A Simple Scoring Tool to Predict Medical Intensive Care Unit Readmissions Based on Both Patient and Process Factors.

BACKGROUND: Although many predictive models have been developed to risk assess medical intensive care unit (MICU) readmissions, they tend to be cumbersome with complex calculations that are not efficient for a clinician planning a MICU discharge. OBJECTIVE: To develop a simple scoring tool that comprehensively takes into account not only patient factors but also system and process factors in a single model to predict MICU readmissions. DESIGN: Retrospective chart review. PARTICIPANTS: We included all patients admitted to the MICU of Robert Wood Johnson University Hospital, a tertiary care center, between June 2016 and May 2017 except those who were < 18 years of age, pregnant, or planned for hospice care at discharge. MAIN MEASURES: Logistic regression models and a scoring tool for MICU readmissions were developed on a training set of 409 patients, and validated in an independent set of 474 patients. KEY RESULTS: Readmission rate in the training and validation sets were 8.8% and 9.1% respectively. The scoring tool derived from the training dataset included the following variables: MICU admission diagnosis of sepsis, intubation during MICU stay, duration of mechanical ventilation, tracheostomy during MICU stay, non-emergency department admission source to MICU, weekend MICU discharge, and length of stay in the MICU. The area under the curve of the scoring tool on the validation dataset was 0.76 (95% CI, 0.68-0.84), and the model fit the data well (Hosmer-Lemeshow p = 0.644). Readmission rate was 3.95% among cases in the lowest scoring range and 50% in the highest scoring range. CONCLUSION: We developed a simple seven-variable scoring tool that can be used by clinicians at MICU discharge to efficiently assess a patient's risk of MICU readmission. Additionally, this is one of the first studies to show an association between MICU admission diagnosis of sepsis and MICU readmissions.

Heart Rate Variability Biofeedback Does Not Substitute for Asthma Steroid Controller Medication.

Despite previous findings of therapeutic effects for heart rate variability biofeedback (HRVB) on asthma, it is not known whether HRVB can substitute either for controller or rescue medication, or whether it affects airway inflammation. Sixty-eight paid volunteer steroid naïve study participants with mild or moderate asthma were given 3 months of HRVB or a comparison condition consisting of EEG alpha biofeedback with relaxing music and relaxed paced breathing (EEG+), in a two-center trial. All participants received a month of intensive asthma education prior to randomization. Both treatment conditions produced similar significant improvements on the methacholine challenge test (MCT), asthma symptoms, and asthma quality of life (AQOL). MCT effects were of similar size to those of enhanced placebo procedures reported elsewhere, and were 65% of those of a course of a high-potency inhaled steroid budesonide given to a sub-group of participants following biofeedback training. Exhaled nitric oxide decreased significantly only in the HRVB group, 81% of the budesonide effect, but with no significant differences between groups. Participants reported becoming more relaxed during practice of both techniques. Administration of albuterol after biofeedback sessions produced a large improvement in pulmonary function test results, indicating that neither treatment normalized pulmonary function as a potent controller medication would have done. Impulse oscillometry showed increased upper airway (vocal cord) resistance during biofeedback periods in both groups. These data suggest that HRVB should not be considered an alternative to asthma controller medications (e.g., inhaled steroids), although both biofeedback conditions produced some beneficial effects, warranting further research, and suggesting potential complementary effects. Various hypotheses are presented to explain why HRVB effects on asthma appeared smaller in this study than in earlier studies. Clinical Trial Registration NCT02766374.

An official American Thoracic Society policy statement: managing conscientious objections in intensive care medicine.

RATIONALE: Intensive care unit (ICU) clinicians sometimes have a conscientious objection (CO) to providing or disclosing information about a legal, professionally accepted, and otherwise available medical service. There is little guidance about how to manage COs in ICUs. OBJECTIVES: To provide clinicians, hospital administrators, and policymakers with recommendations for managing COs in the critical care setting. METHODS: This policy statement was developed by a multidisciplinary expert committee using an iterative process with a diverse working group representing adult medicine, pediatrics, nursing, patient advocacy, bioethics, philosophy, and law. MAIN RESULTS: The policy recommendations are based on the dual goals of protecting patients' access to medical services and protecting the moral integrity of clinicians. Conceptually, accommodating COs should be considered a "shield" to protect individual clinicians' moral integrity rather than as a "sword" to impose clinicians' judgments on patients. The committee recommends that: (1) COs in ICUs be managed through institutional mechanisms, (2) institutions accommodate COs, provided doing so will not impede a patient's or surrogate's timely access to medical services or information or create excessive hardships for other clinicians or the institution, (3) a clinician's CO to providing potentially inappropriate or futile medical services should not be considered sufficient justification to forgo the treatment against the objections of the patient or surrogate, and (4) institutions promote open moral dialogue and foster a culture that respects diverse values in the critical care setting. CONCLUSIONS: This American Thoracic Society statement provides guidance for clinicians, hospital administrators, and policymakers to address clinicians' COs in the critical care setting.

Quality improvement and cost savings after implementation of the Leapfrog intensive care unit physician staffing standard at a community teaching hospital.

BACKGROUND: Prior studies have shown that implementation of the Leapfrog intensive care unit physician staffing standard of dedicated intensivists providing 24-hr intensive care unit coverage reduces length of stay and in-hospital mortality. A theoretical model of the cost-effectiveness of intensive care unit physician staffing patterns has also been published, but no study has examined the actual cost vs. cost savings of such a program. OBJECTIVE: To determine whether improved outcomes in specific quality measures would result in an overall cost savings in patient care DESIGN: Retrospective, 1 yr before-after cohort study SETTING: A 15-bed mixed medical-surgical community intensive care unit PATIENTS: A total of 2,181 patients: 1,113 patients preimplementation and 1,068 patients postimplementation. INTERVENTION: Leapfrog intensive care unit physician staffing standard MEASUREMENTS: Intensive care unit and hospital length of stay, rates for ventilator-associated pneumonia and central venous access device infection, and cost of care. RESULTS: Following institution of the intensive care unit physician staffing, the mean intensive care unit length of stay decreased significantly from 3.5±8.9 days to 2.7±4.7 days, (p<.002). The frequency of ventilator-associated pneumonia fell from 8.1% to 1.3% (p<.0002) after intervention. Ventilator-associated pneumonia rate per 100 ventilator days decreased from 1.03 to 0.38 (p<.0002). After intervention, the frequency of the central venous access device infection events fell from 9.4% to 1.1% (p<.0002). Central venous access device infection rate per 1000 line days decreased from 8.49 to 1.69. The net savings for the hospital were $744,001. The 1-yr institutional return on investment from intensive care unit physician staffing was 105%. CONCLUSIONS: Implementation of the Leapfrog intensive care unit physician staffing standard significantly reduced intensive care unit length of stay and lowered the prevalence of ventilator-associated pneumonia and central venous access device infection. A cost analysis yielded a 1-yr institutional return on investment of 105%. Our study confirms that implementation of the Leapfrog intensive care unit physician staffing model in the community hospital setting improves quality measures and is economically feasible.

Unique features of obstructive sleep apnea in World Trade Center responders with aerodigestive disorders.

OBJECTIVES: To compare obstructive sleep apnea (OSA) in World Trade Center (WTC) responders with aerodigestive disorders and snoring with non-WTC habitual snorers, and to distinguish features of OSA in a subset of responders with worsening of snoring after 9/11 from responders with previous habitual snoring. METHODS: Cross-sectional comparative study of 50 WTC Medical Monitoring and Treatment Program responders with aerodigestive disorders and snoring and 50 nonresponders with snoring. Responders with worsening of snoring after 9/11 were compared with previous habitual snorers. RESULTS: : While there was a strong correlation between body mass index (BMI), weight, and Apnea + Hypopnea Index (r = 0.36, P = 0.001; r = 0.29, P = 0.044) in the nonresponders, no correlation between either BMI or weight and Apnea + Hypopnea Index was found in the responders. Responders with worsening of snoring after 9/11 had a significantly lower BMI than previous habitual snorers. CONCLUSION: Mechanisms other than obesity are important in the pathogenesis of OSA in WTC responders with aerodigestive disorders.

Heart rate variability biofeedback: effects of age on heart rate variability, baroreflex gain, and asthma.

OBJECTIVES: To present additional analysis of data from a previously published study showing that biofeedback training to increase heart rate variability (HRV) can be an effective component in asthma treatment. HRV and intervention-related changes in HRV are negatively correlated with age. Here we assess the effects of age on biofeedback effects for asthma. DESIGN: Ten sessions of HRV biofeedback were administered to 45 adults with asthma. Medication was prescribed by blinded physicians according to National Heart, Lung, and Blood Institute criteria. Medication needs were reassessed biweekly. RESULTS: Decreases in need for controller medication were independent of age. There were larger acute decreases in forced oscillation frequency dependence in the older group but larger increases in HRV variables in the younger group. Differences between age groups were smaller among subjects trained in pursed-lips abdominal breathing as well as biofeedback, than among those receiving only biofeedback. CONCLUSIONS: Age-related attenuation of biofeedback effects on cardiovascular variability does not diminish the usefulness of the method for treating asthma among older patients. Additional training in pursed-lips abdominal breathing obliterates the effects of age on HRV changes during biofeedback.

Biofeedback treatment for asthma.

STUDY OBJECTIVES: We evaluated the effectiveness of heart rate variability (HRV) biofeedback as a complementary treatment for asthma. PATIENTS: Ninety-four adult outpatient paid volunteers with asthma. SETTING: The psychophysiology laboratory at The University of Medicine and Dentistry of New Jersey-Robert Wood Johnson Medical School, and the private outpatient offices of participating asthma physicians. INTERVENTIONS: The interventions were as follows: (1) a full protocol (ie, HRV biofeedback and abdominal breathing through pursed lips and prolonged exhalation); (2) HRV biofeedback alone; (3) placebo EEG biofeedback; and (4) a waiting list control. DESIGN: Subjects were first prestabilized using controller medication and then were randomly assigned to experimental groups. Medication was titrated biweekly by blinded asthma specialists according to a protocol based on National Heart, Lung, and Blood Institute guidelines, according to symptoms, spirometry, and home peak flows. MEASUREMENTS: Subjects recorded daily asthma symptoms and twice-daily peak expiratory flows. Spirometry was performed before and after each weekly treatment session under the HRV and placebo biofeedback conditions, and at triweekly assessment sessions under the waiting list condition. Oscillation resistance was measured approximately triweekly. RESULTS: Compared with the two control groups, subjects in both of the two HRV biofeedback groups were prescribed less medication, with minimal differences between the two active treatments. Improvements averaged one full level of asthma severity. Measures from forced oscillation pneumography similarly showed improvement in pulmonary function. A placebo effect influenced an improvement in asthma symptoms, but not in pulmonary function. Groups did not differ in the occurrence of severe asthma flares. CONCLUSIONS: The results suggest that HRV biofeedback may prove to be a useful adjunct to asthma treatment and may help to reduce dependence on steroid medications. Further evaluation of this method is warranted.

Obstetric admissions to the intensive care unit: outcomes and severity of illness.

OBJECTIVE: To determine whether mortality prediction based on a current model of outcome prediction is accurate in obstetric patients. METHODS: Consecutive obstetric admissions to a medical intensive care unit from 1991 to 1998 were reviewed to determine whether mortality prediction is feasible in obstetric patients based on a widely used model. The Simplified Acute Physiologic Score (SAPS II) was used to predict the probability of hospital mortality. RESULTS: The Simplified Acute Physiologic Score overestimated mortality in all patients (19 predicted deaths, eight observed) but accurately predicted mortality in patients admitted to the intensive care unit for medical reasons (seven predicted, five observed). The Simplified Acute Physiologic Score did not predict mortality in patients admitted for obstetric indications or postpartum hemorrhage. Median SAPS II scores were significantly higher in those patients who died, compared with survivors. For all groups, SAPS II scores were correlated with intensive care unit length of stay but not hospital length of stay. CONCLUSION: The Simplified Acute Physiologic Score accurately predicts hospital mortality in obstetric patients admitted to the intensive care unit for medical reasons but not for indications related to pregnancy and delivery. An alternate model that predicts outcomes in obstetric patients admitted for obstetric indications should be developed.