Biomedical subjects

S Fakhry

Publications and source records attributed to S Fakhry.

6 recordsLinked to original sources

PubMed2000

Windows 99: a source of suburban pediatric trauma.

BACKGROUND: Falls from windows in urban areas cause a significant number of pediatric injuries. Window falls have not been well described in the nonurban setting. We describe the epidemiology of window falls from residential homes among pediatric patients at a suburban Level I trauma center. METHODS: A review of patients admitted from January 1991 through November 1999 to a center serving a rapidly growing suburban area was performed. RESULTS: A total of 2,322 children, ages 0-14 years, were admitted during the study period. Falls comprised 41% of these admissions, and 11% of falls were from windows, greater than twice the national average. More than 39% of children who fell from windows were admitted directly to the intensive care unit. Overall mortality rate was 4%. Ages 0 to 4 years comprised the largest percentage (83%), and all children who died were in this age group. Children < or = 4 years were more likely to have an Abbreviated Injury Score > or = 2 (head injury) than those ages 10 to 14 years (p = 0.032). More than 31% of all children injured in window falls seen at the study institution between 1991 and 1999 were admitted in the last 2 years. CONCLUSION: Pediatric falls from windows in this suburban area appear to be increasing, with an incidence greater than the national average. Children at greatest risk are less than 4 years old. Further research in injury prevention at the national level aimed at suburban areas may be warranted.

Accidental Falls↗

PubMed1996

Appropriate use of the Glasgow Coma Scale in intubated patients: a linear regression prediction of the Glasgow verbal score from the Glasgow eye and motor scores.

UNLABELLED: The Glasgow Coma Scale (GCS) has been shown to be a valuable tool in assessing the neurologic and physiologic status of critically ill patients. Unfortunately, the GCS requires assessment of the verbal response of the patient and this can be blocked by intubation. The purpose of this study was to assess the ability of a regression model based upon the eye and motor components of the GCS to accurately predict the verbal response of the GCS. The primary hypothesis was that the verbal response could be derived from the motor and eye responses of the GCS. METHODS: Data were collected prospectively in an intensive care unit computer data base. Patients were divided into training and test data sets. Linear regression was used to derive a model of verbal score from the motor and eye scores of the GCS in the training data set. Correlation between the actual and the predicted verbal scores was calculated. RESULTS: A total of 2,521 GCS assessments were available for analysis. The second order multiple regression model was an accurate predictor of the verbal score (Pearson's Correlation r = 0.9, R2 = 0.8, p = 0.0001) in 1,463 observations in the training data set. Second Order Multiple Regression Model: Estimated GCS Verbal = (2.3976) + [GCS Motor x (-0.9253)] + [GCS Eye x (-0.9214)] + [(GCS Motor)2 x (0.2208)] + [(GCS Eye)2 x (0.2318)] where r = 0.91, R2 = 0.83, and p = 0.0001. The accuracy of this model was confirmed by comparing the predicted verbal score to the actual verbal score in the test data set (n = 736, r = 0.92, R2 = 0.85, p = 0.0001) CONCLUSIONS: The GCS is a useful tool in the intensive care unit and a critical part of the APACHE II assessment of patient acuity. GCS has been shown to be a useful tool in its own right as a predictor of outcome in the critically ill. Its use is limited with intubation. (See Segatore M, Way C: Heart Lung 21:548, 1992; and Lieh-Lai MW, Theodorou AA, Sarnaik AP, et al: J Pediatr 120:195, 1992.) The present study demonstrates that a relatively simple regression model can use the eye and motor components of the GCS to predict the expected verbal component of the GCS, thus allowing the calculation of the GCS sum score in intubated patients.

Adult↗

PubMed1995

Use of the APACHE II scoring system to determine mortality of gynecologic oncology patients in the intensive care unit.

OBJECTIVE: To determine if an elevated score on the Acute Physiology and Chronic Health Evaluation II (APACHE II) scoring system is associated with mortality of acutely ill gynecologic oncology patients. METHODS: Gynecologic oncology patients admitted to the surgical intensive care unit (ICU) were identified from the ICU data base. Their admission APACHE II score and type of gynecologic cancer were also extracted from the data base. Charts were reviewed to determine the disease status and reason for admission to the surgical ICU. Patient mortality was correlated with APACHE II scores. RESULTS: Forty-five gynecologic oncology patients were admitted to the surgical ICU from June 1988 to January 1992. They had a mean age of 62 years and various cancers: ovarian (24), cervical (16), and endometrial (five). The mean APACHE II score was 12 (range 2-26). Eight of 45 (18%) patients died. There was a significant correlation between APACHE II scores and mortality; patients with an APACHE II score of 20 or greater had a 78% risk of death compared to a 3% risk if the score was less than 20 (P < .001, chi 2 test). CONCLUSION: Elevated APACHE II scores are associated with mortality in acutely ill gynecologic oncology patients.

APACHE↗

PubMed1993

Comparison of APACHE II, Trauma Score, and Injury Severity Score as predictors of outcome in critically injured trauma patients.

Trauma Score (TS), APACHE II score, and Injury Severity Score (ISS) have been utilized to quantitate severity of illness in various groups of patients. The purpose of this study was to compare the relationship of the APACHE II score, TS, and "computer-derived" ISS with outcome in critically injured trauma patients. Data were recorded prospectively in a computer database for 428 consecutive trauma admissions. Stepwise discriminate analysis was utilized to determine the best predictor of both intensive care unit (ICU) and hospital outcome. Forty-two patients died in the ICU (10%), and another 18 patients died after leaving the ICU (4%), for a total mortality rate of 14%. The mean p value and partial R2 value obtained from stepwise discriminant analysis of the relationships between APACHE II score, TS, and ISS to ICU and hospital survival are shown. APACHE II score was the best predictor of both ICU and hospital outcome in these critically ill trauma patients. However, when combining all three measures (APACHE II score, TS, and ISS), only a portion of the variance in outcome is explained by the scores (R2 < 0.05). We conclude that scoring systems for outcome prediction should be utilized only as an adjunct to clinical assessment in the evaluation of the severity of illness and mortality risk in critically ill trauma patients.

Female↗

PubMed1993

Injury severity grading in trauma patients: a simplified technique based upon ICD-9 coding.

UNLABELLED: The purpose of this study was to develop a simplified method of stratifying patient risk of death based on ICD-9 codes. METHODS: Data were obtained from a statewide trauma registry. A mortality risk ratio (MRR) was derived from a "training" subset by calculating a mortality rate for each ICD-9 code of interest. The independent variables of interest included TS, ISS, and MRRs (for the 1st & 2nd Dx, 1st op, & E code). RESULTS: (n = 37,100). When the 1st Dx and ISS were used as candidate variables in stepwise multivariate modeling, the MRR for the 1st Dx was the first variable to be entered into the model (1st Dx partial R2 = 0.37, ISS partial R2 = 0.02). CONCLUSION: This study shows that the 1st Dx is a better predictor of outcome than ISS. Since ICD-9 codes are more easily obtained and are better predictors of outcome, this study suggests that they may supersede the use of the ISS in injury severity scoring.

Adolescent↗

PubMed1992

Prospective comparison of clinical judgment and APACHE II score in predicting the outcome in critically ill surgical patients.

Prospective identification of patients who will not survive has been proposed as a means of limiting utilization of medical resources including critical care. This study prospectively compared prediction of outcome for surgical ICU patients by clinical assessment and the APACHE II score. Five hundred seventy-eight patients were assessed within 24 hours of admission by the ICU attending physician and predicted to live or die. An APACHE II score was calculated in that same time period. All data were stored in a data base and compared with actual SICU outcome. There were 40 deaths in 578 patients (6.9%). The clinical assessment had an overall accuracy of 95.2% vs. 90.9% for APACHE II. The Pearson correlation coefficients for the two methods of prediction were 0.59 for clinical assessment and 0.44 for APACHE II. Predictive power was not greatly improved by combining both prediction methods. Over 40% of patients predicted to die by both methods actually survived. This study demonstrates that clinical assessment is superior to APACHE II in predicting outcome in this group of surgical patients, although the difference is small. In addition, this study suggests that neither clinical assessment nor the APACHE II score, when obtained within 24 hours of admission, is very reliable at predicting which surgical ICU patients will die.

Adolescent↗