Faculty Bibliography

Dr. [Robert Austrian] was unconvinced by the prevailing medical wisdom. Through his work as a clinician, epidemiologist and microbiologist, he showed that pneumococcal pneumonia remained a killer. Two vaccines based on Dr. Austrian's work were licensed in 1977 and 1983. Robert Austrian was born in Baltimore on April 12, 1916, the son of Charles Robert Austrian, an infectious diseases expert at Johns Hopkins University, and the former Florence Hochschild. He earned his college and medical degrees from Johns Hopkins, where he also trained as a specialist in internal medicine. After drug companies developed a vaccine that included 14 serotypes, Dr. Austrian proved its safety and effectiveness by supervising clinical trials among military trainees and gold miners in South Africa. They were at greater risk because they worked in crowded conditions. The vaccine was marketed in 1977, at a time when there were up to 750,000 cases of pneumococcal pneumonia in the United States each year

The pneumococcal vaccine can prevent the pneumonia, meningitis and blood-system and other infections caused by the bacterium Streptococcus pneumoniae. These infections were long a major cause of illness and death among the elderly and the chronically ill throughout the world. Even healthy adults and infants suddenly died from them. After drug companies developed a vaccine that included 14 serotypes, Austrian proved its safety and effectiveness by supervising clinical trials among military trainees and gold miners in South Africa. They were at greater risk because they worked in crowded conditions. The vaccine was marketed in 1977, at a time when there were up to 750,000 cases of pneumococcal pneumonia in the United States each year

The Institute of Medicine's recent report, Organ Donation: Opportunities for Action, studies the current problems facing organ donation in the USA, making suggestions for quality improvement and analyzing various proposals of incentivized donation and presumed consent (PC). Although the report deals with the donation of several solid organs, this mini review examines the findings from the perspective of kidney transplantation. The committee's recommendations to move from circulatory to neurologic criteria for cadaveric donation and to increase opportunities for donor decision making are prudent. We agree with the committee's arguments against providing incentives for donation because of the inherent distributional inequalities and imperfect information; the intrinsic difficulties in establishing market equilibrium for such heterogeneous and perishable goods; the implied commoditization of the human body; and the inadequate data regarding the long-term risks of living donation. However, we question the committee's firm opposition to PC, especially given recent data from 22 European countries showing a 25-30% increase in organ supply attributable to a PC policy. If this simple change in the default position on donation has the potential to increase organ supply, decrease the need for living donation, reduce the burden on grieving families, maintain familial authority over the deceased, and respect patient autonomy, at least a pilot program of PC seems warranted.

Summary: Few data are available regarding bone mineral density (BMD) and its determinants among Chinese Americans. We identified determinants of BMD among 359 Chinese-American women in order to identify risk factors for low BMD in this burgeoning population. BMD in Chinese-American women is influenced by a number of factors, including immigration. INTRODUCTION: Osteoporosis and low BMD are common among Chinese women, including Chinese Americans, who are a growing population at risk for osteoporosis in the US. Few data are available regarding BMD and its determinants among Chinese-American women. METHODS: In this study, we examined predictors of BMD in 359 ambulatory Chinese-American women, ages 20-90, using stepwise multiple regression analysis. Variables in the model included age, weight, height, menarche age, years since menopause, immigration age, years in US, percentage of life in US, number of pregnancies, oral contraceptive use, family history of osteoporosis, family history of hip fracture, daily calcium intake, exercise, time outdoors, alcohol consumption and tobacco use. RESULTS: Among premenopausal women, weight was the strongest predictor of BMD, accounting for 10.5% of the variance at the lumbar spine (LS), 15.2% at the total hip (TH) and 16.6% at the femoral neck (FN). Time outdoors was also a positive predictor of BMD (1.4% at LS, 2.8% at TH and 1.6% at FN), while family history of osteoporosis (1.4% at TH) and age (3.7% at FN) were negative predictors. Among postmenopausal women, greater BMD at the LS and TH was associated with greater weight and earlier immigration age. Weight accounted for 16.4% of the variance at the LS and 19.8% at the TH; immigration age accounted for 3.1% of the variance at the LS and 4.1% at the TH. At the FN, years since menopause and weight were predictors of BMD, accounting for 14.4% and 8.7% of the variance, respectively. While older age at immigration had a negative effect on BMD, years in and proportion of life in the United States were not significant predictors of BMD. CONCLUSIONS: Bone mineral density in Chinese-American women is influenced by a number of biological and lifestyle factors, including immigration. The results of this study provide new insights into risk factors for low bone density as they relate to environmental determinants in the growing population of Chinese-American women.

BACKGROUND: As medical care moves towards an outpatient focus, monitoring systems for ambulatory patients are increasingly important. Because adverse outcomes due to medications are an important problem in outpatients, the authors developed an automated monitoring system for detecting adverse drug reactions (ADRs) in ambulatory patients. METHODS: The authors obtained a set of approximately 110,000 ambulatory care notes from the medicine clinic at Bellevue Hospital Centre for 2003-4, and manually analysed a representative sample of 1250 notes to obtain a gold standard. To detect ADRs in the text of electronic ambulatory notes, the authors used a 'trigger phrases' methodology, based on a simple grammar populated with a limited set of keywords. RESULTS: Under current functionality, this system detected 38 of 54 cases in the authors' gold standard set, of which 17 were true positives, for a sensitivity of 31%, a specificity of 98%, and a positive predictive value of 45%. Their proxy measure correlated with 70% of the ADRs in the gold standard. These values are comparable or superior to other systems described in the literature. CONCLUSIONS: These results show that an automated system can detect ADRs with moderate sensitivity and high specificity, and has the potential to serve as the basis for a larger scale reporting system