Lisa L. Kirkland

The Charlson Comorbidity Index Score as a Predictor of 30-Day Mortality After Hip Fracture Surgery

This study is a retrospective chart review to determine the association of Charlson Comorbidity Index (CCI), age, body mass index (BMI), and admission glucose with the incidence of postoperative 30-day mortality in older patients undergoing hip fracture surgery from January 1, 2000, to June 30, 2002. A total of 40 (8%) of 485 eligible patients died within 30 days after hip fracture surgery. The factors associated with 30-day mortality were age > 90 years (odds ratio [OR] = 2.74; confidence interval [CI] = 1.27-5.95; P = .012), BMI < 18.5 (OR = 3.98; CI 1.48-10.65; P = .006), and CCI ≥ 6 (OR = 2.6; CI = 1.20-5.65; P = .015). There was no relationship between admission glucose concentration and 30-day mortality. Advanced age, low BMI, and high CCI can be identified prospectively and are independently associated with postoperative 30-day mortality in older, chronically ill patients.

Nutrition in the hospitalized patient

Almost 50% of patients are malnourished on admission; many others develop malnutrition during admission. Malnutrition contributes to hospital morbidity, mortality, costs, and readmissions. The Joint Commission requires malnutrition risk screening on admission. If screening identifies malnutrition risk, a nutrition assessment is required to create a nutrition care plan. The plan should be initiated early in the hospital course, as even patients with normal nutrition become malnourished quickly when acutely ill. While the Harris-Benedict equation is the most commonly used method to estimate calories, its accuracy may not be optimal in all patients. Calculating the caloric needs of acutely ill obese patients is particularly problematic. In general, a patients caloric intake should be slightly less than calculated needs to avoid the metabolic risks of overfeeding. However, most patients do not receive their goal calories or receive parenteral nutrition due to erroneous practices of awaiting return of bowel sounds or holding feeding for gastric residual volumes. Patients with inadequate intake over time may develop potentially fatal refeeding syndrome. The hospitalist must be able to recognize the risk factors for malnutrition, patients at risk of refeeding syndrome, and the optimal route for nutrition support. Finally, education of patients and their caregivers about nutrition support must begin before discharge, and include coordination of care with outpatient facilities. As with all other aspects of discharge, it is the hospitalists role to assure smooth transition of the nutrition care plan to an outpatient setting.

Unplanned transfers to the intensive care unit: The role of the shock index†

BACKGROUND Unplanned (unexpected) transfers to the intensive care unit (ICU) are typically preceded by physiologic instability. However, trends toward instability may be subtle and not accurately reflected by changes in vital signs. The shock index (SI) (heart rate/systolic blood pressure as an indicator of left ventricular function, reference value of 0.54) may be a simple alternative means to predict clinical deterioration. OBJECTIVE To assess the association of the SI with unplanned ICU transfers. DESIGN Retrospective case-control study. SETTING Academic medical center. PATIENTS Fifty consecutive general medical patients with unplanned ICU transfers between 2003 and 2004 and 50 matched controls admitted to the same general medical unit between 2002 and 2004. MEASUREMENTS Demographic data and vital signs abstracted from chart review. RESULTS The SI was associated with unplanned ICU transfer at values of 0.85 or greater (P < 0.02; odds ratio, 3.0) and there was a significant difference between the median of worst shock indices of cases and controls (0.87 vs. 0.72; P < 0.005). There was no significant difference in age, race, admission ward, or Charlson Comorbidity Index, but hospital stay for cases was significantly longer (mean [standard deviation, SD], 14.8 [9.7] days vs. 5.7 [6.3] days; P < 0.001). CONCLUSIONS SI is associated with unplanned transfers to the ICU from general medical units at values of 0.85 or greater. Future studies will determine whether SI is more accurate than simple vital signs as an indicator of clinical decline. If so, it may be a useful trigger to activate medical emergency or rapid response teams (RRTs).

Do Timely Outpatient Follow-up Visits Decrease Hospital Readmission Rates?:

It is widely believed that timely follow-up decreases hospital readmissions; however, the literature evaluating time to follow-up is limited. The authors conducted a retrospective analysis of patients discharged from a tertiary care academic medical center and evaluated the relationship between outpatient follow-up appointments made and 30-day unplanned readmissions. Of 1044 patients discharged home, 518 (49.6%) patients had scheduled follow-up ≤14 days after discharge, 52 (4.9%) patients were scheduled ≥15 days after discharge, and 474 (45.4%) had no scheduled follow-up. There was no statistical difference in 30-day readmissions between patients with follow-up within 14 days and those with follow-up 15 days or longer from discharge (P = .36) or between patients with follow-up within 14 days and those without scheduled follow-up (P = .75). The timing of postdischarge follow-up did not affect readmissions. Further research is needed to determine such factors and to prospectively study time to outpatient follow-up after discharge and the decrease in readmission rates.

Gaining efficiency and satisfaction in the handoff process

BACKGROUND Handoffs, or transfers of patient care responsibility, occur frequently on hospitalist teams. The reliability and efficiency of the handoff process is a national and local concern. Most studies in the literature regard physicians-in-training. We studied the morning handoff process of hospitalist teams comprised of staff physicians and nurse practitioner and/or physician assistants. METHODS An improvement team observed morning handoffs. Four problems were identified: unpredictable start and finish times, inefficiency, poor environment (hallway noise and distracting in-room conversations), and poor communication. The team restructured the process and observed post-intervention behavior at 15 and 90 days. A participant-provider survey was conducted before and after the intervention regarding wasted time, total time-in-report, and satisfaction with the process. RESULTS Pre-intervention 60.5% of providers (23/38) believed morning handoff was performed in a timely fashion compared to 100% (15/15) post-intervention (P = 0.005). Average time spent in morning report was 11 minutes, compared to 5 minutes after the intervention (P < 0.0028). Pre-intervention 6.5 minutes were believed wasteful, compared to 0.5 minutes post-intervention (P < 0.0001). CONCLUSIONS This study identifies deficiencies in the handoff process that were addressed by enhancing the physical environment (smaller room, noise reduction, closed door), assigned seating (visual cues by table tent cards), non-clinicians providing printed materials, standardization of written updates, team times (consistent & precise daily time for each team report), culture change including deference of attention to team receiving report with opportunity for questions, and minimization of side conversations. This intervention package resulted in an improvement in satisfaction and timeliness of clinicians involved.

A Clinical Deterioration Prediction Tool for Internal Medicine Patients

Many early warning models for hospitalized patients use variables measured on admission to the hospital ward; few have been rigorously derived and validated. The objective was to create and validate a clinical deterioration prediction tool using routinely collected clinical and nursing measurements. Multivariate regression analysis was used to determine clinical variables statistically associated with clinical deterioration; subsequently, the model tool was retrospectively validated using a different cohort of medical inpatients. The Braden Scale (P = .01; odds ratio [OR] = 0.91; confidence interval [CI] = 0.84-0.98), respiratory rate (P < .01; OR = 1.08; CI = 1.04-1.13), oxygen saturation (P < .01; OR = 0.97; CI = 0.96-0.99), and shock index (P < .01; OR = 2.37; CI = 1.14-3.98) were predictive of clinical deterioration 2-12 hours in the future. When applied to the validation cohort, the tool demonstrated fair concordance with actual outcomes. This tool created using routinely collected clinical measurements can serve as a very early warning system for hospitalized medical patients.

Clinical presentation and outcome of perioperative myocardial infarction in the very elderly following hip fracture surgery

BACKGROUND Patterns of clinical symptoms and outcomes of perioperative myocardial infarction (PMI) in elderly patients after hip fracture repair surgery are not well defined. METHODS A retrospective 1:2 case-control study in a cohort of 1212 elderly patients undergoing hip fracture surgery from 1988 to 2002 in Olmsted County, Minnesota. RESULTS The mean age was 85.3 ± 7.4 years; 76% female. PMI occurred in 167 (13.8%) patients within 7 days, of which 153 (92%) occurred in first 48 hours; 75% of patients were asymptomatic. Among patients with PMI, in-hospital mortality was 14.4%, 30-day mortality was 29 (17.4%), and 1-year mortality was 66 (39.5%). PMI was associated with a higher inpatient mortality rate (odds ratio [OR], 15.1; confidence interval [CI], 4.6-48.8), 30-day mortality (hazard ratio [HR], 4.3; CI, 2.1-8.9), and 1-year mortality (HR, 1.9; CI, 1.4-2.7). CONCLUSION Elderly patients, after hip fracture surgery, have a higher incidence of PMI and mortality than what guidelines indicate. The majority of elderly patients with PMI did not experience ischemic symptoms and required cardiac biomarkers for diagnosis. The results of our study support the measurement of troponin in postoperative elderly patients for the diagnosis of PMI, in order to implement in-hospital preventive strategies to reduce PMI-associated mortality.

Recognition and Prevention of Nosocomial Malnutrition: A Review and A Call to Action!

Nosocomial malnutrition in hospitalized adults is a morbid, costly, and potentially preventable and treatable problem. Although recognized as contributing to many serious complications of hospitalization, malnutrition is often missed when present on admission and rarely diagnosed if it occurs during hospital stay. Many routine clinical practices such as holding nutrition for testing or failing to address poor intake, when added to acute inflammatory disease states, cause rapid deterioration in nutritional status in up to 70% of inpatients. Malnutrition during hospitalization is associated with increased mortality for years after discharge. In addition, unrecognized (and under-coded) malnutrition is associated with potential lost revenues for hospital systems. Low-cost interventions of recognizing at-risk patients and providing adequate nutrition have the potential to improve patient outcomes and reduce health care costs. Physicians must champion implementation of these interventions, using guidance from national organizations.

Malnutrition in Hospitalized Children: A Responsibility and Opportunity for Pediatric Hospitalists

Poor nutrition is an underrecognized cause of significant morbidity in hospitalized children.1,2 In addition to presenting with poor nutrition at the time of admission, children often suffer worsening of their nutritional status during the course of a hospitalization,3,4 often due to providers’ underrecognition of ongoing poor intake (see Fig 1). Pediatric hospitalists can and should play a central role in recognizing and treating this common comorbid condition. FIGURE 1 Percentage of BMI decrease ≥0.25 SD during hospitalization in 496 pediatric patients. Subjects were grouped by their Z -score at admission in the hospital. Although highly malnourished children lost the most in terms of BMI, even normally nourished children lost a statistically significant amount of weight during admission. Reprinted from Campanozzi A, Russo M, Catucci A, et al. Hospital-acquired malnutrition in children with mild clinical conditions. Nutrition 2009;25(5):540–547, with permission from Elsevier.3 [medium] In this article we highlight the important issue of malnutrition in hospitalized pediatric patients and propose a general approach to nutritional assessment and supplementation for the pediatric hospitalist. Malnutrition is defined as a state in which a deficiency (or excess) of energy, protein, and other nutrition causes measurable adverse effects on the body and on growth (in children), and may impact clinical outcome.5 The term “nutritional deterioration” has been used to describe significant weight loss in hospitalized children, a precursor to acute malnutrition. Although the term malnutrition includes both overnutrition (obesity) and undernutrition, in this article we focus specifically on undernutrition. Recent studies in developed countries have estimated the prevalence of malnutrition in hospitalized children as 12% to 24%.1,3,5,6 Despite many medical advances over the past 20 years, the prevalence of malnutrition among hospitalized children has not decreased. Malnutrition is known to have detrimental effects …

Incidence and 1‐Year Outcomes of Perioperative Atrial Arrhythmia in Elderly Adults After Hip Fracture Surgery

To determine the incidence and 1‐year outcomes of an elderly population with perioperative atrial arrhythmia (PAA) within 7 days of hip fracture surgery.