infectious Diseases, Christian Medical College, Vellore, India
| | - Chonticha Menggred
- Mahidol Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
| | - Mahesh Moorthy
- Department of Clinical Virology, Christian Medical College, Vellore, India
| | | | | | - Sadhana Sharma
- Department of Biochemistry, All India Institute of Medical Sciences, Patna, India
| | - Veena K Singh
- Department of Burns & Plastic Surgery, All India Institute of Medical Sciences, Patna, India
| | | | | | - Shuichi Suzuki
- School of Tropical Medicine & Global Health, Nagasaki University, Nagasaki, Japan
| | - Jaruwan Tubprasert
- Mahidol Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
| | - Paul Turner
- Cambodia Oxford Medical Research Unit, Angkor Hospital for Children, Siem Reap, Cambodia
- Centre for Tropical Medicine & Global Health, University of Oxford, Oxford, United Kingdom
| | | | - Naomi Waithira
- Centre for Tropical Medicine & Global Health, University of Oxford, Oxford, United Kingdom
- Mahidol Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
| | - Pragya Kumar
- Department of Community & Family Medicine, All India Institute of Medical Sciences, Patna, Indiaand
| | - George M Varghese
- Department of Infectious Diseases, Christian Medical College, Vellore, India
| | - Constantinos Koshiaris
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Yoel Lubell
- Centre for Tropical Medicine & Global Health, University of Oxford, Oxford, United Kingdom
- Mahidol Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
| | - Sakib Burza
- Médecins Sans Frontières, New Delhi, India
- Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, United Kingdom
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8
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Trigueros M, Pradenas E, Palacín D, Muñoz-López F, Ávila-Nieto C, Trinité B, Bonet-Simó JM, Isnard M, Moreno N, Marfil S, Rovirosa C, Puig T, Grau E, Chamorro A, Martinez A, Toledo R, Font M, Ara J, Carrillo J, Mateu L, Blanco J, Clotet B, Prat N, Massanella M. Reduced humoral response 3 months following BNT162b2 vaccination in SARS-CoV-2 uninfected residents of long-term care facilities. Age Ageing 2022; 51:6589805. [PMID: 35595256 PMCID: PMC9122645 DOI: 10.1093/ageing/afac101] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Indexed: 12/12/2022] Open
Abstract
Background SARS-CoV-2 vaccination is the most effective strategy to protect older residents of long-term care facilities (LTCF) against severe COVID-19, but primary vaccine responses are less effective in older adults. Here, we characterised the humoral responses of institutionalised seniors 3 months after they had received the mRNA/BNT162b2 vaccine. Methods plasma levels of SARS-CoV-2-specific total IgG, IgM and IgA antibodies were measured before and 3 months after vaccination in older residents of LTCF. Neutralisation capacity was assessed in a pseudovirus neutralisation assay against the original WH1 and later B.1.617.2/Delta variants. A group of younger adults was used as a reference group. Results three months after vaccination, uninfected older adults presented reduced SARS-CoV-2-specific IgG levels and a significantly lower neutralisation capacity against the WH1 and Delta variants compared with vaccinated uninfected younger individuals. In contrast, COVID-19-recovered older adults showed significantly higher SARS-CoV-2-specific IgG levels after vaccination than their younger counterparts, whereas showing similar neutralisation activity against the WH1 virus and an increased neutralisation capacity against the Delta variant. Although, similarly to younger individuals, previously infected older adults elicit potent cross-reactive immune responses, higher quantities of SARS-CoV-2-specific IgG antibodies are required to reach the same neutralisation levels. Conclusions although hybrid immunity seems to be active in previously infected older adults 3 months after mRNA/BNT162b2 vaccination, humoral immune responses are diminished in COVID-19 uninfected but vaccinated older residents of LTCF. These results suggest that a vaccine booster dose should be prioritised for this particularly vulnerable population.
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Affiliation(s)
- Macedonia Trigueros
- IrsiCaixa-AIDS Research Institute and Germans Trias i Pujol Health Research Institute (IGTP), 08916 Badalona, Catalonia, Spain
| | - Edwards Pradenas
- IrsiCaixa-AIDS Research Institute and Germans Trias i Pujol Health Research Institute (IGTP), 08916 Badalona, Catalonia, Spain
| | - Dolors Palacín
- Direcció d'Atenció Primària - Metropolitana Nord, 08023 Sabadell, Catalonia, Spain
| | - Francisco Muñoz-López
- IrsiCaixa-AIDS Research Institute and Germans Trias i Pujol Health Research Institute (IGTP), 08916 Badalona, Catalonia, Spain
| | - Carlos Ávila-Nieto
- IrsiCaixa-AIDS Research Institute and Germans Trias i Pujol Health Research Institute (IGTP), 08916 Badalona, Catalonia, Spain
| | - Benjamin Trinité
- IrsiCaixa-AIDS Research Institute and Germans Trias i Pujol Health Research Institute (IGTP), 08916 Badalona, Catalonia, Spain
| | | | - Mar Isnard
- Direcció d'Atenció Primària - Metropolitana Nord, 08023 Sabadell, Catalonia, Spain
| | - Nemesio Moreno
- Direcció d'Atenció Primària - Metropolitana Nord, 08023 Sabadell, Catalonia, Spain
| | - Silvia Marfil
- IrsiCaixa-AIDS Research Institute and Germans Trias i Pujol Health Research Institute (IGTP), 08916 Badalona, Catalonia, Spain
| | - Carla Rovirosa
- IrsiCaixa-AIDS Research Institute and Germans Trias i Pujol Health Research Institute (IGTP), 08916 Badalona, Catalonia, Spain
| | - Teresa Puig
- IrsiCaixa-AIDS Research Institute and Germans Trias i Pujol Health Research Institute (IGTP), 08916 Badalona, Catalonia, Spain
| | - Eulàlia Grau
- IrsiCaixa-AIDS Research Institute and Germans Trias i Pujol Health Research Institute (IGTP), 08916 Badalona, Catalonia, Spain
| | - Anna Chamorro
- Fight against AIDS Foundation (FLS), Germans Trias i Pujol Hospital, 08916 Badalona, Catalonia, Spain
| | - Ana Martinez
- Fight against AIDS Foundation (FLS), Germans Trias i Pujol Hospital, 08916 Badalona, Catalonia, Spain
| | - Ruth Toledo
- Fight against AIDS Foundation (FLS), Germans Trias i Pujol Hospital, 08916 Badalona, Catalonia, Spain
| | - Marta Font
- Fight against AIDS Foundation (FLS), Germans Trias i Pujol Hospital, 08916 Badalona, Catalonia, Spain
| | - Jordi Ara
- Gerencia Territorial de la Metropolitana Nord, Germans Trias i Pujol Hospital, 08916 Badalona, Spain
| | - Jorge Carrillo
- IrsiCaixa-AIDS Research Institute and Germans Trias i Pujol Health Research Institute (IGTP), 08916 Badalona, Catalonia, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Infecciosas CIBERINFEC, Madrid, Spain
| | - Lourdes Mateu
- Fight against AIDS Foundation (FLS), Germans Trias i Pujol Hospital, 08916 Badalona, Catalonia, Spain.,Infectious Diseases Department, Germans Trias i Pujol Hospital and Universitat Autònoma de Barcelona, 08916 Badalona, Spain.,University of Vic-Central University of Catalonia (UVic-UCC), 08500, Vic, Catalonia, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Respiratorias, CIBERES, 28029 Madrid, Spain
| | - Julià Blanco
- IrsiCaixa-AIDS Research Institute and Germans Trias i Pujol Health Research Institute (IGTP), 08916 Badalona, Catalonia, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Infecciosas CIBERINFEC, Madrid, Spain.,University of Vic-Central University of Catalonia (UVic-UCC), 08500, Vic, Catalonia, Spain
| | - Bonaventura Clotet
- IrsiCaixa-AIDS Research Institute and Germans Trias i Pujol Health Research Institute (IGTP), 08916 Badalona, Catalonia, Spain.,Fight against AIDS Foundation (FLS), Germans Trias i Pujol Hospital, 08916 Badalona, Catalonia, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Infecciosas CIBERINFEC, Madrid, Spain.,University of Vic-Central University of Catalonia (UVic-UCC), 08500, Vic, Catalonia, Spain
| | - Nuria Prat
- Direcció d'Atenció Primària - Metropolitana Nord, 08023 Sabadell, Catalonia, Spain
| | - Marta Massanella
- IrsiCaixa-AIDS Research Institute and Germans Trias i Pujol Health Research Institute (IGTP), 08916 Badalona, Catalonia, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Infecciosas CIBERINFEC, Madrid, Spain
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9
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Raventós B, Pistillo A, Reyes C, Fernández-Bertolín S, Aragón M, Berenguera A, Jacques-Aviñó C, Medina-Perucha L, Burn E, Duarte-Salles T. Impact of the COVID-19 pandemic on diagnoses of common mental health disorders in adults in Catalonia, Spain: a population-based cohort study. BMJ Open 2022; 12:e057866. [PMID: 35396302 PMCID: PMC8995576 DOI: 10.1136/bmjopen-2021-057866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 03/10/2022] [Indexed: 11/25/2022] Open
Abstract
OBJECTIVE To investigate how trends in incidence of anxiety and depressive disorders have been affected by the COVID-19 pandemic. DESIGN Population-based cohort study. SETTING Retrospective cohort study from 2018 to 2021 using the Information System for Research in Primary Care (SIDIAP) database in Catalonia, Spain. PARTICIPANTS 3 640 204 individuals aged 18 or older in SIDIAP on 1 March 2018 with no history of anxiety and depressive disorders. PRIMARY AND SECONDARY OUTCOMES MEASURES The incidence of anxiety and depressive disorders during the prelockdown period (March 2018-February 2020), lockdown period (March-June 2020) and postlockdown period (July 2020-March 2021) was calculated. Forecasted rates over the COVID-19 periods were estimated using negative binomial regression models based on prelockdown data. The percentage of reduction was estimated by comparing forecasted versus observed events, overall and by sex, age and socioeconomic status. RESULTS The incidence rates per 100 000 person-months of anxiety and depressive disorders were 151.1 (95% CI 150.3 to 152.0) and 32.3 (31.9 to 32.6), respectively, during the prelockdown period. We observed an increase of 37.1% (95% prediction interval 25.5 to 50.2) in incident anxiety diagnoses compared with the expected in March 2020, followed by a reduction of 15.8% (7.3 to 23.5) during the postlockdown period. A reduction in incident depressive disorders occurred during the lockdown and postlockdown periods (45.6% (39.2 to 51.0) and 22.0% (12.6 to 30.1), respectively). Reductions were higher among women during the lockdown period, adults aged 18-34 years and individuals living in the most deprived areas. CONCLUSIONS The COVID-19 pandemic in Catalonia was associated with an initial increase in anxiety disorders diagnosed in primary care but a reduction in cases as the pandemic continued. Diagnoses of depressive disorders were lower than expected throughout the pandemic.
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Affiliation(s)
- Berta Raventós
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Andrea Pistillo
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Carlen Reyes
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Sergio Fernández-Bertolín
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Maria Aragón
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Anna Berenguera
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Constanza Jacques-Aviñó
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Laura Medina-Perucha
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Edward Burn
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Centre for Statistics in Medicine (CSM), Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK
| | - Talita Duarte-Salles
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
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10
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Galli MG, Djuric O, Besutti G, Ottone M, Amidei L, Bitton L, Bonilauri C, Boracchia L, Campanale S, Curcio V, Lucchesi DMF, Mulas CS, Santi F, Ferrari AM, Giorgi Rossi P, Luppi F. Clinical and imaging characteristics of patients with COVID-19 predicting hospital readmission after emergency department discharge: a single-centre cohort study in Italy. BMJ Open 2022; 12:e052665. [PMID: 35387808 PMCID: PMC8987209 DOI: 10.1136/bmjopen-2021-052665] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVE We aimed at identifying baseline predictive factors for emergency department (ED) readmission, with hospitalisation/death, in patients with COVID-19 previously discharged from the ED. We also developed a disease progression velocity index. DESIGN AND SETTING Retrospective cohort study of prospectively collected data. The charts of consecutive patients with COVID-19 discharged from the Reggio Emilia (Italy) ED (2 March 2 to 31 March 2020) were retrospectively examined. Clinical, laboratory and CT findings at first ED admission were tested as predictive factors using multivariable logistic models. We divided CT extension by days from symptom onset to build a synthetic velocity index. PARTICIPANTS 450 patients discharged from the ED with diagnosis of COVID-19. MAIN OUTCOME MEASURE ED readmission within 14 days, followed by hospitalisation/death. RESULTS Of the discharged patients, 84 (18.7%) were readmitted to the ED, 61 (13.6%) were hospitalised and 10 (2.2%) died. Age (OR=1.05; 95% CI 1.03 to 1.08), Charlson Comorbidity Index 3 versus 0 (OR=11.61; 95% CI 1.76 to 76.58), days from symptom onset (OR for 1-day increase=0.81; 95% CI 0.73 to 0.90) and CT extension (OR for 1% increase=1.03; 95% CI 1.01 to 1.06) were associated in a multivariable model for readmission with hospitalisation/death. A 2-day lag velocity index was a strong predictor (OR for unit increase=1.21, 95% CI 1.08 to 1.36); the model including this index resulted in less information loss. CONCLUSIONS A velocity index combining CT extension and days from symptom onset predicts disease progression in patients with COVID-19. For example, a 20% CT extension 3 days after symptom onset has the same risk as does 50% after 10 days.
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Affiliation(s)
- Maria Giulia Galli
- Emergency Department, Azienda USL - IRCCS di Reggio Emilia, Reggio Emilia, Emilia-Romagna, Italy
| | - Olivera Djuric
- Epidemiology Unit, Azienda USL - IRCCS di Reggio Emilia, Reggio Emilia, Emilia-Romagna, Italy
- Section of Public Health, Department of Biomedical, Metabolic and Neural Sciences, Center for Environmental, Nutritional and Genetic Epidemiology (CREAGEN), University of Modena and Reggio Emilia, Modena, Emilia-Romagna, Italy
| | - Giulia Besutti
- Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Modena, Emilia-Romagna, Italy
- Radiology Unit, Department of Diagnostic Imaging and Laboratory Medicine, Azienda USL - IRCCS di Reggio Emilia, Reggio Emilia, Emilia-Romagna, Italy
| | - Marta Ottone
- Epidemiology Unit, Azienda USL - IRCCS di Reggio Emilia, Reggio Emilia, Emilia-Romagna, Italy
| | - Lucia Amidei
- Emergency Department, Azienda USL - IRCCS di Reggio Emilia, Reggio Emilia, Emilia-Romagna, Italy
| | - Lee Bitton
- Emergency Department, Azienda USL - IRCCS di Reggio Emilia, Reggio Emilia, Emilia-Romagna, Italy
| | - Carlotta Bonilauri
- Emergency Department, Azienda USL - IRCCS di Reggio Emilia, Reggio Emilia, Emilia-Romagna, Italy
| | - Luca Boracchia
- Emergency Department, Azienda USL - IRCCS di Reggio Emilia, Reggio Emilia, Emilia-Romagna, Italy
| | - Sergio Campanale
- Emergency Department, Azienda USL - IRCCS di Reggio Emilia, Reggio Emilia, Emilia-Romagna, Italy
| | - Vittoria Curcio
- Emergency Department, Azienda USL - IRCCS di Reggio Emilia, Reggio Emilia, Emilia-Romagna, Italy
| | | | - Cesare Salvatore Mulas
- Emergency Department, Azienda USL - IRCCS di Reggio Emilia, Reggio Emilia, Emilia-Romagna, Italy
| | - Francesca Santi
- Emergency Department, Azienda USL - IRCCS di Reggio Emilia, Reggio Emilia, Emilia-Romagna, Italy
| | - Anna Maria Ferrari
- Emergency Department, Azienda USL - IRCCS di Reggio Emilia, Reggio Emilia, Emilia-Romagna, Italy
| | - Paolo Giorgi Rossi
- Epidemiology Unit, Azienda USL - IRCCS di Reggio Emilia, Reggio Emilia, Emilia-Romagna, Italy
| | - Francesco Luppi
- Emergency Department, Azienda USL - IRCCS di Reggio Emilia, Reggio Emilia, Emilia-Romagna, Italy
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11
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Roel E, Pistillo A, Recalde M, Fernández-Bertolín S, Aragón M, Soerjomataram I, Jenab M, Puente D, Prieto-Alhambra D, Burn E, Duarte-Salles T. Cancer and the risk of coronavirus disease 2019 diagnosis, hospitalisation and death: A population-based multistate cohort study including 4 618 377 adults in Catalonia, Spain. Int J Cancer 2022; 150:782-794. [PMID: 34655476 PMCID: PMC8652827 DOI: 10.1002/ijc.33846] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 08/31/2021] [Accepted: 09/20/2021] [Indexed: 12/15/2022]
Abstract
The relationship between cancer and coronavirus disease 2019 (COVID-19) infection and severity remains poorly understood. We conducted a population-based cohort study between 1 March and 6 May 2020 describing the associations between cancer and risk of COVID-19 diagnosis, hospitalisation and COVID-19-related death. Data were obtained from the Information System for Research in Primary Care (SIDIAP) database, including primary care electronic health records from ~80% of the population in Catalonia, Spain. Cancer was defined as any primary invasive malignancy excluding non-melanoma skin cancer. We estimated adjusted hazard ratios (aHRs) for the risk of COVID-19 (outpatient) clinical diagnosis, hospitalisation (with or without a prior COVID-19 diagnosis) and COVID-19-related death using Cox proportional hazard regressions. Models were estimated for the overall cancer population and by years since cancer diagnosis (<1 year, 1-5 years and ≥5 years), sex, age and cancer type; and adjusted for age, sex, smoking status, deprivation and comorbidities. We included 4 618 377 adults, of which 260 667 (5.6%) had a history of cancer. A total of 98 951 individuals (5.5% with cancer) were diagnosed, and 6355 (16.4% with cancer) were directly hospitalised with COVID-19. Of those diagnosed, 6851 were subsequently hospitalised (10.7% with cancer), and 3227 died without being hospitalised (18.5% with cancer). Among those hospitalised, 1963 (22.5% with cancer) died. Cancer was associated with an increased risk of COVID-19 diagnosis (aHR: 1.08; 95% confidence interval [1.05-1.11]), direct COVID-19 hospitalisation (1.33 [1.24-1.43]) and death following hospitalisation (1.12 [1.01-1.25]). These associations were stronger for patients recently diagnosed with cancer, aged <70 years, and with haematological cancers. These patients should be prioritised in COVID-19 vaccination campaigns and continued non-pharmaceutical interventions.
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Affiliation(s)
- Elena Roel
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Andrea Pistillo
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Martina Recalde
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Sergio Fernández-Bertolín
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - María Aragón
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | | | - Mazda Jenab
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Diana Puente
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Daniel Prieto-Alhambra
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Botnar Research Centre, Oxford, UK
| | - Edward Burn
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Botnar Research Centre, Oxford, UK
| | - Talita Duarte-Salles
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
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12
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Marin-Gomez FX, Mendioroz-Peña J, Mayer MA, Méndez-Boo L, Mora N, Hermosilla E, Coma E, Vilaseca JM, Leis A, Medina M, Catalina QM, Vidal-Alaball J. Comparing the Clinical Characteristics and Mortality of Residential and Non-Residential Older People with COVID-19: Retrospective Observational Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:483. [PMID: 35010742 PMCID: PMC8744689 DOI: 10.3390/ijerph19010483] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Revised: 12/24/2021] [Accepted: 12/30/2021] [Indexed: 01/08/2023]
Abstract
Nursing homes have accounted for a significant part of SARS-CoV-2 mortality, causing great social alarm. Using data collected from electronic medical records of 1,319,839 institutionalised and non-institutionalised persons ≥ 65 years, the present study investigated the epidemiology and differential characteristics between these two population groups. Our results showed that the form of presentation of the epidemic outbreak, as well as some risk factors, are different among the elderly institutionalised population with respect to those who are not. In addition to a twenty-fold increase in the rate of adjusted mortality among institutionalised individuals, the peak incidence was delayed by approximately three weeks. Having dementia was shown to be a risk factor for death, and, unlike the non-institutionalised group, neither obesity nor age were shown to be significantly associated with the risk of death among the institutionalised. These differential characteristics should be able to guide the actions to be taken by the health administration in the event of a similar infectious situation among institutionalised elderly people.
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Affiliation(s)
- Francesc X. Marin-Gomez
- Health Promotion in Rural Areas Research Group, Gerència Territorial de la Catalunya Central, Institut Català de la Salut, 08772 St. Fruitós de Bages, Spain; (F.X.M.-G.); (J.M.-P.); (J.V.-A.)
- Unitat de Suport a la Recerca de la Catalunya Central, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol i Gurina, 08772 St. Fruitós de Bages, Spain;
- Faculty of Medicine, University of Vic-Central University of Catalonia (UVIC-UCC), 08500 Vic, Spain;
| | - Jacobo Mendioroz-Peña
- Health Promotion in Rural Areas Research Group, Gerència Territorial de la Catalunya Central, Institut Català de la Salut, 08772 St. Fruitós de Bages, Spain; (F.X.M.-G.); (J.M.-P.); (J.V.-A.)
- COVID-19 Response Unit, Department of Health, Generalitat de Catalunya, 08005 Barcelona, Spain
| | - Miguel-Angel Mayer
- Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM), Universitat Pompeu Fabra, 08003 Barcelona, Spain;
| | - Leonardo Méndez-Boo
- Sistemes d’Informació dels Serveis d’Atenció Primària (SISAP), Institut Català de la Salut (ICS), 08007 Barcelona, Spain; (L.M.-B.); (N.M.); (E.H.); (E.C.); (M.M.)
| | - Núria Mora
- Sistemes d’Informació dels Serveis d’Atenció Primària (SISAP), Institut Català de la Salut (ICS), 08007 Barcelona, Spain; (L.M.-B.); (N.M.); (E.H.); (E.C.); (M.M.)
- Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), 08007 Barcelona, Spain
| | - Eduardo Hermosilla
- Sistemes d’Informació dels Serveis d’Atenció Primària (SISAP), Institut Català de la Salut (ICS), 08007 Barcelona, Spain; (L.M.-B.); (N.M.); (E.H.); (E.C.); (M.M.)
- Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), 08007 Barcelona, Spain
| | - Ermengol Coma
- Sistemes d’Informació dels Serveis d’Atenció Primària (SISAP), Institut Català de la Salut (ICS), 08007 Barcelona, Spain; (L.M.-B.); (N.M.); (E.H.); (E.C.); (M.M.)
| | - Josep-Maria Vilaseca
- Faculty of Medicine, University of Vic-Central University of Catalonia (UVIC-UCC), 08500 Vic, Spain;
| | - Angela Leis
- Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM), Universitat Pompeu Fabra, 08003 Barcelona, Spain;
| | - Manolo Medina
- Sistemes d’Informació dels Serveis d’Atenció Primària (SISAP), Institut Català de la Salut (ICS), 08007 Barcelona, Spain; (L.M.-B.); (N.M.); (E.H.); (E.C.); (M.M.)
| | - Queralt Miró Catalina
- Unitat de Suport a la Recerca de la Catalunya Central, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol i Gurina, 08772 St. Fruitós de Bages, Spain;
| | - Josep Vidal-Alaball
- Health Promotion in Rural Areas Research Group, Gerència Territorial de la Catalunya Central, Institut Català de la Salut, 08772 St. Fruitós de Bages, Spain; (F.X.M.-G.); (J.M.-P.); (J.V.-A.)
- Unitat de Suport a la Recerca de la Catalunya Central, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol i Gurina, 08772 St. Fruitós de Bages, Spain;
- Faculty of Medicine, University of Vic-Central University of Catalonia (UVIC-UCC), 08500 Vic, Spain;
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13
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Bhaskaran K, Rentsch CT, Hickman G, Hulme WJ, Schultze A, Curtis HJ, Wing K, Warren-Gash C, Tomlinson L, Bates CJ, Mathur R, MacKenna B, Mahalingasivam V, Wong A, Walker AJ, Morton CE, Grint D, Mehrkar A, Eggo RM, Inglesby P, Douglas IJ, McDonald HI, Cockburn J, Williamson EJ, Evans D, Parry J, Hester F, Harper S, Evans SJW, Bacon S, Smeeth L, Goldacre B. Overall and cause-specific hospitalisation and death after COVID-19 hospitalisation in England: A cohort study using linked primary care, secondary care, and death registration data in the OpenSAFELY platform. PLoS Med 2022; 19:e1003871. [PMID: 35077449 PMCID: PMC8789178 DOI: 10.1371/journal.pmed.1003871] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 11/17/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND There is concern about medium to long-term adverse outcomes following acute Coronavirus Disease 2019 (COVID-19), but little relevant evidence exists. We aimed to investigate whether risks of hospital admission and death, overall and by specific cause, are raised following discharge from a COVID-19 hospitalisation. METHODS AND FINDINGS With the approval of NHS-England, we conducted a cohort study, using linked primary care and hospital data in OpenSAFELY to compare risks of hospital admission and death, overall and by specific cause, between people discharged from COVID-19 hospitalisation (February to December 2020) and surviving at least 1 week, and (i) demographically matched controls from the 2019 general population; and (ii) people discharged from influenza hospitalisation in 2017 to 2019. We used Cox regression adjusted for age, sex, ethnicity, obesity, smoking status, deprivation, and comorbidities considered potential risk factors for severe COVID-19 outcomes. We included 24,673 postdischarge COVID-19 patients, 123,362 general population controls, and 16,058 influenza controls, followed for ≤315 days. COVID-19 patients had median age of 66 years, 13,733 (56%) were male, and 19,061 (77%) were of white ethnicity. Overall risk of hospitalisation or death (30,968 events) was higher in the COVID-19 group than general population controls (fully adjusted hazard ratio [aHR] 2.22, 2.14 to 2.30, p < 0.001) but slightly lower than the influenza group (aHR 0.95, 0.91 to 0.98, p = 0.004). All-cause mortality (7,439 events) was highest in the COVID-19 group (aHR 4.82, 4.48 to 5.19 versus general population controls [p < 0.001] and 1.74, 1.61 to 1.88 versus influenza controls [p < 0.001]). Risks for cause-specific outcomes were higher in COVID-19 survivors than in general population controls and largely similar or lower in COVID-19 compared with influenza patients. However, COVID-19 patients were more likely than influenza patients to be readmitted or die due to their initial infection or other lower respiratory tract infection (aHR 1.37, 1.22 to 1.54, p < 0.001) and to experience mental health or cognitive-related admission or death (aHR 1.37, 1.02 to 1.84, p = 0.039); in particular, COVID-19 survivors with preexisting dementia had higher risk of dementia hospitalisation or death (age- and sex-adjusted HR 2.47, 1.37 to 4.44, p = 0.002). Limitations of our study were that reasons for hospitalisation or death may have been misclassified in some cases due to inconsistent use of codes, and we did not have data to distinguish COVID-19 variants. CONCLUSIONS In this study, we observed that people discharged from a COVID-19 hospital admission had markedly higher risks for rehospitalisation and death than the general population, suggesting a substantial extra burden on healthcare. Most risks were similar to those observed after influenza hospitalisations, but COVID-19 patients had higher risks of all-cause mortality, readmission or death due to the initial infection, and dementia death, highlighting the importance of postdischarge monitoring.
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Affiliation(s)
- Krishnan Bhaskaran
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Christopher T. Rentsch
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - George Hickman
- The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - William J. Hulme
- The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Anna Schultze
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Helen J. Curtis
- The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Kevin Wing
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Charlotte Warren-Gash
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Laurie Tomlinson
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | | | - Rohini Mathur
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Brian MacKenna
- The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Viyaasan Mahalingasivam
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Angel Wong
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Alex J. Walker
- The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Caroline E. Morton
- The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Daniel Grint
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Amir Mehrkar
- The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Rosalind M. Eggo
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Peter Inglesby
- The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Ian J. Douglas
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Helen I. McDonald
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | | | - Elizabeth J. Williamson
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - David Evans
- The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - John Parry
- TPP, TPP House, Horsforth, Leeds, United Kingdom
| | - Frank Hester
- TPP, TPP House, Horsforth, Leeds, United Kingdom
| | - Sam Harper
- TPP, TPP House, Horsforth, Leeds, United Kingdom
| | - Stephen JW Evans
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Sebastian Bacon
- The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Liam Smeeth
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Ben Goldacre
- The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
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14
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Bassetti M, Giacobbe DR, Bruzzi P, Barisione E, Centanni S, Castaldo N, Corcione S, De Rosa FG, Di Marco F, Gori A, Gramegna A, Granata G, Gratarola A, Maraolo AE, Mikulska M, Lombardi A, Pea F, Petrosillo N, Radovanovic D, Santus P, Signori A, Sozio E, Tagliabue E, Tascini C, Vancheri C, Vena A, Viale P, Blasi F. Clinical Management of Adult Patients with COVID-19 Outside Intensive Care Units: Guidelines from the Italian Society of Anti-Infective Therapy (SITA) and the Italian Society of Pulmonology (SIP). Infect Dis Ther 2021; 10:1837-1885. [PMID: 34328629 PMCID: PMC8323092 DOI: 10.1007/s40121-021-00487-7] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 06/15/2021] [Indexed: 02/07/2023] Open
Abstract
INTRODUCTION The Italian Society of Anti-Infective Therapy (SITA) and the Italian Society of Pulmonology (SIP) constituted an expert panel for developing evidence-based guidance for the clinical management of adult patients with coronavirus disease 2019 (COVID-19) outside intensive care units. METHODS Ten systematic literature searches were performed to answer ten different key questions. The retrieved evidence was graded according to the Grading of Recommendations Assessment, Development, and Evaluation methodology (GRADE). RESULTS AND CONCLUSION The literature searches mostly assessed the available evidence on the management of COVID-19 patients in terms of antiviral, anticoagulant, anti-inflammatory, immunomodulatory, and continuous positive airway pressure (CPAP)/non-invasive ventilation (NIV) treatment. Most evidence was deemed as of low certainty, and in some cases, recommendations could not be developed according to the GRADE system (best practice recommendations were provided in similar situations). The use of neutralizing monoclonal antibodies may be considered for outpatients at risk of disease progression. For inpatients, favorable recommendations were provided for anticoagulant prophylaxis and systemic steroids administration, although with low certainty of evidence. Favorable recommendations, with very low/low certainty of evidence, were also provided for, in specific situations, remdesivir, alone or in combination with baricitinib, and tocilizumab. The presence of many best practice recommendations testified to the need for further investigations by means of randomized controlled trials, whenever possible, with some possible future research directions stemming from the results of the ten systematic reviews.
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Affiliation(s)
- Matteo Bassetti
- Infectious Diseases Unit, Ospedale Policlinico San Martino-IRCCS, L.go R. Benzi, 10, 16132, Genoa, Italy.
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.
| | - Daniele Roberto Giacobbe
- Infectious Diseases Unit, Ospedale Policlinico San Martino-IRCCS, L.go R. Benzi, 10, 16132, Genoa, Italy.
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.
| | - Paolo Bruzzi
- Clinical Epidemiology Unit, Ospedale Policlinico San Martino-IRCCS, Genoa, Italy
| | - Emanuela Barisione
- Interventional Pulmonology, Ospedale Policlinico San Martino-IRCCS, Genoa, Italy
| | - Stefano Centanni
- Department of Health Sciences, University of Milan, Respiratory Unit, ASST Santi Paolo e Carlo, Milan, Italy
| | - Nadia Castaldo
- Infectious Diseases Clinic, Santa Maria Misericordia Hospital, Udine, Italy
| | - Silvia Corcione
- Department of Medical Sciences, Infectious Diseases, University of Turin, Turin, Italy
- Tufts University School of Medicine, Boston, MA, USA
| | | | - Fabiano Di Marco
- Department of Health Sciences, University of Milan, Respiratory Unit, ASST Papa Giovanni XXIII Hospital, Bergamo, Italy
| | - Andrea Gori
- Infectious Diseases Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy
- Centre for Multidisciplinary Research in Health Science (MACH), University of Milan, Milan, Italy
| | - Andrea Gramegna
- Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Internal Medicine Department, Respiratory Unit and Cystic Fibrosis Adult Center, Milan, Italy
| | - Guido Granata
- Clinical and Research Department for Infectious Diseases, National Institute for Infectious Diseases L. Spallanzani, IRCCS, Rome, Italy
| | - Angelo Gratarola
- Department of Emergency and Urgency, San Martino Policlinico Hospital, IRCCS, Genoa, Italy
| | | | - Malgorzata Mikulska
- Infectious Diseases Unit, Ospedale Policlinico San Martino-IRCCS, L.go R. Benzi, 10, 16132, Genoa, Italy
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
| | - Andrea Lombardi
- Infectious Diseases Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy
| | - Federico Pea
- Department of Medical and Surgical Sciences, Alma Mater Studiorum-University of Bologna, Bologna, Italy
- SSD Clinical Pharmacology Unit, University Hospital, IRCCS Azienda Ospedaliero Universitaria di Bologna, Bologna, Italy
| | - Nicola Petrosillo
- Clinical and Research Department for Infectious Diseases, National Institute for Infectious Diseases L. Spallanzani, IRCCS, Rome, Italy
- Infection Control and Infectious Disease Service, University Hospital "Campus-Biomedico", Rome, Italy
| | - Dejan Radovanovic
- Division of Respiratory Diseases, Ospedale L. Sacco, ASST Fatebenefratelli-Sacco, Milan, Italy
| | - Pierachille Santus
- Division of Respiratory Diseases, Ospedale L. Sacco, ASST Fatebenefratelli-Sacco, Milan, Italy
- Department of Biomedical and Clinical Sciences (DIBIC), Università degli Studi di Milano, Milan, Italy
| | - Alessio Signori
- Department of Health Sciences, Section of Biostatistics, University of Genoa, Genoa, Italy
| | - Emanuela Sozio
- Infectious Diseases Clinic, Santa Maria Misericordia Hospital, Udine, Italy
| | - Elena Tagliabue
- Interventional Pulmonology, Ospedale Policlinico San Martino-IRCCS, Genoa, Italy
| | - Carlo Tascini
- Infectious Diseases Clinic, Santa Maria Misericordia Hospital, Udine, Italy
| | - Carlo Vancheri
- Regional Referral Centre for Rare Lung Diseases-University Hospital "Policlinico G. Rodolico", Catania, Italy
- Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Antonio Vena
- Infectious Diseases Unit, Ospedale Policlinico San Martino-IRCCS, L.go R. Benzi, 10, 16132, Genoa, Italy
| | - Pierluigi Viale
- Department of Medical and Surgical Sciences, Alma Mater Studiorum-University of Bologna, Bologna, Italy
- Infectious Diseases Unit, University Hospital IRCCS Policlinico Sant'Orsola, Bologna, Italy
| | - Francesco Blasi
- Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Internal Medicine Department, Respiratory Unit and Cystic Fibrosis Adult Center, Milan, Italy
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15
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Recalde M, Pistillo A, Fernandez-Bertolin S, Roel E, Aragon M, Freisling H, Prieto-Alhambra D, Burn E, Duarte-Salles T. Body Mass Index and Risk of COVID-19 Diagnosis, Hospitalization, and Death: A Cohort Study of 2 524 926 Catalans. J Clin Endocrinol Metab 2021; 106:e5030-e5042. [PMID: 34297116 PMCID: PMC8344917 DOI: 10.1210/clinem/dgab546] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT A comprehensive understanding of the association between body mass index (BMI) and coronavirus disease 2019 (COVID-19) is still lacking. OBJECTIVE To investigate associations between BMI and risk of COVID-19 diagnosis, hospitalization with COVID-19, and death after a COVID-19 diagnosis or hospitalization (subsequent death), accounting for potential effect modification by age and sex. DESIGN Population-based cohort study. SETTING Primary care records covering >80% of the Catalan population, linked to regionwide testing, hospital, and mortality records from March to May 2020. PARTICIPANTS Adults (≥18 years) with at least 1 measurement of weight and height. MAIN OUTCOME MEASURES Hazard ratios (HR) for each outcome. RESULTS We included 2 524 926 participants. After 67 days of follow-up, 57 443 individuals were diagnosed with COVID-19, 10 862 were hospitalized with COVID-19, and 2467 had a subsequent death. BMI was positively associated with being diagnosed and hospitalized with COVID-19. Compared to a BMI of 22 kg/m2, the HR (95% CI) of a BMI of 31 kg/m2 was 1.22 (1.19-1.24) for diagnosis and 1.88 (1.75-2.03) and 2.01 (1.86-2.18) for hospitalization without and with a prior outpatient diagnosis, respectively. The association between BMI and subsequent death was J-shaped, with a modestly higher risk of death among individuals with BMIs ≤ 19 kg/m2 and a more pronounced increasing risk for BMIs ≥ 40 kg/m2. The increase in risk for COVID-19 outcomes was particularly pronounced among younger patients. CONCLUSIONS There is a monotonic association between BMI and COVID-19 diagnosis and hospitalization risks but a J-shaped relationship with mortality. More research is needed to unravel the mechanisms underlying these relationships.
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Affiliation(s)
- Martina Recalde
- Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Universitat Autònoma de Barcelona, Spain
| | - Andrea Pistillo
- Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Sergio Fernandez-Bertolin
- Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Elena Roel
- Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Universitat Autònoma de Barcelona, Spain
| | - Maria Aragon
- Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Heinz Freisling
- International Agency for Research on Cancer (IARC-WHO), 150 Cours Albert Thomas, 69008 Lyon, France
| | - Daniel Prieto-Alhambra
- Centre for Statistics in Medicine, NDORMS, University of Oxford
- Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Edward Burn
- Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Centre for Statistics in Medicine, NDORMS, University of Oxford
| | - Talita Duarte-Salles
- Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
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16
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Giorda CB, Picariello R, Tartaglino B, Nada E, Doglio M, Romeo F, Costa G, Gnavi R. From swab testing to health outcomes within the T2DM population: Impact of diabetes background on COVID19 progression. Diabetes Res Clin Pract 2021; 180:109021. [PMID: 34437941 PMCID: PMC8381620 DOI: 10.1016/j.diabres.2021.109021] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 07/30/2021] [Accepted: 08/19/2021] [Indexed: 01/18/2023]
Abstract
BACKGROUND We aimed to study the impact of diabetes background on COVID-19 progression from swab testing to health outcomes in type 2 diabetes (T2DM). METHODS From the database of the diabetes units of Piedmont-Italy we extracted records of T2DM patients, which were linked with the swab-testing-database, and the database of hospital discharges. Five outcomes (PCR testing, PCR testing positivity, hospitalization, Intensive Care Unit (ICU), death) were evaluated using robust Poisson models. RESULTS Among 125,021 T2DM patients, 1882 had a positive PCR test. Of these patients, 49.4% were hospitalized within 30 days, 11.8% were admitted to an ICU, and 27.1% died. Greater probability of death was associated with age, male sex, liver and renal impairment, Hba1c above 8%, and former smoking. Hospitalization and ICU admission were mainly affected by age, male sex, hypertension, and metabolic control. Notably, ICU admissions were reduced in very elderly people. No outcomes were associated with educational level. CONCLUSIONS Hospitalization and ICU admission are heavily affected by age and local triage policy. A key finding was that men who were > 75 years old and poorly compensated were highly vulnerable patients. Renal and/or hepatic impairment are additional factors. This information may be useful for addressing intervention priorities.
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Affiliation(s)
| | | | | | - Elisa Nada
- Metabolism and Diabetes Unit, ASL TO5, Regione Piemonte, Chieri, Italy
| | - Marella Doglio
- Metabolism and Diabetes Unit, ASL TO5, Regione Piemonte, Chieri, Italy
| | - Francesco Romeo
- Metabolism and Diabetes Unit, ASL TO5, Regione Piemonte, Chieri, Italy
| | - Giuseppe Costa
- Epidemiology Unit, ASL TO3, Regione Piemonte, Grugliasco, Italy; Department of Public Health, University of Torino, Torino, Italy
| | - Roberto Gnavi
- Epidemiology Unit, ASL TO3, Regione Piemonte, Grugliasco, Italy
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17
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Català M, Li X, Prats C, Prieto-Alhambra D. The impact of prioritisation and dosing intervals on the effects of COVID-19 vaccination in Europe: an agent-based cohort model. Sci Rep 2021; 11:18812. [PMID: 34552139 PMCID: PMC8458447 DOI: 10.1038/s41598-021-98216-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 09/06/2021] [Indexed: 11/17/2022] Open
Abstract
Different strategies have been used to maximise the effect of COVID-19 vaccination campaigns in Europe. We modelled the impact of different prioritisation choices and dose intervals on infections, hospitalisations, mortality, and public health restrictions. An agent-based model was built to quantify the impact of different vaccination strategies over 6 months. Input parameters were derived from published phase 3 trials and official European figures. We explored the effect of prioritising vulnerable people, care-home staff and residents, versus contagious groups; and the impact of dose intervals ranging from 3 to 12 weeks. Prioritising vulnerable people, rather than the most contagious, led to higher numbers of COVID-19 infections, whilst reducing mortality, hospital admissions, and public health restrictions. At a realistic vaccination speed of ≤ 0·1% population/day, separating doses by 12 weeks (vs a baseline scenario of 3 weeks) reduced hospitalisations, mortality, and restrictions for vaccines with similar first- and second-dose efficacy (e.g., the Oxford-AstraZeneca and Moderna vaccines), but not for those with lower first vs second-dose efficacy (e.g., the Pfizer/BioNTech vaccine). Mass vaccination will dramatically reduce the effect of COVID-19 on Europe's health and economy. Early vaccination of vulnerable populations will reduce mortality, hospitalisations, and public health restrictions compared to prioritisation of the most contagious people. The choice of interval between doses should be based on expected vaccine availability and first-dose efficacy, with 12-week intervals preferred over shorter intervals in most realistic scenarios.
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Affiliation(s)
- Martí Català
- Centre for Comparative Medicine and Bioimage (CMCiB), Gemans Trias i Pujol Research Institute (IGTP), Badalona, Spain
- Physics Department, Computational Biology and Complex Systems (BIOCOM-SC), Universitat Politècnica de Catalunya, Barcelona, Spain
| | - Xintong Li
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK
| | - Clara Prats
- Physics Department, Computational Biology and Complex Systems (BIOCOM-SC), Universitat Politècnica de Catalunya, Barcelona, Spain.
| | - Daniel Prieto-Alhambra
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK
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18
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Cabezas C, Coma E, Mora-Fernandez N, Li X, Martinez-Marcos M, Fina F, Fabregas M, Hermosilla E, Jover A, Contel JC, Lejardi Y, Enfedaque B, Argimon JM, Medina-Peralta M, Prieto-Alhambra D. Associations of BNT162b2 vaccination with SARS-CoV-2 infection and hospital admission and death with covid-19 in nursing homes and healthcare workers in Catalonia: prospective cohort study. BMJ 2021; 374:n1868. [PMID: 34407952 PMCID: PMC8371258 DOI: 10.1136/bmj.n1868] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
OBJECTIVE To determine associations of BNT162b2 vaccination with SARS-CoV-2 infection and hospital admission and death with covid-19 among nursing home residents, nursing home staff, and healthcare workers. DESIGN Prospective cohort study. SETTING Nursing homes and linked electronic medical record, test, and mortality data in Catalonia on 27 December 2020. PARTICIPANTS 28 456 nursing home residents, 26 170 nursing home staff, and 61 791 healthcare workers. MAIN OUTCOME MEASURES Participants were followed until the earliest outcome (confirmed SARS-CoV-2 infection, hospital admission or death with covid-19) or 26 May 2021. Vaccination status was introduced as a time varying exposure, with a 14 day run-in after the first dose. Mixed effects Cox models were fitted to estimate hazard ratios with index month as a fixed effect and adjusted for confounders including sociodemographics, comorbidity, and previous medicine use. RESULTS Among the nursing home residents, SARS-CoV-2 infection was found in 2482, 411 were admitted to hospital with covid-19, and 450 died with covid-19 during the study period. In parallel, 1828 nursing home staff and 2968 healthcare workers were found to have SARS-CoV-2 infection, but fewer than five were admitted or died with covid-19. The adjusted hazard ratio for SARS-CoV-2 infection after two doses of vaccine was 0.09 (95% confidence interval 0.08 to 0.11) for nursing home residents, 0.20 (0.17 to 0.24) for nursing home staff, and 0.13 (0.11 to 0.16) for healthcare workers. Adjusted hazard ratios for hospital admission and mortality after two doses of vaccine were 0.05 (0.04 to 0.07) and 0.03 (0.02 to 0.04), respectively, for nursing home residents. Nursing home staff and healthcare workers recorded insufficient events for mortality analysis. CONCLUSIONS Vaccination was associated with 80-91% reduction in SARS-CoV-2 infection in all three cohorts and greater reductions in hospital admissions and mortality among nursing home residents for up to five months. More data are needed on longer term effects of covid-19 vaccines.
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Affiliation(s)
- Carmen Cabezas
- Public Health Secretariat, Department of Health, Generalitat de Catalunya, Barcelona, Spain
| | - Ermengol Coma
- Direcció assistencial d'Atenció Primària i a la Comunitat, Institut Català de la Salut (ICS), Generalitat de Catalunya, Barcelona, Spain
| | - Nuria Mora-Fernandez
- Direcció assistencial d'Atenció Primària i a la Comunitat, Institut Català de la Salut (ICS), Generalitat de Catalunya, Barcelona, Spain
| | - Xintong Li
- Centre for Statistics in Medicine, NDORMS, University of Oxford, Oxford, UK
| | - Montse Martinez-Marcos
- Public Health Secretariat, Department of Health, Generalitat de Catalunya, Barcelona, Spain
| | - Francesc Fina
- Direcció assistencial d'Atenció Primària i a la Comunitat, Institut Català de la Salut (ICS), Generalitat de Catalunya, Barcelona, Spain
| | - Mireia Fabregas
- Direcció assistencial d'Atenció Primària i a la Comunitat, Institut Català de la Salut (ICS), Generalitat de Catalunya, Barcelona, Spain
| | | | - Angel Jover
- Direcció assistencial d'Atenció Primària i a la Comunitat, Institut Català de la Salut (ICS), Generalitat de Catalunya, Barcelona, Spain
| | - Juan Carlos Contel
- Chronic Care Program, Integrated Health and Social Care Plan, Department of Health, Generalitat de Catalunya, Barcelona, Spain
| | - Yolanda Lejardi
- Institut Català de la Salut (ICS), Generalitat de Catalunya, Barcelona, Spain
| | - Belen Enfedaque
- Direcció assistencial d'Atenció Primària i a la Comunitat, Institut Català de la Salut (ICS), Generalitat de Catalunya, Barcelona, Spain
| | | | - Manuel Medina-Peralta
- Direcció assistencial d'Atenció Primària i a la Comunitat, Institut Català de la Salut (ICS), Generalitat de Catalunya, Barcelona, Spain
| | - Daniel Prieto-Alhambra
- Centre for Statistics in Medicine, NDORMS, University of Oxford, Oxford, UK
- Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands
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19
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Catala M, Coma E, Alonso S, Álvarez-Lacalle E, Cordomi S, López D, Fina F, Medina-Peralta M, Prats C, Prieto-Alhambra D. Risk Diagrams Based on Primary Care Electronic Medical Records and Linked Real-Time PCR Data to Monitor Local COVID-19 Outbreaks During the Summer 2020: A Prospective Study Including 7,671,862 People in Catalonia. Front Public Health 2021; 9:693956. [PMID: 34291033 PMCID: PMC8287173 DOI: 10.3389/fpubh.2021.693956] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Accepted: 06/07/2021] [Indexed: 11/23/2022] Open
Abstract
Monitoring transmission is a prerequisite for containing COVID-19. We report on effective potential growth (EPG) as a novel measure for the early identification of local outbreaks based on primary care electronic medical records (EMR) and PCR-confirmed cases. Secondly, we studied whether increasing EPG precedes local hospital and intensive care (ICU) admissions and mortality. Population-based cohort including all Catalan citizens' PCR tests, hospitalization, intensive care (ICU) and mortality between 1/07/2020 and 13/09/2020; linked EMR covering 88.6% of the Catalan population was obtained. Nursing home residents were excluded. COVID-19 counts were ascertained based on EMR and PCRs separately. Weekly empirical propagation (ρ7) and 14-day cumulative incidence (A14) and 95% confidence intervals were estimated at care management area (CMA) level, and combined as EPG = ρ7 × A14. Overall, 7,607,201 and 6,798,994 people in 43 CMAs were included for PCR and EMR measures, respectively. A14, ρ7, and EPG increased in numerous CMAs during summer 2020. EMR identified 2.70-fold more cases than PCRs, with similar trends, a median (interquartile range) 2 (1) days earlier, and better precision. Upticks in EPG preceded increases in local hospital admissions, ICU occupancy, and mortality. Increasing EPG identified localized outbreaks in Catalonia, and preceded local hospital and ICU admissions and subsequent mortality. EMRs provided similar estimates to PCR, but some days earlier and with better precision. EPG is a useful tool for the monitoring of community transmission and for the early identification of COVID-19 local outbreaks.
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Affiliation(s)
- Marti Catala
- Computational Biology and Complex Systems (BIOCOM-SC), Department of Physics, Universitat Politècnica de Catalunya, Castelldefels, Spain.,Comparative Medicine and Bioimage Centre of Catalonia (CMCiB), Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain
| | - Ermengol Coma
- Sistemes d'Informació dels Serveis d'Atenció Primària (SISAP), Institut Català de la Salut (ICS), Barcelona, Spain
| | - Sergio Alonso
- Computational Biology and Complex Systems (BIOCOM-SC), Department of Physics, Universitat Politècnica de Catalunya, Castelldefels, Spain
| | - Enrique Álvarez-Lacalle
- Computational Biology and Complex Systems (BIOCOM-SC), Department of Physics, Universitat Politècnica de Catalunya, Castelldefels, Spain
| | - Silvia Cordomi
- Direcció d'Estratègia i Qualitat, Institut Català de la Salut, Barcelona, Spain
| | - Daniel López
- Computational Biology and Complex Systems (BIOCOM-SC), Department of Physics, Universitat Politècnica de Catalunya, Castelldefels, Spain
| | - Francesc Fina
- Sistemes d'Informació dels Serveis d'Atenció Primària (SISAP), Institut Català de la Salut (ICS), Barcelona, Spain
| | - Manuel Medina-Peralta
- Sistemes d'Informació dels Serveis d'Atenció Primària (SISAP), Institut Català de la Salut (ICS), Barcelona, Spain
| | - Clara Prats
- Computational Biology and Complex Systems (BIOCOM-SC), Department of Physics, Universitat Politècnica de Catalunya, Castelldefels, Spain.,Comparative Medicine and Bioimage Centre of Catalonia (CMCiB), Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain
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20
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Wei W, Sivapalasingam S, Mellis S, Geba GP, Jalbert JJ. A Retrospective Study of COVID-19-Related Urgent Medical Visits and Hospitalizations After Outpatient COVID-19 Diagnosis in the US. Adv Ther 2021; 38:3185-3202. [PMID: 33961213 PMCID: PMC8103122 DOI: 10.1007/s12325-021-01742-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 04/09/2021] [Indexed: 01/08/2023]
Abstract
INTRODUCTION Identifying risk factors for progression to severe COVID-19 requiring urgent medical visits and hospitalizations (UMVs) among patients initially diagnosed in the outpatient setting may help inform patient management. The objective of this study was to estimate the incidence of and risk factors for COVID-19-related UMVs after outpatient COVID-19 diagnosis or positive SARS-CoV-2 test. METHODS Data for this retrospective cohort study were from the Optum® de-identified COVID-19 Electronic Health Record database from June 1 to December 9, 2020. Adults with first COVID-19 diagnosis or positive SARS-CoV-2 test in outpatient settings were identified. Cumulative incidence function analysis stratified by risk factors was used to estimate the 30-day incidence of COVID-19-related UMVs. Competing risk regression models were used to derive adjusted hazard ratios (aHR) and 95% confidence intervals (95% CI) for factors associated with UMVs. RESULTS Among 206,741 patients [58.8% female, 77.5% non-Hispanic Caucasian, mean (SD) age: 46.7 (17.8) years], the 30-day incidence was 9.4% (95% CI 9.3-9.6) for COVID-19-related emergency room (ER)/urgent care (UC)/hospitalizations and 3.8% (95% CI 3.7-3.9) for COVID-19-related hospitalizations. Likelihood of hospitalization increased with age and body mass index, with age the strongest risk factor (aHR 5.61; 95% CI 4.90-6.32 for patients ≥ 85 years). Increased likelihood of hospitalization was observed for first presentation in the ER/UC vs. non-ER/UC outpatient settings (aHR 2.35; 95% CI 2.22-2.47) and prior all-cause hospitalization (aHR 1.90; 95% CI 1.79-2.00). Clinical risk factors of hospitalizations included pregnancy, uncontrolled diabetes, chronic obstructive pulmonary disease, chronic kidney disease, and autoimmune disease. A study limitation is that data on COVID-19 severity and symptoms were not captured. CONCLUSION Predictors of COVID-19-related UMVs include older age, obesity, and several comorbidities. These findings may inform patient management and resource allocation following outpatient COVID-19 diagnosis.
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Affiliation(s)
- Wenhui Wei
- Regeneron Pharmaceuticals Inc., 777 Old Saw Mill River Road, Tarrytown, NY, 10591, USA.
| | | | - Scott Mellis
- Regeneron Pharmaceuticals Inc., 777 Old Saw Mill River Road, Tarrytown, NY, 10591, USA
| | - Gregory P Geba
- Regeneron Pharmaceuticals Inc., 777 Old Saw Mill River Road, Tarrytown, NY, 10591, USA
| | - Jessica J Jalbert
- Regeneron Pharmaceuticals Inc., 777 Old Saw Mill River Road, Tarrytown, NY, 10591, USA
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21
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Puig-Domingo M, Marazuela M, Yildiz BO, Giustina A. COVID-19 and endocrine and metabolic diseases. An updated statement from the European Society of Endocrinology. Endocrine 2021; 72:301-316. [PMID: 33963516 PMCID: PMC8105151 DOI: 10.1007/s12020-021-02734-w] [Citation(s) in RCA: 71] [Impact Index Per Article: 23.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 04/16/2021] [Indexed: 01/08/2023]
Abstract
BACKGROUND COVID-19 has completely changed our daily clinical practice as well as our social relations. Many organs and biological systems are involved in SARS-Cov-2 infection, either due to direct virus-induced damage or to indirect effects that can have systemic consequences. Endocrine system is not only an exception but its involvement in COVID-19 is so relevant that an "endocrine phenotype" of COVID-19 has progressively acquired clinical relevance. AIM We have been appointed by the European Society of Endocrinology (ESE) to update with the current statement ESE members and the whole endocrine community on the emerging endocrine phenotype of COVID-19 and its implication for the prevention and management of the disease. CONCLUSIONS Diabetes has a major role in this phenotype since it is one of the most frequent comorbidities associated with severity and mortality of COVID-19. Careful management including treatment modifications may be required for protecting our patients rather with known diabetes from the most dangerous consequences of COVID-19 or hospitalized with COVID-19, but also in patients with SARS-CoV-2 induced newly onset diabetes. Obesity increases susceptibility to SARS-CoV-2 and the risk for COVID-19 adverse outcome. Adequate nutritional management needs to be granted to patients with obesity or undernourishment in order to limit their increased susceptibility and severity of COVID-19 infection. Lack of vitamin D, hypocalcemia and vertebral fractures have also emerged as frequent findings in the hospitalized COVID-19 population and may negatively impact on the outcome of such patients. Also, in patients with adrenal insufficiency prompt adaptation of glucocorticoid doses may be needed. Moreover, in this updated statement role of sex hormones as well as peculiar pituitary and thyroid aspects of COVID-19 have been included. Finally, in view of the mass vaccination, potential implications for endocrine patients should be considered.
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Affiliation(s)
- M Puig-Domingo
- Endocrinology and Nutrition Service, Department of Medicine, Germans Trias i Pujol Health Science Research Institute and Hospital, Universitat Autònoma de Barcelona, Badalona, Spain
| | - M Marazuela
- Department of Endocrinology, Hospital Universitario de la Princesa, Instituto de Investigación de la Princesa, Universidad Autónoma de Madrid, Madrid, Spain
| | - B O Yildiz
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Hacettepe University School of Medicine, Hacettepe Ankara, Turkey
| | - A Giustina
- Institute of Endocrine and Metabolic Sciences, Vita-Salute San Raffaele University, IRCCS San Raffaele Hospital, Milano, Italy.
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22
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Pou MA, Gayarre R, Ferrer-Moret S, Fernández-San-Martín MI, Feijoo MV, Diaz-Torne C. [The role of primary care in the COVID-19 crisis. Experience of an urban Primary Care team]. Aten Primaria 2021; 53:102082. [PMID: 33957554 PMCID: PMC8043655 DOI: 10.1016/j.aprim.2021.102082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 03/29/2021] [Accepted: 03/30/2021] [Indexed: 10/29/2022] Open
Affiliation(s)
- Maria Antònia Pou
- Centro de Atención Primaria Maragall, ABS Encants, Institut Català de la Salut, Universitat Autónoma de Barcelona, Barcelona, España.
| | - Raquel Gayarre
- Centro de Atención Primaria Maragall, ABS Encants, Institut Català de la Salut, Universitat Autónoma de Barcelona, Barcelona, España
| | - Sílvia Ferrer-Moret
- Centro de Atención Primaria Maragall, ABS Encants, Institut Català de la Salut, Universitat Autónoma de Barcelona, Barcelona, España
| | - María Isabel Fernández-San-Martín
- Unitat de Suport a la Recerca, Fundació Institut Universitari per a la recerca a l'Atenció Primaria de Salut Jordi Gol i Gurina (IDIAP J Gol), Unitat Docent Multiprofesional Gerència Territorial Barcelona, Institut Català de la Salut, Barcelona, España
| | - María Victoria Feijoo
- BASIQ Unitat d'Avaluació, Sistemes d'informació i Qualitat, Gerència Territorial de Barcelona Ciutat, Institut Català de la Salut, Barcelona, España
| | - Cesar Diaz-Torne
- Servei de Reumatologia, Hospital de la Santa Creu i Sant Pau, Universitat Autónoma de Barcelona, Barcelona, España
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23
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Coma E, Méndez-Boo L, Mora N, Guiriguet C, Benítez M, Fina F, Fàbregas M, Balló E, Ramos F, Medina M, Argimon JM. Divergences on expected pneumonia cases during the COVID-19 epidemic in Catalonia: a time-series analysis of primary care electronic health records covering about 6 million people. BMC Infect Dis 2021; 21:283. [PMID: 33740907 PMCID: PMC7979451 DOI: 10.1186/s12879-021-05985-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 03/09/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Pneumonia is one of the complications of COVID-19. Primary care electronic health records (EHR) have shown the utility as a surveillance system. We therefore analyse the trends of pneumonia during two waves of COVID-19 pandemic in order to use it as a clinical surveillance system and an early indicator of severity. METHODS Time series analysis of pneumonia cases, from January 2014 to December 2020. We collected pneumonia diagnoses from primary care EHR, a software system covering > 6 million people in Catalonia (Spain). We compared the trend of pneumonia in the season 2019-2020 with that in the previous years. We estimated the expected pneumonia cases with data from 2014 to 2018 using a time series regression adjusted by seasonality and influenza epidemics. RESULTS Between 4 March and 5 May 2020, 11,704 excess pneumonia cases (95% CI: 9909 to 13,498) were identified. Previously, we identified an excess from January to March 2020 in the population older than 15 years of 20%. We observed another excess pneumonia period from 22 october to 15 november of 1377 excess cases (95% CI: 665 to 2089). In contrast, we observed two great periods with reductions of pneumonia cases in children, accounting for 131 days and 3534 less pneumonia cases (95% CI, 1005 to 6064) from March to July; and 54 days and 1960 less pneumonia cases (95% CI 917 to 3002) from October to December. CONCLUSIONS Diagnoses of pneumonia from the EHR could be used as an early and low cost surveillance system to monitor the spread of COVID-19.
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Affiliation(s)
- Ermengol Coma
- Sistemes d'Informació dels Serveis d'Atenció Primària (SISAP), Institut Català de la Salut (ICS), Gran Via de les Corts Catalanes, 587, 08007, Barcelona, Spain.
| | - Leonardo Méndez-Boo
- Sistemes d'Informació dels Serveis d'Atenció Primària (SISAP), Institut Català de la Salut (ICS), Gran Via de les Corts Catalanes, 587, 08007, Barcelona, Spain
| | - Núria Mora
- Sistemes d'Informació dels Serveis d'Atenció Primària (SISAP), Institut Català de la Salut (ICS), Gran Via de les Corts Catalanes, 587, 08007, Barcelona, Spain
| | - Carolina Guiriguet
- Sistemes d'Informació dels Serveis d'Atenció Primària (SISAP), Institut Català de la Salut (ICS), Gran Via de les Corts Catalanes, 587, 08007, Barcelona, Spain
- Equip d'Atenció Primària de Gòtic, Institut Català de la Salut, Barcelona, Spain
| | - Mència Benítez
- Sistemes d'Informació dels Serveis d'Atenció Primària (SISAP), Institut Català de la Salut (ICS), Gran Via de les Corts Catalanes, 587, 08007, Barcelona, Spain
- Equip d'Atenció Primària de Gòtic, Institut Català de la Salut, Barcelona, Spain
| | - Francesc Fina
- Sistemes d'Informació dels Serveis d'Atenció Primària (SISAP), Institut Català de la Salut (ICS), Gran Via de les Corts Catalanes, 587, 08007, Barcelona, Spain
| | - Mireia Fàbregas
- Sistemes d'Informació dels Serveis d'Atenció Primària (SISAP), Institut Català de la Salut (ICS), Gran Via de les Corts Catalanes, 587, 08007, Barcelona, Spain
| | - Elisabet Balló
- Sistemes d'Informació dels Serveis d'Atenció Primària (SISAP), Institut Català de la Salut (ICS), Gran Via de les Corts Catalanes, 587, 08007, Barcelona, Spain
- Equip d'Atenció Primària de Salt, Institut Català de la Salut, Girona, Spain
| | - Francisa Ramos
- Sistemes d'Informació dels Serveis d'Atenció Primària (SISAP), Institut Català de la Salut (ICS), Gran Via de les Corts Catalanes, 587, 08007, Barcelona, Spain
| | - Manuel Medina
- Sistemes d'Informació dels Serveis d'Atenció Primària (SISAP), Institut Català de la Salut (ICS), Gran Via de les Corts Catalanes, 587, 08007, Barcelona, Spain
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24
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Burn E, Tebé C, Fernandez-Bertolin S, Aragon M, Recalde M, Roel E, Prats-Uribe A, Prieto-Alhambra D, Duarte-Salles T. The natural history of symptomatic COVID-19 during the first wave in Catalonia. Nat Commun 2021; 12:777. [PMID: 33536436 PMCID: PMC7858639 DOI: 10.1038/s41467-021-21100-y] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 01/07/2021] [Indexed: 11/15/2022] Open
Abstract
The natural history of coronavirus disease 2019 (COVID-19) has yet to be fully described. Here, we use patient-level data from the Information System for Research in Primary Care (SIDIAP) to summarise COVID-19 outcomes in Catalonia, Spain. We included 5,586,521 individuals from the general population. Of these, 102,002 had an outpatient diagnosis of COVID-19, 16,901 were hospitalised with COVID-19, and 5273 died after either being diagnosed or hospitalised with COVID-19 between 1st March and 6th May 2020. Older age, being male, and having comorbidities were all generally associated with worse outcomes. These findings demonstrate the continued need to protect those at high risk of poor outcomes, particularly older people, from COVID-19 and provide appropriate care for those who develop symptomatic disease. While risks of hospitalisation and death were lower for younger populations, there is a need to limit their role in community transmission.
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Affiliation(s)
- Edward Burn
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Centre for Statistics in Medicine (CSM), Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK
| | - Cristian Tebé
- Biostatistics Unit at Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet, Barcelona, Spain
- Universitat de Barcelona, Barcelona, Spain
| | - Sergio Fernandez-Bertolin
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Maria Aragon
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Martina Recalde
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Elena Roel
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Albert Prats-Uribe
- Centre for Statistics in Medicine (CSM), Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK
| | - Daniel Prieto-Alhambra
- Centre for Statistics in Medicine (CSM), Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK.
| | - Talita Duarte-Salles
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
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