Eric Honig

Emergence of community-acquired meticillin-resistant Staphylococcus aureus strain USA300 as a cause of necrotising community-onset pneumonia

Meticillin-resistant Staphylococcus aureus (MRSA), usually known as a nosocomial pathogen, has emerged as the predominant cause of skin and soft-tissue infections in many communities. Concurrent with the emergence of community-acquired MRSA (CA-MRSA), there have been increasing numbers of reports of community-acquired necrotising pneumonia in young patients and others without the classic health-care-associated risk factors. Community-onset necrotising pneumonia due to CA-MRSA is now recognised as an emerging clinical entity with distinctive clinical features and substantial morbidity and mortality. A viral prodrome (eg, influenza or influenza-like illness) followed by acute onset of shortness of breath, sepsis, and haemoptysis is the most frequent clinical presentation. The best treatment of this partly toxin-mediated disease has not been clearly defined. Whereas cases of CA-MRSA pneumonia have now been reported from almost every continent, the overall burden of disease of this emerging syndrome remains incompletely described. We report two related cases of community-onset pneumonia due to the MRSA USA300 genotype and review the literature regarding the emergence of CA-MRSA pneumonia.

Validation of the Pneumonia Severity Index: Importance of Study-Specific Recalibration

OBJECTIVE: To evaluate the predictive validity and calibration of the pneumonia severity-of-illness index (PSI) in patients with community-acquired pneumonia (CAP).PATIENTS: Randomly selected patients (n=1,024) admitted with CAP to 22 community hospitals.MEASUREMENTS AND MAIN RESULTS: Medical records were abstracted to obtain prognostic information used in the PSI. The discriminatory ability of the PSI to identify patients who died and the calibration of the PSI across deciles of risk were determined. The PSI discriminates well between patients with high risk of death and those with a lower risk. In contrast, calibration of the PSI was poor, and the PSI predicted about 2.4 times more deaths than actually occurred in our population of patients with CAP.CONCLUSIONS: We found that the PSI had good discriminatory ability. The original PSI overestimated absolute risk of death in our population. We describe a simple approach to recalibration, which corrected the overestimation in our population. Recalibration may be needed when transporting this prediction rule across populations.

The Effects of Marijuana Exposure on Expiratory Airflow. A Study of Adults who Participated in the U.S. National Health and Nutrition Examination Study

RATIONALE Given the inconclusive science on the long-term effects of marijuana exposure on lung function, the increasing tetrahydrocannabinol composition of marijuana over time, and the increasing legal accessibility of the substance, continued investigation is needed. OBJECTIVES To determine the independent association between recent and chronic marijuana smoke exposure with spirometric parameters of lung function and symptoms of respiratory health in a large cohort of U.S. adults. METHODS This is a cross-sectional study of U.S. adults who participated in the National Health and Nutrition Examination Survey cycles from 2007-2008 and 2009-2010, using the data from standardized spirometry and survey questions performed during these years. MEASUREMENTS AND MAIN RESULTS In the combined 2007-2010 cohort, 59.1% replied that they had used marijuana at least once, and 12.2% had used in the past month. For each additional day of marijuana use in the prior month, there were no changes in percent predicted FEV1 (0.002 ± 0.04%; P = 0.9), but there was an associated increase in percent predicted FVC (0.13 ± 0.03%, P = 0.0001) and decrease in the FEV1/FVC ratio (-0.1 ± 0.04%; P < 0.0001). In multivariable regressions, 1-5 and 6-20 joint-years of marijuana use were not associated with an FEV1/FVC less than 70% (odds ratio [OR] = 1.1, 95% confidence interval [CI] = 0.7-1.6, P = 0.8, and OR = 1.2, 95% CI = 0.8-1.8, P = 0.4, respectively), whereas over 20 joint-years was associated with an FEV1/FVC less than 70% (OR = 2.1; 95% CI = 1.1-3.9; P = 0.02). For each additional marijuana joint-year smoked, there was no associated change in the mean percent predicted FEV1 (0.02 ± 0.02%; P = 1.00), an increase in percent predicted FVC (0.07 ± 0.02%; P = 0.004), and a decrease in FEV1/FVC (-0.03 ± 0.01%; P = 0.02). CONCLUSIONS In a large cross-section of U.S. adults, cumulative lifetime marijuana use, up to 20 joint-years, is not associated with adverse changes in spirometric measures of lung health. Although greater than 20 joint-years of cumulative marijuana exposure was associated with a twofold increased odds of a FEV1/FVC less than 70%, this was the result of an increase in FVC, rather than a disproportional decrease in FEV1 as is typically associated with obstructive lung diseases.

Effect of Electronic Health Record Implementation in Critical Care on Survival and Medication Errors

Background: Electronic health records (EHR) with computerized physician order entry have become exceedingly common and government incentives have urged implementation. The purpose of this study was to ascertain the effect of EHR implementation on medical intensive care unit (MICU) mortality, length of stay (LOS), hospital LOS and medication errors. Materials and Methods: Prospective, observational study from July 2010‐June 2011 in MICU at an urban teaching hospital in Atlanta, Georgia of 797 patients admitted to the MICU; 281 patients before the EHR implementation and 516 patients post‐EHR implementation. Results: Compared with the preimplementation period (N = 43 per 281), the mortality risk at 4 months post‐EHR implementation (N = 41 per 247) and at 8 months post‐EHR implementation (N = 26 per 269) significantly decreased (P < 0.001). In addition, the mean MICU LOS statistically decreased from 4.03 ± 1.06 days pre‐EHR to 3.26 ± 1.06 days 4 months post‐EHR and to 3.12 ± 1.05 days 8 months post‐EHR (P = 0.002). However, the mean hospital LOS was not statistically decreased. Although medication errors increased after implementation (P = 0.002), this was attributable to less severe errors and there was actually a decrease in the number of severe medication errors (both P < 0.001). Conclusions: We report a survival benefit following the implementation of EHR with computerized physician order entry in a critical care setting and a concomitant decrease in the number of severe medication errors. Although overall hospital LOS was not shortened, this study proposes that EHR implementation in a busy urban hospital was associated with improved ICU outcomes.

Evaluating Simulation-Based ACLS Education on Patient Outcomes: A Randomized, Controlled Pilot Study

BACKGROUND Simulation training is widely accepted as an effective teaching tool, especially for dealing with high-risk situations. OBJECTIVE We assessed whether standardized, simulation-based advanced cardiac life support (ACLS) training improved performance in managing simulated and actual cardiac arrests. METHODS A total of 103 second- and third-year internal medicine residents were randomized to 2 groups. The first group underwent conventional ACLS training. The second group underwent two 2 1/2-hour sessions of standardized simulation ACLS teaching. The groups were assessed by evaluators blinded to their assignment during in-hospital monthly mock codes and actual inpatient code sheets at 3 large academic hospitals. Primary outcomes were time to initiation of cardiopulmonary resuscitation, time to administration of first epinephrine/vasopressin, time to delivery of first defibrillation, and adherence to American Heart Association guidelines. RESULTS There were no differences in primary outcomes among the study arms and hospital sites. During 21 mock codes, the most common error was misidentification of the initial rhythm (67% [6 of 9] and 58% [7 of 12] control and simulation arms, respectively, P  =  .70). There were no differences in primary outcome among groups in 147 actual inpatient codes. CONCLUSIONS This blinded, randomized study found no effect on primary outcomes. A notable finding was the percentage of internal medicine residents who misidentified cardiac arrest rhythms.

Evaluation of medication errors with implementation of electronic health record technology in the medical intensive care unit

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