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Maier HE, Kowalski-Dobson T, Eckard A, Gherasim C, Manthei D, Meyers A, Davis D, Bakker K, Lindsey K, Chu Z, Warsinske L, Arnold M, Buswinka A, Stoneman E, Valdez R, Gordon A. Reduction in Long COVID Symptoms and Symptom Severity in Vaccinated Compared to Unvaccinated Adults. Open Forum Infect Dis 2024; 11:ofae039. [PMID: 38328496 PMCID: PMC10847810 DOI: 10.1093/ofid/ofae039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 01/22/2024] [Indexed: 02/09/2024] Open
Abstract
Background The impact of vaccination prior to infection on postacute sequelae of coronavirus disease 2019 (COVID-19, PASC), also known as long COVID, remains unclear. Here we assess the protective effect of vaccination on long COVID in a community-based setting. Methods The Immunity Associated with SARS-CoV-2 (IASO) study is an ongoing prospective cohort of working adults that began in October 2020. Participants are actively followed for severe acute respiratory syndrome coronavirus 2 infection. We compared the prevalence of symptoms and symptom severity in vaccinated compared to unvaccinated cases. Our primary definition of long COVID was the presence of symptoms at 90 days postinfection; 30 days postinfection was also examined. Results Overall, by 90 days postinfection, 13% of cases had long COVID, with 27% of unvaccinated cases and 8% of vaccinated cases reporting long COVID (relative risk [RR], 0.31 [95% confidence interval {CI}, .22-.42]). Vaccination was also associated with significantly lower average severity scores at all timepoints (eg, relative severity at 90 days postinfection: -2.70 [95% CI, -1.68 to -3.73]). In the pre-Omicron era, 28% of unvaccinated cases and 18% of vaccinated cases reported long COVID (P = .07), and vaccinated cases reported less severe symptoms including less difficulty breathing (P = .01; 90-day RR, 0.07). Conclusions Vaccinated cases had lower prevalence of long COVID and reduced symptom severity.
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Affiliation(s)
- Hannah E Maier
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Theresa Kowalski-Dobson
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Ashley Eckard
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Carmen Gherasim
- Department of Pathology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - David Manthei
- Department of Pathology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Alyssa Meyers
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Dawson Davis
- Department of Pathology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Kevin Bakker
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Kathleen Lindsey
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Zijin Chu
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Lauren Warsinske
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Matthew Arnold
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Anna Buswinka
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Emily Stoneman
- Department of Internal Medicine, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Riccardo Valdez
- Department of Pathology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Aubree Gordon
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
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Wu W, Gremel GW, He K, Messana JM, Sen A, Segal JH, Dahlerus C, Hirth RA, Kang J, Wisniewski K, Nahra T, Padilla R, Tong L, Gu H, Wang X, Slowey M, Eckard A, Ding X, Borowicz L, Du J, Frye B, Kalbfleisch JD. The Impact of COVID-19 on Postdischarge Outcomes for Dialysis Patients in the United States: Evidence from Medicare Claims Data. Kidney360 2022; 3:1047-1056. [PMID: 35845326 PMCID: PMC9255877 DOI: 10.34067/kid.0000242022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 04/15/2022] [Indexed: 01/10/2023]
Abstract
Background Recent investigations have shown that, on average, patients hospitalized with coronavirus disease 2019 (COVID-19) have a poorer postdischarge prognosis than those hospitalized without COVID-19, but this effect remains unclear among patients with end-stage kidney disease (ESKD) who are on dialysis. Methods Leveraging a national ESKD patient claims database administered by the US Centers for Medicare and Medicaid Services, we conducted a retrospective cohort study that characterized the effects of in-hospital COVID-19 on all-cause unplanned readmission and death within 30 days of discharge for patients on dialysis. Included in this study were 436,745 live acute-care hospital discharges of 222,154 Medicare beneficiaries on dialysis from 7871 Medicare-certified dialysis facilities between January 1 and October 31, 2020. Adjusting for patient demographics, clinical characteristics, and prevalent comorbidities, we fit facility-stratified Cox cause-specific hazard models with two interval-specific (1-7 and 8-30 days after hospital discharge) effects of in-hospital COVID-19 and effects of prehospitalization COVID-19. Results The hazard ratios due to in-hospital COVID-19 over the first 7 days after discharge were 95% CI, 1.53 to 1.65 for readmission and 95% CI, 1.38 to 1.70 for death, both with P<0.001. For the remaining 23 days, the hazard ratios were 95% CI, 0.89 to 0.96 and 95% CI, 0.86 to 1.07, with P<0.001 and P=0.50, respectively. Effects of prehospitalization COVID-19 were mostly nonsignificant. Conclusions In-hospital COVID-19 had an adverse effect on both postdischarge readmission and death over the first week. With the surviving patients having COVID-19 substantially selected from those hospitalized, in-hospital COVID-19 was associated with lower rates of readmission and death starting from the second week.
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Affiliation(s)
- Wenbo Wu
- Kidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, Michigan,Department of Biostatistics, University of Michigan, Ann Arbor, Michigan,Department of Family Medicine, Michigan Medicine, University of Michigan, Ann Arbor, Michigan
| | - Garrett W. Gremel
- Kidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, Michigan
| | - Kevin He
- Kidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, Michigan,Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Joseph M. Messana
- Kidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, Michigan,Division of Nephrology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan
| | - Ananda Sen
- Kidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, Michigan,Department of Biostatistics, University of Michigan, Ann Arbor, Michigan,Department of Family Medicine, Michigan Medicine, University of Michigan, Ann Arbor, Michigan
| | - Jonathan H. Segal
- Kidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, Michigan,Division of Nephrology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan
| | - Claudia Dahlerus
- Kidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, Michigan,Division of Nephrology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan
| | - Richard A. Hirth
- Kidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, Michigan,Department of Health Policy and Management, University of Michigan, Ann Arbor, Michigan
| | - Jian Kang
- Kidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, Michigan,Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Karen Wisniewski
- Kidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, Michigan
| | - Tammie Nahra
- Kidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, Michigan
| | - Robin Padilla
- Kidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, Michigan
| | - Lan Tong
- Kidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, Michigan
| | - Haoyu Gu
- Kidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, Michigan
| | - Xi Wang
- Kidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, Michigan
| | - Megan Slowey
- Kidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, Michigan
| | - Ashley Eckard
- Kidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, Michigan
| | - Xuemei Ding
- Kidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, Michigan,Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Lisa Borowicz
- Kidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, Michigan
| | - Juan Du
- Kidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, Michigan
| | - Brandon Frye
- Kidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, Michigan
| | - John D. Kalbfleisch
- Kidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, Michigan,Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
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Saran R, Robinson B, Abbott KC, Agodoa LYC, Bhave N, Bragg-Gresham J, Balkrishnan R, Dietrich X, Eckard A, Eggers PW, Gaipov A, Gillen D, Gipson D, Hailpern SM, Hall YN, Han Y, He K, Herman W, Heung M, Hirth RA, Hutton D, Jacobsen SJ, Jin Y, Kalantar-Zadeh K, Kapke A, Kovesdy CP, Lavallee D, Leslie J, McCullough K, Modi Z, Molnar MZ, Montez-Rath M, Moradi H, Morgenstern H, Mukhopadhyay P, Nallamothu B, Nguyen DV, Norris KC, O'Hare AM, Obi Y, Park C, Pearson J, Pisoni R, Potukuchi PK, Rao P, Repeck K, Rhee CM, Schrager J, Schaubel DE, Selewski DT, Shaw SF, Shi JM, Shieu M, Sim JJ, Soohoo M, Steffick D, Streja E, Sumida K, Tamura MK, Tilea A, Tong L, Wang D, Wang M, Woodside KJ, Xin X, Yin M, You AS, Zhou H, Shahinian V. US Renal Data System 2017 Annual Data Report: Epidemiology of Kidney Disease in the United States. Am J Kidney Dis 2019; 71:A7. [PMID: 29477157 DOI: 10.1053/j.ajkd.2018.01.002] [Citation(s) in RCA: 483] [Impact Index Per Article: 96.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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Saran R, Robinson B, Abbott KC, Agodoa LYC, Albertus P, Ayanian J, Balkrishnan R, Bragg-Gresham J, Cao J, Chen JLT, Cope E, Dharmarajan S, Dietrich X, Eckard A, Eggers PW, Gaber C, Gillen D, Gipson D, Gu H, Hailpern SM, Hall YN, Han Y, He K, Hebert P, Helmuth M, Herman W, Heung M, Hutton D, Jacobsen SJ, Ji N, Jin Y, Kalantar-Zadeh K, Kapke A, Katz R, Kovesdy CP, Kurtz V, Lavalee D, Li Y, Lu Y, McCullough K, Molnar MZ, Montez-Rath M, Morgenstern H, Mu Q, Mukhopadhyay P, Nallamothu B, Nguyen DV, Norris KC, O'Hare AM, Obi Y, Pearson J, Pisoni R, Plattner B, Port FK, Potukuchi P, Rao P, Ratkowiak K, Ravel V, Ray D, Rhee CM, Schaubel DE, Selewski DT, Shaw S, Shi J, Shieu M, Sim JJ, Song P, Soohoo M, Steffick D, Streja E, Tamura MK, Tentori F, Tilea A, Tong L, Turf M, Wang D, Wang M, Woodside K, Wyncott A, Xin X, Zang W, Zepel L, Zhang S, Zho H, Hirth RA, Shahinian V. US Renal Data System 2016 Annual Data Report: Epidemiology of Kidney Disease in the United States. Am J Kidney Dis 2018; 69:A7-A8. [PMID: 28236831 DOI: 10.1053/j.ajkd.2016.12.004] [Citation(s) in RCA: 550] [Impact Index Per Article: 91.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Siontis KC, Zhang X, Eckard A, Bhave N, Schaubel DE, He K, Tilea A, Stack AG, Balkrishnan R, Yao X, Noseworthy PA, Shah ND, Saran R, Nallamothu BK. Outcomes Associated With Apixaban Use in Patients With End-Stage Kidney Disease and Atrial Fibrillation in the United States. Circulation 2018; 138:1519-1529. [PMID: 29954737 PMCID: PMC6202193 DOI: 10.1161/circulationaha.118.035418] [Citation(s) in RCA: 296] [Impact Index Per Article: 49.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Patients with end-stage kidney disease (ESKD) on dialysis were excluded from clinical trials of direct oral anticoagulants for atrial fibrillation (AF). Recent data have raised concerns regarding the safety of dabigatran and rivaroxaban, but apixaban has not been evaluated despite current labeling supporting its use in this population. The goal of this study was to determine patterns of apixaban use and its associated outcomes in dialysis-dependent patients with ESKD and AF. METHODS We performed a retrospective cohort study of Medicare beneficiaries included in the United States Renal Data System (October 2010 to December 2015). Eligible patients were those with ESKD and AF undergoing dialysis who initiated treatment with an oral anticoagulant. Because of the small number of dabigatran and rivaroxaban users, outcomes were only assessed in patients treated with apixaban or warfarin. Apixaban and warfarin patients were matched (1:3) based on prognostic score. Differences between groups in survival free of stroke or systemic embolism, major bleeding, gastrointestinal bleeding, intracranial bleeding, and death were assessed using Kaplan-Meier analyses. Hazard ratios (HRs) and 95% CIs were derived from Cox regression analyses. RESULTS The study population consisted of 25 523 patients (45.7% women; 68.2±11.9 years of age), including 2351 patients on apixaban and 23 172 patients on warfarin. An annual increase in apixaban prescriptions was observed after its marketing approval at the end of 2012, such that 26.6% of new anticoagulant prescriptions in 2015 were for apixaban. In matched cohorts, there was no difference in the risks of stroke/systemic embolism between apixaban and warfarin (HR, 0.88; 95% CI, 0.69-1.12; P=0.29), but apixaban was associated with a significantly lower risk of major bleeding (HR, 0.72; 95% CI, 0.59-0.87; P<0.001). In sensitivity analyses, standard-dose apixaban (5 mg twice a day; n=1034) was associated with significantly lower risks of stroke/systemic embolism and death as compared with either reduced-dose apixaban (2.5 mg twice a day; n=1317; HR, 0.61; 95% CI, 0.37-0.98; P=0.04 for stroke/systemic embolism; HR, 0.64; 95% CI, 0.45-0.92; P=0.01 for death) or warfarin (HR, 0.64; 95% CI, 0.42-0.97; P=0.04 for stroke/systemic embolism; HR, 0.63; 95% CI, 0.46-0.85; P=0.003 for death). CONCLUSIONS Among patients with ESKD and AF on dialysis, apixaban use may be associated with a lower risk of major bleeding compared with warfarin, with a standard 5 mg twice a day dose also associated with reductions in thromboembolic and mortality risk.
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Affiliation(s)
- Konstantinos C. Siontis
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Xiaosong Zhang
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Ashley Eckard
- Kidney Epidemiology and Cost Center, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Nicole Bhave
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Douglas E. Schaubel
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Kevin He
- Kidney Epidemiology and Cost Center, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Anca Tilea
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Austin G. Stack
- Department of Nephrology, Graduate Entry Medical School & Health Research Institute, University of Limerick, Limerick, Ireland
| | - Rajesh Balkrishnan
- Section on Population Health and Prevention Research, University of Virginia, Charlottesville, VA, USA
| | - Xiaoxi Yao
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA
- Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Peter A. Noseworthy
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Nilay D. Shah
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA
- Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Rajiv Saran
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
- Kidney Epidemiology and Cost Center, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Brahmajee K. Nallamothu
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA
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Siontis K, Eckard A, Bhave N, Noseworthy P, Shah N, Yao X, He K, Stack A, Balkrishnan R, Saran R, Nallamothu B. USE OF DIRECT ORAL ANTICOAGULANTS IN DIALYSIS PATIENTS WITH ATRIAL FIBRILLATION IN THE UNITED STATES. J Am Coll Cardiol 2018. [DOI: 10.1016/s0735-1097(18)31053-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Powell A, Shary J, Ramakrishnan V, Eckard A, Wagner C. Impact of vitamin D supplementation on bacterial vaginosis in pregnancy. Am J Obstet Gynecol 2017. [DOI: 10.1016/j.ajog.2017.08.055] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Eckard A, Beck R, Guthoff RF. Vergleich der Kontrastsensitivität nach Multifokallinsen- und Monofokallinsenimplantation im Rahmen einer Kataraktoperation. Klin Monbl Augenheilkd 2006. [DOI: 10.1055/s-2006-946994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Eckard A. In-vivo-Untersuchungen des kornealen Epithels mit dem konfokalen Rostocker-Laser-Scanning-Mikroskop (RLSM). Klin Monbl Augenheilkd 2005. [DOI: 10.1055/s-2005-922175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Eckard A, Stave J, Guthoff RF. Konfokale in-vivo Laser-Scanning-Mikroskopie der humanen Hornhaut mit dem Heidelberg Retina Tomographen in Kombination mit dem Rostock Cornea Modul (RCM) bei Kontaktlinsenträgern – Erste Ergebnisse. Klin Monbl Augenheilkd 2004. [DOI: 10.1055/s-2004-828745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Abstract
BACKGROUND Primary pulmonary hypertension (PPH) is a rare but fatal disease that results in right heart failure from idiopathic occlusion of the pulmonary arteries. Patients develop stagnation of venous pressure. PPH occurs most commonly in young and middle-aged women and the mean survival time from onset of symptoms is 2-3 years. The aetiology of PPH is unknown, although familial occurrence of the disease suggests a genetic predisposition. Pulmonary transplantation is reserved for patients who fail medical therapy. Pathophysiologically, PPH is a functional and structural alteration of the pulmonary blood vessels. METHODS The authors retrospectively reviewed the clinical records of three patients (mean age 34 years) diagnosed with PPH and retinal diseases. RESULTS All three patients developed central retinal vein occlusion (CRVO). One patient developed a neovascular glaucoma and on the other eye a serous retinal detachment with uveal effusion. A few months after the central vein obstruction was diagnosed two patients died as a result of PPH. CONCLUSIONS The elevated venous pressure found in PPH is responsible for decreased choroidal perfusion and reduced venous blood outflow from the eye. This would explain the clinical findings of serous retinal detachment and central retinal vein occlusion in these patients.
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Affiliation(s)
- R Beck
- Universitäts-Augenklinik und Poliklinik Rostock, Rostock, Germany.
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