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1.
John J. Sim Simran K. Bhandari Michael Batech Aviv Hever Teresa N. Harrison Yu-Hsiang Shu Dean A. Kujubu Tracy Y. Jonelis Michael H. Kanter Steven J. Jacobsen 《Mayo Clinic proceedings. Mayo Clinic》2018,93(2):167-178
Objective
To compare renal function decline, incident end-stage renal disease (ESRD), and mortality among patients with 5 common glomerular diseases in a large diverse population.Patients and Methods
A retrospective cohort study (between January 1, 2000, and December 31, 2011) of patients with glomerulonephropathy using the electronic health record of an integrated health system was performed. Estimated glomerular filtration rate (eGFR) change, incident ESRD, and mortality were compared among patients with biopsy-proven focal segmental glomerulosclerosis (FSGS), membranous glomerulonephritis (MN), minimal change disease (MCD), immunoglobulin A nephropathy (IgAN), and lupus nephritis (LN). Competing risk models were used to estimate hazard ratios for different glomerulonephropathies for incident ESRD, with mortality as a competing outcome after adjusting for potential confounders.Results
Of the 2350 patients with glomerulonephropathy (208 patients [9%] younger than 18 years) with a mean follow-up of 4.5±3.6 years, 497 (21%) progressed to ESRD and 195 (8%) died before ESRD. The median eGFR decline was 1.0 mL/min per 1.73 m2 per year but varied across different glomerulonephropathies (P<.001). The highest ESRD incidence (per 100 person-years) was observed in FSGS 8.72 (95% CI, 3.93-16.72) followed by IgAN (4.54; 95% CI, 1.37-11.02), LN (2.38; 95% CI, 0.37-7.82), MN (2.15; 95% CI, 0.29-7.46), and MCD (1.67; 95% CI, 0.15-6.69). Compared with MCD, hazard ratios (95% CIs) for incident ESRD were 3.43 (2.32-5.08) and 2.35 (1.46-3.81), 1.28 (0.79-2.07), and 1.02 (0.62-1.68) for FSGS, IgAN, LN, and MN, respectively. No significant association between glomerulonephropathy types and mortality was detected (P=.24).Conclusion
Our findings from a real-world clinical environment revealed significant differences in eGFR decline and ESRD risk among patients with 5 glomerulonephropathies. These variations in presentation and outcomes warrant different management strategies and expectations. 相似文献2.
3.
《Mayo Clinic proceedings. Mayo Clinic》2014,89(9):1229-1238
ObjectiveTo describe incidence rates (IRs) of polymerase chain reaction (PCR)–diagnosed Clostridium difficile infection (CDI) in a large high-risk cohort.Patients and MethodsMembers of Kaiser Permanente Southern California 1 year or older who were admitted to any of 14 Kaiser Permanente hospitals from January 1, 2011, through December 31, 2012, were included in the study. The CDI cases were identified by PCR in the inpatient and outpatient settings. The CDI IRs per 10,000 inpatient-days are estimated by year, surveillance category, age, sex, race/ethnicity, and Charlson comorbidity index. Recurrence rates are presented by age, sex, and race/ethnicity. Death and colectomy in the 30 days after CDI diagnosis, white blood cell count, and serum creatinine level are assessed.ResultsAmong 268,655 patients, 4286 (1.6%) had CDI. Among these patients, 671 (15.7%) had recurrent infections. The IR was highest among community-onset, health care facility–associated infections (11.1 per 10,000 inpatient-days). The CDI IRs differed by age, sex, and race/ethnicity. Overall, 528 patients (12.3%) died within 30 days of a positive CDI test result. The CDI IRs increased 34% with implementation of PCR testing.ConclusionIncreasingly, PCR is being used because of its higher diagnostic sensitivity. Reassessing the epidemic using PCR updates our understanding of CDI risk. Our capacity to identify patients presenting in the outpatient setting after discharge provides a more accurate picture of health care–associated CDI rates, particularly because the community appears to assume an increasing role in CDI onset and possibly transmission. The CDI burden differs by race, comorbidity, sex, and previous health care use. The detected increase in CDI incidence after transitioning to PCR diagnosis was modest compared with previous studies. 相似文献
4.
John J. Sim Simran K. Bhandari Jiaxiao Shi In Lu A. Liu David A. Calhoun Elizabeth A. McGlynn Kamyar Kalantar-Zadeh Steven J. Jacobsen 《Mayo Clinic proceedings. Mayo Clinic》2013,88(10):1099-1107
ObjectiveTo evaluate the prevalence of and characterize resistant hypertension in a large representative population with successful hypertension management and reliable health information.Patient and MethodsWe performed a cross-sectional study using clinical encounter, laboratory, and administrative information from the Kaiser Permanente Southern California health system between January 1, 2006, and December 31, 2007. From individuals older than 17 years with hypertension, resistant hypertension was identified and prevalence was determined. Multivariable logistic regression was used to calculate odds ratios (ORs), with adjustments for demographic characteristics, clinical variables, and medication use.ResultsOf 470,386 hypertensive individuals, 60,327 (12.8%) were identified as having resistant disease, representing 15.3% of those taking medications. Overall, 37,061 patients (7.9%) had uncontrolled hypertension while taking 3 or more medicines. The ORs (95% CIs) for resistant hypertension were greater for black race (1.68 [1.62-1.75]), older age (1.11 [1.10-1.11] for every 5-year increase), male sex (1.06 [1.03-1.10]), and obesity (1.46 [1.42-1.51]). Medication adherence rates were higher in those with resistant hypertension (93% vs 89.8%; P<.001). Chronic kidney disease (OR, 1.84; 95% CI, 1.78-1.90), diabetes mellitus (OR, 1.58; 95% CI, 1.53-1.63), and cardiovascular disease (OR, 1.34; 95% CI, 1.30-1.39) were also associated with higher risk of resistant hypertension.ConclusionIn a more standardized hypertension treatment environment, we observed a rate of resistant hypertension comparable with that of previous studies using more fragmented data sources. Past observations have been limited due to nonrepresentative populations, reliability of the data, heterogeneity of the treatment environments, and less than ideal control rates. This cohort, which was established using an electronic medical record–based approach, has the potential to provide a better understanding of resistant hypertension and outcomes. 相似文献
5.
Bradley K. Ackerson Lina S. Sy Janis F. Yao T. Craig Cheetham Ana M. Espinosa-Rydman Tonia L. Jones Steven J. Jacobsen 《Vaccine》2013
Background
The monitoring of vaccine safety is critical to maintaining the public acceptance of vaccines required to ensure their continued success. Methods used to assess adverse events following immunization (AEFI) must accurately reflect their occurrence. Assessment of AEFI is often done via medical record review (MR) or via patient report (PR). However, these sources of data have not previously been compared for the analysis of AEFI. The objective of this study was to evaluate the concordance between MR and PR for young children identified as having had a febrile seizure (FS), an important AEFI, in an integrated health care system. The variables chosen for analysis were those recommended by the Brighton Collaboration Seizure Working Group for the evaluation of generalized seizure as an AEFI [1].Methods
Parent report from phone interviews and mailed questionnaires was compared to abstracted medical records of 110 children with FS between ages 3 and 60 months. Concordance between PR and MR for characteristics and predisposing factors of FS was assessed by percent total agreement and kappa statistic.Results
Percent total agreement between PR and MR was between 43.6 and 100% for variables studied, with 62.5% of items having >70% agreement. However, kappa was poor to fair for all measures (−0.04 to 0.33). While some variables, such as history of seizures in a sibling or parent and several seizure characteristics, were reported more often by PR, other items, such as maximum fever and several concurrent conditions, were reported more often by MR.Conclusion
These findings demonstrate the limitations of using MR or PR alone to assess febrile seizures in children. This analysis supports the practice of collecting data from both MR and PR to most accurately portray the spectrum of predisposing factors and seizure characteristics when evaluating FS in children whenever feasible. 相似文献6.
7.
Yoshitsugu Obi Danh V. Nguyen Hui Zhou Melissa Soohoo Lishi Zhang Yanjun Chen Elani Streja John J. Sim Miklos Z. Molnar Connie M. Rhee Kevin C. Abbott Steven J. Jacobsen Csaba P. Kovesdy Kamyar Kalantar-Zadeh 《Mayo Clinic proceedings. Mayo Clinic》2018,93(9):1224-1235
Objective
To develop and validate a risk prediction model that would help individualize treatment and improve the shared decision-making process between clinicians and patients.Patients and Methods
We developed a risk prediction tool for mortality during the first year of dialysis based on pre–end-stage renal disease characteristics in a cohort of 35,878 US veterans with incident end-stage renal disease who transitioned to dialysis treatment between October 1, 2007, and March 31, 2014 and then externally validated this tool among 4284 patients in the Kaiser Permanente Southern California (KPSC) health care system who transitioned to dialysis treatment between January 1, 2007, and September 30, 2015.Results
To ensure model goodness of fit, 2 separate models were selected for patients whose last estimated glomerular filtration rate (eGFR) before dialysis initiation was less than 15 mL/min per 1.73 m2 or 15 mL/min per 1.73 m2 or higher. Model discrimination in the internal validation cohort of veterans resulted in C statistics of 0.71 (95% CI, 0.70-0.72) and 0.66 (95% CI, 0.65-0.67) among patients with eGFR lower than 15 mL/min per 1.73 m2 and 15 mL/min per 1.73 m2 or higher, respectively. In the KPSC external validation cohort, the developed risk score exhibited C statistics of 0.77 (95% CI, 0.74-0.79) in men and 0.74 (95% CI, 0.71-0.76) in women with eGFR lower than 15 mL/min per 1.73 m2 and 0.71 (95% CI, 0.67-0.74) in men and 0.67 (95% CI, 0.62-0.72) in women with eGFR of 15 mL/min per 1.73 m2 or higher.Conclusion
A new risk prediction tool for mortality during the first year after transition to dialysis (available at www.DialysisScore.com) was developed in the large national Veterans Affairs cohort and validated with good performance in the racially, ethnically, and gender diverse KPSC cohort. This risk prediction tool will help identify high-risk populations and guide management strategies at the transition to dialysis. 相似文献8.
Sara Y. Tartof Lei Qian In-Lu Amy Liu Hung Fu Tseng Lina S. Sy Rulin C. Hechter Bruno J. Lewin Steven J. Jacobsen 《Mayo Clinic proceedings. Mayo Clinic》2019,94(3):397-407
Objective
To determine whether influenza vaccination during hospitalization increases health care utilization, fever, and infection evaluations postdischarge.Patients and Methods
This retrospective cohort study conducted at Kaiser Permanente Southern California included patients aged 6 months or older hospitalized in a Kaiser Permanente Southern California facility with admission and discharge dates between September 1 and March 31 of the following calendar year, from 2011 to 2014. All influenza vaccinations administered during the period of August 1 to April 30 for influenza seasons 2011-2012, 2012-2013, and 2013-2014 were identified. We compared the risk of outcomes of interest between those who received influenza vaccination during their hospitalization vs those who were never vaccinated that season or were vaccinated at other times using propensity score analyses with inverse probability of treatment weighting. Outcomes of interest included rates of outpatient and emergency department visits, readmissions, fever, and clinical laboratory evaluations for infection (urine, blood, and wound culture; complete blood cell count) in the 7 days following discharge.Results
We included in the study 290,149 hospitalizations among 255,737 patients. In adjusted analyses, we found no increased risk of readmissions (relative risk [RR], 0.88; 95% CI, 0.83-0.95), outpatient visits (RR, 0.97; 95% CI, 0.95-0.99), fever (RR, 0.80; 95% CI, 0.68-0.93), and clinical evaluations for infection (RR, 0.95; 95% CI, 0.92-0.98) among those vaccinated during hospitalization compared with those who were never vaccinated or were vaccinated at other times.Conclusion
Our findings provide reassurance about the safety of influenza vaccination during hospitalization. Every contact with a health care professional, including during a hospitalization, is an opportunity to vaccinate. 相似文献9.
10.
Rulin C. Hechter Lei Qian Yi Luo Deborah S. Ling Grant Roger Baxter Nicola P. Klein Karen Valdez Nunley Laurie Aukes Cosmina Hogea Girishanthy Krishnarajah Brandon J. Patterson Theresa M. Im Hung Fu Tseng 《Vaccine》2019,37(1):195-201