Faculty Bibliography

Screening for depression is paramount to identify patients with depression and link them to care, yet only 29% of patients in the primary care center (PCC) were screened for depression in 2016. A baseline survey identified provider barriers to depression screening, including lack of time, support staff, and referral resources. The purpose of this project was to increase depression screening in the PCC using the Patient Health Questionnaire (PHQ-2/9). The authors created an educational program for staff and providers that included referral resources, treatment guidelines, and a decision-support tool in the electronic medical record. A retrospective chart review was performed, from January 2016 to June 2017, to determine the percentage of patients who received annual depression screening. During the program, the PCC saw an increase in depression screening rates. Thus, it is possible to overcome barriers to depression screening in a primary care setting by providing resources and education to clinicians.

Background: Gastric cancer is the third most common cause of cancer death worldwide. In the US, gastric cancer incidence for Chinese Americans is nearly twice that for non-Hispanic whites. Cancer is the leading cause of death among Chinese New Yorkers who experience higher mortality for gastric cancer than other New Yorkers overall. The bacterium Helicobacter pylori (H. pylori) is the strongest risk factor for gastric cancer, and eradication of H. pylori through triple antibiotic therapy is the most effective prevention strategy for gastric cancer. Despite the elevated burden, there are no culturally and linguistically tailored evidence-based intervention strategies to address H. pylori medication adherence and gastric cancer prevention for Chinese Americans in NYC, a largely foreign-born (72%), limited English proficient (61%), and low-income (21% living in poverty) population.
Objective(s): The study objective was to develop and pilot a community health worker (CHW)-delivered linguistically and culturally adapted gastric cancer prevention intervention to improve H. pylori treatment adherence and address modifiable cancer prevention risk factors, including improved nutrition for low-income, LEP, Chinese American immigrants.
Method(s): We used a mixed methods and community-engaged research approach to develop and pilot the intervention curriculum and materials. Methods included: 1) a comprehensive scoping review of the peer-reviewed and grey literature on gastric cancer prevention programs and strategies targeting Chinese Americans; 2) 15 key informant interviews with gatekeepers and stakeholders serving the New York Chinese immigrant community to assess the knowledge and perception of H. pylori infection and gastric cancer among Chinese New Yorkers; and 3) pilot implementation of the collaboratively developed intervention with H. pylori-infected LEP Chinese immigrant participants (n=7).
Result(s): Study process findings and pilot results will be presented. Preliminary results indicate high patient- and community-level need and acceptability for the intervention. Baseline and 1-month post-treatment outcomes and survey data, qualitative data analysis of the CHW session notes, and key informant interviews will be presented.
Conclusion(s): Findings suggest that a CHW-delivered culturally adapted gastric cancer prevention intervention can result in meaningful health information and treatment adherence for at-risk, low-income Chinese immigrant communities. Study findings are being applied to inform a randomized controlled trial being implemented in safety net hospital settings

BACKGROUND:Atrioventricular nodal reentrant tachycardia (AVNRT) is treatable by catheter ablation. Advances in mapping-system technology permit fluoroless workflow during ablations. As national practice trends toward fluoroless approaches, easily obtained, reproducible methods of slow-pathway identification and ablation become increasingly important. We present a novel method of slow-pathway identification and initial ablation results from this method. METHODS AND RESULTS/RESULTS:We examined AVNRT ablations performed at our institution over a 12-month period. In these cases, the site of the slow pathway was predicted by latest activation in the inferior triangle of Koch during sinus rhythm. Ablation was performed in this region. Proximity of the predicted site to the successful ablation location, complication rates, and patient outcomes were recorded. Junctional rhythm was seen in 40/41 ablations (98%) at the predicted site (mean, 1.3 lesions and median, 1 lesion per case). One lesion was defined as 5mm of ablation. The initial ablation was successful in 39/41 cases (95%); in 2 cases, ≥2 echo beats were detected after the initial ablation, necessitating further lesion expansion. In 8/41 cases (20%), >1 lesion was placed during initial ablation before attempted reinduction. Complications included 1 transient heart block and 1 transient PR prolongation. During follow up (median, day 51), 1 patient had lower-extremity deep-vein thrombosis and pulmonary embolus, and 1 had a lower-extremity superficial venous thrombosis. There was 1 tachycardia recurrence, which prompted a redo ablation. CONCLUSIONS:Mapping-system detection of late-activation, low-amplitude voltage during sinus rhythm provides an objective, fluoroless means of identifying the slow pathway in typical AVNRT. This article is protected by copyright. All rights reserved.

In their relative infancy, intragastric balloons (IGB) offer a solution to patients who do not qualify for bariatric surgery due to their body mass index (BMI) or those reticent about major surgery with a promise of 10-15% of total body weight loss (TBWL%). Given a short implantation period of 6 months, weight regain following IGB removal has been commonly noted. This caveat prompted analysis of the addition of weight loss medications for improved efficacy in achieving sustained weight loss results post-IGB removal. In a single-center retrospective analysis from 2015 to 2018, 18 patients (mean age 39.72, 5 males, 13 females) with a saline-filled single intragastric balloon were evaluated for 12 months following IGB insertion. Exactly half of the patients (n=9) were on weight loss medications before, during, or after placement of IGB (IGB-M cohort) to compare to patients with IGBs only (IGB-O cohort). All patients were >18 years old, non-pregnant, and with no previous bariatric surgeries. Data was collected at 0, 3, 6, and 12 month intervals. Mean weight at baseline was 198.33lbs and 223lbs (p=0.814) and mean BMI was 32.79 kg/m2 versus 35.5 kg/m2 (p=0.546), in the IGB-O cohort versus the IGB-M cohort, respectively. At six months, the TBWL% in the IGB-O cohort versus the IGB-M cohort was 12.7% versus 13.1%, while mean BMI was 28.42 versus 31.62 (p=0.645), respectively. Attrition rate was 11.1% by 6 months and 72.2% by 12 months for both cohorts combined. At 12 months, TBWL% in the IGB-O cohort versus IGB-M cohort was 2.8% and 10.7%, while mean BMI was 33.77 and 29.17 (p=0.4), respectively. The most common class of medications utilized were glucagon-like peptide-1 (GLP-1) agonists (37.5%). Phentermine was the single most commonly prescribed medication (25%). The mean number of medications needed for a patient was 1.8. The TBWL% at six months demonstrated a slightly greater 0.4 TBWL% in the IGB-M cohort. This meant weight loss achieved with a balloon or weight loss pharmacotherapy was essentially equivalent in our study at the time of IGB removal at 6 months. However, a stark variance is noted at the 12 month mark in the IGB-O cohort with patients either partially regaining their previously lost weight or losing marginally further with a mean 2.8 TBWL% post IGB removal. Comparatively, the IGB-M cohort patients continued their weight loss or maintained their initial weight loss with a 10.7% TBWL creating a 7.9 TBWL% difference at the 12 month follow up between the two arms. Administration of medications might increase follow-up post IGB removal and decrease attrition rates. Results illustrate a two-pronged approach of combining weight loss medications with IGBs would culminate in a more clinically significant TBWL% with long term sustainability post IGB removal. Larger multi-center studies are recommended in order to achieve significant conclusions. [Formula presented] [Formula presented]
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RATIONALE OBJECTIVES/UNASSIGNED:Excess z-axis scanning continues as an unnecessary source of radiation. This study seeks to determine patient, technologist and CT factors that affect excess scan length for chest CT. MATERIALS AND METHODS/METHODS:Retrospective evaluation of 1118 consecutive noncontrast chest CT scans, over twelve consecutive months, was performed for evaluation of scan length above and below the lung parenchyma. Scan length >2 cm was considered excessive. Bivariate analysis for mean excess scan length and presence of excess scan length analyzed technologist's exam volume during the study period, patient age, patient gender, day of week, and time of day as categorical variables. Technologists performing >100 chest CT scans during the study period were considered high-volume while all others were considered low-volume. RESULTS:Mean excess scan length was 5 mm, 29 mm, and 33 mm above the lungs, below the lungs, and total. 81% and 95% of studies had excess scanning above the lungs and below the lungs respectively. Multivariable analysis showed that high volume technologists, male patients, and patients younger than 65 had a greater amount of excess scan length and presence of excessive scanning above the lungs; high volume technologists and male patients had a greater amount of excess scan length below the lungs, and high volume technologists and patients older than 65 had greater presence of excessive scanning below the lungs, each p < 0.001. CONCLUSIONS:Excess scanning on chest CT is common, varies by patient age and gender and was significantly greater for high volume technologists.

Importance/UNASSIGNED:There is limited information describing the presenting characteristics and outcomes of US patients requiring hospitalization for coronavirus disease 2019 (COVID-19). Objective/UNASSIGNED:To describe the clinical characteristics and outcomes of patients with COVID-19 hospitalized in a US health care system. Design, Setting, and Participants/UNASSIGNED:Case series of patients with COVID-19 admitted to 12 hospitals in New York City, Long Island, and Westchester County, New York, within the Northwell Health system. The study included all sequentially hospitalized patients between March 1, 2020, and April 4, 2020, inclusive of these dates. Exposures/UNASSIGNED:Confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection by positive result on polymerase chain reaction testing of a nasopharyngeal sample among patients requiring admission. Main Outcomes and Measures/UNASSIGNED:Clinical outcomes during hospitalization, such as invasive mechanical ventilation, kidney replacement therapy, and death. Demographics, baseline comorbidities, presenting vital signs, and test results were also collected. Results/UNASSIGNED:A total of 5700 patients were included (median age, 63 years [interquartile range {IQR}, 52-75; range, 0-107 years]; 39.7% female). The most common comorbidities were hypertension (3026; 56.6%), obesity (1737; 41.7%), and diabetes (1808; 33.8%). At triage, 30.7% of patients were febrile, 17.3% had a respiratory rate greater than 24 breaths/minute, and 27.8% received supplemental oxygen. The rate of respiratory virus co-infection was 2.1%. Outcomes were assessed for 2634 patients who were discharged or had died at the study end point. During hospitalization, 373 patients (14.2%) (median age, 68 years [IQR, 56-78]; 33.5% female) were treated in the intensive care unit care, 320 (12.2%) received invasive mechanical ventilation, 81 (3.2%) were treated with kidney replacement therapy, and 553 (21%) died. Mortality for those requiring mechanical ventilation was 88.1%. The median postdischarge follow-up time was 4.4 days (IQR, 2.2-9.3). A total of 45 patients (2.2%) were readmitted during the study period. The median time to readmission was 3 days (IQR, 1.0-4.5) for readmitted patients. Among the 3066 patients who remained hospitalized at the final study follow-up date (median age, 65 years [IQR, 54-75]), the median follow-up at time of censoring was 4.5 days (IQR, 2.4-8.1). Conclusions and Relevance/UNASSIGNED:This case series provides characteristics and early outcomes of sequentially hospitalized patients with confirmed COVID-19 in the New York City area.

Background Heart failure poses a significant burden on health care and economy. In recent years, diastolic dysfunction has been increasingly recognized as a significant predictor of readmission in heart failure patients. Objectives We aimed to identify factors predicting readmission in patients with clinical heart failure at 30 days and six months. Methods A retrospective chart review was performed at a single urban medical center, including 208 patients in our final analysis. Results A higher Charlson comorbidity index (CCI) and moderate anemia (hemoglobin [Hb] < 10 g/dL) were significant predictors of readmission at both 30 days and six months. In addition, advanced chronic kidney disease (CKD) stage (4 or 5) and follow-up in a cardiology clinic were significant predictors at six months. During multivariate analysis, worsening diastolic dysfunction (grade 3 or 4) (OR: 2.09; 95% CI: 1.03 to 4.23), higher CCI (OR: 1.18; 95% CI: 1.03-1.36), and Hb < 10 g/dL (OR: 3.42; 95% CI: 1.44-8.13) were independent predictors of readmission at 30 days. Higher CCI (OR: 1.37; 95% CI: 1.19-1.58) and CKD stage 4 or 5 (OR: 3.05; 95% CI: 1.40-6.62) were independent predictors of readmission at six months. Conclusions Worse diastolic dysfunction (grade 3 or 4) was a significant predictor of all-cause readmission at 30 days post-discharge in heart failure patients. Higher CCI precisely predicted readmission as an independent variable at 30 days and six months. Anemia (Hb < 10 g/dL) and CKD stage 4 or 5 were significant predictors of readmission at 30-days and six months, respectively.

OBJECTIVE:To describe outcomes of people admitted to hospital with coronavirus disease 2019 (covid-19) in the United States, and the clinical and laboratory characteristics associated with severity of illness. DESIGN/METHODS:Prospective cohort study. SETTING/METHODS:Single academic medical center in New York City and Long Island. PARTICIPANTS/METHODS:5279 patients with laboratory confirmed severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) infection between 1 March 2020 and 8 April 2020. The final date of follow up was 5 May 2020. MAIN OUTCOME MEASURES/METHODS:Outcomes were admission to hospital, critical illness (intensive care, mechanical ventilation, discharge to hospice care, or death), and discharge to hospice care or death. Predictors included patient characteristics, medical history, vital signs, and laboratory results. Multivariable logistic regression was conducted to identify risk factors for adverse outcomes, and competing risk survival analysis for mortality. RESULTS:Of 11 544 people tested for SARS-Cov-2, 5566 (48.2%) were positive. After exclusions, 5279 were included. 2741 of these 5279 (51.9%) were admitted to hospital, of whom 1904 (69.5%) were discharged alive without hospice care and 665 (24.3%) were discharged to hospice care or died. Of 647 (23.6%) patients requiring mechanical ventilation, 391 (60.4%) died and 170 (26.2%) were extubated or discharged. The strongest risk for hospital admission was associated with age, with an odds ratio of >2 for all age groups older than 44 years and 37.9 (95% confidence interval 26.1 to 56.0) for ages 75 years and older. Other risks were heart failure (4.4, 2.6 to 8.0), male sex (2.8, 2.4 to 3.2), chronic kidney disease (2.6, 1.9 to 3.6), and any increase in body mass index (BMI) (eg, for BMI >40: 2.5, 1.8 to 3.4). The strongest risks for critical illness besides age were associated with heart failure (1.9, 1.4 to 2.5), BMI >40 (1.5, 1.0 to 2.2), and male sex (1.5, 1.3 to 1.8). Admission oxygen saturation of <88% (3.7, 2.8 to 4.8), troponin level >1 (4.8, 2.1 to 10.9), C reactive protein level >200 (5.1, 2.8 to 9.2), and D-dimer level >2500 (3.9, 2.6 to 6.0) were, however, more strongly associated with critical illness than age or comorbidities. Risk of critical illness decreased significantly over the study period. Similar associations were found for mortality alone. CONCLUSIONS:Age and comorbidities were found to be strong predictors of hospital admission and to a lesser extent of critical illness and mortality in people with covid-19; however, impairment of oxygen on admission and markers of inflammation were most strongly associated with critical illness and mortality. Outcomes seem to be improving over time, potentially suggesting improvements in care.

BACKGROUND:Community transmission of coronavirus 2019 (Covid-19) was detected in the state of Washington in February 2020. METHODS:We identified patients from nine Seattle-area hospitals who were admitted to the intensive care unit (ICU) with confirmed infection with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Clinical data were obtained through review of medical records. The data reported here are those available through March 23, 2020. Each patient had at least 14 days of follow-up. RESULTS:We identified 24 patients with confirmed Covid-19. The mean (±SD) age of the patients was 64±18 years, 63% were men, and symptoms began 7±4 days before admission. The most common symptoms were cough and shortness of breath; 50% of patients had fever on admission, and 58% had diabetes mellitus. All the patients were admitted for hypoxemic respiratory failure; 75% (18 patients) needed mechanical ventilation. Most of the patients (17) also had hypotension and needed vasopressors. No patient tested positive for influenza A, influenza B, or other respiratory viruses. Half the patients (12) died between ICU day 1 and day 18, including 4 patients who had a do-not-resuscitate order on admission. Of the 12 surviving patients, 5 were discharged home, 4 were discharged from the ICU but remained in the hospital, and 3 continued to receive mechanical ventilation in the ICU. CONCLUSIONS:During the first 3 weeks of the Covid-19 outbreak in the Seattle area, the most common reasons for admission to the ICU were hypoxemic respiratory failure leading to mechanical ventilation, hypotension requiring vasopressor treatment, or both. Mortality among these critically ill patients was high. (Funded by the National Institutes of Health.).