Chronic opioid analgesic usage post-kidney transplantation and clinical outcomes.

Chronic opioid usage (COU) is common among patients with end-stage renal disease (ESRD) qualified for kidney transplantation and associated with inferior post-transplant outcomes. The magnitude of COU after kidney transplantation and its impact on transplant outcomes remain unknown. We performed a single-center retrospective study aimed to describe the prevalence of COU during the first year, to identify the predictors of COU and to determine the impact of COU on post-transplant outcomes including the rates of hospitalization and acute rejection during the first year, as well as long-term patient and graft survival. Among 1045 kidney transplant patients, 119 (11.4%) had required continued outpatient prescription of opioid analgesics during the first year after kidney transplantation, mostly for non-surgery-related pain (85%). A positive history of COU prior to transplantation was the strongest predictor of COU in the first year post-transplantation (adjusted odds ratio [AOR] 4.31, p < 0.001). Patients with COU had more often hospital admission during the first year (AOR 2.48, p = 0.001, for 1 or 2 admissions, and AOR 6.03, p < 0.001 for ≥3 admissions), but similar rate of acute rejection (19.3% vs. 15.7%, p = 0.31). During long-term follow-up, however, the patient and/or death-censored kidney survival was not different. COU early post-kidney transplantation, when clinically indicated and properly supervised, does not appear to affect the risk of death and death-censored graft failure.

A history of chronic opioid usage prior to kidney transplantation may be associated with increased mortality risk.

Chronic opioid usage (COU) for analgesia is common among patients with end-stage renal disease. In order to test whether a prior history of COU negatively affects post-kidney transplant outcomes, we retrospectively examined clinical outcomes in adult kidney transplant patients. Among 1064 adult kidney transplant patients, 452 (42.5%) reported the presence of various body pains and 108 (10.2%) reported a prior history of COU. While the overall death or kidney graft loss was not statistically different between patients with and without a history of COU, the cumulative mortality rate at 1, 3, and 5 years after transplantation, and during the entire study period, appeared significantly higher for patients with than without a history of COU (6.5, 18.5, and 20.4 vs. 3.2, 7.5, and 12.7%, respectively). Multivariate Cox regression analysis adjusted for potential confounding factors in entire cohorts and Cox regression analysis in 1:3 propensity-score matched cohorts suggest that a positive history of COU was significantly associated with nearly a 1.6- to 2-fold increase in the risk of death (hazard ratio 1.65, 95% confidence interval 1.04-2.60, and hazard ratio 1.92, 95% confidence interval 1.08-3.42, respectively). Thus, a history of chronic opioid usage prior to transplantation appears to be associated with increased mortality risk. Additional studies are warranted to confirm the observed association and to understand the mechanisms.

A one-day centralized work-up for kidney transplant recipient candidates: a quality improvement report.

BACKGROUND: Waiting time for a kidney transplant is calculated from the date the patient is placed on the UNOS (United Network for Organ Sharing) waitlist to the date the patient undergoes transplant. Time from transplant evaluation to listing represents unaccounted waiting time, potentially resulting in longer dialysis exposure for some patients with prolonged evaluation times. There are established disparities demonstrating that groups of patients take longer to be placed on the waitlist and thus have less access to kidney transplant. STUDY DESIGN: Quality improvement report. SETTING & PARTICIPANTS: 905 patients from a university-based hospital were evaluated for kidney transplant candidacy, and analysis was performed from July 1, 2004, to January 31, 2010. QUALITY IMPROVEMENT PLAN: A 1-day centralized work-up was implemented on July 1, 2007, whereby the transplant center coordinated the necessary tests needed to fulfill minimal listing criteria. OUTCOME: Time from evaluation to UNOS listing was compared between the 2 cohorts. Multivariable Cox proportional hazards models were created to assess the relative hazards of waitlist placement comparing 1-day versus conventional work-up and were adjusted for age, sex, race, and education. RESULTS: Of 905 patients analyzed, 378 underwent conventional evaluation and 527 underwent a 1-day center-coordinated evaluation. Median time to listing in the 1-day center-coordinated evaluation compared with conventional was significantly less (46 vs 226 days, P < 0.001). On multivariable analysis controlling for age, sex, and education level, the 1-day in-center group was 3 times more likely to place patients on the wait list (adjusted HR, 3.08; 95% CI, 2.64-3.59). Listing time was significantly decreased across race, sex, education, and ethnicity. LIMITATIONS: Single center, retrospective. Variables that may influence transplant practitioners, such as comorbid conditions or functional status, were not assessed. CONCLUSIONS: A 1-day center-coordinated pretransplant work-up model significantly decreased time to listing for kidney transplant.

Rapid reversal of acute kidney injury and hospital outcomes: a retrospective cohort study.

BACKGROUND: Acute kidney injury (AKI), defined as an increment in serum creatinine level of 0.3 mg/dL or greater in 48 hours, is associated with poor outcomes. The prognosis associated with an increased creatinine level, either on admission or that develops in the hospital (ie, AKI), that rapidly returns to normal is not known. STUDY DESIGN: Retrospective cohort study. SETTING & PARTICIPANTS: 6,033 patients admitted to medical wards of a community teaching hospital between 2005 and 2007. PREDICTOR: AKI was defined as an increase in serum creatinine level of 0.3 mg/dL or greater within 48 hours. Increased serum creatinine level on admission was defined as serum creatinine greater than1.2 mg/dL on hospital admission in patients who did not subsequently meet criteria for AKI. Patients with a serum creatinine level of 1.2 mg/dL or less who had no increase of 0.3 mg/dL or greater within 48 hours during their hospital stay served as controls. OUTCOMES & MEASUREMENTS: Mortality, length of stay, intensive care unit transfer, and discharge destination were outcomes of interest. RESULTS: Of 6,033 patients, 735 had AKI. Of these, 443 (60%) had serum creatinine levels that subsequently decreased by 0.3 mg/dL or greater within 48 hours and 197 returned to normal levels within 48 hours. Overall, patients with AKI had significantly greater mortality rates (14.8%) than patients without AKI with increased serum creatinine levels on admission (2.5%) and controls (1.3%; P < 0.001). Patients with AKI with a serum creatinine level that returned to normal within 48 hours had substantially greater mortality rates (14.2%) than those who initially presented with an increased serum creatinine level on admission and subsequent serum creatinine level decrease of 0.3 mg/dL or greater to normal within 48 hours (2.5%; P < 0.01). LIMITATIONS: Sample sizes of subgroups were small. Causes of AKI and increases in serum creatinine levels on admission were not assessed. CONCLUSIONS: An increase in serum creatinine level of 0.3 mg/dL or greater during 48 hours of hospitalization predicts outcomes even if the value returns to normal. Patients who present to the hospital with an increased creatinine level that returns rapidly to normal have outcomes approaching those with serum creatinine levels consistently in the normal range.

Acute kidney injury criteria predict outcomes of critically ill patients.

OBJECTIVE: The Acute Kidney Injury Network's proposed definition for acute kidney injury (increment of serum creatinine > or = 0.3 mg/dL or 50% from baseline within 48 hrs or urine output < 0.5 mL/kg/hr for > 6 hrs despite fluid resuscitation when applicable) predicts meaningful clinical outcomes. DESIGN: Retrospective cohort study. SETTING: A 350-bed community teaching hospital. PATIENTS: The study population consisted of 471 patients with no recent history of renal replacement therapy who were admitted to the medical intensive care unit during 1 yr. INTERVENTIONS: Medical records of all patients were reviewed using a data abstraction tool. Demographic information, diagnoses, risk factors for acute kidney disease, physiologic and laboratory data, and outcomes were recorded. MEASUREMENTS AND MAIN RESULTS: Of 496 patients, 471 were not receiving renal replacement therapy in the weeks before medical intensive care unit admission; 213 had changes > or = .3 mg/dL in serum creatinine within 48 hrs and/or urine output of < or = .5 mL/kg/hr for > 6 hrs. Detailed fluid challenge information was available for only 123 patients, who met acute kidney injury criteria, and three patients reversed after administration of > or = 500 mL of intravenous fluid and/or blood products. All patients whose creatinine increased > or = 50% also had increments > or = 0.3 mg/dL. The 120 patients with acute kidney injury were older (mean +/- SE: 69.3 +/- 1.7 vs. 62.9 +/- 1.3, p < .01), were more ill (Acute Physiology and Chronic Health Evaluation II score 18.7 +/- .6 vs. 13.3 +/- .4, p < .01), and had multiple comorbidities (two or more organs, 65% vs. 51.3%, p < .01) compared with those without acute kidney injury. The mortality rate of patients who met criteria for acute kidney injury was significantly higher than that of patients who did not have acute kidney injury (45.8 vs. 16.4%, p < .01). In multivariate logistic regression analyses, acute kidney injury was an independent predictor of mortality (adjusted odds ratio 3.7, 95% confidence interval 2.2-6.1). Acute kidney injury was a better predictor of in-hospital mortality than was Acute Physiology and Chronic Health Evaluation II score, advanced age, or presence of nonrenal organ failures. Median hospital stay was twice as long in patients with acute kidney injury (14 vs. 7 days, p < .01), and only patients with acute kidney injury required hemodialysis during hospitalization. The oliguria criterion of acute kidney injury did not affect the odds of in-hospital mortality. CONCLUSIONS: The Acute Kidney Injury Network definition of acute kidney injury predicts hospital mortality, need for renal replacement therapy, and prolonged hospital stay in critically ill patients. An increment of serum creatinine > or = 0.3 mg/dL in 48 hrs alone predicts clinical outcomes as well as the full Acute Kidney Injury Network definition.

Physician preferences for medical interventions in elderly patients.

PURPOSE: To identify factors influencing medical decision making in the elderly based on differences in age, cognition, and function. MEASUREMENTS: Physicians were given a clinical scenario and asked to select from three management options based on the patients' characteristics. RESULTS: Eighty-six percent would offer aggressive management to patients less than 85 years of age, whereas only 47.2% would offer similar care to those over 85 years of age (RR 0.5; 95% CI: 0.4-0.7). Physicians were less likely to offer aggressive management for patients with dementia (RR 0.2; 95% CI: 0.1-0.6), and for those requiring home assistance (RR: 0.2; 95% CI: 0.1-0.6) compared to those without dementia or functional limitations. CONCLUSION: Physicians are more likely to deny aggressive management to functionally active adults over 85 years of age, and to those with dementia or functional impairment irrespective of age.

Acute kidney injury predicts outcomes of non-critically ill patients.

OBJECTIVE: To evaluate whether acute kidney injury (AKI), defined as an increase in the serum creatinine level of 0.3 mg/dL or more within 48 hours, predicts outcomes of non-critically ill patients. PATIENTS AND METHODS: Among the adults admitted from June 1, 2005, to June 30, 2007, to the medical wards of a community teaching hospital, 735 patients with AKI and 5089 controls were identified. Demographic and health information, serum creatinine values, and outcomes were abstracted from patients' computerized medical records. Outcomes of patients with AKI were compared with those of controls. In an additional case-control analysis, more detailed clinical information was abstracted from the medical records of 282 pairs of randomly selected, age-matched AKI cases and controls. Conditional multivariate logistic regression analyses were used to adjust for potential confounders of AKI effect on outcomes. RESULTS: Overall, patients with AKI had higher in-hospital mortality (14.8% vs 1.5%; P<.001), longer lengths of stay (median 7.9 vs 3.7 days; P<.001), and higher rates of transfer to critical care areas (28.6% vs 4.3%; P<.001); survivors were more likely to be discharged to an extended care facility (43.1% vs 20.3%; P<.001). Conditional multivariate logistic regression analyses of the 282 pairs of cases and controls showed that patients with AKI were 8 times more likely to die in hospital (odds ratio [OR], 7.9; 95% CI [confidence interval], 2.9-15.3) and were 5 times more likely to have prolonged (>or=7 days) hospital stays (OR, 5.2; 95% CI, 3.5-7.9) and require intensive care (OR, 4.7; 95% CI, 2.7-8.1), after adjustment for age, comorbidities, and other potential confounders. CONCLUSION: In this study, AKI was associated with adverse outcomes in non-critically ill patients.

Prevalence of abuse in fibromyalgia and other rheumatic disorders at a specialized clinic in rheumatic diseases in Guatemala City.

BACKGROUND: The importance of past adverse experiences is increasingly recognized in patients with rheumatic disease. OBJECTIVE: The objective of this study was to study the association of physical, verbal, and sexual abuse in patients with rheumatic disorders as compared with healthy volunteers. METHODS: In this case-control study, 500 new patients attending an outpatient rheumatic clinic were interviewed from September 1, 1999, to August 31, 2001. A total of 187 patients with 3 diagnoses were selected: 58 had fibromyalgia (FM), 74 rheumatoid arthritis (RA), and 55 patients with soft tissue rheumatic disease (STRD). All selected patients were asked to complete a questionnaire designed to obtain information regarding demographics and history of verbal, physical, and sexual abuse. A group of 187 healthy control subjects were also included, matched for sex and age. RESULTS: The prevalence of abuse was significantly more common in the rheumatic disease group than in the control group (48.1% versus 15%, P < 0.001). The prevalence of abuse among the groups was as follows: 70.7% of patients with FM reported abuse (24.3% verbal, 60.9% physical, and 14.8% sexual), 35.1% of patients with RA had a history of abuse (42.3% verbal, 30.7% physical, and 0% sexual), whereas 41.8% of patients with STRD reported abuse (43.4% verbal, 43.4% physical, and 0% sexual). When comparing the 3 groups, patients with FM showed a higher prevalence of abuse (P < 0.05). The abuse was usually longstanding (range, 1-10 years), and most abusers were close family members. CONCLUSION: Abuse, both physical and psychologic, was significantly increased in our rheumatic disease population, especially in patients with FM. Further studies are needed to fully establish its role. Questions about abuse may provide important information relative to care of our patients.