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Balcar L, Krawanja J, Scheiner B, Paternostro R, Simbrunner B, Semmler G, Jachs M, Hartl L, Stättermayer AF, Schwabl P, Pinter M, Szekeres T, Trauner M, Reiberger T, Mandorfer M. Impact of ammonia levels on outcome in clinically stable outpatients with advanced chronic liver disease. JHEP Rep 2023; 5:100682. [PMID: 36873421 PMCID: PMC9976454 DOI: 10.1016/j.jhepr.2023.100682] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 12/28/2022] [Accepted: 01/10/2023] [Indexed: 01/24/2023] Open
Abstract
Background & Aims Ammonia levels predicted hospitalisation in a recent landmark study not accounting for portal hypertension and systemic inflammation severity. We investigated (i) the prognostic value of venous ammonia levels (outcome cohort) for liver-related outcomes while accounting for these factors and (ii) its correlation with key disease-driving mechanisms (biomarker cohort). Methods (i) The outcome cohort included 549 clinically stable outpatients with evidence of advanced chronic liver disease. (ii) The partly overlapping biomarker cohort comprised 193 individuals, recruited from the prospective Vienna Cirrhosis Study (VICIS: NCT03267615). Results (i) In the outcome cohort, ammonia increased across clinical stages as well as hepatic venous pressure gradient and United Network for Organ Sharing model for end-stage liver disease (2016) strata and were independently linked with diabetes. Ammonia was associated with liver-related death, even after multivariable adjustment (adjusted hazard ratio [aHR]: 1.05 [95% CI: 1.00-1.10]; p = 0.044). The recently proposed cut-off (≥1.4 × upper limit of normal) was independently predictive of hepatic decompensation (aHR: 2.08 [95% CI: 1.35-3.22]; p <0.001), non-elective liver-related hospitalisation (aHR: 1.86 [95% CI: 1.17-2.95]; p = 0.008), and - in those with decompensated advanced chronic liver disease - acute-on-chronic liver failure (aHR: 1.71 [95% CI: 1.05-2.80]; p = 0.031). (ii) Besides hepatic venous pressure gradient, venous ammonia was correlated with markers of endothelial dysfunction and liver fibrogenesis/matrix remodelling in the biomarker cohort. Conclusions Venous ammonia predicts hepatic decompensation, non-elective liver-related hospitalisation, acute-on-chronic liver failure, and liver-related death, independently of established prognostic indicators including C-reactive protein and hepatic venous pressure gradient. Although venous ammonia is linked with several key disease-driving mechanisms, its prognostic value is not explained by associated hepatic dysfunction, systemic inflammation, or portal hypertension severity, suggesting direct toxicity. Impact and implications A recent landmark study linked ammonia levels (a simple blood test) with hospitalisation/death in individuals with clinically stable cirrhosis. Our study extends the prognostic value of venous ammonia to other important liver-related complications. Although venous ammonia is linked with several key disease-driving mechanisms, they do not fully explain its prognostic value. This supports the concept of direct ammonia toxicity and ammonia-lowering drugs as disease-modifying treatment.
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Key Words
- ACLD, advanced chronic liver disease
- ACLF, acute-on-chronic liver failure
- ARLD, alcohol-related liver disease
- AUROC, area under the receiver operating characteristic curve
- Acute-on-chronic liver failure
- BAs, Bile acids
- CRP, C-reactive protein
- CTP, Child–Turcotte–Pugh score
- Cirrhosis
- Death
- Decompensation
- ELF®-test, enhanced liver fibrosis-test
- HE, hepatic encephalopathy
- HSC, hepatic stellate cell
- HVPG, hepatic venous pressure gradient
- Hepatic encephalopathy
- MAFLD, metabolic-associated fatty liver disease
- MAP, mean arterial pressure
- NAFLD, non-alcoholic fatty liver disease
- NH3-ULN, ammonia-adjusted for the upper limit of normal
- PCT, procalcitonin
- SHR, subdistribution hazard ratio
- UNOS MELD (2016), United Network for Organ Sharing model for end-stage liver disease (2016)
- aHR, adjusted hazard ratio
- vWF, von Willebrand factor
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Affiliation(s)
- Lorenz Balcar
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria.,Vienna Hepatic Hemodynamic Lab, Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Julia Krawanja
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria.,Vienna Hepatic Hemodynamic Lab, Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Bernhard Scheiner
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria.,Vienna Hepatic Hemodynamic Lab, Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Rafael Paternostro
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria.,Vienna Hepatic Hemodynamic Lab, Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Benedikt Simbrunner
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria.,Vienna Hepatic Hemodynamic Lab, Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Georg Semmler
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria.,Vienna Hepatic Hemodynamic Lab, Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Mathias Jachs
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria.,Vienna Hepatic Hemodynamic Lab, Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Lukas Hartl
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria.,Vienna Hepatic Hemodynamic Lab, Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Albert Friedrich Stättermayer
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria.,Vienna Hepatic Hemodynamic Lab, Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Philipp Schwabl
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria.,Vienna Hepatic Hemodynamic Lab, Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Matthias Pinter
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Thomas Szekeres
- Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria
| | - Michael Trauner
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Thomas Reiberger
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria.,Vienna Hepatic Hemodynamic Lab, Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Mattias Mandorfer
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria.,Vienna Hepatic Hemodynamic Lab, Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
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Liu L, Li H, Zhang Y, Zhang J, Cao Z. Hepatitis B virus infection combined with nonalcoholic fatty liver disease: Interaction and prognosis. Heliyon 2023; 9:e13113. [PMID: 36747946 DOI: 10.1016/j.heliyon.2023.e13113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 01/07/2023] [Accepted: 01/18/2023] [Indexed: 01/22/2023] Open
Abstract
Hepatitis B virus (HBV) infection is still one kind of the infectious diseases that seriously threaten human health. Nonalcoholic fatty liver disease (NAFLD) has become the most common chronic liver disease worldwide. HBV infection complicated with NAFLD is increasingly common. This review mainly describes the interaction between HBV infection and NAFLD, the interaction between steatosis and antiviral drugs, and the prognosis of HBV infection complicated with NAFLD. Most studies suggest that HBV infection may reduce the incidence of NAFLD. NAFLD can promote the spontaneous clearance of hepatitis B surface antigen (HBsAg), but whether it affects antiviral efficacy has been reported inconsistently. HBV infection combined with NAFLD can promote the progression of liver fibrosis, especially in patients with severe steatosis. The outcome of HBV infection combined with NAFLD predisposing to the progression of HCC remains controversial.
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Key Words
- AVT, antiviral therapy
- Antiviral efficacy
- BMI, body mass index
- CHB, chronic hepatitis B
- CI, confidence interval
- ETV, entecavir
- HBV infection
- HBV, hepatitis B virus
- HBeAg, hepatitis B e antigen
- HBsAg, hepatitis B surface antigen
- HCC, hepatocellular carcinoma
- HDL, high-density lipoprotein
- HDL-C, high-density lipoprotein-cholesterol
- HR, hazard ratio
- HS, hepatis steatosis
- Hepatocellular carcinoma
- LDL-C, low-density lipoprotein cholesterol
- Liver fibrosis
- NA, nucleos(t)ide analogue
- NAFLD, nonalcoholic fatty liver disease
- NASH, nonalcoholic steatohepatitis
- NR, not reported
- Nonalcoholic fatty liver disease
- OR, odds ratio
- PEG-IFN, pegylated interferon
- TAF, tenofovir alafenamide
- TDF, tenofovir
- TLR4, Toll-Like Receptor 4
- aHR, adjusted hazard ratio
- non-HDL-C, non-high-density lipoprotein-cholesterol
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Sun M, Chen WM, Wu SY, Zhang J. Dementia risk after major elective surgery based on the route of anaesthesia: A propensity score-matched population-based cohort study. EClinicalMedicine 2023; 55:101727. [PMID: 36386032 PMCID: PMC9641180 DOI: 10.1016/j.eclinm.2022.101727] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 10/12/2022] [Accepted: 10/17/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Whether the route of anaesthesia is an independent risk factor for dementia remains unclear. Therefore, we conducted a propensity score-matched (PSM) population-based cohort study to compare dementia incidence among surgical patients undergoing different routes of anaesthesia. METHODS The inclusion criteria were being an inpatient >20 years of age who underwent major elective surgery, defined as those requiring GA without or with inhalation anaesthetics or regional anaesthesia, and being hospitalised for >1 day between Jan 1, 2008 and Dec 31, 2019 in Taiwan. Patients undergoing major elective surgery were categorised into three groups according to the type of anaesthesia administered: noninhalation anaesthesia, inhalation anaesthesia, and regional anaesthesia, matched at a 1:1 ratio. The incidence rate (IR) of dementia was determined. FINDINGS PSM yielded 63,750 patients (21,250 in the noninhalation anaesthesia group, 21,250 in the inhalation anaesthesia group, and 21,250 in the regional anaesthesia group). In the multivariate Cox regression analysis, the adjusted hazard ratios (aHRs; 95% confidence intervals) of dementia for the inhalation and noninhalation anaesthesia groups compared with the regional anaesthesia group were 20.16 (15.40-26.35; p < 0.001) and 18.33 (14.03-24.04; p < 0.001), respectively. The aHR of dementia for inhalation anaesthesia compared with noninhalation anaesthesia was 1.13 (1.03-1.22; p = 0.028). The IRs of dementia for the inhalation, noninhalation, and regional anaesthesia groups were 3647.90, 3492.00, and 272.99 per 100,000 person-years, respectively. INTERPRETATION In this population based cohort study, the incidence of dementia among surgical patients undergoing general anaesthesia was higher than among those undergoing regional anaesthesia. Among patients undergoing general anaesthesia, inhalation anaesthesia was associated with a higher risk of dementia than noninhalation anaesthesia. Our results should be confirmed in a randomised controlled trial. FUNDING The study was partially supported by Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital (Funding Number: 10908, 10909, 11001, 11002, 11003, 11006, and 11013).
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Key Words
- AD, Alzheimer disease
- ASA, American Society of Anesthesiology
- Anaesthesia
- CI, confidence interval
- Dementia
- GA, General anaesthesia
- General anaesthesia
- HR, hazard ratio
- ICD-9-CM, International Classification of Diseases, Ninth Revision, Clinical Modification
- IPTW, inverse probability of treatment weighting
- IQR, interquartile range
- IRRs, incidence rate ratios
- IRs, incidence rates
- Incidence rate
- NHIRD, National Health Insurance Research Database
- PSM, propensity score matching
- RCT, randomised controlled trial
- Regional anaesthesia
- SD, standard deviation
- SMD, standardized mean difference
- aHR, adjusted hazard ratio
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Affiliation(s)
- Mingyang Sun
- Department of Anesthesiology and Perioperative Medicine, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, Henan, China
| | - Wan-Ming Chen
- Graduate Institute of Business Administration, College of Management, Fu Jen Catholic University, Taipei, Taiwan
- Artificial Intelligence Development Centre, Fu Jen Catholic University, Taipei, Taiwan
| | - Szu-Yuan Wu
- Graduate Institute of Business Administration, College of Management, Fu Jen Catholic University, Taipei, Taiwan
- Artificial Intelligence Development Centre, Fu Jen Catholic University, Taipei, Taiwan
- Centre for Regional Anaesthesia and Pain Medicine, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
- Department of Food Nutrition and Health Biotechnology, College of Medical and Health Science, Asia University, Taichung, Taiwan
- Big Data Centre, Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, Yilan, Taiwan
- Division of Radiation Oncology, Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, Yilan, Taiwan
- Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung, Taiwan
- Corresponding author. Associate Professor, College of Medical and Health Science, Asia University, Taichung, Taiwan; Director, Big Data Centre, Lo-Hsu Medical Foundation, LotungPoh-Ai Hospital, Yilan, Taiwan; Attending Physician, Division of Radiation Oncology, Department of Medicine, Lo-Hsu Medical Foundation, LotungPoh-Ai Hospital, Yilan, Taiwan; Department of Anesthesiology and Perioperative Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, Henan, China, No. 83, Nanchang St., Luodong Township, Yilan County 265, Taiwan.
| | - Jiaqiang Zhang
- Department of Anesthesiology and Perioperative Medicine, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, Henan, China
- Corresponding author. Department of Anesthesiology and Perioperative Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, No. 7, Weiwu Road, Jinshui County, Zhengzhou, Henan, 450003, China.
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Ruck JM, Zhou AL, Zeiser LB, Alejo D, Durand CM, Massie AB, Segev DL, Bush EL, Kilic A. Trends and three-year outcomes of hepatitis C virus-viremic donor heart transplant for hepatitis C virus-seronegative recipients. JTCVS Open 2022; 12:269-279. [PMID: 36590744 PMCID: PMC9801334 DOI: 10.1016/j.xjon.2022.10.007] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 10/17/2022] [Accepted: 10/24/2022] [Indexed: 11/06/2022]
Abstract
Objective Heart transplants (HTs) from hepatitis C virus (HCV)-viremic donors to HCV-seronegative recipients (HCV D+/R-) have good 6-month outcomes, but practice uptake and long-term outcomes overall and among candidates on mechanical circulatory support (MCS) have yet to be established. Methods Using the Scientific Registry of Transplant Recipients, we identified US adult HCV-seronegative HT recipients (R-) from 2015 to 2021. We classified donors as HCV-seronegative (D-) or HCV-viremic (D+). We used multivariable regression to compare post-HT extracorporeal membranous oxygenation, dialysis, pacemaker, acute rejection, and risk of post-HT mortality between HCV D+/R- and HCV D-/R-. Models were adjusted for donor, recipient, and transplant characteristics and center HT volume. We performed subgroup analyses of recipients bridged with MCS. Results From 2015 to 2021, the number of HCV D+/R- HT increased from 1 to 181 and the number of centers performing HCV D+/R- HT increased from 1 to 60. Compared with HCV D-/R- recipients, HCV D+/R- versus D-/R- recipients overall and among patients bridged with MCS had similar odds of post-HT extracorporeal membranous oxygenation, dialysis, pacemaker, and acute rejection; and mortality risk at 30 days, 1 year, and 3 years (all P > .05). High center HT volume but not HCV D+/R- volume (<5 vs >5 in any year) was associated with lower mortality for HCV D+/R- HT. Conclusions HCV D+/R- and D-/R- HT have similar outcomes at 3 years' posttransplant. These results underscore the opportunity provided by HCV D+/R- HT, including among the growing population bridged with MCS, and the potential benefit of further expanding use of HCV+ allografts.
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Key Words
- D+, HCV-viremic donor
- DAAs, direct-acting antivirals
- DCD, donation after circulatory death
- D–, HCV-seronegative donor
- ECMO, extracorporeal membranous oxygenation
- HCV, hepatitis C virus
- HT, heart transplant
- IABP, intra-aortic balloon pump
- IQR, interquartile range
- LVAD, left ventricular assist device
- MCS, mechanical circulatory support
- R–, HCV-seronegative recipient
- SRTR, Scientific Registry of Transplant Recipients
- aHR, adjusted hazard ratio
- aOR, adjusted odds ratio
- donor pool
- heart transplant
- hepatitis C
- outcomes
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Affiliation(s)
- Jessica M. Ruck
- Division of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Md
| | - Alice L. Zhou
- Division of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Md
| | - Laura B. Zeiser
- Division of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Md
| | - Diane Alejo
- Division of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Md
| | - Christine M. Durand
- Division of Infection Disease, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Md
| | - Allan B. Massie
- Division of Transplant Surgery, Department of Surgery, NYU Langone Health, New York, NY
| | - Dorry L. Segev
- Division of Transplant Surgery, Department of Surgery, NYU Langone Health, New York, NY,Scientific Registry of Transplant Recipients, Minneapolis, Minn
| | - Errol L. Bush
- Division of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Md
| | - Ahmet Kilic
- Division of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Md,Address for reprints: Ahmet Kilic, MD, Department of Surgery, Johns Hopkins Medical Institutions, Sheikh Zayed Tower, Suite 7107, 1800 Orleans St, Baltimore, MD 21287.
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Armbrust KR, Kopplin LJ. Characteristics and Outcomes of Patients with Scleritis in the IRIS® Registry (Intelligent Research in Sight) Database. Ophthalmol Sci 2022; 2:100178. [PMID: 36245751 PMCID: PMC9559886 DOI: 10.1016/j.xops.2022.100178] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 05/22/2022] [Accepted: 05/31/2022] [Indexed: 06/16/2023]
Abstract
PURPOSE To report patient characteristics and factors associated with poor visual acuity and abnormal intraocular pressure (IOP) in patients with scleritis in the American Academy of Ophthalmology's IRIS® Registry (Intelligent Research in Sight). DESIGN Retrospective cohort study. PARTICIPANTS Patients in the IRIS Registry with at least 3 office visits associated with an International Classification of Diseases scleritis code from 2013 through 2019. METHODS We evaluated demographic and clinical characteristics in scleritis and scleritis subtype cohorts. We conducted Cox proportional hazards and multiple logistic regression analyses to assess associations with poor best-corrected visual acuity (BCVA), vision loss, and IOP abnormalities. MAIN OUTCOME MEASURES Patient characteristics, BCVA of 0.6 logarithm of the minimum angle of resolution (logMAR) or more, BCVA worsened by more than 3 logMAR units 6 months after presentation, IOP of 30 mmHg or more, and IOP of 5 mmHg or less. RESULTS In this cohort of 111 314 patients with scleritis, the mean ± standard deviation age was 58.5 ± 16.6 years, 66% were women, and 30% had bilateral scleritis. Patients with scleromalacia perforans were older and more likely to have bilateral disease. Multiple logistic regression analysis identified factors with increased odds for poor presenting BCVA (older age, male sex, Black race, Hispanic ethnicity, smoking, and scleritis subtypes) and at least 3 lines of vision loss 6 months after initial scleritis diagnosis (older age, smoking, and anterior scleritis). Cox proportional hazards regression modeling of BCVA of 0.6 logMAR or more showed older age (adjusted hazard ratio [aHR] per 10-year unit, 1.11), Black race (aHR, 1.19), Hispanic ethnicity (aHR, 1.22), active smoking (aHR, 1.39), former smoking (aHR, 1.26), and certain scleritis subtypes increase the risk of poor visual acuity development (P < 0.001 for all). Older age, male sex, Black race, Hispanic ethnicity, smoking, and scleritis subtypes increased the odds of IOP abnormality. CONCLUSIONS Older age, Black or Hispanic ancestry, smoking, and specific scleritis subtypes are risk factors for worse visual and IOP outcomes in patients with scleritis in the IRIS Registry. Closer follow-up may be appropriate for older, Black, or Hispanic patients with scleritis; smokers should receive smoking cessation assistance.
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Key Words
- BCVA, best-corrected visual acuity
- CI, confidence interval
- Database
- ICD, International Classification of Diseases
- ICD-10, International Classification of Diseases, Tenth Revision
- ICD-9, International Classification of Diseases, Ninth Revision
- IOP, intraocular pressure
- IRIS Registry
- IRIS, Intelligent Research in Sight
- Intraocular pressure
- OR, odds ratio
- SD, standard deviation
- Scleritis
- Visual acuity
- aHR, adjusted hazard ratio
- logMAR, logarithm of the minimum angle of resolution
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Affiliation(s)
- Karen R. Armbrust
- Department of Ophthalmology and Visual Neurosciences, University of Minnesota, Minneapolis, Minnesota
| | - Laura J. Kopplin
- Department of Ophthalmology and Visual Sciences, University of Wisconsin—Madison, Madison, Wisconsin
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Mefford MT, Silverberg MJ, Leong TK, Hechter RC, Towner WJ, Go AS, Horberg M, Hu H, Harrison TN, Sung SH, Reynolds K. Multimorbidity Burden and Incident Heart Failure Among People With and Without HIV: The HIV-HEART Study. Mayo Clin Proc Innov Qual Outcomes 2022; 6:218-227. [PMID: 35539894 PMCID: PMC9079699 DOI: 10.1016/j.mayocpiqo.2022.03.004] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Objective To examine the association between multimorbidity burden and incident heart failure (HF) among people with HIV (PWH) and people without HIV (PWoH). Patients and Methods The HIV-HEART study is a retrospective cohort study that included adult PWH and PWoH aged 21 years or older at Kaiser Permanente between 2000 and 2016. Multimorbidity burden was defined by the baseline prevalence of 22 chronic conditions and was categorized as 0-1, 2-3, and 4 or more comorbidities on the basis of distribution of the overall population. People with HIV and PWoH were followed for a first HF event, all-cause death, or up to the end of follow-up on December 31, 2016. Using Cox proportional hazard regression, hazard ratios and 95% CIs were calculated to examine the association between multimorbidity burden and incident HF among PWH and PWoH, separately. Results The prevalences of 0-1, 2-3, and 4 or more comorbidities were 83.3%, 13.0%, and 3.7% in PWH (n=38,868), and 82.2%, 14.3%, and 3.5% in PWoH (n=386,586), respectively. After multivariable adjustment, compared with people with 0-1 comorbidities, the hazard ratios of incident HF associated with 2-3 and 4 or more comorbidities were 1.33 (95% CI, 1.04-1.71) and 2.41 (95% CI, 1.78-3.25) in PWH and 2.10 (95% CI, 1.92-2.29) and 4.09 (95% CI, 3.64-4.61) in PWoH, respectively. Conclusion Multimorbidity was associated with a higher risk of incident HF among PWH and PWoH, with more prominent associations in PWoH and certain patient subgroups. The identification of specific multimorbidity patterns that contribute to higher HF risk in PWH may lead to future preventative strategies.
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Affiliation(s)
- Matthew T Mefford
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA
| | - Michael J Silverberg
- Division of Research, Kaiser Permanente Northern California, Oakland, CA.,Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA.,Departments of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA
| | - Thomas K Leong
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
| | - Rulin C Hechter
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA.,Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA.,Department of Epidemiology, University of California Los Angeles, Los Angeles, CA
| | - William J Towner
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA.,Department of Clinical Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA.,Department of Infectious Disease, Kaiser Permanente Los Angeles Medical Center, Los Angeles, CA
| | - Alan S Go
- Division of Research, Kaiser Permanente Northern California, Oakland, CA.,Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA.,Departments of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA.,Department of Medicine, University of California, San Francisco, CA.,Department of Medicine, Stanford University, Palo Alto, CA
| | - Michael Horberg
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA.,Mid-Atlantic Permanente Research Institute, Kaiser Permanente Mid-Atlantic States, Rockville, MD
| | - Haihong Hu
- Mid-Atlantic Permanente Research Institute, Kaiser Permanente Mid-Atlantic States, Rockville, MD
| | - Teresa N Harrison
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA
| | - Sue Hee Sung
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
| | - Kristi Reynolds
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA.,Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA
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Malik S, Kaushik C, Heidelman E, Polychronopoulou E, Kuo YF, Sharma G, Nishi SPE. Characteristics and Factors Associated With Mortality in Patients With Coronavirus Disease 2019 and Pneumothorax. Mayo Clin Proc Innov Qual Outcomes 2022; 6:257-68. [PMID: 35495868 DOI: 10.1016/j.mayocpiqo.2022.04.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Objective To describe the incidence, clinical characteristics, and factors associated with mortality in patients hospitalized for coronavirus disease 2019 (COVID-19) in whom pneumothorax developed. Patients and Methods This study was a retrospective analysis conducted using a large administrative database of adult patients hospitalized for COVID-19 in the United States from February 1, 2020, to June 10, 2021. We characterized the clinical features of patients in whom pneumothorax developed and the factors associated with mortality and stratified pneumothorax by the timing of the initiation of invasive mechanical ventilation (IMV) and by the time of hospital admission (early versus late). Results A total of 811,065 adult patients had a positive test result for severe acute respiratory syndrome coronavirus 2, of whom 103,858 (12.8%) were hospitalized. Pneumothorax occurred in 1915 patients (0.24% overall and 1.84% among hospitalized patients). Over time, the use of steroids and remdesivir increased, whereas the use of IMV, pneumothorax rates, and mortality decreased. The clinical characteristics associated with pneumothorax were male sex; the receipt of IMV; and treatment with steroids, remdesivir, or convalescent plasma. Most patients with pneumothorax received IMV, but pneumothorax developed before the initiation of IMV and/or early during hospitalization in majority. Multivariable analysis revealed that pneumothorax increased the risk of death (adjusted hazard ratio [aHR], 1.15; 95% CI, 1.06-1.24). In patients who did not receive IMV, pneumothorax led to nearly twice the mortality (aHR, 1.99; 95% CI, 1.56-2.54). Increased mortality was also noted when pneumothorax occurred before IMV (aHR, 1.37; 95% CI, 1.11-1.69) and within 7 days of hospital admission (aHR, 1.60; 95% CI, 1.29-1.98). Conclusion The overall incidence of pneumothorax in patients hospitalized for COVID-19 was low. Pneumothorax is an independent risk factor for death.
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8
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Mao D, Lau ESH, Wu H, Yang A, Shi M, Fan B, Tam CHT, Chow E, Kong APS, Ma RCW, Luk A, Chan JCN. Risk associations of long-term HbA1c variability and obesity on cancer events and cancer-specific death in 15,286 patients with diabetes - A prospective cohort study. Lancet Reg Health West Pac 2022; 18:100315. [PMID: 35024653 PMCID: PMC8669375 DOI: 10.1016/j.lanwpc.2021.100315] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 10/05/2021] [Accepted: 10/11/2021] [Indexed: 02/07/2023]
Abstract
Background Obesity, cancer and diabetes frequently coexist. The association of glycaemic variability (GV) and obesity with cancer events had not been explored in diabetes. Methods In the prospective Hong Kong Diabetes Register cohort (1995-2019), we used cox proportional hazards models to examine the risk associations of GV with all-site cancer (primary outcome) and cause-specific death (secondary outcome). We also explored the joint association of obesity and GV with these outcomes and site-specific cancer. We expressed GV using HbA1c variability score (HVS) defined as percentage of HbA1c values varying by 0.5% compared with values in preceding visit. Findings We included 15,286 patients (type 2 diabetes: n=15,054, type 1 diabetes: n=232) with ≥10 years of diabetes and ≥3 years of observation (51.7% men, age (mean±SD): 61.04±10.73 years, HbA1c: 7.54±1.63%, body mass index [BMI]: 25.65±3.92 kg/m2, all-site cancer events: n=928, cancer death events: n=404). There were non-linear relationships between HVS and outcomes but there was linearity within the high and low HVS groups stratified by the median (IQR) value of HVS (42.31 [27.27, 56.28]). In the high HVS group, the adjusted hazard ratios (aHR) of each SD of HVS was 1.15 (95% CI: 1.04, 1.26) for all-site cancer (n=874). The respective aHRs for breast (n=77), liver (n=117) and colorectal (n=184) cancer were 1.44 (1.07, 1.94), 1.37 (1.08, 1.74), and 1.09 (0.90, 1.32). In the high GV group, the respective aHRs were 1.21 (1.06, 1.39), 1.27 (1.15, 1.40), and 1.15 (1.09, 1.22) for cancer, vascular, and noncancer nonvascular death. When stratified by obesity (BMI ≥25 kg/m2), the high HVS & obese group had the highest aHRs of 1.42 (1.16, 1.73), 2.44 (1.24, 4.82), and 2.63 (1.45, 4.74) respectively for all-site, breast, and liver cancer versus the low GV & non-obese group. The respective aHRs were 1.45 (1.07, 1.96), 1.47 (1.12, 1.93), and 1.35 (1.16, 1.57) for cancer, vascular, and noncancer nonvascular death. Interpretation Obesity and high GV were associated with increased risk of all-site, breast, liver cancer, and cancer-specific death in T2D. Funding The Chinese University of Hong Kong Diabetes Research Fund
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Key Words
- ALT, alanine aminotransferase
- BMI, body mass index
- BP, blood pressure
- CI, confidence interval
- CVD, cardiovascular disease
- EMR, electronic medical record
- GV, glycaemic variability
- HA, Hospital Authority
- HDLC, high-density lipoprotein cholesterol
- HKDR, Hong Kong Diabetes Register
- HR, hazard ratio
- HVS, HbA1c variability score
- IQR, inter‐quartile range
- LDLC, low-density lipoprotein cholesterol
- LLD, lipid lowering drug
- MD, median
- Mn, mean
- OGLDs, oral glucose lowering drugs
- RAS, renin angiotensin system
- SD, standard deviation
- SDIM, SD independent of mean
- T2D, type 2 diabetes
- TC, total cholesterol
- TG, triglyceride
- aHR, adjusted hazard ratio
- cancer and all cause death
- diabetes
- glycaemic variability
- obesity
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Affiliation(s)
- Dandan Mao
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR China
| | - Eric S H Lau
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR China
| | - Hongjiang Wu
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR China
| | - Aimin Yang
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR China.,Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong
| | - Mai Shi
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR China
| | - Baoqi Fan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR China
| | - Claudia H T Tam
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR China
| | - Elaine Chow
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR China.,Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong.,Phase 1 Clinical Trial Centre, The Chinese University of Hong Kong
| | - Alice P S Kong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR China.,Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
| | - Ronald C W Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR China.,Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
| | - Andrea Luk
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR China.,Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong.,Phase 1 Clinical Trial Centre, The Chinese University of Hong Kong.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR China.,Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong.,Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
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Dousset L, Pacaud A, Barnetche T, Kostine M, Dutriaux C, Pham-Ledard A, Beylot-Barry M, Gérard E, Prey S, Andreu N, Boniface K, Seneschal J. Analysis of tumor response and clinical factors associated with vitiligo in patients receiving anti-programmed cell death-1 therapies for melanoma: A cross-sectional study. JAAD Int 2021; 5:112-120. [PMID: 34712997 PMCID: PMC8529074 DOI: 10.1016/j.jdin.2021.09.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/10/2021] [Indexed: 12/18/2022] Open
Abstract
Background Clinical factors associated with vitiligo in patients receiving anti–programmed cell death-1 (PD-1) remain unknown. Objective To better characterize the occurrence of vitiligo in patients receiving anti–PD-1. Methods The present single-center ambispective cohort study included patients with melanoma treated with anti–PD-1. Progression-free survival, overall survival, and objective tumor response were compared between patients with and those without vitiligo using Kaplan-Meier curves and the log-rank test. Demographic and clinical factors associated with vitiligo were evaluated using multivariate logistic regression. Results Of the 457 patients included in the study, vitiligo developed in 85 patients. The clinical presentation of vitiligo consisted of the presence of ovalar and multiple flecked white macules, mainly located on chronic sun-exposed areas. The presence of vitiligo was associated with a significant improvement in overall survival and progression-free survival (P < .001). A Cox proportional hazards model estimation demonstrated markedly improved survival in patients with vitiligo compared with those without vitiligo (aHR [overall survival], 0.20; 95% CI, 0.12-0.33; P < .001; and aHR [progression-free survival], 0.33; 95% CI, 0.23-0.47; P < .001). In the multivariate logistic regression analyses, men showed an independent increased risk of the development of vitiligo (odds ratio, 1.66). In contrast, the presence of pulmonary metastases was found to be an independent factor associated with a reduced risk of the development of vitiligo (odds ratio, 0.50). Limitations Single-center ambispective cohort. Conclusion Vitiligo in patients receiving anti–PD-1 for advanced melanoma is associated with a better outcome. A gender effect associated with the development of vitiligo will need further investigation.
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Affiliation(s)
- Léa Dousset
- Department of Dermatology, National Centre for Rare Skin Disorders, University Hospital of Bordeaux, Bordeaux, France
| | - Alize Pacaud
- Department of Dermatology, National Centre for Rare Skin Disorders, University Hospital of Bordeaux, Bordeaux, France
| | - Thomas Barnetche
- Department of Rheumatology, National Reference Center for Severe Systemic Autoimmune Diseases, FHU ACRONIM, Pellegrin Hospital, University Hospital of Bordeaux, Bordeaux, France
| | - Marie Kostine
- Department of Rheumatology, National Reference Center for Severe Systemic Autoimmune Diseases, FHU ACRONIM, Pellegrin Hospital, University Hospital of Bordeaux, Bordeaux, France
| | - Caroline Dutriaux
- Department of Dermatology, National Centre for Rare Skin Disorders, University Hospital of Bordeaux, Bordeaux, France.,U1035 INSERM, Biotherapy of Genetic Diseases, Inflammatory Disorders and Cancers, Bordeaux University, Bordeaux, France
| | - Anne Pham-Ledard
- Department of Dermatology, National Centre for Rare Skin Disorders, University Hospital of Bordeaux, Bordeaux, France
| | - Marie Beylot-Barry
- Department of Dermatology, National Centre for Rare Skin Disorders, University Hospital of Bordeaux, Bordeaux, France
| | - Emilie Gérard
- Department of Dermatology, National Centre for Rare Skin Disorders, University Hospital of Bordeaux, Bordeaux, France
| | - Sorilla Prey
- Department of Dermatology, National Centre for Rare Skin Disorders, University Hospital of Bordeaux, Bordeaux, France.,U1035 INSERM, Biotherapy of Genetic Diseases, Inflammatory Disorders and Cancers, Bordeaux University, Bordeaux, France
| | - Nicolas Andreu
- Department of Dermatology, National Centre for Rare Skin Disorders, University Hospital of Bordeaux, Bordeaux, France
| | - Katia Boniface
- U1035 INSERM, Biotherapy of Genetic Diseases, Inflammatory Disorders and Cancers, Bordeaux University, Bordeaux, France
| | - Julien Seneschal
- Department of Dermatology, National Centre for Rare Skin Disorders, University Hospital of Bordeaux, Bordeaux, France.,U1035 INSERM, Biotherapy of Genetic Diseases, Inflammatory Disorders and Cancers, Bordeaux University, Bordeaux, France
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10
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Mitchell JD, Cehic DA, Morgia M, Bergom C, Toohey J, Guerrero PA, Ferencik M, Kikuchi R, Carver JR, Zaha VG, Alvarez-Cardona JA, Szmit S, Daniele AJ, Lopez-Mattei J, Zhang L, Herrmann J, Nohria A, Lenihan DJ, Dent SF. Cardiovascular Manifestations From Therapeutic Radiation: A Multidisciplinary Expert Consensus Statement From the International Cardio-Oncology Society. JACC CardioOncol 2021; 3:360-380. [PMID: 34604797 PMCID: PMC8463721 DOI: 10.1016/j.jaccao.2021.06.003] [Citation(s) in RCA: 58] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 06/09/2021] [Accepted: 06/14/2021] [Indexed: 01/09/2023]
Abstract
Radiation therapy is a cornerstone of cancer therapy, with >50% of patients undergoing therapeutic radiation. As a result of widespread use and improved survival, there is increasing focus on the potential long-term effects of ionizing radiation, especially cardiovascular toxicity. Radiation therapy can lead to atherosclerosis of the vasculature as well as valvular, myocardial, and pericardial dysfunction. We present a consensus statement from the International Cardio-Oncology Society based on general principles of radiotherapy delivery and cardiovascular risk assessment and risk mitigation in this population. Anatomical-based recommendations for cardiovascular management and follow-up are provided, and a priority is given to the early detection of atherosclerotic vascular disease on imaging to help guide preventive therapy. Unique management considerations in radiation-induced cardiovascular disease are also discussed. Recommendations are based on the most current literature and represent a unanimous consensus by the multidisciplinary expert panel. Radiation therapy leads to short- and long-term cardiovascular adverse effects of the vasculature and the heart, including valvular, myocardial, and pericardial disease. Computed tomography scans conducted for radiation planning or cancer staging provide an available opportunity to detect asymptomatic atherosclerosis and direct preventive therapies. Additional practical screening recommendations for cardiovascular disease based on anatomical exposure are provided. There are unique considerations in the management of radiation-induced cardiovascular disease; contemporary percutaneous treatment is often preferred over surgical options.
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Key Words
- CABG, coronary artery bypass graft
- CAC, coronary artery calcium
- CAD, coronary artery disease
- CI, confidence interval
- CT, computed tomography
- CTCA, computed tomography coronary angiography
- CV, cardiovascular
- DIBH, deep inspiratory breath hold
- HF, heart failure
- HL, Hodgkin lymphoma
- HNC, head and neck cancer
- HR, hazard ratio
- LIMA, left internal mammary artery
- MRI, magnetic resonance imaging
- NT-proBNP, N-terminal pro–B-type natriuretic peptide
- OR, odds ratio
- PAD, peripheral arterial disease
- RT, radiation therapy
- SAVR, surgical aortic valve replacement
- SVC, superior vena cava
- TAVR, transcatheter aortic valve replacement
- TTE, transthoracic echocardiogram
- aHR, adjusted hazard ratio
- cancer
- cardiovascular disease
- imaging
- prevention
- radiation therapy
- screening
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Affiliation(s)
- Joshua D. Mitchell
- Cardio-Oncology Center of Excellence, Washington University in St. Louis, St. Louis, Missouri, USA
- Address for correspondence: Dr Joshua D. Mitchell, Cardio-Oncology Center of Excellence, Washington University in St Louis, 660 South Euclid Avenue, Campus Box 8086, St. Louis, Missouri 63110-1093, USA. @joshmitchellmd@Dr_Daniel_Cehic@carmenbergom@ICOSociety
| | | | - Marita Morgia
- Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Carmen Bergom
- Cardio-Oncology Center of Excellence, Washington University in St. Louis, St. Louis, Missouri, USA
- Department of Radiation Oncology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Joanne Toohey
- Department of Radiation Oncology, GenesisCare, St. Vincent's Hospital, Sydney, New South Wales, Australia
| | | | - Maros Ferencik
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon, USA
| | - Robin Kikuchi
- Division of Medical Oncology, Duke Cancer Institute, Duke University, Durham, North Carolina, USA
| | - Joseph R. Carver
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Vlad G. Zaha
- Cardiology Division, Department of Internal Medicine, Harold C. Simmons Comprehensive Cancer Center, Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Parkland Health and Hospital System, Dallas, Texas, USA
| | - Jose A. Alvarez-Cardona
- Cardio-Oncology Center of Excellence, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Sebastian Szmit
- Department of Pulmonary Circulation, Thromboembolic Diseases and Cardiology, Centre of Postgraduate Medical Education, European Health Centre, Otwock, Poland
| | | | - Juan Lopez-Mattei
- Departments of Cardiology and Thoracic Imaging, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Lili Zhang
- Cardio-Oncology Program, Division of Cardiology, Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Jörg Herrmann
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota, USA
| | - Anju Nohria
- Cardio-Oncology Program, Dana Farber Cancer Institute/Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Daniel J. Lenihan
- Cardio-Oncology Center of Excellence, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Susan F. Dent
- Division of Medical Oncology, Duke Cancer Institute, Duke University, Durham, North Carolina, USA
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11
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Daures M, Phelan K, Issoufou M, Sawadogo O, Akpakpo B, Kinda M, Shepherd S, Becquet R. Incidence of relapse following a new approach to simplifying and optimising acute malnutrition treatment in children aged 6-59 months: a prospective cohort in rural Northern Burkina Faso. J Nutr Sci 2021; 10:e27. [PMID: 33996040 DOI: 10.1017/jns.2021.18] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 03/18/2021] [Indexed: 01/22/2023] Open
Abstract
The present study aimed to determine the 3-month incidence of relapse and associated factors among children who recovered under the Optimising treatment for acute MAlnutrition (OptiMA) strategy, a MUAC-based protocol. A prospective cohort of children successfully treated for acute malnutrition was monitored between April 2017 and February 2018. Children were seen at home by community health workers (CHWs) every 2 weeks for 3 months. Relapse was defined as a child who had met OptiMA recovery criteria (MUAC ≥ 125 mm for two consecutive weeks) but subsequently had a MUAC < 125 mm at any home visit. Cumulative incidence and incidence rates per 100 child-months were estimated. Multivariable survival analysis was conducted using a shared frailty model with a random effect on health facilities to identify associated factors. Of the 640 children included, the overall 3-month cumulative incidence of relapse was 6⋅8 % (95 % CI 5⋅2, 8⋅8). Globally, the incidence rate of relapse was 2⋅5 (95 % CI 1⋅9, 3⋅3) per 100 child-months and 3⋅7 (95 % CI 1⋅9, 6⋅8) per 100 child-months among children admitted with a MUAC < 115 mm. Most (88⋅6 %) relapses were detected early when MUAC was between 120 and 124 mm. Relapse was positively associated with hospitalisation, with an adjusted hazard ratio (aHR) of 2⋅06 (95 % CI 1⋅01, 4⋅26) for children who had an inpatient stay at any point during treatment compared with children who did not. The incidence of relapse following recovery under OptiMA was relatively low in this context, but the lack of a standard relapse definition does not allow for comparison across settings Closer follow-up with caretakers whose children are admitted with MUAC < 115 mm or required hospitalisation during treatment should be considered in managing groups at high risk of relapse. Training caretakers to screen their children for relapse at home using MUAC could be more effective at detecting early relapse, and less costly, than home visits by CHWs.
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Key Words
- AM, acute malnutrition
- Acute malnutrition
- CHWs, community health workers
- CIs, confidence intervals
- CORTASAM, Council of Research & Technical Advice on Acute Malnutrition
- Children
- HAZ, height-for-age Z-score
- IQR, interquartile range
- Incidence
- MAM, moderate acute malnutrition
- MUAC, mid-upper arm circumference
- MUAC-based and reduced doses protocol
- OptiMA, Optimising treatment for acute MAlnutrition
- RDT, rapid diagnostic tests
- RUTF, ready-to-use therapeutic food
- Relapse
- SAM, severe acute malnutrition
- WHO, World Health Organization
- WHZ, weight-for-height Z-score
- West Africa
- aHR, adjusted hazard ratio
- sd, standard deviation
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12
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Nunes S, Brown J, Parikh CR, Greenberg JH, Devarajan P, Philbrook HT, Pizzi M, Palijan A, Zappitelli M. The association of acute kidney injury with hospital readmission and death after pediatric cardiac surgery. JTCVS Open 2020; 4:70-85. [PMID: 36004303 PMCID: PMC9390193 DOI: 10.1016/j.xjon.2020.07.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 07/08/2020] [Accepted: 07/20/2020] [Indexed: 11/17/2022]
Abstract
Background Acute kidney injury (AKI) in children undergoing cardiac surgery (CS) is strongly associated with increased hospital mortality and length of stay. The association of AKI with postdischarge outcomes is unclear. We evaluated the association of AKI with all-cause readmissions and death within 30 days and 1 year of CS discharge. Methods This was a prospective, 3-center cohort study of children after CS with cardiopulmonary bypass. The primary exposures were postoperative ≥stage 1 AKI and ≥stage 2 AKI defined by Kidney Disease: Improving Global Outcomes AKI definition. Two separate outcomes were hospital readmission and death within 30 days and 1 year of discharge. Association of AKI with time to outcomes was determined using multivariable Cox-proportional hazards analysis. Age, The Society of Thoracic Surgeons-European Association for Cardio-Thoracic Surgery risk adjustment tool score ≥3, cardiopulmonary bypass >120 minutes, and cyanotic heart disease were evaluated as effect modifiers. Results Of 402 participants included (median age 1.8 years [interquartile range 0.4, 5.2]), 32 (8.0%) and 109 (27.1%) were readmitted; 7 (1.7%) and 9 (2.2%) died within 30 days and 1 year of CS, respectively. AKI was not associated with readmission at 30 days or 1 year postdischarge. ≥Stage 2 AKI (adjusted hazard ratio, 11.68 [1.88, 72.61]) was associated with mortality 30 days post-CS. Conclusions Postoperative AKI was not associated with readmission at 30 days and 1-year postdischarge. However, more severe AKI (≥stage 2) appears to be associated with increased morality risk at 30 days post-CS.
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Affiliation(s)
- Sophia Nunes
- Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Jeremiah Brown
- Departments of Epidemiology and Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH
| | - Chirag R. Parikh
- Division of Nephrology, Johns Hopkins University School of Medicine, Baltimore, Md
| | - Jason H. Greenberg
- Section of Nephrology, Department of Pediatrics, Yale University School of Medicine, New Haven, Conn
| | - Prasad Devarajan
- Nephrology and Hypertension, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | | | - Michael Pizzi
- McGill University Health Research Institute Centre, Montreal, Québec, Canada
| | - Ana Palijan
- McGill University Health Research Institute Centre, Montreal, Québec, Canada
| | - Michael Zappitelli
- Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Pediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada
- Address for reprints: Michael Zappitelli, MD, MSc, The Hospital for Sick Children, Peter Gilgan Centre for Research and Learning, 686 Bay St, 11th Floor, Room 11.9722, Toronto, Ontario, M5G 0A4 Canada.
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13
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Hui VW, Chan SL, Wong VW, Liang LY, Yip TC, Lai JC, Yuen BW, Luk HW, Tse YK, Lee HW, Chan HL, Wong GL. Increasing antiviral treatment uptake improves survival in patients with HBV-related HCC. JHEP Rep 2020; 2:100152. [PMID: 33024950 DOI: 10.1016/j.jhepr.2020.100152] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 07/13/2020] [Accepted: 07/17/2020] [Indexed: 12/27/2022] Open
Abstract
Background & Aims Antiviral treatment is known to improve survival in patients with chronic hepatitis B (CHB)-related hepatocellular carcinoma (HCC). Yet, the treatment uptake in CHB patients remains low. We aimed to report the secular trend in antiviral treatment uptake from 2007-2017, and to compare the effect of different nucleos(t)ide analogue (NA) initiation times (before vs. after HCC diagnosis) on survival. Methods A 3-month landmark analysis was used to compare overall survival in patients not receiving NA treatment (i.e. no NA), patients receiving NAs after their first HCC treatment (i.e. post-HCC NA), and patients receiving NAs ≤3 months before their first HCC treatment (i.e. pre-HCC NA). A propensity score-weighted Cox proportional hazards model was used to balance clinical characteristics between the 3 groups and to estimate hazard ratios (HRs). Results The uptake of antiviral treatment in HCC patients increased from 47.3% in 2007 to 98.3% in 2017. The pre-HCC NA group contributed mostly to the uptake rate, which increased from 72.7% to 96.0% in the past decade. In addition, 3,843 CHB patients (407 no NA; 2,932 pre-HCC NA; 504 post-HCC NA) with HCC, receiving at least 1 type of HCC treatment, were included in the analysis. Lack of NA treatment at the time of HCC diagnosis increased the risk of death (weighted HR 3.05; 95% CI 2.70-3.44; p <0.001). The impact of the timing of NA treatment was insignificant (weighted HR 0.90; 95% CI 0.78-1.04; p = 0.161). Conclusions The uptake of antiviral treatment in HCC patients increased over the past decade. NA treatment, regardless of whether it was initiated before or after HCC diagnosis, improved survival. It is never too late to initiate NA treatment, even after HCC diagnosis. Lay summary More and more patients who have hepatitis B-related liver cancer received antiviral treatment over the past decade. The timing of starting antiviral treatment, regardless of whether it was before or after liver cancer happens, does not really matter in terms of survival benefits.
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Key Words
- AFP, alpha-fetoprotein
- ALT, alanine aminotransferase
- ASMD, absolute standardised mean difference
- CDARS, Clinical Data Analysis and Reporting System
- CHB, chronic hepatitis B
- Entecavir
- GGT, gamma-glutamyl transpeptidase
- HCC, hepatocellular carcinoma
- HR, hazard ratio
- Hazard ratio
- ICD-9-CM, International Classification of Diseases, Ninth Revision, Clinical Modification
- IPTW, inverse probability of treatment weighting
- IQR, inter-quartile range
- KS, Kolmogorov-Smirnov
- Lamivudine
- Local ablative therapy
- MICE, multivariate imputation by chained equations
- NA, nucleos(t)ide analogue
- PS, propensity score
- Propensity scores
- Surgical resection
- TACE, transarterial chemoembolisation
- TDF, tenofovir disoproxil fumarate
- Transarterial chemoembolisation
- aHR, adjusted hazard ratio
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Yeh JJ, Syue SH, Lin CL, Hsu CY, Shae Z, Kao CH. Effects of statins on anxiety and depression in patients with asthma-chronic obstructive pulmonary disease overlap syndrome. J Affect Disord 2019; 253:277-284. [PMID: 31071545 DOI: 10.1016/j.jad.2019.05.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Revised: 04/01/2019] [Accepted: 05/01/2019] [Indexed: 12/13/2022]
Abstract
BACKGROUND The effects of statins on anxiety and depression in patients with asthma-chronic obstructive pulmonary disease overlap syndrome (ACOS) have not been reported. This population-based study investigated these effects. METHODS Taiwan's National Health Insurance Research Database between 2000 and 2010. We enrolled two ACOS cohorts, one of statin users (n = 1252) and one of nonstatin users matched by age, sex, and index date (n = 7887). The cumulative incidence of anxiety and depression was analyzed using time-dependent Cox proportional regression analysis. RESULTS After adjustment for multiple confounding factors, including age, sex, comorbidities, and medications-statins, inhaled corticosteroids (ICSs), and oral steroids (OSs)-the ACOS cohort with statin use had significantly lower risks of anxiety and depression (anxiety: adjusted hazard ratio [aHR] = 0.34, 95% confidence interval [CI] = 0.28-0.42; depression: aHR = 0.36, 95% CI = 0.25-0.53). The aHRs (95% CIs) for statin use with ICSs or OSs were 0.32 (0.13-0.78) and 0.37 (0.24-0.57), respectively. CONCLUSION The ACOS cohort with statin use had lower risks of anxiety and depression, regardless of age, sex, commodities, or ICSs and OSs. The incidences of anxiety and depression were relatively low among users of statins with ICSs or OSs in the ACOS cohort.
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Affiliation(s)
- Jun-Jun Yeh
- Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi, Taiwan; Chia Nan University of Pharmacy and Science, Tainan, Taiwan; China Medical University, Taichung, Taiwan; Mei-Ho University, Taiwan.
| | - Shih-Huei Syue
- Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi, Taiwan
| | - Cheng-Li Lin
- Management Office for Health Data, China Medical University Hospital, Taichung, Taiwan; College of Medicine, China Medical University, Taichung, Taiwan
| | - Chung Y Hsu
- Graduate Institute of Biomedical Sciences and School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan
| | - Zonyin Shae
- Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan
| | - Chia-Hung Kao
- Graduate Institute of Biomedical Sciences and School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan; Department of Nuclear Medicine and PET Center, China Medical University Hospital, Taichung, Taiwan; Department of Bioinformatics and Medical Engineering, Asia University, Taichung, Taiwan.
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