Correlation Between mMINDS and CIWA-Ar Scoring Tools in Patients With Alcohol Withdrawal Syndrome.

BACKGROUND: Many alcohol withdrawal scoring tools are used in hospitalized patients to assess the severity of alcohol withdrawal and guide treatment. The revised Clinical Institute Withdrawal Assessment (CIWA-Ar) and the modified Minnesota Detoxification Scale (mMINDS) are commonly used but have never been correlated. OBJECTIVE: To determine the strength of correlation between the CIWA-Ar and mMINDS scoring tools in patients with alcohol withdrawal syndrome. METHODS: A single-center, prospective correlation study conducted at a large academic medical center. Patients treated for alcohol withdrawal syndrome according to the Yale Alcohol Withdrawal Protocol were identified daily, and both the CIWA-Ar and mMINDS were administered at each time point required by the protocol. Clinical data were obtained from the electronic medical records. RESULTS: A total of 185 CIWA-Ar and mMINDS scores were collected in 30 patients. The Pearson correlation coefficient across all scores was 0.82, indicating a strong correlation. The Pearson correlation coefficient was 0.87 for CIWA-Ar scores of 10 or less and 0.52 for CIWA-Ar scores above 10. Strong correlations were also shown for tremor (0.98), agitation (0.84), and orientation (0.87). CONCLUSIONS: The correlation between the CIWA-Ar and mMINDS tools is strong and appears to be most robust in patients with CIWA-Ar scores of 10 or less.

Experience with the continuous glucose monitoring system in a medical intensive care unit.

Strict glycemic control improves clinical outcomes in critically ill patients. However, practical tools for frequent monitoring of blood glucose (BG) levels in the intensive care unit (ICU) are limited. The Continuous Glucose Monitoring System (CGMS, Medtronic MiniMed, Northridge, CA) is currently approved for detecting glycemic excursions in outpatients with diabetes mellitus. The use of this device has never been carefully examined in the inpatient setting. This preliminary study was designed to investigate the accuracy of the CGMS in critically ill patients admitted to a medical ICU (MICU). Subjects at risk for hyperglycemia were recruited from among all patients admitted to our MICU. CGMS sensors were implanted for up to 72 h. Study subjects wore between one and five consecutive sensors. Four or more standard capillary BG readings were recorded per 24 h. All paired meter-sensor (M-S) readings were used both for CGMS calibration and for data analysis. Twenty-two MICU patients wore 41 CGMS sensors, yielding 546 M-S BG pairs. Overall, the Pearson correlation coefficient ( r ) was 0.88, with a mean M-S difference of 3.3 +/- 26.7 mg/dL (0.6 +/- 17.4%) and a mean absolute M-S difference of 19.7 +/- 18.3 mg/dL (12.8 +/- 11.9%). Clarke Error Grid analysis categorized 98.7% of the M-S pairs within "clinically acceptable" zones A and B. The CGMS is promising for potential use in critically ill patients. If validated in larger studies, the device could serve as a useful research tool for investigating the role of hyperglycemia (and strict glycemic control) in ICU patients. If further developed as a "real-time" glucose sensor, CGMS technology could ultimately prove clinically useful in the ICU, by decreasing nursing workload and/or by providing alarm signals for impending glycemic excursions.

Prolonged mechanical ventilation and tracheostomy in the elderly.

Mechanical ventilation is a life-sustaining technology used with increasing frequency in the elderly population. Prolonged mechanical ventilation is associated with high morbidity, mortality, and poor functional status. Care of these complex patients requires a coordinated multidisciplinary approach to optimize outcome. To minimize mortality and morbidity and contain health care costs, it is essential to identify patients at high risk for prolonged ventilation and to implement early interventions to curtail functional decline. In this article, the incidence and outcome of prolonged mechanical ventilation is reviewed, along with interventions to promote recovery. In particular, the role of tracheostomy timing and placement is discussed.