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Biomedical subjects

R Rutledge

Publications and source records attributed to R Rutledge.

At least 19 recordsLinked to original sources

The mini-gastric bypass: experience with the first 1,274 cases.

BACKGROUND: Results of the laparoscopic Mini-Gastric Bypass (MGB) are reported. METHODS: 1,274 MGB patients are continuously monitored as part of an online computer tracking data-base system. RESULTS: Mean preoperative weight (+/- Standard Deviation) was 132 +/- 21 kg, BMI 47 +/- 7. Mean excess weight loss was 51% at 6 months, 68% at 12 months and 77% at 2 years. The mean operating-time was 36.9 +/- 33.5 minutes. The shortest time was 19 minutes. Hospital stay was 1.5 +/- 1.6 days. The overall complication rate has been 5.2%. The overall rate of deep vein thrombosis and pulmonary embolism was 0.08% and 0.16% respectively. The leak rate was 1.6%. There was one hospital death, 0.08%. Associated medical illnesses were either completely reversed or markedly improved. CONCLUSIONS: The MGB is safe, results in major weight loss, has a short operating-time, and has a short hospital stay. The MGB appears to meet many of the criteria of an "ideal" weight loss operation.

Adult↗

External laryngeal trauma analysis of 392 patients.

BACKGROUND: External laryngeal trauma (ELT) is a rare but clinically important injury. OBJECTIVE: To perform the first population-based, time series analysis of the epidemiology, management, and outcomes of ELT using an 11-state, inpatient sample database containing more than 54 million patients. PATIENTS: Three hundred ninety-two patients with a primary or secondary diagnosis of ELT were identified. Over a 5-year period, the incidence of ELT in this series was 1/137,000. The mean (+/-SD) age was 37 (+/-7) years, and the overall mortality rate was 2.04%. Two hundred forty-eight patients required surgical intervention. RESULTS: The average length of stay for 67 patients not requiring surgical intervention for any injury was 3 (+/-2) days, with no mortality. One hundred eighty patients underwent endoscopy, with 14 requiring tracheotomy alone and 57 requiring tracheotomy plus laryngeal repair. The average length of stay and the mortality rate were higher in these latter groups. Overall, 139 patients underwent tracheotomy, with a mortality rate of 5%, while 96 patients underwent laryngeal repair, with a mortality rate of 1%. Surgical treatment was performed in 140 patients with ELT within 24 hours after presentation, while another 60 received treatment within 48 hours. Associated injuries included skull base or intracranial injury (13%), open neck injury (9%), cervical spine injury (8%), and esophageal or pharyngeal injury (3%). CONCLUSION: External laryngeal trauma is a rare injury, with most patients requiring surgical intervention.

Adult↗

Cholecystectomy in patients aged 80 and older.

BACKGROUND: We assessed whether the increase in performance of laparoscopic cholecystectomy has affected patients aged 80 and older and if outcomes of a laparoscopic approach in this population would show improvement over those for open surgery. METHODS: We analyzed an 11-state discharge database obtained from the Nationwide Inpatient Sample of the Healthcare Cost and Utilization Project. Release 1 contains a 20% sample of United States hospitals for the period 1988 to 1992. Diagnosis-related group (DRG) codes 197 and 198 were searched, and demographics, type of surgery, and outcome measures were analyzed. RESULTS: In 5 years, 350,451 patients underwent cholecystectomy with the DRG codes listed. Of those, 18,500 patients were aged 80 to 105. The total number of cholecystectomies increased each year. Performance of laparoscopic cholecystectomy rose rapidly and that of open cholecystectomy decreased. Overall mortality with laparoscopic cholecystectomy was 1.8%, was lower than that of open cholecystectomy, was lower in women, and decreased with time. CONCLUSIONS: Patients aged 80 and older have participated in the increased performance of cholecystectomy and the switch to laparoscopic cholecystectomy. This has a low mortality, low length of stay, and higher proportion of patients being discharged to home compared with patients having open cholecystectomy.

Aged↗

Penile prosthesis implantation surgery: a statewide population based analysis of 2354 patients.

AIMS OF THE STUDY: Minimally invasive therapy for erectile dysfunction (ED) has changed the frequency of penile prosthesis surgery. The purpose of this study is to describe the changes in frequency, hospital stay, hospital charges and penile prosthesis type in North Carolina. MATERIALS AND METHODS: The data source was a statewide hospital discharge database which includes data on hospitalized patients for all 151 hospitals in North Carolina. RESULTS: From 1988-1993, 2354 patients underwent implantation of penile prostheses. The total number of penile prostheses implanted has declined over this six year period. Similarly, hospital stay has declined from an average of 4.03-2.96 d with a 46.6% decrease in total hospital days. Despite this change in hospital stay, hospital charges rose significantly from an average of $7252.48 to $12,842.18 driving total charges from $2973,516.80 to $3,826,969.60 (1993) representing a 28.7% increase. CONCLUSIONS: Minimally invasive therapy and changes in reimbursement have had a major impact on the number of patients undergoing penile prosthesis implantation for ED. This downward trend may continue as more treatment options develop from the marked increase in research in this field. However, this may result in an increase of patients seeking treatment overall.

Erectile Dysfunction↗

Characterization of an AGAMOUS homologue from the conifer black spruce (Picea mariana) that produces floral homeotic conversions when expressed in Arabidopsis.

Advances in elucidating the molecular processes controlling flower initiation and development have provided unique opportunities to investigate the developmental genetics of non-flowering plants. In addition to providing insights into the evolutionary aspects of seed plants, identification of genes regulating reproductive organ development in gymnosperms could help determine the level of homology with current models of flower induction and floral organ identity. Based upon this, we have searched for putative developmental regulators in conifers with amino acid sequence homology to MADS-box genes. PCR cloning using degenerate primers targeted to the MADS-box domain revealed the presence of over 27 MADS-box genes within black spruce (Picea mariana), including several with extensive homology to either AP1 or AGAMOUS, both known to regulate flower development in Arabidopsis. This indicates that like angiosperms, conifers contain a large and diverse MADS-box gene family that probably includes regulators of reproductive organ development. Confirmation of this was provided by the characterization of an AGAMOUS-like cDNA clone called SAG1, whose conservation of intron position and tissue-specific expression within reproductive organs indicate that it is a homologue of AGAMOUS. Functional homology with AGAMOUS was demonstrated by the ability of SAG1 to produce homeotic conversions of sepals to carpels and petals to stamens when ectopically expressed in transgenic Arabidopsis. This suggests that some of the genetic pathways controlling flower and cone development are homologous, and antedate the 300-million-year-old divergence of angiosperms and gymnosperms.

AGAMOUS Protein, Arabidopsis↗

Experimental infection of domestic cats with Bartonella henselae by inoculation of Ctenocephalides felis (Siphonaptera: Pulicidae) feces.

Caged cat fleas, Ctenocephalides felis (Bouché), were fed on 6 cats; 3 cats were injected with 5 x 10(7) colony forming units of Bartonella henselae intradermally and 3 cats were injected with an equal volume of saline. After the fleas fed for 4 d, 5 groups of 50 B. henselae-exposed fleas were caged and allowed to feed on 5 cats for 6 d. Five cats each were injected intradermally with 1 ml of saline containing 45 mg of feces from B. henselae-exposed fleas. Five cats were fed 50 B. henselae-exposed fleas and 45 mg of fresh feces from B. henselae-exposed fleas. Five cats received all 3 treatments by using fleas and feces collected from cats inoculated with saline (controls). Cats were bled weekly and tested by culture and serology. The cats that were injected with feces from infected fleas were positive by culture for B. henselae at 1 or 2 wk after exposure and were the only cats to become bacteremic or seropositive by week 20.

Animals↗

An analysis of 25 Milliman & Robertson guidelines for surgery: data-driven versus consensus-derived clinical practice guidelines.

SUMMARY BACKGROUND DATA: Managed care guidelines such as those by Milliman & Robertson (M&R) are being implemented with increasing frequency. Many fellows of the American College of Surgeons have raised concerns that the targets set by the M&R guidelines are too aggressive. Uninformed attempts to reach these targets may harm patients. The primary hypothesis of this study was that many of the M&R guidelines are at wide variance from the actual length of stay of patients treated for these diseases. METHODS: Data for the determination of the present practice of care for patients in 25 M&R guidelines were obtained from the hospital discharge data base for North Carolina for 1996. Twenty-five of the M&R guidelines were compared to the actual patient mean, mode, and median length of stay. RESULTS: In 8 of the 25 patient groups, the difference between the actual mean length of stay and M&R guidelines exceeded 5 days. CONCLUSIONS: Many of the M&R guidelines were found to be at wide variance from the actual length of stay of patients treated for these diseases in North Carolina. For many patients, the M&R guidelines are not applicable. Applying them in an uninformed way--in other words, discharging patients from the hospital too early--may hurt some patients. This study should not be interpreted as a criticism of the trend to use guidelines in general; rather, it should be considered a cautionary note that all guidelines must be reviewed scientifically to determine their soundness, applicability, and credibility.

Consensus Statements as Topic↗

The end of the Injury Severity Score (ISS) and the Trauma and Injury Severity Score (TRISS): ICISS, an International Classification of Diseases, ninth revision-based prediction tool, outperforms both ISS and TRISS as predictors of trauma patient survival, hospital charges, and hospital length of stay.

INTRODUCTION: Since their inception, the Injury Severity Score (ISS) and the Trauma and Injury Severity Score (TRISS) have been suggested as measures of the quality of trauma care. In concept, they are designed to accurately assess injury severity and predict expected outcomes. ICISS, an injury severity methodology based on International Classification of Diseases, Ninth Revision, codes, has been demonstrated to be superior to ISS and TRISS. The purpose of the present study was to compare the ability of TRISS to ICISS as predictors of survival and other outcomes of injury (hospital length of stay and hospital charges). It was our hypothesis that ICISS would outperform ISS and TRISS in each of these outcome predictions. METHODS: "Training" data for creation of ICISS predictions were obtained from a state hospital discharge data base. "Test" data were obtained from a state trauma registry. ISS, TRISS, and ICISS were compared as predictors of patient survival. They were also compared as indicators of resource utilization by assessing their ability to predict patient hospital length of stay and hospital charges. Finally, a neural network was trained on the ICISS values and applied to the test data set in an effort to further improve predictive power. The techniques were compared by comparing each patient's outcome as predicted by the model to the actual outcome. RESULTS: Seven thousand seven hundred five patients had complete data available for analysis. The ICISS was far more likely than ISS or TRISS to accurately predict every measure of outcome of injured patients tested, and the neural network further improved predictive power. CONCLUSION: In addition to predicting mortality, quality tools that can accurately predict resource utilization are necessary for effective trauma center quality-improvement programs. ICISS-derived predictions of survival, hospital charges, and hospital length of stay consistently outperformed those of ISS and TRISS. The neural network-augmented ICISS was even better. This and previous studies demonstrate that TRISS is a limited technique in predicting survival resource utilization. Because of the limitations of TRISS, it should be superseded by ICISS.

Adult↗

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

BACKGROUND: The Glasgow Coma Scale (GCS), which is the foundation of the Trauma Score, Trauma and Injury Severity Score, and the Acute Physiology and Chronic Health Evaluation scoring systems, requires a verbal response. In some series, up to 50% of injured patients must be excluded from analysis because of lack of a verbal component for the GCS. The present study extends previous work evaluating derivation of the verbal score from the eye and motor components of the GCS. METHODS: Data were obtained from a state trauma registry for 24,565 unintubated patients. The eye and motor scores were used in a previously published regression model to predict the verbal score: Derived Verbal Score = -0.3756 + Motor Score * (0.5713) + Eye Score * (0.4233). The correlation of the actual and derived verbal and GCS scales were assessed. In addition the ability of the actual and derived GCS to predict patient survival in a logistic regression model were analyzed using the PC SAS system for statistical analysis. The predictive power of the actual and the predicted GCS were compared using the area under the receiver operator characteristic curve and Hosmer-Lemeshow goodness-of-fit testing. RESULTS: A total of 24,085 patients were available for analysis. The mean actual verbal score was 4.4 +/- 1.3 versus a predicted verbal score of 4.3 +/- 1.2 (r = 0.90, p = 0.0001). The actual GCS was 13.6 + 3.5 versus a predicted GCS of 13.7 +/- 3.4 (r = 0.97, p = 0.0001). The results of the comparison of the prediction of survival in patients based on the actual GCS and the derived GCS show that the mean actual GCS was 13.5 + 3.5 versus 13.7 + 3.4 in the regression predicted model. The area under the receiver operator characteristic curve for predicting survival of the two values was similar at 0.868 for the actual GCS compared with 0.850 for the predicted GCS. CONCLUSIONS: The previously derived method of calculating the verbal score from the eye and motor scores is an excellent predictor of the actual verbal score. Furthermore, the derived GCS performed better than the actual GCS by several measures. The present study confirms previous work that a very accurate GCS can be derived in the absence of the verbal component.

Glasgow Coma Scale↗

Predicting survival, length of stay, and cost in the surgical intensive care unit: APACHE II versus ICISS.

BACKGROUND: Risk stratification of patients in the intensive care unit (ICU) is an important tool because it permits comparison of patient populations for research and quality control. Unfortunately, currently available scoring systems were developed primarily in medical ICUs and have only mediocre performance in surgical ICUs. Moreover, they are very expensive to purchase and use. We conceived a simple risk-stratification tool for the surgical ICU that uses readily available International Classification of Diseases, Ninth Revision, codes to predict outcome. Called ICISS (International Classification of Disease Illness Severity Score), our score is the product of the survival risk ratios (obtained from an independent data set) for all International Classification of Diseases, Ninth Revision, diagnosis codes. METHODS: A total of 5,322 noncardiac patients admitted to a surgical ICU during an 8-year period had their Acute Physiology and Chronic Health Evaluation (APACHE) II scores compared with their ICISS as predictors of outcome (survival/nonsurvival, length of stay, and charges). RESULTS: ICISS proved to be a much better predictor of survival than APACHE (receiver operating characteristic (ROC) APACHE = 0.806; Hosmer-Lemeshow (HL) APACHE = 22.56; ROC ICISS = 0.892; HL ICISS = 12.06) or the APACHE survival probability (ROC = 0.836; HL = 34.47). These differences were highly statistically significant (p < 0.001). ICISS was also better correlated with ICU length of stay (APACHE R2 = 0.06; ICISS R2 = 0.32) and ICU charges (APACHE R2 = 0.07; ICISS R2 = 0.39). When combined in a logistic model with ICISS, APACHE II added slightly to the predictive power of ICISS alone (combined ROC = 0.903) but degraded the calibration of the model (combined HL = 16.29; p = 0.038). CONCLUSION: Because ICISS is both more accurate and much less expensive to calculate than APACHE II score, ICISS should replace APACHE II score as the standard risk stratification tool in surgical ICUs.

APACHE↗

The ICD-9-based illness severity score: a new model that outperforms both DRG and APR-DRG as predictors of survival and resource utilization.

OBJECTIVE: This project is designed to develop and validate a predictive model that is a useful benchmarking and quality of care assessment tool based on International Classification of Diseases, Ninth Revision (ICD-9), diagnoses and procedures. This model, the ICD-9-Based Illness Severity Score (ICISS), was developed from the Agency for Health Care Policy Research's Health Care Utilization Project database and is used to predict hospital survival, hospital length of stay, and hospital charges of injured patients admitted to University of North Carolina Hospitals. The study also compared the outcome predictions of ICISS with those of the long-established diagnosis-related groups (DRG) and the 3M product APR-DRG systems. METHODS: We performed a retrospective study of 9,483 trauma patients at University of North Carolina Hospitals. A model was developed to predict survival, length of stay, and hospital charges. The accuracy of the model of survival was assessed using the area under the receiver-operating characteristics curve; the adjusted R2 statistic was used to judge the proportion of variation described by the models of length of stay and hospital charges. RESULTS: ICISS proved to be superior to both DRG and APR-DRG in predicting survival of trauma patients: the area under the receiver-operating characteristics curve for prediction of hospital survival was 0.957 for ICISS, 0.707 for DRG, and 0.808 for APR-DRG. ICISS also outperformed DRG and APR-DRG in predicting hospital length of stay and hospital charges: the adjusted R2 for the ICISS length of stay model was 0.57, compared with the DRG length of stay model with adjusted R2 of 0.31 and the APR-DRG length of stay model with adjusted R2 of 0.35. The adjusted R2 for the ICISS hospital charges model was 0.67, compared with the DRG and APR-DRG hospital charges model R2 of 0.46 and 0.51, respectively (p < 0.001 in all cases). CONCLUSION: This study demonstrates that an ICD-9-based predictive model (ICISS) can markedly outperform both DRG and APR-DRG as a predictor of survival, hospital length of stay, and hospital charges.

Diagnosis-Related Groups↗

Illness severity adjustment for outcomes analysis: validation of the ICISS methodology in all 821,455 patients hospitalized in North Carolina in 1996.

BACKGROUND: Previous work has demonstrated that the International Classification of Diseases 9th Revision (ICD-9) Based Illness Severity Score (ICISS) methodology developed by Rutledge and Osler can perform well in this role as a severity adjustment tool in trauma patients. The purpose of the present study was to extend this previous work to determine the ability of ICISS to predict outcomes in all types of hospitalized patients. METHODS: The ICISS methodology was used to derive predictions of survival, length of hospital stay, and hospital charges in the entire study population. RESULTS: A total of 821,455 hospitalized patients in North Carolina in 1996 had complete data available for analysis. The overall hospital mortality rate was 2.9%. ICISS was an accurate predictor of hospital survival in all hospitalized patients (accuracy 95.9%, sensitivity 97.2%, and specificity 52.7%.) The area of the receiver operator characteristic curve was 0.93. By adding to the model, the area under the receiver operator characteristic curve increased to 0.95. ICISS also explained a large amount of the variance in hospital stay and charges (R2 = 0.38 and 0.56, respectively, P < .0001). CONCLUSIONS: This study extends previous work suggesting that ICISS may be an important improvement over other presently available severity adjustment models. If these findings are confirmed in comparison with other predictive tools, ICISS may find an important place in assessing illness severity.

Hospital Charges↗

A statewide, population-based, time series analysis of access to liver transplantation.

While the number of patients listed for liver transplant has increased, the pool of donor organs has remained constant. Questions have arisen regarding equitable access to organs. The purpose of this study was to analyze factors associated with access to liver transplantation (LT) using a large, population-based, hospital discharge database. The primary hypothesis was that a variety of factors other than medical need could be associated with access to LT. The rate of LT was defined as the number of liver transplants per admission for liver disease. The data sources were selected to allow a population-based, time-series analysis of all patients admitted with liver disease and those receiving liver transplants in all 157 nonfederal hospitals in North Carolina from 1988 to 1993. The hypotheses of this study were that age, gender, payment source, type of liver disease, distance from the transplant center, and rural county of residence were associated with patients' likelihood of access to LT. During the six years studied, 56,803 patients were admitted with liver disease and 126 underwent liver transplantation (LT). The rate of LT increased from 0.07% to 0.27%. Age, gender, source of payment, type of liver disease, rural county of residence, and distance of residence from the transplant center were associated with rates of transplantation. In the multivariate model, source of payment appeared to have the strongest association with the likelihood of LT. These findings raise important questions associated with equitable access to health care, need for physician education, and transplant center regionalization.

Age Factors↗

A statewide, hospital-based analysis of frequency and outcomes in carotid endarterectomy.

BACKGROUND: For more than 40 years carotid endarterectomy (CE) has been used in the treatment of extracranial carotid disease for the prevention of stroke. Recent prospective clinical trials have confirmed the benefit of CE for both symptomatic and asymptomatic patients. Our purpose was to examine statewide trends in the numbers of CE over a 6-year time period and to evaluate outcomes. METHODS: Using data from the North Carolina Medical Database Commission (NCMDC) all CE procedures from 1988 to 1993 were identified. Numbers of CE were compared with the population and hospital admissions. Variables of length of stay, hospital charges, discharge disposition, and occurrence of stroke and death were analyzed. RESULTS: A total of 11,973 CE were performed in 6 years. Compared by admissions, population, and the proportion of elderly, the number of CE increased yearly. The stroke rate was 1.7% and the death rate 1.2% for an overall in-hospital stroke plus mortality rate of only 2.7%. CONCLUSIONS: From a diverse group of hospitals and a large number of surgeons and patients, this hospital-based study documents the acceptance and safety of CE in the treatment of extracranial carotid disease.

Aged↗

Outcome after severe head injury: an analysis of prediction based upon comparison of neural network versus logistic regression analysis.

More reliable prediction of outcome would be helpful for clinicians who treat severely head-injured patients. To determine if neural network modeling would improve outcome prediction compared with standard logistic regression analysis and to determine if data available 24 h after severe head injury allows better prediction than data obtained within 6 h, we tested the ability of both techniques at these two times to predict outcome (dead versus alive) at 6 months. One thousand sixty-six consecutive patients with Glasgow Coma Scale scores of 8 or less during the first 24 h after injury were randomly divided into two groups. Data from the first group (n = 799) were used to develop the models; data from the second group (n = 267) were used to test the accuracy, sensitivity, and specificity of the models by comparing predicted and actual outcomes. The 6-month mortality rate was 63.5%. Our findings confirm the importance of age, Glasgow Coma Scale scores, and hypotension in predicting outcome. Using data available at 24 h improved the predictive power of both models compared with admission data; at both time points, however, the differences in the results obtained with the two models were negligible. We conclude that outcome (dead versus alive) at 6 months after severe head injury can be predicted with logistic regression or neural network models based on data available at 24 h. Critical therapeutic decisions, such as cessation of therapy, should be based on the patient's status 1 day after injury and only rarely on admission status alone.

Adolescent↗

Management outcomes in splenic injury: a statewide trauma center review.

OBJECTIVE: Clinical pathways now highlight both observation and operation as acceptable initial therapeutic options for the management of patients with splenic injury. The purpose of this study was to evaluate treatment trends for splenic injury in all North Carolina trauma centers over a 6-year period. METHODS: Splenic injuries in adults over a 6-year period (January 1988-December 1993) were identified in the North Carolina Trauma Registry using ICD-9-CM codes. Patients were divided into four groups by method of management: 1) no spleen operation, 2) splenectomy, 3) definitive splenorrhaphy, and 4) splenorrhaphy failure followed by splenectomy. The authors examined age, mechanism of injury, admitting blood pressure, and severity of injury by trauma score and injury severity score. SUMMARY BACKGROUND DATA: Comparisons were made between adult (17-64 years of age) and geriatric (older than 65 years of age) patients and between patients with blunt and penetrating injury. Resource utilization (length of stay, hospital charges) and outcome (mortality) were compared. RESULTS: One thousand two hundred fifty-five patients were identified with splenic injury. Rate of splenic preservation increased over time and was achieved in more than 50% of patients through nonoperative management (40%) and splenorrhaphy (12%). Splenorrhaphy was not used commonly in either blunt or penetrating injury. Overall mortality was 13%. Geriatric patients had a higher mortality and resource utilization regardless of their mechanism of injury or method of management. CONCLUSIONS: Nonoperative management represents the prevailing method of splenic preservation in both the adult and geriatric population in North Carolina trauma center hospitals. Satisfactory outcomes and economic advantages accompany nonoperative management in this adult population.

Adult↗

Statewide, population-based, time-series analysis of the frequency and outcome of pulmonary embolus in 318,554 trauma patients.

UNLABELLED: The low occurrence, nonspecific signs and symptoms, and high rate of associated morbidity and mortality of pulmonary embolus (PE) create major problems in the prevention, diagnosis, and treatment of PE. The purpose of this study was to analyze the frequency and outcome of PE in an entire state's trauma population using a large, population-based, hospital discharge data base. With the inclusion of an entire population, the reported incidence, high risk groups of patients, and specific risk factors regarding PE were assessed. A multivariate, logistic regression model was created from the data to determine predictive power of selected risk factors in patients at risk. METHODS: The data source was a statewide, hospital discharge data base that includes data on all hospitalized patients for all of the hospitals in North Carolina. Data were available from 1988 to 1993. Using primary discharge diagnosis and nine additional ICD-9 coded diagnoses from the discharge abstract, patients were selected by presence of diagnostic codes for traumatic injury (800-959.9) and PE (415.1). Statistical analysis was performed using univariate and multivariate analysis to determine significant risk factors and to create a candidate model for the prediction of risk in the study population. RESULTS: Of 318,554 patients, 952 (0.30%) had a recorded diagnosis of PE. The mortality rate for patients with PE (26%) was 10 times higher than the mortality rate in patients without PE (2.6%). In evaluating specific risk factors, age was a significant predictor of the risk of PE: 0.05% for patients under age 55 and 0.7% in those 55 years and over. The rate of PE, 0.3%, was low for the entire study population, but was highest in patients with injuries of the extremities, 0.53%. Increasing Injury Severity Score and Abbreviated Injury Scale score for determined body systems were also found to correlate with an increasing risk of PE. Over the course of the study, the incidence of PE among patients discharged from non-trauma centers showed a significant decrease. There was also a decrease in the mortality in non-trauma centers for PE. This finding cannot be due to coding changes coincident with the advent of diagnosis related groups because it would be associated with more vigorous combing of charts for diagnoses? It may well be that the use of prophylactic measures in injured patients initially used at trauma centers was adopted by the physicians at non-trauma centers over this time with the resultant decline in PE and associated mortality. From the univariate linear regression models, a logistic regression model was created that confirmed age as the most significant risk factor, followed by Injury Severity Score and Abbreviated Injury Scale score for soft tissue, extremity, and chest. The calculated area under the receiver operator characteristic curve was 0.72. CONCLUSION: Using a large, population-based data base, we were able to determine the reported incidence of PE among trauma patients and establish specific risk factors. The reported incidence of PE in this population is low, 0.30%. The mortality among those with PE, however, is significant at 26%. In this study, age, Injury Severity Score, and injury to specific body regions (soft tissue, extremity, chest) were associated with an increased risk of PE. The investigation of prophylaxis of PE and the general management of injured patients may be influenced by the overall low reported frequency of PE and the specific high risk populations described in this study. In light of the low incidence of PE in patients without specific risk factors, prophylactic interventions cannot be routinely recommended unless their benefits clearly outweigh their risks.

Adolescent↗

Comparison of the Injury Severity Score and ICD-9 diagnosis codes as predictors of outcome in injury: analysis of 44,032 patients.

INTRODUCTION: Appropriate stratification of injury severity is a critical tool in the assessment of the treatment and the prevention of injury. Since its inception, the Injury Severity Score (ISS) has been the generally recognized "gold standard" for anatomic injury severity assessment. However, there is considerable time and expense involved in the collection of the information required to calculate an accurate ISS. In addition, the predictive power of the ISS has been shown to be limited. Previous work has demonstrated that the anatomic information about injury contained in the International Classification of Diseases Version 9 (ICD-9) can be a significant predictor of survival in trauma patients. The goal of this study was to utilize the San Diego County Trauma Registry (SDTR), one of the nation's leading trauma registries, to compare the predictive power of the ISS with the predictive power of the information contained in the injured patients' ICD-9 diagnoses codes. It was our primary hypothesis that survival risk ratios derived from patients' ICD-9 diagnoses codes would be equal or better predictors of survival than the Injury Severity Score. The implications of such a finding would have the potential for significant cost savings in the care of injured patients. METHODS: Data for the test population were obtained from the SDTR, which contains data from 1985 through 1993 from five participating hospitals. Four data sources were utilized to estimate the expected survival rate/mortality rate for each ICD-9 code in the SDTR. These were (1) the SDTR patients themselves, (2) the North Carolina State Hospital Discharge Database, (3) the North Carolina Trauma Registry Database, and (4) the Agency for Health Care Policy Research's Health Care Utilization Project Database. Each of these data sources was separately utilized to develop a survival risk ratio (SRR) for each ICD-9 diagnoses code. The SRR was calculated by dividing the number of survivors for patients with each ICD-9 code by the total number of all patients with the particular ICD-9 diagnoses code. The four groups of SRRs derived from our four data sources were used as predictors of survival and the ability of the SRRs to predict survival was compared with the predictive power of the ISS using measures of accuracy, sensitivity, specificity, and receiver operator characteristic curves. RESULTS: During the years 1985 through 1993, complete data were available for analysis on 44,032 patients. Of these, 2,848 patients died during their hospitalization (6%). Survival risk ratios were calculated for each of the diagnoses in the data base. Logistic regression, using the SAS System for statistical analysis, was used to assess the relative predictive power of the ISS and the survival risk ratios derived from the ICD-9 diagnoses codes from each of the four data bases. The analyses demonstrated that the regression models using the SRRs were generally as good or better than ISS as predictors of survival. The predictive power of the SRRs derived from the SDTR data, the North Carolina Trauma Registry data and the Health Care Utilization Report data were the best. In a subsequent analysis, the SRR values and the ISS were added to the patient's age and the revised Trauma Scores to create new predictive models in the mode of TRISS methodology. The analyses again indicated that the models using SRRs had as good or better predictive power than the model using the ISS. CONCLUSIONS: The present study confirms previous work showing that survival risk ratios derived from injured patients' ICD-9 diagnoses codes are as good as or better than ISS as predictors of survival.

Abbreviated Injury Scale↗