A Case of Double Inlet Left Ventricle in a 63-Year-Old Female Patient.

This case report describes the medical history and presentation of an elderly patient who was born with single ventricle physiology, an anomaly that is both unique and complex. Patients with single ventricle cardiac anomalies may be susceptible to life-threatening complications. However, advances in medical treatment and understanding have allowed for clinicians to develop surgical and medical interventions to treat patients with univentricular cardiac defects. This case is unique in the sense that the patient has been able to demonstrate remarkable adaptability to this condition and have a sustained life with little intervention. This report serves to explore the pathophysiology of this condition as well as highlight the human body's astounding resilience to configure itself to abnormal conditions. The patient's presentation will be discussed as well as diagnostics and management utilized by the care providers. Despite its rare occurrence, understanding the manifestations of this complex cardiac abnormality can allow future providers to improve the prognosis and outcomes of patients born with a single ventricle.

Analysis of Readmissions in a Mobile Integrated Health Transitional Care Program Using Root Cause Analysis and Common Cause Analysis.

ABSTRACT: Mobile integrated health and community paramedicine (MIH-CP) programs are gaining popularity in the United States as a strategy to address the barriers to healthcare access and appropriate utilization. After one year of operation, leadership of Baltimore City's MIH-CP program was interested in understanding the circumstances surrounding readmission for enrolled patients and to incorporate quality improvement tools to direct program development. Retrospective chart review was performed to determine preventable versus unpreventable readmissions with a hypothesis that deficits in social determinants of health would play a more significant role in preventable readmissions. In the studied population, at least one root cause that can be considered a social determinant of health was present in 75.8% of preventable readmissions versus only 15.2% of unpreventable readmissions. Root Cause Analysis highlighted health literacy, functional status, and behavioral health issues among the root causes that most heavily influence preventable readmissions. Common Cause Analysis results suggest our MIH-CP program should focus its resources on mitigating poor health literacy and functional status. This project's findings successfully directed leadership of the city's MIH-CP program to modify program processes and advocate for the use of these quality improvement tools for other MIH-CP programs.

Predictors of 30-day readmission in patients hospitalized with decompensated heart failure.

BACKGROUND: Heart failure (HF) is the leading cause of hospitalizations and readmissions in the United States. Approximately one-third of patients admitted for HF are readmitted within 3 months; however, there are few markers that can identify those at highest risk for readmission. The purpose of this study was to identify clinical and laboratory markers associated with hospital readmission in decompensated HF. HYPOTHESIS: Clinical and laboratory markers are associated with readmission rates in decompensated HF. METHODS: Clinical and laboratory data from 412 patients admitted with HF were analyzed using a multivariable logistic regression analysis to find predictors of HF readmission by 30 days. RESULTS: HF readmission rates at 30 days were lowest in those with at least 2 of the following discharge criteria: net fluid reduction >1.3 L (odds ratio [OR]: 0.27, P = 0.019), serum sodium level >135 (OR: 0.46, P = 0.034), and N-terminal brain natriuretic peptide level reduction >23% (OR: 0.11, P = 0.048). In multivariate analysis, those patients meeting ≥2 criteria had a very low risk of 30-day readmission (OR: 0.10, 95% confidence interval: 0.01-0.68, P = 0.019) compared to patients who failed to meet 2 criteria. CONCLUSIONS: A negative fluid balance, normal serum sodium, and net reduction in N-terminal brain natriuretic peptide level during hospitalization may be important indices to target to help reduce the likelihood of HF readmission within 30 days.

Detection of coronary calcium during standard chest computed tomography correlates with multi-detector computed tomography coronary artery calcium score.

The correlation between formal coronary artery calcium scoring (CACS) determined by multi-detector CT (MDCT) and the presence of coronary calcium on standard non-gated CT chest examinations was evaluated. In 163 consecutive healthy participants, we performed screening same-day standard non-gated, non-enhanced CT chest exams followed by high-resolution, ECG-synchronized MDCT exams for CACS. For the standard CT examinations, a scoring system (Weston score, range 0-12) was developed assigning a score (0-3) for each coronary vessel including the left main trunk. Overall, 30% and 39% of patients had CAC on standard CT and MDCT exams, respectively (P = 0.13). CAC on standard CT was highly correlated to the Agatston CACS on the MDCT (Spearman correlation coefficient 0.83, P < 0.001). Absence of calcium on the standard CT exam was associated with a very low CACS (mean Agatston 0.5, range 0-19). A Weston score >2 identified a CACS > 100 with an area under the curve of 0.976, sensitivity of 100%, and specificity of 85%. A Weston score >7 identified a CACS > 400 with an area under the curve of 0.991, sensitivity of 100%, specificity of 98%. The intra-observer variability was low as was the inter-observer variability between a cardiac specialized radiologist and a non-specialized reader. A visual coronary artery scoring system on standard, non-gated CT correlates well with traditional methods for CACS. Further, a non-expert cardiac radiologist performed equally well to a cardiac expert. This information suggests that a visual scoring system, at least in a descriptive manner can be utilized for a general statement about coronary artery calcification seen on standard CT imaging to guide clinicians in risk stratification.