Publications by authors named "Edgard Granillo"
Background: Although ventricular tachycardia (VT) occurring during hospitalization for an acute myocardial infarction (AMI) increases mortality risk, its relationship with 30-day postdischarge rehospitalization has not been examined.
Methods: Using data from the Worcester Heart Attack Study, we examined the association between early (during the first 48 hours of admission) and late (after 48 hours from admission) VT with 30-day postdischarge all-cause and cardiovascular disease (CVD)-related rehospitalization while analytically controlling for several demographic and clinical factors.
Results: The study population consisted of 3534 patients who were hospitalized with an AMI between 2005 and 2015 (average age, 67.
Background: Limited data exist about relatively recent trends in the magnitude and characteristics of patients who are re-hospitalized after hospital admission for an acute myocardial infarction. This study examined trends in the frequency and sociodemographic and clinical characteristics of patients readmitted to the hospital within 30 days after an initial acute myocardial infarction.
Methods: We reviewed the medical records of 3116 individuals who were hospitalized for a validated first acute myocardial infarction in 6 study periods between 2003 and 2015 at the 3 major medical centers in central Massachusetts.
Background: Among adults with heart disease, there is a high prevalence of concomitant chronic medical conditions. We studied patients with a first acute myocardial infarction to describe: sample population characteristics; trends of the most prevalent pairs of chronic conditions; and differences in hospital management according to burden of these morbidities.
Methods And Results: Patients (n = 1,564) hospitalized with an incident AMI at the 3 major medical centers in central Massachusetts during 2005, 2011, and 2015 comprised the study population.
Background: Scalable and accurate health outcome prediction using electronic health record (EHR) data has gained much attention in research recently. Previous machine learning models mostly ignore relations between different types of clinical data (ie, laboratory components, International Classification of Diseases codes, and medications).
Objective: This study aimed to model such relations and build predictive models using the EHR data from intensive care units.
Background: This study set out to describe age differences in patient's chief complaint related to a first myocardial infarction and how the "typicality" of patient's acute symptoms relates to extent of prehospital delay.
Methods: The medical records of 2586 residents of central Massachusetts hospitalized at 11 greater Worcester medical centers with a first myocardial infarction on a biennial basis between 2001 and 2011 were reviewed.
Results: The average age of the study population was 66.
Background: Improper dosing of medications such as insulin can cause hypoglycemic episodes, which may lead to severe morbidity or even death. Although secure messaging was designed for exchanging nonurgent messages, patients sometimes report hypoglycemia events through secure messaging. Detecting these patient-reported adverse events may help alert clinical teams and enable early corrective actions to improve patient safety.
View Article and Find Full Text PDFFew studies have examined recent trends in the length of stay (LOS) among patients hospitalized with a first uncomplicated acute myocardial infarction (AMI) and the impact of early hospital discharge on various short-term outcomes in these low-risk patients. We used data from 1,501 residents hospitalized with a first uncomplicated AMI from all central Massachusetts medical centers on a biennial basis between 2001 and 2011. The association between hospital LOS and subsequent hospital readmission or death was examined using logistic regression modeling.
View Article and Find Full Text PDFThere are limited contemporary data available describing recent trends in the magnitude and characteristics of patients who are rehospitalized multiple times after hospital discharge for an acute myocardial infarction (AMI). We reviewed the medical records of 4,480 residents of the Worcester, Massachusetts, metropolitan area, who were discharged from 3 Central Massachusetts medical centers after an AMI in 6 biennial periods from 2001 to 2011 and were followed for all-cause and cause-specific hospital readmissions over the subsequent 6 months. The average age of our study population was 68 years, 89% were white, and 41% were women.
View Article and Find Full Text PDFBackground: Limited data exist about relatively recent trends in the magnitude and characteristics of patients who are rehospitalized shortly after admission for a non-ST-segment elevation acute myocardial infarction (NSTEMI). This observational study describes decade-long trends (1999-2009) in the magnitude and characteristics of patients readmitted to the hospital within 30 days of hospitalization for an incident (initial) episode of NSTEMI.
Methods: We reviewed the medical records of 2249 residents of the Worcester (Mass) metropolitan area who were hospitalized for an initial NSTEMI in 6 biennial periods between 1999 and 2009 at 3 central Massachusetts medical centers.
Objectives: The objectives of this community-wide observational study were to describe nearly two decade long (1986-2003) trends in the use of lipid lowering therapy in patients hospitalized with acute myocardial infarction (AMI) and clinical and demographic factors associated with underutilization of this treatment regimen.
Methods: A total of 9429 greater Worcester (MA) residents hospitalized with confirmed AMI at all metropolitan Worcester medical centers in 10 annual periods between 1986 and 2003 comprised the study population. Hospital medical records were reviewed to ascertain the prescribing of lipid lowering agents during hospitalization for AMI.