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1.
Int J Infect Dis ; 118: 214-219, 2022 May.
Artículo en Inglés | MEDLINE | ID: mdl-35248718

RESUMEN

OBJECTIVES: This study aimed to assess the processes and clinical outcomes of a joint collaboration between Antimicrobial Stewardship Program (ASP) and the outpatient parenteral antimicrobial therapy (OPAT) unit for delivery of monoclonal antibody therapy for mild-to-moderate COVID-19. METHODS: We carried out a retrospective, interim analysis of our COVID-19 monoclonal antibody therapy program. Outcomes included clinical response, incidence of hospitalization, and adverse events. RESULTS: A total of 175 patients (casirivimab-imdevimab, n = 130; bamlanivimab, n = 45) were treated between December 2020 and March 1, 2021. The median time from symptom onset was 6 (IQR 4, 8) days at time of treatment. Of 135 patients available for follow-up, 71.9% and 85.9% of patients reported symptom improvement within 3 and 7 days of treatment, respectively. A total of 9 (6.7%) patients required COVID-19-related hospitalization for progression of symptoms, all within 14 days of treatment. A total of 7 (4%) patients experienced an infusion-related reaction. CONCLUSIONS: ASP-OPAT collaboration is a novel approach to implement an efficient and safe monoclonal antibody therapy program for the treatment of mild-to-moderate COVID-19.


Asunto(s)
Antiinfecciosos , Programas de Optimización del Uso de los Antimicrobianos , Tratamiento Farmacológico de COVID-19 , Antibacterianos/uso terapéutico , Antiinfecciosos/uso terapéutico , Anticuerpos Monoclonales/uso terapéutico , Anticuerpos Monoclonales Humanizados , Anticuerpos Neutralizantes , Hospitales , Humanos , Pacientes Ambulatorios , Estudios Retrospectivos
2.
Chest ; 143(4): 910-919, 2013 Apr.
Artículo en Inglés | MEDLINE | ID: mdl-23632902

RESUMEN

BACKGROUND: Although 1.4 million elderly Americans survive hospitalization involving intensive care annually, many are at risk for early mortality following discharge. No models that predict the likelihood of death after discharge exist explicitly for this population. Therefore, we derived and externally validated a 6-month postdischarge mortality prediction model for elderly ICU survivors. METHODS: We derived the model from medical record and claims data for 1,526 consecutive patients aged ≥ 65 years who had their first medical ICU admission in 2006 to 2009 at a tertiary-care hospital and survived to discharge (excluding those patients discharged to hospice). We then validated the model in 1,010 patients from a different tertiary-care hospital. RESULTS: Six-month mortality was 27.3% and 30.2% in the derivation and validation cohorts, respectively. Independent predictors of mortality (in descending order of contribution to the model's predictive power) were a do-not-resuscitate order, older age, burden of comorbidity, admission from or discharge to a skilled-care facility, hospital length of stay, principal diagnoses of sepsis and hematologic malignancy, and male sex. For the derivation and external validation cohorts, the area under the receiver operating characteristic curve was 0.80 (SE, 0.01) and 0.71 (SE, 0.02), respectively, with good calibration for both (P = 0.31 and 0.43). CONCLUSIONS: Clinical variables available at hospital discharge can help predict 6-month mortality for elderly ICU survivors. Variables that capture elements of frailty, disability, the burden of comorbidity, and patient preferences regarding resuscitation during the hospitalization contribute most to this model's predictive power. The model could aid providers in counseling elderly ICU survivors at high risk of death and their families.


Asunto(s)
Enfermedad Crítica/mortalidad , Unidades de Cuidados Intensivos/estadística & datos numéricos , Modelos Estadísticos , Alta del Paciente/estadística & datos numéricos , Factores de Edad , Anciano , Anciano de 80 o más Años , Comorbilidad , Femenino , Humanos , Tiempo de Internación/estadística & datos numéricos , Masculino , Pronóstico , Órdenes de Resucitación , Estudios Retrospectivos , Factores de Riesgo , Factores Sexuales , Factores de Tiempo
3.
J Palliat Med ; 16(5): 531-6, 2013 May.
Artículo en Inglés | MEDLINE | ID: mdl-23621707

RESUMEN

BACKGROUND: Effective communication is essential for shared decision making with families of critically ill patients in the intensive care unit (ICU), yet there is limited evidence on effective strategies to teach these skills. OBJECTIVE: The study's objective was to pilot test an educational intervention to teach internal medicine interns skills in discussing goals of care and treatment decisions with families of critically ill patients using the shared decision making framework. DESIGN: The intervention consisted of a PowerPoint online module followed by a four-hour workshop implemented at a retreat for medicine interns training at an urban, academic medical center. MEASUREMENTS: Participants (N=33) completed post-intervention questionnaires that included self-assessed skills learned, an open-ended question on the most important learning points from the workshop, and retrospective pre- and post-workshop comfort level with ICU communication skills. Participants rated their satisfaction with the workshop. RESULTS: Twenty-nine interns (88%) completed the questionnaires. Important self-assessed communication skills learned reflect key components of shared decision making, which include assessing the family's understanding of the patient's condition (endorsed by 100%) and obtaining an understanding of the patient/family's perspectives, values, and goals (100%). Interns reported significant improvement in their comfort level with ICU communication skills (pre 3.26, post 3.73 on a five-point scale, p=0.004). Overall satisfaction with the intervention was high (mean 4.45 on a five-point scale). CONCLUSIONS: The findings suggest that a brief intervention designed to teach residents communication skills in conducting goals of care and treatment discussions in the ICU is feasible and can improve their comfort level with these conversations.


Asunto(s)
Comunicación , Enfermedad Crítica/terapia , Toma de Decisiones , Capacitación en Servicio , Medicina Interna/educación , Internado y Residencia , Adulto , Femenino , Humanos , Unidades de Cuidados Intensivos , Masculino , Proyectos Piloto , Encuestas y Cuestionarios
4.
Prog Transplant ; 19(3): 216-20, 2009 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-19813482

RESUMEN

Using lessons learned from the US Department of Health and Human Services National Donation Breakthrough Collaborative, New York-Presbyterian Healthcare System (NYPHS) partnered with 5 donor service areas covering its member hospitals to improve donation across the system. By integrating established communication networks with the "spread" techniques of the Breakthrough Collaborative, the NYPHS identified hospital champions and best practices and established standardized outcome metrics. The improvements that resulted were a sustained increase of 40.23% in consent rate and an initial 41.7% increase in conversion rate during the first 6 months, although that conversion rate was not sustainable. During the 8 measured periods, 21 hospitals met or exceeded the 75% conversion rate during 1 or more quarters. NYPHS was able to spread these successes and outcome metrics through its established communication networks of quarterly report cards, regular senior leader meetings, and real-time access to a secure member-only Web site, thus keeping organ and tissue donation at the forefront of hospital leaders' priorities.


Asunto(s)
Benchmarking/organización & administración , Sistemas Multiinstitucionales/organización & administración , Guías de Práctica Clínica como Asunto , Obtención de Tejidos y Órganos/organización & administración , Gestión de la Calidad Total/organización & administración , Comunicación , Conducta Cooperativa , Humanos , Consentimiento Informado/estadística & datos numéricos , Relaciones Interinstitucionales , New York , Cultura Organizacional , Objetivos Organizacionales , Evaluación de Programas y Proyectos de Salud , Derivación y Consulta/estadística & datos numéricos , Análisis de Sistemas , Listas de Espera
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