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Wu L, Han X, Chen L, Guo L, Li Y, Alwalid O, Nie T, Wu F, Zhi X, Fan Y, Shi H, Zheng C. Impact of Diabetes on Persistent Radiological Abnormalities and Pulmonary Diffusion Dysfunction in COVID-19 Survivors: A 3-Year Prospective Cohort Study. Acad Radiol 2024:S1076-6332(24)00449-5. [PMID: 39069434 DOI: 10.1016/j.acra.2024.07.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 07/08/2024] [Accepted: 07/09/2024] [Indexed: 07/30/2024]
Abstract
RATIONALE AND OBJECTIVES Little is known about the long-term impact of diabetes on lung impairment in COVID-19 survivors over a three-year period. This study evaluated the long-term impact of diabetes on persistent radiological pulmonary abnormalities and lung function impairment in COVID-19 survivors over three years. MATERIALS AND METHODS In this prospective, multicenter, cohort study, pulmonary sequelae were compared between COVID-19 survivors with and without diabetes. Serial chest CT scans, symptom questionnaires and pulmonary function tests were obtained 6 months, 12 months, 2 years and 3 years post-discharge. The independent predictors for lung dysfunction at the 3-year follow-up were analyzed. RESULTS A total of 278 COVID-19 survivors (63 [IQR 57-69] year-old, female: 103 [37.0%]) were included. At the 3-year follow-up, individuals in the diabetes group had higher incidences of respiratory symptoms, radiological pulmonary abnormalities and pulmonary diffusion dysfunction than those in the control group. Diabetes (OR: 2.18, 95% CI: 1.04-4.59, p = 0.034), allergy (OR: 2.26, 95% CI: 1.09-4.74, p = 0.029), female (OR: 2.70, 95% CI: 1.37-5.29, p = 0.004), severe COVID-19 (OR: 4.10, 95% CI: 1.54-10.93, p = 0.005), and fibrotic-like CT changes (OR: 5.64, 95% CI: 2.28-13.98, p < 0.001) were independent predictors of pulmonary diffusion dysfunction in COVID-19 survivors. CONCLUSION These results highlight the long-term deleterious effect of diabetes status on radiological pulmonary abnormalities and pulmonary dysfunction in COVID-19 survivors. This study provides important evidence support for long-term monitoring of lung abnormalities in COVID-19 recovery survivors with diabetes.
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Affiliation(s)
- Linxia Wu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei Province 430022, The People's Republic of China (L.W., X.H., Y.L., T.N., F.W., X.Z., H.S., C.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, The People's Republic of China (L.W., X.H., Y.L., T.N., F.W., X.Z., H.S., C.Z.)
| | - Xiaoyu Han
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei Province 430022, The People's Republic of China (L.W., X.H., Y.L., T.N., F.W., X.Z., H.S., C.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, The People's Republic of China (L.W., X.H., Y.L., T.N., F.W., X.Z., H.S., C.Z.)
| | - Lu Chen
- Department of Radiology, Wuhan Jinyintan Hospital, Tongji Medical College of HuaZhong University of Science and Technology, 430023, The People's Republic of China (L.C., Y.F.)
| | - Liyan Guo
- Department of Function, Wuhan Jinyintan Hospital, Tongji Medical College of HuaZhong University of Science and Technology, 430023, The People's Republic of China (L.G.)
| | - Yumin Li
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei Province 430022, The People's Republic of China (L.W., X.H., Y.L., T.N., F.W., X.Z., H.S., C.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, The People's Republic of China (L.W., X.H., Y.L., T.N., F.W., X.Z., H.S., C.Z.)
| | - Osamah Alwalid
- Department of Diagnostic Imaging, Sidra Medicine, Doha 26999, Qatar (O.A.)
| | - Tong Nie
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei Province 430022, The People's Republic of China (L.W., X.H., Y.L., T.N., F.W., X.Z., H.S., C.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, The People's Republic of China (L.W., X.H., Y.L., T.N., F.W., X.Z., H.S., C.Z.)
| | - Feihong Wu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei Province 430022, The People's Republic of China (L.W., X.H., Y.L., T.N., F.W., X.Z., H.S., C.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, The People's Republic of China (L.W., X.H., Y.L., T.N., F.W., X.Z., H.S., C.Z.)
| | - Xiaoling Zhi
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei Province 430022, The People's Republic of China (L.W., X.H., Y.L., T.N., F.W., X.Z., H.S., C.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, The People's Republic of China (L.W., X.H., Y.L., T.N., F.W., X.Z., H.S., C.Z.)
| | - Yanqing Fan
- Department of Radiology, Wuhan Jinyintan Hospital, Tongji Medical College of HuaZhong University of Science and Technology, 430023, The People's Republic of China (L.C., Y.F.)
| | - Heshui Shi
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei Province 430022, The People's Republic of China (L.W., X.H., Y.L., T.N., F.W., X.Z., H.S., C.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, The People's Republic of China (L.W., X.H., Y.L., T.N., F.W., X.Z., H.S., C.Z.)
| | - Chuansheng Zheng
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei Province 430022, The People's Republic of China (L.W., X.H., Y.L., T.N., F.W., X.Z., H.S., C.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, The People's Republic of China (L.W., X.H., Y.L., T.N., F.W., X.Z., H.S., C.Z.).
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Servais T, Laurent F, Roland T, Rossi C, De Groote E, Godart V, Repetto E, Ponchon M, Chasseur P, Crenier L, Van Eeckhoudt S, Yango J, Oriot P, Morisca Gavriliu M, Rouhard S, Deketelaere B, Maiter D, Hermans MP, Yombi JC, Orioli L. Mortality-related risk factors of inpatients with diabetes and COVID-19: A multicenter retrospective study in Belgium. ANNALES D'ENDOCRINOLOGIE 2024; 85:36-43. [PMID: 37574109 DOI: 10.1016/j.ando.2023.08.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 06/01/2023] [Accepted: 08/03/2023] [Indexed: 08/15/2023]
Abstract
BACKGROUND AND AIMS We describe mortality-related risk factors of inpatients with diabetes and coronavirus disease 2019 (COVID-19) in Belgium. METHODS We conducted a multicenter retrospective study from March to May, 2020, in 8 Belgian centers. Data on admission of patients with diabetes and COVID-19 were collected. Survivors were compared to non-survivors to identify prognostic risk factors for in-hospital death using multivariate analysis in both the total population and in the subgroup of patients admitted in the intensive care unit (ICU). RESULTS The study included 375 patients. The mortality rate was 26.4% (99/375) in the total population and 40% (27/67) in the ICU. Multivariate analysis identified older age (HR 1.05 [CI 1.03-1.07], P<0.0001) and male gender (HR 2.01 [1.31-3.07], P=0.0013) as main independent risk factors for in-hospital death in the total population. Metformin (HR 0.51 [0.34-0.78], P=0.0018) and renin-angiotensin-aldosterone system blockers (HR 0.56 [0.36-0.86], P=0.0088) use before admission were independent protective factors. In the ICU, chronic kidney disease (CKD) was identified as an independent risk factor for death (HR 4.96 [2.14-11.5], P<0.001). CONCLUSION In-hospital mortality due to the first wave of COVID-19 pandemic in Belgium was high in patients with diabetes. We found that advanced age and male gender were independent risk factors for in-hospital death. We also showed that metformin use before admission was associated with a significant reduction of COVID-19-related in-hospital mortality. Finally, we showed that CKD is a COVID-19-related mortality risk factor in patients with diabetes admitted in the ICU.
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Affiliation(s)
- Thomas Servais
- Department of Endocrinology and Nutrition, Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, 1200 Brussels, Belgium
| | - France Laurent
- Department of Infectiology, Centre Hospitalier Universitaire Ambroise Paré, Boulevard John Fitzgerald Kennedy 2, 7000 Mons, Belgium
| | - Thomas Roland
- Department of Infectiology, Centre Hospitalier Universitaire Ambroise Paré, Boulevard John Fitzgerald Kennedy 2, 7000 Mons, Belgium
| | - Camelia Rossi
- Department of Infectiology, Centre Hospitalier Universitaire Ambroise Paré, Boulevard John Fitzgerald Kennedy 2, 7000 Mons, Belgium
| | - Elodie De Groote
- Department of Infectiology, Hôpital de Jolimont, Rue Ferrer 159, 7100 Haine-Saint-Paul, Belgium
| | - Valérie Godart
- Department of Endocrinology-Diabetology, Hôpital de Jolimont, Rue Ferrer 159, 7100 Haine-Saint-Paul, Belgium
| | - Ernestina Repetto
- Department of Infectiology, Clinique Saint-Jean, Boulevard du Jardin Botanique 32, 1000 Brussels, Belgium
| | - Michel Ponchon
- Department of Endocrinology-Diabetology, Clinique Saint-Jean, Boulevard du Jardin Botanique 32, 1000 Brussels, Belgium
| | - Pascale Chasseur
- Department of Endocrinology, Hôpital Erasme, Cliniques Universiraires de Bruxelles, Route de Lennik 808, 1070 Brussels, Belgium
| | - Laurent Crenier
- Department of Endocrinology, Hôpital Erasme, Cliniques Universiraires de Bruxelles, Route de Lennik 808, 1070 Brussels, Belgium
| | - Sandrine Van Eeckhoudt
- Department of Internal Medicine and Infectious Diseases, Clinique Saint-Luc Bouge, Rue Saint-Luc 8, 5004 Namur, Belgium
| | - John Yango
- Department of Endocrinology-Diabetology, Clinique Saint-Luc Bouge, Rue Saint-Luc 8, 5004 Namur, Belgium
| | - Philippe Oriot
- Department of Diabetology, Centre Hospitalier de Mouscron, Avenue de Fécamp 49, 7700 Mouscron, Belgium
| | - Mirela Morisca Gavriliu
- Department of Diabetology, Centre Hospitalier de Mouscron, Avenue de Fécamp 49, 7700 Mouscron, Belgium
| | - Stéphanie Rouhard
- Department of Endocrinology-Diabetology, Centre Hospitalier Régional de Huy, Rue Delloye Matthieu 2, 4500 Huy, Belgium
| | - Benjamin Deketelaere
- Institute of Statistics, Biostatistics and Actuarial Sciences, Université Catholique de Louvain, Rue des Wallons 6, 1348 Ottignies-Louvain-La-Neuve, Belgium
| | - Dominique Maiter
- Department of Endocrinology and Nutrition, Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, 1200 Brussels, Belgium
| | - Michel Paul Hermans
- Department of Endocrinology and Nutrition, Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, 1200 Brussels, Belgium
| | - Jean Cyr Yombi
- Department of Internal Medicine and Infectious Diseases, Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, 1200 Brussels, Belgium
| | - Laura Orioli
- Department of Endocrinology and Nutrition, Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, 1200 Brussels, Belgium; Endocrinology, Diabetology and Nutrition, Institute of Clinical and Experimental Research, Université Catholique de Louvain, Avenue Hippocrate 55, 1200 Brussels, Belgium.
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Qu D, Liu J, Zhou L, Yang Y, Wu C, Xu X, Zhu Q, Wang C, Zhao X. Association of serum amyloid A and prognosis in people with diabetes and COVID-19: A retrospective cohort study. J Diabetes Investig 2024; 15:44-51. [PMID: 38031656 PMCID: PMC10759722 DOI: 10.1111/jdi.14118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 11/12/2023] [Accepted: 11/16/2023] [Indexed: 12/01/2023] Open
Abstract
AIMS/INTRODUCTION Serum amyloid A (SAA) is an acute phase reactive protein that plays a vital role in the early diagnosis, risk prediction, efficacy observation and prognosis evaluation of infectious diseases. This study aimed to assess the association between SAA levels and the prognosis of patients with coronavirus disease 2019 (COVID-19) and diabetes. MATERIALS AND METHODS We carried out this retrospective cohort study from March 2022 to May 2022. The population was stratified by tertiles of SAA levels: low (<8.5 mg/L), medium (8.5-36 mg/L) and high (>36 mg/L). The primary outcome was whether the patient developed severe COVID-19, and secondary outcomes included the need for invasive mechanical ventilation and length of hospital stay. Logistic regression analyses were carried out to identify risk factors affecting the prognosis of patients with COVID-19 and diabetes. RESULTS We analyzed 910 diabetes patients with COVID-19. The median age of the patients was 69 years, and 52.3% were men. As SAA levels increased, the proportion of severe COVID-19 (6.3% vs 7.3% vs 22.8%, P < 0.001) and the proportion of invasive mechanical ventilation also increased among the three groups. Patients with high SAA levels had a longer length of hospital stay compared with patients with medium SAA and low SAA levels. Univariate logistic regression analysis showed that SAA >36 mg/L further increased the odds ratio to 4.423 (P < 0.001) for the development of severe COVID-19 compared with low SAA. Multivariate logistic regression analysis, adjusted for age and sex, confirmed that SAA >36 mg/L remained an independent risk factor for the development of severe COVID-19 (adjusted odds ratio 3.038, P < 0.001). CONCLUSIONS SAA levels are strongly associated with poor prognosis in patients with COVID-19 and diabetes.
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Affiliation(s)
- Duoduo Qu
- Department of EndocrinologyShanghai Public Health Clinical CenterShanghaiChina
| | - Jia Liu
- Department of EndocrinologyShanghai Public Health Clinical CenterShanghaiChina
| | - Lihua Zhou
- Department of EndocrinologyShanghai Public Health Clinical CenterShanghaiChina
| | - Yaling Yang
- Department of EndocrinologyShanghai Public Health Clinical CenterShanghaiChina
| | - Chenwei Wu
- Department of EndocrinologyShanghai Public Health Clinical CenterShanghaiChina
| | - Xinyue Xu
- Department of EndocrinologyShanghai Public Health Clinical CenterShanghaiChina
| | - Qin Zhu
- Department of EndocrinologyShanghai Public Health Clinical CenterShanghaiChina
| | - Chunhong Wang
- Department of EndocrinologyShanghai Public Health Clinical CenterShanghaiChina
| | - Xiaolong Zhao
- Department of EndocrinologyShanghai Public Health Clinical CenterShanghaiChina
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Khunti K, Chudasama YV, Gregg EW, Kamkuemah M, Misra S, Suls J, Venkateshmurthy NS, Valabhji J. Diabetes and Multiple Long-term Conditions: A Review of Our Current Global Health Challenge. Diabetes Care 2023; 46:2092-2101. [PMID: 38011523 DOI: 10.2337/dci23-0035] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 07/26/2023] [Indexed: 11/29/2023]
Abstract
Use of effective treatments and management programs is leading to longer survival of people with diabetes. This, in combination with obesity, is thus contributing to a rise in people living with more than one condition, known as multiple long-term conditions (MLTC or multimorbidity). MLTC is defined as the presence of two or more long-term conditions, with possible combinations of physical, infectious, or mental health conditions, where no one condition is considered as the index. These include a range of conditions such as cardiovascular diseases, cancer, chronic kidney disease, arthritis, depression, dementia, and severe mental health illnesses. MLTC has major implications for the individual such as poor quality of life, worse health outcomes, fragmented care, polypharmacy, poor treatment adherence, mortality, and a significant impact on health care services. MLTC is a challenge, where interventions for prevention and management are lacking a robust evidence base. The key research directions for diabetes and MLTC from a global perspective include system delivery and care coordination, lifestyle interventions and therapeutic interventions.
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Affiliation(s)
- Kamlesh Khunti
- Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, U.K
| | - Yogini V Chudasama
- Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, U.K
| | - Edward W Gregg
- School of Population Health, Royal College of Surgeons in Ireland University of Medicine and Health Sciences, Dublin, Ireland
| | - Monika Kamkuemah
- Innovation Africa and Department of Architecture, Faculty of Engineering, Built Environment and Information Technology, University of Pretoria, Pretoria, South Africa
| | - Shivani Misra
- Division of Metabolism, Digestion and Reproduction, Imperial College London, London, U.K
- Department of Diabetes and Endocrinology, St Mary's Hospital, Imperial College Healthcare NHS Trust, London, U.K
| | - Jerry Suls
- Institute for Health System Science, Feinstein Institutes for Medical Research Northwell Health, New York, NY
| | - Nikhil S Venkateshmurthy
- Public Health Foundation of India, New Delhi, India
- Centre for Chronic Disease Control, New Delhi, India
| | - Jonathan Valabhji
- Division of Metabolism, Digestion and Reproduction, Imperial College London, London, U.K
- Department of Diabetes and Endocrinology, St Mary's Hospital, Imperial College Healthcare NHS Trust, London, U.K
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Al-Azzam N, Al-Azzam S, Khassawneh B, Araydah M, Karasneh RA, Aldeyab MA. Factors contributing to poor COVID-19 outcomes in diabetic patients: Findings from a single-center cohort study. PLoS One 2023; 18:e0290946. [PMID: 37651383 PMCID: PMC10470961 DOI: 10.1371/journal.pone.0290946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 08/20/2023] [Indexed: 09/02/2023] Open
Abstract
Diabetes Mellitus (DM) is a frequent comorbidity in patients infected with the SARS-CoV-2 virus. The risk of developing severe or critical COVID-19 and higher mortality was observed to be increased in diabetic patients hospitalized due to COVID-19. In this study we aimed to find out the impact of clinical characteristics, comorbidities, laboratory results, and complications on the outcomes of diabetic patients hospitalized due to COVID-19. This article is a retrospective cohort study that include diabetic patients hospitalized with COVID-19 infection. A definition of diabetes was based on the past history of diabetes or if the HbA1c was 6.5% or higher. Demographics, clinical characteristics, comorbidities, laboratory results, and complications were extracted from the electronic medical records. The mortality rate increased with increasing age (from 5.56% in younger patients to 46% in the elderly) and with severity (from 25.71% in moderate cases to 43.77% in critical cases). We found that a critical severity on admission (OR: 5.26, 95% CI: 1.28-21.66, p = 0.0214), a history of stroke (OR: 8.37, 95% CI: 2.2-31.88, p = 0.0018), and low calcium levels on admission (OR: 2.23, 95% CI: 1.01-4.91, p = 0.0475) were significant risk factors predicting higher COVID-19 mortality in diabetic patients. The findings of this study suggest that reduced calcium levels could potentially indicate higher mortality due to COVID-19 in patients with DM. Furthermore, careful monitoring of diabetic patients hospitalized due to COVID-19 infection, especially those with critical disease severity or those with a history of stroke, may improve their outcome and lessen mortality.
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Affiliation(s)
- Nosayba Al-Azzam
- Department of Physiology and Biochemistry, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan
| | - Sayer Al-Azzam
- Department of Clinical Pharmacy, Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, Jordan
| | - Basheer Khassawneh
- Department of Internal Medicine, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan
| | | | - Reema A. Karasneh
- Department of Basic Medical Sciences, Faculty of Medicine, Yarmouk University, Irbid, Jordan
| | - Mamoon A. Aldeyab
- Department of Pharmacy, School of Applied Sciences, University of Huddersfield, Huddersfield, United Kingdom
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Wu J, Tao Z, Gao N, Shen J, Chen ZL, Zhou H, Zheng S. The Use of Multidimensional Nomial Logistic Model and Structural Equation Model in the Validation of the 14-Item Health-Literacy Scale in Chinese Patients Living with Type 2 Diabetes. Risk Manag Healthc Policy 2023; 16:1567-1579. [PMID: 37602365 PMCID: PMC10439802 DOI: 10.2147/rmhp.s419879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 08/04/2023] [Indexed: 08/22/2023] Open
Abstract
Objective To evaluate the psychometric properties of the 14-item health literacy scale (HL-14) in patients living with type 2 diabetes mellitus (T2DM) in clinical setting. Methods Cross-sectional study using item response theory and structural equation modeling (SEM) for testing the item difficulty and three dimensional-HL configurations was adopted in this study. Chinese patients living with T2DM admitted to endocrinology department of Huadong hospital were evaluated by the HL-14 including communication, functional and critical health literacy from August to December 2021. Results The multidimensional random coefficients multinomial logistic model indicated the difficulty settings of the scale are appropriate for the study populations, and differential item functioning was not observed for sex in the study. SEM demonstrated that the three-dimensional configuration of the scale is good in the study population (x2/df=2.698, Comparative Fit Index = 0.965, Root Mean Square Error of Approximation = 0.076, standard residual mean root = 0.042). Conclusion The HL-14 scale is a reliable and valid measurement, which can perform equitably across sex in evaluating the health literacy in Chinese patients living with T2DM. Moreover, the scale may help fill the gaps of multidimensional health literacy assessment and rapid screening of health literacy ability for clinical practice.
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Affiliation(s)
- JianBo Wu
- Department of Pharmacy, Huadong Hospital, Fudan University, Shanghai, People’s Republic of China
| | - ZhuJun Tao
- Department of Pharmacy, Huadong Hospital, Fudan University, Shanghai, People’s Republic of China
| | - NingZhou Gao
- Department of Pharmacy, Huadong Hospital, Fudan University, Shanghai, People’s Republic of China
| | - Jie Shen
- Department of Pharmacy, Huadong Hospital, Fudan University, Shanghai, People’s Republic of China
| | - Zhi-Long Chen
- Department of Pharmacy, Huadong Hospital, Fudan University, Shanghai, People’s Republic of China
| | - HaiFeng Zhou
- Department of Pharmacy, Huadong Hospital, Fudan University, Shanghai, People’s Republic of China
| | - SongBai Zheng
- Department of Geriatrics, Huadong Hospital, Fudan University, Shanghai, People’s Republic of China
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Vojtková J, Bánovčin P, Ďurdíková A, Nováková E, Jeseňák M. Mild Hyperglycaemia in Hospitalised Children with Moderate COVID-19 Infection. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:medicina59050944. [PMID: 37241176 DOI: 10.3390/medicina59050944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 04/30/2023] [Accepted: 05/09/2023] [Indexed: 05/28/2023]
Abstract
Background and Objectives: COVID-19 infection may influence many physiological processes, including glucose metabolism. Acute hyperglycaemia has been related to a worse prognosis in patients with severe COVID-19 infection. The aim of our study was to find out if moderate COVID-19 infection is associated with hyperglycaemia. Materials and Methods: A total of 235 children were enrolled in the study between October 2021 and October 2022, 112 with confirmed COVID-19 infection and 123 with other RNA viral infection. In all patients, types of symptoms, glycaemia at the time of admission, and basic anthropometric and biochemical parameters were recorded. Results: Average glycaemia was significantly higher in COVID-19 patients compared to other viral infections (5.7 ± 1.12 vs. 5.31 ± 1.4 mmol/L, p = 0.011). This difference was more obvious in subgroups with gastrointestinal manifestations (5.6 ± 1.11 vs. 4.81 ± 1.38 mmol/L, p = 0.0006) and with fever (5.76±1.22 vs. 5.11±1.37 mmol/L, p = 0.002), while no significant difference was found in subgroups with mainly respiratory symptoms. The risk of hyperglycaemia (>5.6 mmol/L) was higher in COVID-19 patients compared to other viral infections (OR = 1.86, 95%CI = 1.10-3.14, p = 0.02). The risk of hyperglycaemia was significantly higher in COVID-19 compared to other viral infections in the subgroups of patients with fever (OR = 3.59, 95% CI 1.755-7.345, p = 0.0005) and with gastrointestinal manifestations (OR = 2.48, 95% CI 1.058-5.791, p = 0.036). Conclusion: According to our results, mild hyperglycaemia was significantly more common in children with moderate COVID-19 infection compared to other RNA virus respiratory and gastrointestinal infections, especially when accompanied by fever or gastrointestinal symptoms.
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Affiliation(s)
- Jarmila Vojtková
- Department of Paediatrics, Comenius University in Bratislava, Jessenius Faculty of Medicine and University Hospital, 036 01 Martin, Slovakia
| | - Peter Bánovčin
- Department of Paediatrics, Comenius University in Bratislava, Jessenius Faculty of Medicine and University Hospital, 036 01 Martin, Slovakia
| | - Anna Ďurdíková
- Department of Paediatrics, Comenius University in Bratislava, Jessenius Faculty of Medicine and University Hospital, 036 01 Martin, Slovakia
| | - Elena Nováková
- Department of Microbiology and Immunology, Comenius University in Bratislava, Jessenius Faculty of Medicine, 036 01 Martin, Slovakia
| | - Miloš Jeseňák
- Department of Paediatrics, Comenius University in Bratislava, Jessenius Faculty of Medicine and University Hospital, 036 01 Martin, Slovakia
- Department of Clinical Immunology and Allergology, University Hospital in Martin, 036 01 Martin, Slovakia
- Department of Pulmonology and Phthisiology, Comenius University in Bratislava, Jessenius Faculty of Medicine and University Hospital, 036 01 Martin, Slovakia
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Gaborit B, Fernandes S, Loubet P, Ninove L, Dutour A, Cariou B, Coupaye M, Clement K, Czernichow S, Carette C, Resseguier N, Esterle L, Kali S, Houssays M, de Lamballerie X, Wittkop L, Launay O, Laville M. Early humoral response to COVID-19 vaccination in patients living with obesity and diabetes in France. The COVPOP OBEDIAB study with results from the ANRS0001S COV-POPART cohort. Metabolism 2023; 142:155412. [PMID: 36731720 PMCID: PMC9886395 DOI: 10.1016/j.metabol.2023.155412] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 01/20/2023] [Accepted: 01/23/2023] [Indexed: 02/02/2023]
Abstract
BACKGROUND Patients with diabetes and obesity are populations at high-risk for severe COVID-19 outcomes and have shown blunted immune responses when administered different vaccines. Here we used the 'ANRS0001S COV-POPART' French nationwide multicenter prospective cohort to investigate early humoral response to COVID-19 vaccination in the sub-cohort ('COVPOP OBEDIAB') of patients with obesity and diabetes. METHODS Patients with diabetes (n = 390, type 1 or 2) or obesity (n = 357) who had received two vaccine doses and had no history of previous COVID-19 infection and negative anti-nucleocapsid (NCP) antibodies were included and compared against healthy subjects (n = 573). Humoral response was assessed at baseline, at one month post-first dose (M0) and one-month post-second dose (M1), through percentage of responders (positive anti-spike SARS-CoV-2 IgG antibodies (Sabs), geometric means of Sabs; BAU/mL), proportion of individuals with anti-RBD antibodies, and proportion of individuals with anti-SARS-CoV-2-specific neutralizing antibodies (Nabs). Potential clinical and biological factors associated with weak response (defined as Sabs < 264 BAU/mL) and presence of non-reactive anti-RBD antibodies at M1 were evaluated. Univariate and multivariate regressions were performed to estimate crude and adjusted coefficients with 95 % confidence intervals. Poor glycemic control was defined as HbA1c ≥ 7.5 % at inclusion. RESULTS Patients with diabetes, particularly type 2 diabetes, and patients with obesity were less likely to have positive Sabs and anti-RBD antibodies after the first and second dose compared to controls (p < 0.001). At M1, we found Sabs seroconversion in 94.1 % of patients with diabetes versus 99.7 % in controls, anti-RBD seroconversion in 93.8 % of patients with diabetes versus 99.1 % in controls, and Nabs seroconversion in 95.7 % of patients with diabetes versus 99.6 % in controls (all p < 0.0001). Sabs and anti-RBD seroconversion at M0 and M1 were also significantly lower in obese patients than controls, at respectively 82.1 % versus 89.9 % (p = 0.001; M0 Sabs), 94.4 % versus 99.7 % (p 0.001; M1 Sabs), 79.0 % vs 86.2 % (p = 0.004 M0 anti-RBD), and 96.99 % vs 99.1 % (p = 0.012 M1 anti-RBD). The factors associated with low vaccine response (BAU < 264/mL) in patients with diabetes were chronic kidney disease (adjusted OR = 6.88 [1.77;26.77], p = 0.005) and poor glycemic control (adjusted OR = 3.92 [1.26;12.14], p = 0.018). In addition, BMI ≥ 40 kg/m2 was found to be associated with a higher vaccine response (adjusted OR = 0.10 [0.01;0.91], p = 0.040) than patients with BMI < 40 kg/m2. CONCLUSION COVID-19 vaccine humoral response was lower in patients with obesity and diabetes one month after second dose compared to controls, especially in diabetic patients with CKD or inadequate glycemic control. These findings point to the need for post-vaccination serological checks in these high-risk populations.
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Affiliation(s)
- Bénédicte Gaborit
- Aix Marseille Univ, INSERM, INRAE, C2VN, Marseille, France; Department of Endocrinology, Metabolic Diseases and Nutrition-ENDO platform, APHM, Marseille, France.
| | - Sara Fernandes
- Support Unit for Clinical Research and Economic Evaluation, Assistance Publique-Hôpitaux de Marseille, 13385 Marseille, France; Aix-Marseille Univ, EA 3279 CEReSS-Health Service Research and Quality of Life Center, Marseille, France
| | - Paul Loubet
- Inserm, F-CRIN, Innovative Clinical Research in Vaccinology Network (I REIVAC), Paris, France; Service des Maladies Infectieuses et Tropicales, CHU de Nîmes, Nîmes, France; INSERM U1047 - Université de Montpellier, Nîmes, France
| | - Laetitia Ninove
- Unite des Virus Emergents, Aix-Marseille Université, Institut de Recherche pour le Développement 190, Inserm 1207, Institut Hospitalo-Universitaire Méditerranée Infection, Marseille, France
| | - Anne Dutour
- Aix Marseille Univ, INSERM, INRAE, C2VN, Marseille, France; Department of Endocrinology, Metabolic Diseases and Nutrition-ENDO platform, APHM, Marseille, France
| | - Bertrand Cariou
- Nantes Université, CHU Nantes, CNRS, INSERM, Institut du Thorax, 44000 Nantes, France
| | - Muriel Coupaye
- Service des Explorations Fonctionnelles, Centre Intégré de Prise en Charge de l'Obésité (CINFO), Hôpital Louis Mourier (AP-HP), 92700 Colombes, France
| | - Karine Clement
- Department of Nutrition, Pitie-Salpetrière Hospital (AP-HP), Sorbonne University, CRNH-Ile-de-France, Paris, France
| | - Sébastien Czernichow
- Assistance Publique-Hôpitaux de Paris, Service de Nutrition, Hôpital Européen Georges Pompidou, Centre Spécialisé Obésité Ile-de-France Sud, 75015 Paris, France
| | - Claire Carette
- Assistance Publique-Hôpitaux de Paris, Service de Nutrition, Hôpital Européen Georges Pompidou, Centre Spécialisé Obésité Ile-de-France Sud, 75015 Paris, France; Assistance Publique-Hôpitaux de Paris (AP-HP), Centre d'Investigation Clinique INSERM 1418, Hôpital Européen Georges Pompidou, Paris, France
| | - Noémie Resseguier
- Support Unit for Clinical Research and Economic Evaluation, Assistance Publique-Hôpitaux de Marseille, 13385 Marseille, France; Aix-Marseille Univ, EA 3279 CEReSS-Health Service Research and Quality of Life Center, Marseille, France
| | - Laure Esterle
- Univ. Bordeaux, INSERM, MART, UMS 54, F-33000 Bordeaux, France
| | | | - Marie Houssays
- Assistance-Publique Hôpitaux de Marseille, Medical Evaluation Department, CIC-CPCET, 13005 Marseille, France
| | - Xavier de Lamballerie
- Unite des Virus Emergents, Aix-Marseille Université, Institut de Recherche pour le Développement 190, Inserm 1207, Institut Hospitalo-Universitaire Méditerranée Infection, Marseille, France
| | - Linda Wittkop
- Univ. Bordeaux, INSERM, MART, UMS 54, F-33000 Bordeaux, France; Inria Equipe SISTM, Talence, France; CHU de Bordeaux, Service d'Information Médicale, INSERM, Institut Bergonié, CIC-EC 1401, Bordeaux, France
| | - Odile Launay
- Inserm, F-CRIN, Innovative Clinical Research in Vaccinology Network (I REIVAC), Paris, France; Université Paris Cité; Inserm CIC 1417; Assistance Publique Hôpitaux de Paris, Centre d'investigation clinique Cochin Pasteur, Paris, France
| | - Martine Laville
- Univ Lyon, CarMeN Laboratory, Inserm, Inrae, Université Claude Bernard Lyon-1, Oullins, France; Centre de Recherche en Nutrition Humaine Rhône-Alpes, Univ Lyon, CarMeN Laboratory, Université Claude Bernard Lyon-1, Hospices Civils de Lyon, Cens, Fcrin/force Network, Pierre-Bénite, France
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Auzanneau M, Eckert AJ, Fritsche A, Heni M, Icks A, Mueller-Stierlin AS, Dugic A, Risse A, Lanzinger S, Holl RW. Diabetes in all hospitalized cases in Germany 2015-2019 and impact of the first COVID-19 year 2020. Endocr Connect 2023; 12:EC-22-0475. [PMID: 36811912 PMCID: PMC10083653 DOI: 10.1530/ec-22-0475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 02/22/2023] [Indexed: 02/24/2023]
Abstract
OBJECTIVE To analyze the proportion of diabetes among all hospitalized cases in Germany between 2015 and 2020. METHODS Using the nationwide Diagnosis-Related-Groups statistics, we identified among all inpatient cases aged ≥ 20 years all types of diabetes in the main or secondary diagnoses based on ICD-10 codes, as well all COVID-19 diagnoses for 2020. RESULTS From 2015 to 2019, the proportion of cases with diabetes among all hospitalizations increased from 18.3% (3.01 of 16.45 million) to 18.5% (3.07 of 16.64 million). Although the total number of hospitalizations decreased in 2020, the proportion of cases with diabetes increased to 18.8% (2.73 of 14.50 million). The proportion of COVID-19 diagnosis was higher in cases with diabetes than in those without in all sex and age subgroups. The relative risk (RR) for a COVID-19 diagnosis in cases with vs without diabetes was highest in age group 40-49 years (RR in females: 1.51; in males: 1.41). CONCLUSIONS The prevalence of diabetes in the hospital is twice as high as the prevalence in the general population and has increased further with the COVID-19 pandemic, underscoring the increased morbidity in this high-risk patient group. This study provides essential information that should help to better estimate the need for diabetological expertise in inpatient care settings.
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Affiliation(s)
- Marie Auzanneau
- Institute of Epidemiology and Medical Biometry, ZIBMT, Medical Faculty of Ulm University, Ulm, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Correspondence should be addressed to M Auzanneau:
| | - Alexander J Eckert
- Institute of Epidemiology and Medical Biometry, ZIBMT, Medical Faculty of Ulm University, Ulm, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Andreas Fritsche
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Department of Internal Medicine IV, University Hospital Tübingen, Germany
- Institute of Diabetes Research and Metabolic Diseases (IDM) of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany
| | - Martin Heni
- Institute of Diabetes Research and Metabolic Diseases (IDM) of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany
- Division of Endocrinology and Diabetology, Department of Internal Medicine 1, University Hospital Ulm, Ulm, Germany
- Institute for Clinical Chemistry and Pathobiochemistry, Department for Diagnostic Laboratory Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Andrea Icks
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Health Services Research and Health Economics, Center for Health and Society, Faculty of Medicine, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Health Services Research and Health Economics, German Diabetes Center (DDZ), Leibniz Centre for Diabetes Research at Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Annabel S Mueller-Stierlin
- Department of General Practice and Primary Care, University Hospital Ulm, Um, Germany
- Department of Psychiatry and Psychotherapy II, University Hospital Ulm, Um, Germany
| | - Ana Dugic
- Department of Gastroenterology, Klinikum Bayreuth, Medizincampus Oberfranken der Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Bayreuth, Germany
| | - Alexander Risse
- Diabetes Center at Sophie-Charlotte-Platz, Diabetes Foot Unit, Berlin, Germany
| | - Stefanie Lanzinger
- Institute of Epidemiology and Medical Biometry, ZIBMT, Medical Faculty of Ulm University, Ulm, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Reinhard W Holl
- Institute of Epidemiology and Medical Biometry, ZIBMT, Medical Faculty of Ulm University, Ulm, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
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10
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Covid-19: Typ-2-Diabetes als unabhängiger Risikofaktor für schwere Verläufe? DIABETOL STOFFWECHS 2022. [DOI: 10.1055/a-1733-0854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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11
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The association between macrovascular complications and intensive care admission, invasive mechanical ventilation, and mortality in people with diabetes hospitalized for coronavirus disease-2019 (COVID-19). Cardiovasc Diabetol 2022; 21:216. [PMID: 36261811 DOI: 10.1186/s12933-022-01657-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Accepted: 09/24/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND It is not clear whether pre-existing macrovascular complications (ischemic heart disease, stroke or peripheral artery disease) are associated with health outcomes in people with diabetes mellitus hospitalized for COVID-19. METHODS We conducted cohort studies of adults with pre-existing diabetes hospitalized for COVID-19 infection in the UK, France, and Spain during the early phase of the pandemic (between March 2020-October 2020). Logistic regression models adjusted for demographic factors and other comorbidities were used to determine associations between previous macrovascular disease and relevant clinical outcomes: mortality, intensive care unit (ICU) admission and use of invasive mechanical ventilation (IMV) during the hospitalization. Output from individual logistic regression models for each cohort was combined in a meta-analysis. RESULTS Complete data were available for 4,106 (60.4%) individuals. Of these, 1,652 (40.2%) had any prior macrovascular disease of whom 28.5% of patients died. Mortality was higher for people with compared to those without previous macrovascular disease (37.7% vs 22.4%). The combined crude odds ratio (OR) for previous macrovascular disease and mortality for all four cohorts was 2.12 (95% CI 1.83-2.45 with an I2 of 60%, reduced after adjustments for age, sex, type of diabetes, hypertension, microvascular disease, ethnicity, and BMI to adjusted OR 1.53 [95% CI 1.29-1.81]) for the three cohorts. Further analysis revealed that ischemic heart disease and cerebrovascular disease were the main contributors of adverse outcomes. However, proportions of people admitted to ICU (adjOR 0.48 [95% CI 0.31-0.75], I2 60%) and the use of IMV during hospitalization (adjOR 0.52 [95% CI 0.40-0.68], I2 37%) were significantly lower for people with previous macrovascular disease. CONCLUSIONS This large multinational study of people with diabetes mellitus hospitalized for COVID-19 demonstrates that previous macrovascular disease is associated with higher mortality and lower proportions admitted to ICU and treated with IMV during hospitalization suggesting selective admission criteria. Our findings highlight the importance correctly assess the prognosis and intensive monitoring in this high-risk group of patients and emphasize the need to design specific public health programs aimed to prevent SARS-CoV-2 infection in this subgroup.
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