Alemtuzumab Induction and Steroid Minimization in IgA Nephropathy: A Matched-Cohort Analysis

AbstractIt was reported that histopathologic lesions are risk factors for the progression of IgA Nephropathy (IgAN). The aim of this study was to investigate the relationships between mesangial deposition of C1q and renal outcomes in IgAN. 1071 patients with primary IgAN diagnosed by renal biopsy were enrolled in multiple study centers form January 2013 to January 2017. Patients were divided into two groups: C1q-positive and C1q-negative. Using a 1: 4 propensity score matching (PSM) method identifying age, gender, and treatment modality to minimize confounding factors, 580 matched (out of 926) C1q-negative patients were compared with 145 C1q-positive patients to evaluate severity of baseline clinicopathological features and renal outcome. Kaplan–Meier and Cox proportional hazards analyses were performed to determine whether mesangial C1q deposition is associated with renal outcomes in IgAN. During the follow-up period (41.89 ± 22.85 months), 54 (9.31%) patients in the C1q negative group and 23 (15.86%) patients in C1q positive group reached the endpoint (50% decline of eGFR and/or ESRD or death) respectively (p = 0.01) in the matched cohort. Significantly more patients in C1q negative group achieved complete or partial remission during the follow up period (P = 0.003) both before and after PSM. Three, 5 and 7-year renal survival rates in C1q-positive patients were significantly lower than C1q-negative patients in either unmatched cohort or matched cohort (all p < 0.05). Furthermore, multivariate Cox regression analysis showed that independent risk factors influencing renal survival included Scr, urinary protein, T1-T2 lesion and C1q deposition. Mesangial C1q deposition is a predictor of poor renal survival in IgA nephropathy.Trial registration TCTR, TCTR20140515001. Registered May 15, 2014, http://www.clinicaltrials.in.th/index.php?tp=regtrials&menu=trialsearch&smenu=fulltext&task=search&task2=view1&id=1074.

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Effect of self-reported cannabis use on postoperative outcomes: a propensity matched cohort analysis of non-cardiac surgery patients

Regional Anesthesia and Pain Medicine ◽

10.1136/rapm-2021-102754 ◽

2021 ◽

pp. rapm-2021-102754

Author(s):

Harsha Shanthanna ◽

Betty Huiyu Zhang ◽

Haris Saud ◽

Neil Sengupta ◽

Max Chen ◽

...

Keyword(s):

Cardiac Surgery ◽

Cohort Analysis ◽

Cannabis Use ◽

Postoperative Outcomes ◽

Matched Cohort

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PDB9 Real World Comparison of Healthcare Resource Use of 177lutetium Oxodotretotide (LUTATHERA®) in England and Matched Cohort Analysis of Progressive Neuroendocrine Tumour Patients Using the Hospital Episodes Statistics Database

Value in Health ◽

10.1016/j.jval.2021.04.407 ◽

2021 ◽

Vol 24 ◽

pp. S79

Author(s):

T. Cox ◽

M. O'Connell ◽

O. Leeuwenkamp ◽

S. Palimaka ◽

N. Reed

Keyword(s):

Resource Use ◽

Real World ◽

Healthcare Resource ◽

Neuroendocrine Tumour ◽

Cohort Analysis ◽

Matched Cohort ◽

Healthcare Resource Use

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Association of Health Insurance Status with Outcomes of Sepsis in Adult Patients: A Retrospective Cohort Study

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18115777 ◽

2021 ◽

Vol 18 (11) ◽

pp. 5777

Author(s):

Gaon-Sorae Wang ◽

Kyoung-Min You ◽

You-Hwan Jo ◽

Hui-Jai Lee ◽

Jong-Hwan Shin ◽

...

Keyword(s):

Health Insurance ◽

Propensity Score ◽

Hospital Mortality ◽

Cohort Analysis ◽

Adult Patients ◽

Multivariate Logistic Regression Model ◽

Insurance Status ◽

Matched Cohort ◽

Health Insurance Status ◽

Significant Difference

(1) Background: Sepsis is a life-threatening disease, and various demographic and socioeconomic factors affect outcomes in sepsis. However, little is known regarding the potential association between health insurance status and outcomes of sepsis in Korea. We evaluated the association of health insurance and clinical outcomes in patients with sepsis. (2) Methods: Prospective cohort data of adult patients with sepsis and septic shock from March 2016 to December 2018 in three hospitals were retrospectively analyzed. We categorized patients into two groups according to their health insurance status: National Health Insurance (NHI) and Medical Aid (MA). The primary end point was in-hospital mortality. The multivariate logistic regression model and propensity score matching were used. (3) Results: Of a total of 2526 eligible patients, 2329 (92.2%) were covered by NHI, and 197 (7.8%) were covered by MA. The MA group had fewer males, more chronic kidney disease, more multiple sources of infection, and more patients with initial lactate > 2 mmol/L. In-hospital, 28-day, and 90-day mortality were not significantly different between the two groups and in-hospital mortality was not different in the subgroup analysis. Furthermore, health insurance status was not independently associated with in-hospital mortality in multivariate analysis and was not associated with survival outcomes in the propensity score-matched cohort. (4) Conclusion: Our propensity score-matched cohort analysis demonstrated that there was no significant difference in in-hospital mortality by health insurance status in patients with sepsis.

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