Antibiotic prophylaxis for surgery has appeared indicated whenever likelihood of infection is great or consequences of such are catastrophic. For better clarification, a prospective, randomized, double-blind study was run on 400 patients undergoing elective gastric, biliary, and colonic operations. There were four treatment categories, with antibiotic being instituted 12 hours preoperatively, just prior to operation, after operation, or not at all. During operation, samples of blood, viscera, muscle, and fat were taken for determination of antibiotic concentration. Both aerobic and anareobic cultures were also taken of any viscus entered, peritoneal cavity, and incision. Similar cultures were run on all postoperative infections. Results demonstrated that the incidence of wound infection could be reduced significantly by the preoperative administration of antibiotic in operations on the stomach (22% to 4%), on the biliary tract (11% to 2%), and large bowel (16% to 6%). Less impressive results were obtained for peritoneal sepsis. Initiation of antibiotic postoperatively gave an almost identical infection rate as if antibiotic had not been given (15% and 16%, respectively).
Seniors without previously known stage B or stage C heart failure have moderate-to-severe DD, 27% of whom were stage C. Identifying seniors with DD leads to improvement in care.
Background
The COVID-19 pandemic has disproportionally impacted the elderly. In the United States and Europe the mortality rate of elderly patients with COVID-19 is greater than 30%. Our aim is to determine predictors of COVID-19 related hospitalization and severity of disease among elderly Medicare patients in the United States.
Methods
We conducted a retrospective cohort study including elderly Medicare COVID-19 patients across eight states. We collected data from the inpatient and outpatient electronic health record, demographic, clinical and echocardiographic predictors. Our primary outcomes were hospitalization and adult respiratory distress syndrome (ARDS). Our secondary outcome was mortality.
Results
We identified 400 COVID-19 positive patients (incidence 5.2; (95% CI 4.7-5.7) per 1000 patients). The mean age of our patients was 72+/-8, 60% were female, 82% were minorities and had a mean Charlson score of 2.9+/-1.4. Two-hundred and forty-four patients were hospitalized due to COVID-19 (63%) and the mortality rate was 18%; 95% CI 14-22 with 1 patient still in the hospital. Age, socioeconomic status, Charlson score, systolic blood pressure, body mass index, grade 2 or 3 diastolic dysfunction, moderate or severe left ventricular hypertrophy were significant predictors of hospitalization and ARDS (p<0.05).
Conclusions
Our study reports a lower incidence on a COVID-19 cohort than previously reported. Predictors of poor outcomes included socio-economic, cardiovascular risk and echocardiographic measures. High touch care with early cardiovascular risk factor modification could explain the low risk of events in our population.
Background
A clinically based sudden cardiac death (SCD) risk score has predictive value. Echocardiographic parameters predict SCD. Our aim was to evaluate the effect of adding echocardiographic parameters to the clinical SCD risk score for the prediction of all‐cause mortality.
Methods
We conducted a retrospective cohort of screening echocardiograms performed on primary care patients. We calculated the SCD risk score and added the left ventricular (LV) mass index, LV hypertrophy, diastolic dysfunction, and LV ejection fraction (EF). We calculated the c‐statistic, net reclassification index (NRI), and Hosmer‐Lemeshow chi‐square for the SCD score alone or combined with each echocardiographic parameter in predicting all‐cause mortality.
Results
We included 6447 primary care patients who underwent a screening echocardiogram and had a SCD score. The c‐statistic of the SCD score for mortality was 0.61; 95% CI 0.58–0.62 and the c‐statistic for the score combined with LV mass index increased to 0.64; 95% CI 0.63–0.65 and for the score combined with LVEF, the c‐statistic was 0.64;95% CI 0.63–0.67. When diastolic dysfunction and LV hypertrophy were added to the SCD score, the c‐statistic did not significantly change (P > 0.05). The NRI for the addition of LV mass index and LVEF was 0.52 ± 0.02, and the Hosmer‐Lemeshow statistic was nonsignificant (P > 0.05).
Conclusions
Adding LV mass index or LVEF to the SCD risk score improves the ability to predict mortality, but in the primary care setting, the improvement is small and underscores the challenge of SCD prediction and prevention in the community.
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