The use of veno-arterial extracorporeal membrane oxygenation in the octogenarian population: A single-center experience.

INTRODUCTION: Advanced age is a known risk factor for poor outcomes after veno-arterial extracorporeal membrane oxygenation (V-A ECMO) for cardiac support. The use of ECMO support in patients over the age of 80 is controversial, and sometimes its use is contraindicated. We aimed to assess the use of ECMO in octogenarian patients to determine survival and complication rates. METHODS: A single-center, retrospective analysis was completed at a large, urban academic medical center. Patients requiring V-A ECMO support between December of 2012 and November of 2019 were included as long as the patient was at least 80 years of age at the time of cannulation. Post cardiotomy shock patients were excluded. RESULTS: A total of 46 patients met eligibility criteria; all received V-A ECMO support. Overall, the majority of patients (71.7%; 33/46) survived to decannulation, and 43.5% (20/46) survived to discharge. Patients who were previously rescued from percutaneous interventions tend to have a better survival than other patients (p = .06). The most common complications were renal and hemorrhagic. CONCLUSIONS: We demonstrated that advanced age alone should not disqualify patients from cannulating and supporting with V-A ECMO.

A Nurse's Guide to COVID-19.

ABSTRACT: To assist nurses caring for hospitalized adults with coronavirus disease 2019 (COVID-19), the authors synthesize evidence-based information on the disease, providing background on the epidemiology and history of severe acute respiratory syndrome coronavirus 2, the causative virus. They also discuss the risks for severe effects of the illness, the multiple signs and symptoms hospitalized adults with COVID-19 may manifest, and the precautions hospitals should take to keep health care providers and patients safe during the course of this pandemic.

Unit cost of counseling and patients length of stay in a residential drug treatment setting.

BACKGROUND: Many published reports on cost of counseling give a fixed cost per hour of service. These estimates may be flawed. AIMS OF THE STUDY: The purpose of this study is to show, by way of an example, how cost of an hour of counseling depends on the nature of the patient, in general, and length of the patient s stay, in particular. Even though the health care professional provides the same hour of work, the cost of the hour is different for short-stay and long-stay patients. METHODS: We identified 5-short and 5 long stay patients in a residential treatment program. For each group, we asked the counselors to review the medical records and measure the patients utilization of various service units. We estimated the cost of a unit of service by dividing cost of an average patient by the program utilization of short and long-stay patients. RESULTS: The cost of an hour of counseling for long stay patients was 2/3 less than the cost of short-stay patients. Similar large changes in unit cost of treatment were observed for cost of group counseling or other components of substance abuse treatment. DISCUSSION: Our data was limited to one case study and may not indicate similar patterns in other treatment programs. The paper suggests that methods of studying cost of treatment should be adjusted to reflect case mix of patients and their expected length of stay. IMPLICATIONS FOR HEALTH POLICIES: Our analysis shows that higher rates should be set for patients at risk for short stays; conversely lower rates should be set for patients likely to complete treatment. Without adjusting the rate for the case mix of patients, health care institutions have an incentive to avoid the difficult cases and concentrate on long stay cases. IMPLICATIONS FOR FURTHER RESEARCH: A number of instruments that measure severity of illness or difficulty of treatment can be used to anticipate patients length of stay. Then the rate for units of treatment can be set based on patients expected length of stay. This paper presents a questionnaire that can be used to collect cost data and estimate cost per unit of treatment adjusted for expected length of stay.