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PubMed2006

Therapeutic effect and outcome predictors of sciatica treated using transforaminal epidural steroid injection.

OBJECTIVE: The objectives of this retrospective study were to assess the therapeutic effect of transforaminal epidural steroid for sciatica and to identify outcome predictors. MATERIALS AND METHODS: Transforaminal epidural steroid injections were performed in 248 patients from June 2003 to May 2004. Fifty-six patients (33 women, 23 men; mean age, 53.3 years; age range, 30-83 years) were included. Therapeutic effects were evaluated 2 weeks after injection. The possible outcome predictors were as follows: intraepineural or extraepineural injection, saddle-type distribution pattern (contrast material distributed rostrally to the epidural portion of the preganglionic nerve root) or not saddle type, cause of sciatica (spinal stenosis vs herniated disk), patient age, patient sex, and duration of sciatica (acute or subacute [< 6 months] vs chronic [> 6 months]). The relationships between possible outcome predictors and therapeutic effects were analyzed. Statistical analysis was performed using Fisher's exact test, the chi-square test, and multiple logistic regression analysis. RESULTS: Forty-three (76.8%) of the 56 patients achieved a satisfactory result 2 weeks after transforaminal epidural steroid injection. Nineteen (65.5%) of the 29 patients treated by intraepineural injection and 24 (88.9%) of the 27 patients treated by extraepineural injection achieved a satisfactory result, and this difference was significantly different (p < 0.05). Other possible predictors of a better outcome were identified--that is, saddle-type pattern of contrast distribution, a herniated disk, and sciatica of less than 6 months' duration. Multiple regression analysis showed that the only factor significantly associated with outcome was the type of injection (p = 0.04, odds ratio: 5.01). CONCLUSION: Transforaminal epidural steroid is an effective tool for managing sciatica, and an extraepineural injection may be a predictor of a better outcome for sciatica treated using transforaminal epidural steroid.

Adult↗

PubMed1999

Predictors of asthma severity in the elderly: results of a community survey in Northeast England.

A number of risk factors for the development and severity of asthma in childhood are known. Particularly, there is information on allergens, excessive use of beta2- agonists, and indoor environmental pollutants. Similar information on elderly patients is lacking. We examined the risk factors for current asthma and for the severity of asthma in 95 elderly subjects (>65 years old) compared to 274 elderly subjects with obstructive spirometry who did not have asthma as defined by the following criteria: symptoms of episodic wheeze, cough, or chest tightness and forced expiratory volume in 1 sec/vital capacity (FEV1/VC) <70% with >15% or 200 mL reversibility in FEV1 to 200 microg salbutamol given from a metered-dose inhaler. The severity of airflow limitation was graded on the basis of the FEV1/VC ratio as mild (60%-70%), moderate (40%-60%), and severe (<40%). Asthma history was collected using the Medical Research Council respiratory questionnaire and a follow-up postal questionnaire. Data were analyzed using multiple logistic regression and the overall goodness-of-fit of the model was checked using the Hosmer-Lemeshow (HL) statistic. History of allergy (to one or more of the following allergens: cat, house dust, or grass or tree pollen) (odds ratio [OR] 25; 95% confidence interval [CI] 13-51; p = 0.0001) and history of childhood wheeze (OR 8; 95% CI 4-9; p = 0.004) were strong predictors of current asthma. Duration of wheezing, smoking history, indoor heating, history of working in coal mines, and sex were not predictors (HL 6.75, degrees of freedom [df] = 8, p = 0.56). Use of >4 puffs of salbutamol/ day (OR 5.3; 95% CI 2-14; p = 0.005), more than 10 years of asthma symptoms (OR 4.2; 95% CI 4.1-36.2; p = 0.0001), and >500 mL reversibility in FEV1 (OR 4.2; 95% CI 1.2-14.3; p = 0.05) were independent predictors of moderate to severe asthma. History of atopy was the strongest predictor of asthma in the elderly population studied. Indoor heating, presence of pets at home, sex, smoking history, and history of working in coal mines were not predictors of asthma. The severity of asthma as assessed by measurement of airflow limitation was related to the frequency of use of beta2-agonists, duration of symptoms of asthma, and increased reversibility of FEV1 to beta2-agonist.

Aged↗

PubMed2005

Contrasting predictive and causal values of predictors and of causes.

Three experiments examined human processing of stimuli as predictors and causes. In Experiments 1A and 1B, two serial events that both preceded a third were assessed as predictors and as causes of the third event. Instructions successfully provided scenarios in which one of the serial (target) stimuli was viewed as a strong predictor but as a weak cause of the third event. In Experiment 2, participants' preexperimental knowledge was drawn upon in such a way that two simultaneous antecedent events were processed as predictors or causes, which strongly influenced the occurrence of overshadowing between the antecedent events. Although a tendency toward overshadowing was found between predictors, reliable overshadowing was observed only between causes, and then only when the test question was causal. Together with other evidence in the human learning literature, the present results suggest that predictive and causal learning obey similar laws, but there is a greater susceptibility to cue competition in causal than predictive attribution.

Adult↗

PubMed2005

Predictors for the efficacy of electroconvulsive therapy: chart review of a naturalistic study.

BACKGROUND: Several variables have been suggested that can predict the efficacy of electro-convulsive therapy (ECT) in patients suffering from depression. The results of studies into these predictors for ECT efficacy are not consistent. METHOD: In a retrospective chart review of patients suffering from major depressive disorder and bipolar disorder according to DSM-IV criteria who have been given ECT in a psychiatric hospital in the Netherlands, predictors for ECT efficacy were explored. Information was gathered for predictors including sex, age, diagnosis, presence of psychosis, duration of index episode, medication treatment failure prior to ECT, medication during ECT course, and ECT variables. ECT was given twice weekly from November 1997 to June 2002. The 17-item Hamilton Rating Scale for Depression (HAM-D) was applied at baseline and weekly during the course. RESULTS: Seventy-three patients suffering from unipolar or bipolar depression were given ECT in the study period, with 56 patients (77%) meeting antidepressant treatment history form criteria for medication treatment failure. With remission defined as a reduction of depressive symptoms of at least 60% from baseline and a HAM-D end score of less than 8, 48 patients (65.8%) remitted. Forward stepwise logistic regression analysis selected only duration of index episode as a significant predictor for ECT efficacy. Medication treatment failure was not found to be a significant predictor. The concurrent use of psychotropic medication during ECT did not influence the efficacy. CONCLUSION: Duration of index episode was the only variable found to significantly predict the efficacy of ECT.

Age Factors↗

PubMed2005

Baseline predictors of response to divalproex in conduct disorder.

BACKGROUND: Successful treatment of conduct disorder remains difficult. On the basis of a positive response to divalproex among adolescent boys with conduct disorder, we conducted an analysis of the impact of baseline comorbid diagnoses and personality factors on the likelihood of treatment response to divalproex. METHOD: Seventy-one adolescent boys with conduct disorder (DSM-IV) and a history of at least 1 offense against persons were randomly assigned to receive high- or low-dose divalproex for 7 weeks. Evaluations included best estimate diagnoses, the Clinical Global Impressions-Severity of Illness scale (CGI-S) and CGI-Improvement scale (CGI-I), the 62-item Weinberger Adjustment Inventory (WAI-62) assessment of distress and restraint, the Response Evaluation Measure assessment of immature and mature defenses, and the Achenbach Youth Self-Report assessment of overall psychopathology. All were conducted at study entry and exit, and the WAI-62 was conducted weekly throughout the 7-week study period. Treatment response was defined as a rating of much improved or very much improved on the CGI-I. Data were collected from June 1997 to April 1998. RESULTS: Fifty-eight subjects completed the study and were eligible for inclusion in the analysis. Plasma divalproex level (p = .003) and immature defenses (p = .004) were significant positive predictors of treatment response, while restraint (p = .01) and level and range of psychopathology (p = .04) were significant predictors of nonresponse. Comorbidities or distress (p = .06) were not significantly associated with treatment outcome. CONCLUSION: Predictors of response to divalproex treatment for conduct disorder were identified, despite the small sample size in this study. The pattern of positive and negative predictors of response to divalproex, an antikindling agent, tends to support a model of kindling-reinforced reactive/affective/defensive/impulsive aggression among adolescent boys with conduct disorder. Additional studies are needed to identify more subtle predictors of treatment response and to clarify the mechanisms contributing to the development of conduct disorder.

Adaptation, Psychological↗

PubMed1993

On our selection: predictors of medical school success.

OBJECTIVE: To review predictors of academic success in one Australian medical students with predictors rated retrospectively. PREDICTORS: Success and involvement in academic and non-academic pursuits over the final two school years and at university, as well as study and external employment variables. RESULTS: Superior performance over the medical course was predicted by younger age and by being involved in debating in the final school year, immediate entry to the course, having English as a first language, completing school in Australia, having a higher Higher School Certificate (or equivalent) English score, as well as leadership responsibilities in the last year at school, with the first two variables remaining significant in a multiple regression analysis. English and communication skills were two of the five predictors of success for students who did not have English as their first language. For students who had English as their first language, the important predictors were younger age and having debated in the final high school year. CONCLUSIONS: These results, considered with some other recent reports, suggest that academic success in a medical course is predicted to a surprisingly high level by competence in English. Both the importance of communication skills to the practice of medicine, and their assessment in those seeking entry to medical schools, are considered.

Achievement↗

PubMed2000

Predictors of bone mass in healthy older men in the community.

OBJECTIVES: To determine the predictors of bone mass (in lumbar spine and femoral neck) in healthy older men living in the community. DESIGN: Cross-sectional study. Bone mineral density (BMD) was measured and known predictors of bone mass and bone turnover were assessed. SUBJECTS AND SETTING: 113 independent, healthy men (70 years and over), not taking glucocorticoid therapy and without medical conditions known to affect bone mass and bone turnover, were recruited from recreational and sports clubs in southern Sydney in April/May 1997. MAIN OUTCOME MEASURES: BMD (measured by dual-energy x-ray absorptiometry); known predictors of bone mass (height; weight; body mass index; calcium level; serum 25-hydroxyvitamin D and free testosterone levels); and markers of bone turnover (serum bone Gla protein and procollagen-1 concentrations, and urinary deoxypyridinoline excretion rates). RESULTS: The mean age of the men was 76.6 years (range, 70-92 years). Mean (SE) BMD of the lumbar spine was 1.143 (0.019) g/cm2 and that of the femoral neck was 0.897 (0.013) g/cm2. BMD values indicating osteoporosis were found in the lumbar spine in 13 men (11.5%) and in the femoral neck in 35 men (31%). The best predictor of lumbar spine BMD was weight (R = 0.37; P = 0.001), and weight- and age-predicted femoral-neck BMD (R = 0.49; P < 0.001). The study group was analysed in two groups with BMD higher or lower than median bone mass corrected for age. Men with lower femoral-neck BMD for age had significantly lower weight, lower lean mass and higher bone Gla protein concentrations. In addition, men with lower lumbar spine BMD for age also had significantly lower fat mass. CONCLUSIONS: These data indicate that measures of body composition, such as weight and lean mass, are the main predictors of bone mass in healthy, community-dwelling older men.

Absorptiometry, Photon↗

PubMed1992

Predictors of thromboembolism in atrial fibrillation: II. Echocardiographic features of patients at risk. The Stroke Prevention in Atrial Fibrillation Investigators.

OBJECTIVE: To identify echocardiographic predictors of arterial thromboembolism in patients with nonrheumatic atrial fibrillation and to determine whether these add to clinical variables for risk stratification. DESIGN: Cohort study of patients assigned to placebo in a randomized clinical trial. SETTING: Five hundred sixty-eight inpatients and outpatients with nonrheumatic atrial fibrillation assigned to placebo therapy at 15 U.S. medical centers from 1987 to 1989 in the Stroke Prevention in Atrial Fibrillation study. Patients were followed for a mean of 1.3 years. MEASUREMENTS: M-mode and two-dimensional (2-D) echocardiograms performed at study entry and interpreted by local cardiologists. The predictive value of 14 echocardiographic variables for later ischemic stroke or systemic embolism was assessed by multivariate analysis. MAIN RESULTS: Left ventricular dysfunction from 2-D echocardiograms (P = 0.003) and the size of the left atrium from M-mode echocardiograms (P = 0.02) were the strongest independent predictors of later thromboembolism. Multivariate analysis of these two independent echocardiographic predictors with the three independent clinical predictors of thromboembolism (history of hypertension, recent congestive heart failure, previous thromboembolism) identified 26% of the cohort with a low risk for thromboembolism (1.0% per year; 95% Cl, 0.2% to 4.0%). Compared with risk stratification using clinical variables alone, echocardiographic results altered thromboembolic risk stratification in 18% of the entire cohort and in 38% of those without clinical risk factors. CONCLUSIONS: Both left ventricular and left atrial variables are significant predictors of thromboembolism in patients with nonvalvular atrial fibrillation. Our results challenge traditional views of the pathogenesis of ischemic stroke in patients with atrial fibrillation and suggest that standard echocardiography contributes to risk stratification, differentiating the one third of patients without clinical risk factors who are at increased risk for stroke from the remainder who may not need antithrombotic prophylaxis.

Aged↗

PubMed1999

Preoperative p53, bcl-2, CD44 and E-cadherin immunohistochemistry as predictors of biochemical relapse after radical prostatectomy.

PURPOSE: Since radical prostatectomy is performed to cure prostate cancer, identification of markers enabling preoperative prediction of relapse after radical prostatectomy is essential to counsel and select patients for adjuvant therapy. Aberrant p53, bcl-2, CD44 and E-cadherin immunohistochemistry has been associated with aggressiveness in prostate cancer. We assessed these biomarkers in biopsy and radical prostatectomy specimens as predictors of biochemical relapse. MATERIALS AND METHODS: A total of 76 patients with untreated clinically localized prostatic adenocarcinoma underwent radical prostatectomy. Preoperative (prostate specific antigen, biopsy Gleason score) and postoperative (pathological stage and margin status) variables, biopsy and radical prostatectomy biomarker immunohistochemistry were correlated with relapse. Univariate and multivariate statistical analyses identified significant predictors. RESULTS: Of the 76 patients 23 (30%) had relapse (mean followup 38 months). Aberrant p53, bcl-2, CD44 and E-cadherin expression was observed in 64, 12, 85 and 12% of biopsies and 57, 20, 64 and 49% of radical prostatectomy specimens, respectively. Biopsy Gleason 7 to 10 and biopsy p53, respectively, gave the highest positive and negative predictive values for relapse. Relapse occurred in 13% of patients with normal biopsy p53 and in half with aberrant p53. Multivariate analysis revealed Gleason score and p53 to be independent preoperative predictors (p = 0.01 and 0.02, respectively). Estimated risk of relapse was 3.5 times higher in patients with Gleason scores 7 to 10 and 24% higher in those with aberrant p53. Significant postoperative predictors were bcl-2, p53, Gleason score and margin status (p = 0.01, 0.01, 0.04 and 0.01, respectively). CONCLUSIONS: Aberrant biopsy p53 is associated with a significantly worse outcome after radical prostatectomy than normal p53, highlighting a potential clinical role for p53. Postoperative p53 and bcl-2 were significant predictors of outcome after radical prostatectomy.

Aged↗

PubMed2000

[Outcomes and predictors of mortality in elderly patients requiring artificial ventilation].

We retrospectively examined the outcomes and the predictors of mortality in 97 patients aged 70 years and over (mean: 79.3 years) who required artificial ventilation for more than 3 hours. The median duration of artificial ventilation was 16 days (range: 1-85). Of these patients, 61% survived ventilator weaning and 37% were discharged from hospital alive. We performed univariate and logistic regression analysis to determine the predictors of dying before weaning and hospital discharge using severity of illness data. The predictors of hospital mortality were examined in 86 patients, excluding those who had malignant disease, all of whom died in hospital. Activities of daily living (ADL) were ranked as "bedridden", "in wheelchair", or "independent". In the three age groups-up to 70 years, 75 to 84 years and 85 years and over-the respective survival rates were 63% (weaned) and 67% (discharged), 69% (weaned) and 39% (discharged), and 33% (weaned) and 12% (discharged); the overall p values being 0.026 (weaned) and 0.003 (discharged). The predictors of dying before weaning according to univariate analysis were as follows: age (p = 0.026), respiratory or cardiac arrest on admission (p = 0.003), acute physiology score (APS) of 25 or more on admission (p = 0.000), systolic blood pressure below 90 mmHg on admission (p = 0.001), hemoglobin less than 11 g/dl (p = 0.044), and total protein less than 6 g/dl (p = 0.007). The predictors of hospital mortality by univariate analysis were as follows: age (p = 0.003), limited ADL (p = 0.001), respiratory or cardiac arrest on admission (p = 0.011), APS 25 or more on admission (p = 0.049), systolic blood pressure less than 90 mmHg on admission (p = 0.002), hemoglobin less than 11 g/dl (p = 0.028), and GOT or GPT more than 50 IU (p = 0.038). The relative risk of dying before weaning decreased in the order: respiratory or cardiac arrest on admission, systolic blood pressure less than 90 mmHg on admission, total protein less than 6 g/dl (Odds ratios: 6.04, 3.90, 3.51, respectively), or, respiratory or cardiac arrest on admission, APS more than 25 in admission, total protein less than 6 g/dl (Odds ratio: 6.94, 3.99, 3.76, respectively). The relative risk of hospital mortality decreased in the order: "bedridden", systolic blood pressure less than 90 mmHg on admission, "with wheel chair" (Odds ratios: 11.76, 6.44, 3.57, respectively). In the older patients, successful ventilator weaning was not indicative of hospital discharge. Ventilator weaning depended mainly on acute health status on admission, but hospital discharge depended also on the presence of limited ADL and preexisting malignant disease.

Activities of Daily Living↗

PubMed2000

[Predictors of prognosis after angioplasty in the unprotected left main coronary artery].

OBJECTIVES: The short-term and long-term predictors of outcome after coronary angioplasty in the unprotected left main coronary artery were investigated. METHODS: The procedure was performed in 122 consecutive patients for de novo lesions without myocardial infarction in our hospital between April 1986 and October 1998, including 16 emergency cases. Procedures were directional coronary atherectomy (73 patients), balloon angioplasty (31 patients), and stent implantation (18 patients). There were 101 males and mean age was 68 +/- 10 years. Follow-up angiography was performed in 98% of discharged patients, and all patients were clinically followed up for more than 1 year. Clinical and angiographic predictors of in-hospital and long-term outcome were evaluated. RESULTS: The in-hospital mortality was 5.7% (7 of 122 patients). Multivariate analysis revealed that more patients were admitted as emergency cases (57% vs 10%, p = 0.0088), with left ventricular ejection fraction < or = 35% (57% vs 22%, p = 0.029) and renal failure (43% vs 3%, p = 0.0004) finally died. Mean follow-up period was 3.5 years. Estimated survival rate was 77.1%, and cardiac-death free survival rate was 81.0% at 5 years by the Kaplan-Meier method. Univariate analysis showed that the predictors of cardiac death were emergency angioplasty, renal failure, decreased left ventricular ejection fraction, multivessel disease and unstable angina and/or congestive heart failure. Cox's regression model showed that renal failure (p = 0.0004) and multivessel disease (p = 0.0075) were significant predictors of long-term prognosis. CONCLUSIONS: Renal failure was the strongest predictor of outcome after unprotected left main coronary artery angioplasty.

Aged↗

PubMed2000

Detecting predictors of new-born survival by fuzzy sets based machine learning system.

Machine learning system based on fuzzy sets was used for detecting predictors of new-born survival within the first 15 days after birth. The system processed real-life medical data of 566 new-borns; 528 survived and were classified as "alive", the remaining 38 did not survive and were classified as "died". The state of each new-born was described by values of 112 attributes. The system detected five of the attributes as the best predictors for survival (asphyxia, apnoea, birth weight, reanimation and gestation age). To evaluate are the selected attributes relevant for prediction, the following procedure was used: 566 new-borns were divided into two groups by random selection; 396 (70%) randomly selected new-borns formed the learning group, the remaining 170 new-borns formed the test group. The system acquired prediction knowledge by processing data of the learning group new-borns. Using the knowledge thus acquired, the system predicted survival for each new-born from the test group several times, each time using another set of attributes: once, using all 112 attributes; once, using attributes detected by the system as the best predictors; once, using remaining attributes without the best predictors. After the predictions for all new-borns from the test group had been finished, classification accuracy, sensitivity (accuracy for "alive") and specificity (accuracy for "died") were calculated as measures of prediction success with particular sets of attributes. The results have shown that the best prognostic accuracies were achieved when prediction was done using those attributes which the system detected as the best predictors for new-born survival.

Artificial Intelligence↗

PubMedDate not supplied

[Predictors of early death during dialysis].

The mortality among end-stage renal failure (ESRF) patients undergoing renal replacement therapy (RRT) remains high. An important proportion of these patients die shortly after the initiation of RRT. The present study aims to determine the best predictors for the early mortality in a group of 140 ESRF patients who initiated RRT between october 96 and december 99. The mean age of the study group was 61 +/- 13 years, and the mean follow-up time was 20 +/- 12 months. Diabetic nephropathy was the most prevalent etiology of renal failure (30%). The following data, collected immediately before the initiation of RRT, were included as independent variables: demographic and clinical characteristics, including the nutritional status established by the Subjective Global Assessment (SGA), follow-up time in the predialysis clinic (less or longer than 3 months), EPO therapy, vascular access, renal function (creatinine and urea clearances, and Kt/V urea), hematological and biochemical data including serum albumin, bicarbonate, transferrin, PTH and C-Reactive protein, as well as the protein catabolic rate and the percent of lean body mass normalized for ideal body weight, calculated from the 24 h total urine excretion of nitrogen and creatinine. The Cox proportional hazard regression model, stratified for an age over or less than 65 year, was utilized to determine the best predictors for the mortality during the study period. Sixty percent of patients had at least one comorbid condition, and 35% had cardiovascular diseases. Mild-moderate or severe malnutrition was observed in 48% of patients. The creatinine clearance and Kt/V urea before the initiation of RRT were: 9.50 +/- 2.64 ml/min/1.73 m2 and 1.47 +/- 0.44, respectively. Forty-one patients died during the study period (annual death rate: 17%). The best predictor of mortality was the nutritional status assessed by the SGA (OR: 2.32, IC 95% 1.54-3.48, p < 0.0001). In a second analysis in which the SGA was removed from the model, the previous history of cardiovascular diseases (OR: 2.07, CI 95%: 1.06-4.06, p = 0.032), and the percent of lean body mass/ideal weight (OR: 0.96; IC 95%: 0.93-0.99; p = 0.042), proved to be the best predictor of mortality. In conclusion, nutritional indices prior to the initiation of RRT, and the previous history of cardiovascular diseases were the best predictors of the early mortality in this unselected population on dialysis. Because nutritional status appeared to be a marker of the severity of the comorbid conditions, a better control of the number and severity of these comorbid conditions may be the best way for reducing the mortality in patients on RRT.

Adolescent↗

PubMed2002

Predictors of outcome in patients with tuberculous meningitis.

OBJECTIVE: To assess predictors of mortality and neurological sequelae in patients with tuberculous meningitis (TBM). METHODS: Patients with TBM treated at 12 university hospitals in Turkey between 1985 and 1997 were evaluated using a standardised protocol applied retrospectively. Variables associated with hospital mortality as well as with the presence of neurological sequelae at 6 months were determined using logistic regression models. RESULTS: Four hundred and thirty-four patients between the ages of 13 and 83 years (mean 33 years) were evaluated. Sixty-eight per cent of these patients presented with Medical Research Council Stage II or III. One hundred and one patients (23.3%) died and 67 (27%) of evaluable survivors had neurological sequelae. In multi-variable analysis, convulsion (OR 3.3, 95%CI 1.2-9.0, P = 0.02), comatose mental status (OR 6.0, 95%CI 3.6-10.2, P = 0.01), and delayed or interrupted treatment (OR 5.1, 95%CI 2.4-11.2, P = 0.01) were shown to be predictors for mortality. The presence of extra-meningeal tuberculosis (OR 2.1, 95%CI 1.1-4.2, P = 0.035), cranial nerve palsy (OR 2.6, 95%CI 1.4-4.2, P = 0.01), hemiparesia/focal weakness (OR 9.3, 95%CI 3.8-22.6, P = 0.01), hemiplegia/multiple neurological deficit (OR 7.1, 95%CI 2.14-23.38, P = 0.01) and drowsiness (OR 4.2, 95%CI 2.04-8.82, P = 0.01) were independent predictors of neurological sequelae at 6 months following hospital discharge. CONCLUSION: The results of this study emphasise the importance of prompt and uninterrupted anti-tuberculosis therapy for tuberculous meningitis. The presence of seizures or coma on admission to hospital are important predictors for mortality, while the presence of focal neurological signs is a predictor for persistent neurological sequelae in survivors.

Adolescent↗

PubMed2002

Motives for exercise participation as predictors of exercise dependence among endurance athletes.

BACKGROUND: To investigate whether motives for exercise participation predicted exercise dependence (ED) among endurance athletes. The rationale for the study centred upon a test of the affect regulation model utilising constructs that form part of the Self-Determination Theory as predictors of ED. It was hypothesised that non self-determined motivation, specifically external regulation, would be predictive of ED. METHODS DESIGN: correlational design, with a time gap between predictor and dependent variables. SETTINGS: competitive sports environment. PARTICIPANTS: 188 competitive endurance athletes were recruited from amateur sports clubs. INTERVENTIONS: none. MEASURES: the Behavioural Regulation in Exercise Questionnaire was administered before a training session to measure the predictor variables (motives for exercise participation), and the Running Addiction Scale was administered before a similar training session, one week later, to measure the dependent variable (ED). RESULTS: Multiple regression analysis revealed that the strongest predictor variable of ED was introjected regulation (beta=0.29, p<0.001), followed by identified regulation (beta=0.19, p<0.05). External regulation and intrinsic motivation were weak and non-significant predictors. The total variance in ED explained by the exercise participation motives was 15% (R(2)= 0.15). CONCLUSIONS: ED was predicted by motives that did not support the tenets of the affect regulation model. Results are discussed in light of the potential influence of exercise participation motives on ED and their implications for intervention strategies and diagnosis of the ED syndrome.

Adult↗

PubMed2002

Predictors of secondary cancer treatment in patients receiving local therapy for prostate cancer: data from cancer of the prostate strategic urologic research endeavor.

PURPOSE: Secondary cancer treatment is common after definitive local therapy for prostate cancer and it may be an indicator of the efficacy and cost of primary local treatment. We determined predictors of secondary cancer treatment in patients initially treated with radical prostatectomy or external beam radiation. MATERIALS AND METHODS: We examined 2,336 patients in Cancer of the Prostate Strategic Urologic Research Endeavor, a longitudinal registry of patients with prostate cancer, who underwent initial treatment with radical prostatectomy (1,744) or external beam radiation (592). Patients had at least 1 month of followup and all pretreatment information was available. The percent of patients receiving secondary cancer treatment, time to secondary treatment and type of secondary treatment delivered was determined. Multivariate analysis was done to determine independent predictors of secondary cancer treatment. In patients initially treated with prostatectomy a similar analysis was performed to identify predictors of receiving androgen deprivation versus radiation. RESULTS: A total of 590 patients (25%) received secondary cancer treatment, including prostatectomy in 391 (22%) and radiation in 199 (34%). Secondary cancer treatment was equally divided between radiation and androgen deprivation in 52% and 47%, respectively, of those initially treated with prostatectomy, while 92% initially treated with radiation received androgen deprivation. Predictors of any secondary treatment included patient age, biopsy Gleason score and prostate specific antigen at diagnosis. There was a trend toward increased secondary treatment more than 6 months after local therapy in patients initially treated with radiation. Increased age and lymph node metastases were independent predictors of receiving androgen deprivation after prostatectomy, while there was increased use of radiation in patients with positive surgical margins or extracapsular disease extension. CONCLUSIONS: Secondary treatment differs in patients initially treated with radical prostatectomy and radiation. Pretreatment factors can be used to counsel patients regarding the likelihood of secondary treatment, while age and prostatectomy results appear to determine the type of secondary treatment in those initially treated with prostatectomy.

Aged↗

PubMed2002

Risk factors for stroke and predictors of one-month mortality.

BACKGROUND: Stroke is the third most common cause of death in Malaysia.The prevalence of risk factors and predictors of mortality of stroke in Malaysia are poorly understood. AIM: To identify the prevalence of major risk factors for stroke and to determine predictors of one-month mortality. METHOD: Prospective study of all stroke patients admitted to Penang Hospital between December 1998 and November 1999. All patients were subjected to brain CT. Predictors of one-month mortality: systolic and diastolic hypertension, hyperglycaemia, type of stroke, age > or = 70, poor Glasgow coma score (GCS) on admission and deterioration of score were assessed. RESULTS: A total of 246 (139 male and 107 female) patients were included. Median age was 65 years. Hypertension was the commonest risk factor (71.5%) followed by diabetes mellitus (40.2%) and hyperlipidaemia (37%). 74.8% of the cases were ischaemic in origin and 25.2% haemorrhagic. Mortality at one month was 20.3%. Using multivariate analysis and logistic regression, deterioration of GCS (OR = 46.04), poor GCS on admission (OR = 12.35) and haemorrhagic stroke (OR = 3.45) were independent predictors of one-month mortality. CONCLUSION: Hypertension and diabetes mellitus are the commonest risk factors of stroke among patients admitted to a tertiary hospital in Malaysia. Significant predictors of one-month mortality include the admission GCS, deterioration of GCS and haemorrhagic stroke.

Aged↗

PubMed2003

Alpha-1-acid glycoprotein as an independent predictor for treatment effects and a prognostic factor of survival in patients with non-small cell lung cancer treated with docetaxel.

PURPOSE: To identify predictors of treatment outcome and survival in patients with non-small cell lung cancer (NSCLC) treated with docetaxel. EXPERIMENTAL DESIGN: The data were collected from 180 NSCLC patients enrolled in six docetaxel Phase II studies at a dose of 100 mg/m(2). Clinical end points for this study were safety reported as the first course adverse events requiring dose reduction, and efficacy was measured by response rate and survival. The independent variables included docetaxel dose, individual estimates of clearance, area under the plasma concentration time curve, extent of previous treatment, and covariables related to the patient's demographics, extent of disease, and performance status. The data were analyzed using a logistic regression model for response and severe adverse events and a Cox multivariate regression model for survival. RESULTS: Docetaxel exposure as measured by the area under the plasma concentration time curve was the only significant predictor (P < 0.0001) of severe toxicity during the first course of therapy. Baseline alpha1-acid glycoprotein (AAG) was the only significant predictor of response with an odds ratio of 0.44 for changes in AAG from 1.11 to 1.85 grams/liter (P = 0.0039). Cumulative dose, AAG, and extent of disease were independent predictors of survival (P < 0.005). The median survival varied from 15.6 months for patients with a low AAG (AAG < or = 1.11 grams/liter) to 5.5 months for patients with a high AAG (AAG >/= 1.85 grams/liter). CONCLUSION: AAG appears to be an independent predictor of response and a major objective prognostic factor of survival in patients with NSCLC treated with docetaxel chemotherapy.

Adult↗