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Schilling MPR, Portela MC, de Albuquerque MV, Martins M. COVID-19 inpatient care performance in the unified health system, São Paulo state, Brazil: an application of standardized mortality ratio for hospitals' comparisons : COVID-19 inpatient care performance in SUS, Brazil. BMC Health Serv Res 2024; 24:1125. [PMID: 39334045 PMCID: PMC11428977 DOI: 10.1186/s12913-024-11496-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 08/27/2024] [Indexed: 09/30/2024] Open
Abstract
OBJECTIVE To evaluate the variation in COVID-19 inpatient care mortality among hospitals reimbursed by the Unified Health System (SUS) in the first two years of the pandemic in São Paulo state and make performance comparisons within periods and over time. METHODS Observational study based on secondary data from the Hospital Information System. The study universe consisted of 289,005 adult hospitalizations whose primary diagnosis was COVID-19 in five periods from 2020 to 2022. A multilevel regression model was applied, and the death predictive variables were sex, age, Charlson Index, obesity, type of admission, Brazilian Deprivation Index (BrazDep), the month of admission, and hospital size. Then, the total observed deaths and total deaths predicted by the model's fixed effect component were aggregated by each hospital, estimating the Standardized Mortality Ratio (SMR) in each period. Funnel plots with limits of two standard deviations were employed to classify hospitals by performance (higher-than-expected, as expected, and lower-than-expected) and determine whether there was a change in category over the periods. RESULTS A positive association was observed between hospital mortality and size (number of beds). There was greater variation in the percentage of hospitals with as-expected performance (39.5 to 76.1%) and those with lower-than-expected performance (6.6 to 32.3%). The hospitals with higher-than-expected performance remained at around 30% of the total, except in the fifth period. In the first period, 64 hospitals (18.3%) had lower-than-expected performance, with standardized mortality ratios ranging from 1.2 to 4.4, while in the last period, only 23 (6.6%) hospitals were similarly classified, with ratios ranging from 1.3 to 2.8. A trend of homogenization and adjustment to expected performance was observed over time. CONCLUSION Despite the study's limitations, the results suggest an improvement in the COVID-19 inpatient care performance of hospitals reimbursed by the SUS in São Paulo over the period studied, measured by the standardized mortality ratio for hospitalizations due to COVID-19. Moreover, the methodological approach adapted to the Brazilian context provides an applicable tool to follow-up hospital's performance in caring all or specific-cause hospitalizations, in regular or exceptional emergency situations.
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Affiliation(s)
- Marla Presa Raulino Schilling
- Department of Health Administration and Planning, Sergio Arouca National School of Public Health, Oswaldo Cruz Foundation, INOVA Fiocruz Post-doctoral Program, Rio de Janeiro, RJ, Brazil.
| | - Margareth Crisóstomo Portela
- Department of Health Administration and Planning, Sergio Arouca National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil
| | - Mariana Vercesi de Albuquerque
- Department of Health Administration and Planning, Sergio Arouca National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil
| | - Mônica Martins
- Department of Health Administration and Planning, Sergio Arouca National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil
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Oakes EG, Dillon E, Buhler KA, Guan H, Paudel M, Marks K, Adejoorin I, Yee J, Ellrodt J, Tedeschi S, Sparks J, Case SM, Hsu T, Solomon DH, Jonsson AH, Alexander RV, Rao DA, Choi MY, Costenbader KH. Earlier vs. later time period of COVID-19 infection and emergent autoimmune signs, symptoms, and serologies. J Autoimmun 2024; 148:103299. [PMID: 39096716 DOI: 10.1016/j.jaut.2024.103299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 05/30/2024] [Accepted: 07/26/2024] [Indexed: 08/05/2024]
Abstract
OBJECTIVE Autoantibodies and autoimmune diseases after SARS-CoV-2 infection are widely reported. Given evolving variants, milder infections, and increasing population vaccination, we hypothesized that SARS-CoV-2 infection earlier in the pandemic would be associated with more autoimmune connective tissue disease (CTD) symptoms and immunologic abnormalities. METHODS Patients ≥18 years old with COVID-19 3/1/2020-8/15/2022 completed the CTD Screening Questionnaire and were tested for 27 autoimmune serologies, SARS-CoV-2 serologies, cell-bound complement activation products (CB-CAPs), and T and B lymphocyte immunophenotypes by flow cytometry. We assessed relationships between symptoms, serologies, and immunophenotypes in earlier (3/1/2020-1/31/2021) vs. later (2/1/2021-8/15/2022) periods, with different predominating SARS-CoV-2 viruses. RESULTS 57 subjects had earlier and 23 had later pandemic COVID-19. 35 % of earlier vs. 17 % of later pandemic patients had CTD symptoms (p 0.18). More patients were antinuclear antibody (ANA) positive (44 % vs. 13 %, p 0.01) and had lupus anticoagulant (11 % vs. 4 %, p 0.67). After adjustment for age, race, and sex, earlier (vs. later) COVID-19 was associated with increased ANA positivity (OR 4.60, 95%CI 1.17, 18.15). No subjects had positive CB-CAPs. T and B cell immunophenotypes and SARS-CoV-2 serologies did not differ by group. In heatmap analyses, higher autoantibody variety was seen among those with infection in the early pandemic. CONCLUSION In this sample, having COVID-19 infection in the earlier (pre-2/1/2021) vs. later pandemic was associated with more CTD symptoms, ANA positivity, and autoantibody reactivities. Earlier SARS-CoV-2 variants circulating in a less vaccinated population with less natural immunity may have been more immunogenic.
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Affiliation(s)
- Emily G Oakes
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Rd., Boston, MA, 02115, USA.
| | - Eilish Dillon
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Rd., Boston, MA, 02115, USA
| | - Katherine A Buhler
- Division of Rheumatology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Hongshu Guan
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Rd., Boston, MA, 02115, USA
| | - Misti Paudel
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Rd., Boston, MA, 02115, USA
| | - Kathryne Marks
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Rd., Boston, MA, 02115, USA
| | - Ifeoluwakiisi Adejoorin
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Rd., Boston, MA, 02115, USA
| | - Jeong Yee
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Rd., Boston, MA, 02115, USA
| | - Jack Ellrodt
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Rd., Boston, MA, 02115, USA
| | - Sara Tedeschi
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Rd., Boston, MA, 02115, USA
| | - Jeffrey Sparks
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Rd., Boston, MA, 02115, USA
| | - Siobhan M Case
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Rd., Boston, MA, 02115, USA
| | - Tiffany Hsu
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Rd., Boston, MA, 02115, USA
| | - Daniel H Solomon
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Rd., Boston, MA, 02115, USA
| | - A Helena Jonsson
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Rd., Boston, MA, 02115, USA
| | | | - Deepak A Rao
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Rd., Boston, MA, 02115, USA
| | - May Y Choi
- Division of Rheumatology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Karen H Costenbader
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Rd., Boston, MA, 02115, USA
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Akaishi T, Tarasawa K, Matsumoto Y, Sandhya P, Misu T, Fushimi K, Takahashi T, Fujimori J, Ishii T, Fujimori K, Yaegashi N, Nakashima I, Fujihara K, Aoki M. Associations between neuromyelitis optica spectrum disorder, Sjögren's syndrome, and conditions with electrolyte disturbances. J Neurol Sci 2023; 452:120742. [PMID: 37515845 DOI: 10.1016/j.jns.2023.120742] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 06/20/2023] [Accepted: 07/23/2023] [Indexed: 07/31/2023]
Abstract
OBJECTIVE Electrolyte disorders are among the important conditions negatively affecting the disease course of neuromyelitis optica spectrum disorder (NMOSD). Possible mechanisms may include renal tubular acidosis (RTA) accompanying Sjögren's syndrome (SS), syndrome of inappropriate antidiuretic hormone secretion (SIADH), and central diabetes insipidus (DI). Currently, the overlap profiles between these conditions remain uncertain. METHODS This cross-sectional study collected data from the nationwide administrative Diagnosis Procedure Combination (DPC) database and evaluated the overlap profiles. RESULTS Among the 28,285,908 individuals from 1203 DPC-covered hospitals, 8477 had NMOSD, 174108 had SS, 4977 had RTA, 7640 had SIADH, and 24,789 had central DI. Of those with NMOSD, 986 (12%) had SS. The odds ratio (OR) for a diagnosis of NMOSD in those with SS compared with those without was 21 [95% confidence interval (CI), 20-23]. Overlap between NMOSD and SS was seen both in males (OR, 28 [95% CI, 23-33]) and females (OR, 16 [15-17]) and was more prominent in the younger population. Among patients with SS, the prevalence of RTA was lower in patients with NMOSD compared with those without NMOSD. Patients with NMOSD showed a higher prevalence of SIADH (OR, 11 [7.5-17]; p < 0.0001) and DI (OR, 3.7 [2.4-5.3]; p < 0.0001). Comorbid SS in NMOSD was associated with a higher prevalence of DI. CONCLUSIONS Patients with NMOSD are likely to have SS, SIADH, and central DI. RTA in SS does not facilitate the overlap between NMOSD and SS. SS in NMOSD may predispose patients to DI.
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Affiliation(s)
- Tetsuya Akaishi
- Department of Neurology, Tohoku University Graduate School of Medicine, Tohoku University, Sendai, Japan; Department of Education and Support for Regional Medicine, Tohoku University Hospital, Sendai, Japan.
| | - Kunio Tarasawa
- Department of Health Administration and Policy, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yuki Matsumoto
- Department of Neurology, Tohoku University Graduate School of Medicine, Tohoku University, Sendai, Japan
| | | | - Tatsuro Misu
- Department of Neurology, Tohoku University Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Kiyohide Fushimi
- Department of Health Policy and Informatics, Tokyo Medical and Dental University Graduate School of Medical and Dental Sciences, Tokyo, Japan
| | - Toshiyuki Takahashi
- Department of Neurology, Tohoku University Graduate School of Medicine, Tohoku University, Sendai, Japan; Department of Neurology, National Hospital Organization Yonezawa National Hospital, Yonezawa, Japan
| | - Juichi Fujimori
- Department of Neurology, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Tadashi Ishii
- Department of Education and Support for Regional Medicine, Tohoku University Hospital, Sendai, Japan
| | - Kenji Fujimori
- Department of Health Administration and Policy, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Nobuo Yaegashi
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Ichiro Nakashima
- Department of Neurology, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Kazuo Fujihara
- Department of Neurology, Fukushima Medical University, Sendai, Japan
| | - Masashi Aoki
- Department of Neurology, Tohoku University Graduate School of Medicine, Tohoku University, Sendai, Japan
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König S, Hohenstein S, Pellissier V, Leiner J, Hindricks G, Nachtigall I, Kuhlen R, Bollmann A. Changing trends of patient characteristics and treatment pathways during the COVID-19 pandemic: A cross-sectional analysis of 72,459 inpatient cases from the German Helios database. Front Public Health 2022; 10:1028062. [PMID: 36420010 PMCID: PMC9678052 DOI: 10.3389/fpubh.2022.1028062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 10/12/2022] [Indexed: 11/09/2022] Open
Abstract
Background This study compared patient profiles and clinical courses of SARS-CoV-2 infected inpatients over different pandemic periods. Methods In a retrospective cross-sectional analysis, we examined administrative data of German Helios hospitals using ICD-10-codes at discharge. Inpatient cases with SARS-CoV-2 infection admitted between 03/04/2020 and 07/19/2022 were included irrespective of the reason for hospitalization. All endpoints were timely assigned to admission date for trend analysis. The first pandemic wave was defined by change points in time-series of incident daily infections and compared with different later pandemic phases according to virus type predominance. Results We included 72,459 inpatient cases. Patients hospitalized during the first pandemic wave (03/04/2020-05/05/2020; n = 1,803) were older (68.5 ± 17.2 vs. 64.4 ± 22.6 years, p < 0.01) and severe acute respiratory infections were more prevalent (85.2 vs. 53.3%, p < 0.01). No differences were observed with respect to distribution of sex, but comorbidity burden was higher in the first pandemic wave. The risk of receiving intensive care therapy was reduced in all later pandemic phases as was in-hospital mortality when compared to the first pandemic wave. Trend analysis revealed declines of mean age and Elixhauser comorbidity index over time as well as a decline of the utilization of intensive care therapy, mechanical ventilation and in-hospital mortality. Conclusion Characteristics and outcomes of inpatients with SARS-CoV-2 infection changed throughout the observational period. An ongoing evaluation of trends and care pathways will allow for the assessment of future demands.
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Affiliation(s)
- Sebastian König
- Department of Electrophysiology, Heart Center Leipzig at University of Leipzig, Leipzig, Germany,Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany,*Correspondence: Sebastian König
| | - Sven Hohenstein
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Vincent Pellissier
- Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Johannes Leiner
- Department of Electrophysiology, Heart Center Leipzig at University of Leipzig, Leipzig, Germany,Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Gerhard Hindricks
- Department of Electrophysiology, Heart Center Leipzig at University of Leipzig, Leipzig, Germany,Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
| | - Irit Nachtigall
- Department of Preventive Medicine and Hygiene, Helios Hospital Bad Saarow, Bad Saarow, Germany,Department of Anaesthesiology and Operative Intensive Care Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | | | - Andreas Bollmann
- Department of Electrophysiology, Heart Center Leipzig at University of Leipzig, Leipzig, Germany,Real World Evidence and Health Technology Assessment, Helios Health Institute, Berlin, Germany
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Portolés J, López-Sánchez P, Martin-Rodríguez L, Serrano-Salazar ML, Valdenebro-Recio M, Ramos A, Malo RM, Zalamea F, Martin-Giner JM, Marques M, Ortiz A. Acute and chronic kidney disease and risk of hospital mortality during COVID-19 pandemic waves in the pre-vaccination era. Clin Kidney J 2022; 16:374-383. [PMID: 36751624 PMCID: PMC9620382 DOI: 10.1093/ckj/sfac239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Indexed: 11/12/2022] Open
Abstract
Background Chronic kidney disease (CKD) is a risk factor for death from coronavirus disease 2019 (COVID-19), and COVID-19 may cause acute kidney injury (AKI) which also influences outcomes. There is little information on the independent contribution of CKD and AKI to the risk of death in COVID-19 on different waves, as CKD is a key risk factor for AKI. Methods We have studied the epidemiology of CKD and AKI in 2878 patients hospitalized for COVID-19 and their independent association with in-hospital mortality in the two largest pre-vaccination COVID-19 waves in Madrid, Spain. Hospitalized COVID-19 patients were grouped into four mutually exclusive categories: previous-CKD, community-acquired AKI (CA-AKI), hospital-acquired AKI (HA-AKI) and normal renal function throughout hospitalization. Results Pre-existent or acquired kidney involvement was observed in 35.5% and 36.8% of COVID-19 patients in the 1st and 3rd waves, respectively. Overall, 13.9% of patients with normal kidney function on arrival developed HA-AKI. In the 3rd wave, CA-AKI was more common than in the 1st wave. Overall, 9%-20% of CKD cases and 22%-40% of AKI cases remained undiagnosed in the discharge report. CKD, CA-AKI and HA-AKI were independently associated with risk of death in multivariate analysis, with HA-AKI, which was usually mild, being the most relevant independent risk factor for in-hospital mortality. A model including kidney involvement category, age, Charlson index, admission lactate dehydrogenase and lymphocytes predicted death with a receiver operating characteristic area under the curve of 0.898. Conclusion In conclusion, CKD and AKI were common in pre-vaccination waves among hospitalized COVID-19 patients and were independent risk factors for death, even when AKI was mild to moderate, and despite improvements in treatment.
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Affiliation(s)
- José Portolés
- Nephrology Department, Hospital Universitario Puerta de Hierro, Madrid, Spain,Research Network REDInREN 016/009/009 Instituto Salud Carlos III, Madrid, Spain,BIGSEN-Big Data, Inteligencia Artificial-S.E.N
| | - Paula López-Sánchez
- Nephrology Department, Hospital Universitario Puerta de Hierro, Madrid, Spain
| | | | - María Luisa Serrano-Salazar
- Nephrology Department, Hospital Universitario Puerta de Hierro, Madrid, Spain,Research Network REDInREN 016/009/009 Instituto Salud Carlos III, Madrid, Spain
| | - Maria Valdenebro-Recio
- Nephrology Department, Hospital Universitario Puerta de Hierro, Madrid, Spain,Research Network REDInREN 016/009/009 Instituto Salud Carlos III, Madrid, Spain
| | - Antonio Ramos
- Infectious Disease Department, Hospital Universitario Puerta de Hierro, Madrid, Spain
| | - Rosa María Malo
- Pneumology and Lung Transplant Department, Hospital Universitario Puerta de Hierro, Madrid, Spain
| | - Felipe Zalamea
- Nephrology Department, Hospital Universitario Puerta de Hierro, Madrid, Spain,Research Network REDInREN 016/009/009 Instituto Salud Carlos III, Madrid, Spain
| | | | - María Marques
- Nephrology Department, Hospital Universitario Puerta de Hierro, Madrid, Spain,Research Network REDInREN 016/009/009 Instituto Salud Carlos III, Madrid, Spain
| | - Alberto Ortiz
- Nephrology Department, Fundación Jiménez Díaz, Madrid, Spain,Research Network REDInREN 016/009/001 Instituto Salud Carlos III, Madrid, Spain
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