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PubMed2006

Apolipoprotein B: a predictor of inflammatory status in postmenopausal overweight and obese women.

AIMS/HYPOTHESIS: Inflammation is implicated in the development of type 2 diabetes and CHD, but the trigger of inflammation is unclear. Although in vitro and animal studies support a role of elevated levels of atherosclerotic lipoproteins in the activation of inflammation, plasma cholesterol cannot predict inflammatory markers in humans. Moreover, the association between inflammatory markers and other traditional risk factors of diabetes and CHD is unclear. To increase our knowledge of in vivo regulation of inflammation, we examined the association between several traditional risk factors and inflammatory markers. We hypothesised that because apolipoprotein B (ApoB) reflects atherogenic particle number, it is the primary predictor of inflammatory status. SUBJECTS, MATERIALS AND METHODS: We examined the association between several traditional risk factors and plasma high-sensitivity (hs) C-reactive protein (CRP), hsTNF-alpha, soluble TNF receptor 1, IL-6, orosomucoid, haptoglobin and alpha(1)-antitrypsin in 77 non-diabetic overweight and obese postmenopausal women. RESULTS: The inflammatory markers correlated positively with total and abdominal adiposity, blood pressure, 2-h OGTT glucose, insulin resistance, triglyceride, total/HDL cholesterol, ApoB, ApoB:apolipoprotein A1 (ApoA1) ratio and Framingham CHD risk points. They correlated negatively with ApoA1, and total, LDL and HDL cholesterol. ApoB was an independent predictor of the interindividual variation in IL-6, hsCRP, orosomucoid, haptoglobin and alpha(1)-antitrypsin (R (2) range 8-40%); other risk factors were less predictive. Compared with BMI-matched control subjects, women with hyperapobetalipoproteinaemia (hyperapoB) had higher hsTNF-alpha, IL-6, hsCRP and orosomucoid (increase 17-104%). CONCLUSIONS/INTERPRETATION: ApoB is the primary predictor of inflammatory markers in postmenopausal overweight and obese women. Given elevated levels of inflammatory markers in hyperapoB women, we hypothesise that hyperapoB women may have an increased risk of developing both CHD and diabetes.

Aged↗

PubMed2006

The clinical utility of measured kyphosis as a predictor of the presence of vertebral deformities.

UNLABELLED: Meaured spinal kyphosis, as a predictor of prevalent and incident vertebral deformity, was examined in older women (>70 years) and found to not have sufficient sensitivity or specificity to justify its use as a predictor of present or future vertebral deformity risk. INTRODUCTION: Kyphosis may be attributable to vertebral deformity and was investigated as a clinical tool for predicting the presence and future risk of vertebral deformity. METHODS: Kyphosis was measured in 434 women aged 70 years or older and the kyphosis index (KI) calculated. Prevalent and incident vertebral deformities were assessed by morphometric X-ray absorptiometry (MXA). The predictive value of KI was examined. RESULTS: Severity of kyphosis was categorised by tertile of KI; 65% of anterior thoracic deformities occurred in the 33% of subjects in the highest (most kyphotic) tertile. Using this tertile as a predictor of anterior thoracic deformity, the probability for a positive test rose from 14% for the whole population to 28% and for a negative test the probability fell to 8%. For any spinal deformity the highest tertile of KI increased the probability of a positive test from 34% to 42% and reduced the probability for a negative test to 30%. The incidence of new deformities was 6% over 4 years; a high KI tertile did not increase the probability of any vertebral deformity. CONCLUSIONS: Severe kyphosis does not increase the probability of detection of a prevalent or incident spinal deformity sufficiently to make it a useful method of selecting patients for further evaluation of spinal deformity.

Absorptiometry, Photon↗

PubMed2001

Hormonal and anthropometric predictors of bone mass in healthy elderly men: major effect of sex hormone binding globulin, parathyroid hormone and body weight.

Osteoporosis in men is a significant health problem, and factors associated with bone mass are being investigated. Although osteoporosis is a typical feature of hypogonadism, the influence of testosterone levels and other hormonal factors on bone mass of eugonadal males is unknown. Our aim was to identify several anthropometric and hormonal predictors that could be responsible for the variability in bone mineral density (BMD) in healthy men. One hundred elderly men (age 68 +/- 7 years) were investigated in this cross-sectional study. BMD was measured by dual-energy X-ray absorptiometry (DXA) at the lumbar spine and femoral sites (femoral neck, Ward's triangle, trochanter, intertrochanter and total femur). Anthropometric measures were obtained including: weight, height, body mass index (BMI), waist-hip ratio and testicular volume. Hormonal data measures were total, free and bioavailable testosterone, dihidrotestosterone, estradiol, sex hormone binding globulin (SHBG), insulin-like growth factor I (IGF-I), intact parathyroid hormone (iPTH) and 1,25-dihydroxyvitamin D3 (1,25(OH)2D3). One subject was excluded because primary hypogonadism was found. SHBG levels were increased in 53.5% of men, and 8% showed a mild increase in iPTH levels. Twenty-eight subjects had densitometric criteria of osteoporosis (T-score < or = -2.5). All BMD sites were positively correlated with body weight (r = 0.29-0.48, p < 0.001) and BMI (r = 0.24-0.47, p < 0.001). A negative correlation between SHBG levels and intertrochanter (IT) and total femur (TL) BMD was found (r = -0.24 and r = -0.22, p < 0.05). After adjusting for age and BMI, SHBG and IGF-I levels were negatively correlated (r = -0.33, p < 0.001). In multiple linear regression analysis independent predictors of bone mass were body weight, SHBG and iPTH levels. The best predictive model accounted for 24-40% of the observed variability of BMD. However, most of the BMD variability was explained by body weight. In conclusion, in our study body weight, SHBG and iPTH levels were predictors of BMD in healthy elderly men.

Absorptiometry, Photon↗

PubMed1998

Bone mineral density is a predictor of survival.

The purpose of this study was to examine the relationship between bone mineral density (BMD) and survival in both sexes and to compare BMD with other established risk factors such as blood pressure and cholesterol. A population-based prospective study of 1924 individuals (850 men, 1074 women) was performed in Göteborg from 1980 to 1983. Measurements of BMD were obtained in 1468 (76%) of the participants (653 men, 815 women). This selection of individuals generated 10,965 person years, and death was registered for 289 men and 197 women in the 7-year period (2661 days) after bone mineral measurement. Later information on date of death was obtained from the official population register. This information covers 7 years from the time of survey of the last examined participant (in Dec. 1983). At the beginning of the study, BMD was measured in the calcaneus by dual photon absorptiometry (DPA), and blood pressure, serum cholesterol, serum triglycerides, and body mass index (BMI) were also recorded. The study was coordinated with the National Register of Causes of Death and the National Cancer Register. A modified version of the Cox proportional hazards model was used to calculate and determine the age-adjusted relations between nontrauma mortality and BMD. When the various quartiles of BMD were compared prospectively from 70, 75, and 79 years of age with survival figures during the 2661-day follow-up period, the first and the second quartiles with the lowest BMD at entry showed the lowest survival rate in both men (P = 0.01) and women (P = 0.01). A decrease of 1 SD of BMD in a univariate analysis was associated with a 1.39-fold increase in mortality in both men (95% confidence interval 1.25-1.56, P < 0.001) and women (95% confidence interval 1.22-1.58, P < 0.001), and a multivariate analysis demonstrated a relative risk of 1.23 (95% confidence interval 1.10-1.41, P < 0.001) in men and 1.19 (95% confidence interval 1.02 to 1.39, P = 0.019) in women. All relations were adjusted for sex, age, and follow-up. This study indicates that BMD is a predictor of survival, especially for subjects over 70. Bone mineral density was found to be a better predictor of death than blood pressure and cholesterol. This study indicates that, after adjustments have been made for diseases, low bone mass is an independent predictor of mortality and might be a marker of general health or functional aging. Its measurement might therefore be a valuable tool in general health investigations.

Aged↗

PubMed2001

Predictors of bone mineral density in healthy males.

Osteoporosis (OP) is a growing health problem not only in women but also in men. It is well known that men lose bone during aging and are at risk for OP, but the risk factors for OP in men remain controversial. To assess determinants of bone mineral density (BMD) in the spine and femoral neck, 37 healthy men aged 43-73 years were measured using dual photon absorptiometry. Predictors of lumbar spine and femoral neck BMD were determined using multiple linear regression analysis. Backward elimination procedure was used to identify variables significantly related to BMD. The independent variables entered the regression model included age; body mass index (BMI); smoking history; alcohol intake; urinary calcium and hydroxyproline; and serum concentrations of osteocalcin, parathyroid hormone, testosterone, growth hormone, and cortisol. Backward regression analysis indicated that testosterone, cortisol, and BMI were significant predictors of BMD in the lumbar spine while testosterone, hydroxyproline, and osteocalcin were significant predictors of BMD in the femoral neck. Testosterone, cortisol, and BMI accounted for 44% of the total variance in lumbar spine BMD, and testosterone, hydroxyproline, and osteocalcin accounted for 20% of the total variance in femoral neck BMD. These observations suggest that testosterone, cortisol and BMI are determinants of lumbar spine BMD, while testosterone, urinary hydroxyproline, and osteocalcin are determinants of femoral BMD in healthy men.

Adult↗

PubMed2005

Predictors of poor outcome after selective dorsal rhizotomy in treatment of spastic cerebral palsy.

OBJECTIVES: The purpose of the study was to determine if there are preoperative clinical characteristics that might be predictive of a poor outcome after selective dorsal rhizotomy (SDR) surgery in children with spastic cerebral palsy (CP). METHODS: A retrospective analysis was performed on 174 children who had undergone SDR from 1983 to 2001. Patients were divided into two groups according to their outcome at approximately 1 year after surgery: "acceptable" or "poor" outcome. As predictors of outcome, the factors compared were age at operation, types of CP (diplegia, quadriplegia), history of prematurity, prior lower limb orthopedic surgeries, history of seizures, dystonic limbs, opisthotonic posturing, lumbar hyperlordosis, truncal hypotonia, preoperative ambulatory function, preoperative Gross Motor Function Classification System (GMFCS) scores, and presence of intellectual delay and speech delay. RESULTS: Eleven children (6.3%) had a "poor" outcome. The type of CP (P<0.001) and intellectual delay (P=0.015) were significant predictors of outcome in the univariate regression analysis, but only the type of CP retained significant predictive power in the multivariate analysis. CONCLUSION: These data suggest that preoperative diagnosis is the strongest predictor of outcome after SDR. Intellectual delay demonstrated predictive power only in the univariate model, suggesting that it might have some prognostic value but less than the diagnosis.

Adolescent↗

PubMed2001

Predictors of favorable outcome in elderly stroke patients two years after discharge from geriatric rehabilitation.

This study was done to determine the independent predictors of long-term survival and long-term functional outcome in geriatric stroke patients with a high level of co-morbidity. We prospectively recruited 302 consecutive patients transferred from local hospitals of acute care to inpatient geriatric rehabilitation with a median of 23 days after stroke. The cohort with a mean age of 75.1 (range 60-90) years was followed up for 2 years after discharge from rehabilitation. The 24 month survival rate was 71.2%. Urinary continence (p = 0.000), younger age (p = 0.000), and absence of coronary artery disease (CAD) (p = 0.039) were predictors of survival. Independence in activities of daily living (Barthel Index (BI) > or = 85) 24 months after discharge was 43.2% and predicted by an admission BI > or = 50 (p = 0.000), urinary continence (p = 0.007), and absence of CAD (p = 0.018). Good functional outcome by the Modified Rankin Scale (MRS < or = 3) 24 months after discharge was 38.4%. It was predicted by absence of CAD (p = 0.001), first-ever stroke (p = 0.014), admission BI > or = 50 (p = 0.024), urinary continence (p = 0.025), mild motor paresis (p = 0.032), and good sitting balance (p = 0.039). Our study of a relatively aged and co-morbid stroke cohort confirmed most of the well-known predictors of outcome. A new result is that CAD also seems to be an important determinant of long-term outcome.

Aged↗

PubMed2005

One year outcome in first episode schizophrenia. Predictors of relapse.

The aim of this study was to identify the predictors of outcome at one year follow-up after the first psychotic episode of schizophrenia. Seventy-nine first-episode schizophrenia patients were assessed monthly with the Brief Psychiatric Rating Scale (BPRS), Scale for Assessment of Positive Symptoms (SAPS), and Scale for Assessment of Negative Symptoms (SANS) after discharge from their first hospitalization. Outcome measures were presence of relapse and rehospitalization, level of global functioning, employment status and severity of symptoms at one year. A total of 33% of the patients had a relapse, and 12.1% were rehospitalized during one year follow-up. Premorbid childhood functionality was worse in patients who had relapse, but there was no correlation between premorbid adjustment scores and BPRS, SANS and SAPS scores at one year. There was no difference in duration of untreated psychosis (DUP) between patients who had relapse and not; however, the patients who had double relapse, had longer DUP than those without relapse. The time period between discharge and rehospitalization was shorter in patients with longer DUP. Functionality in childhood and noncompliance to the treatment independently contributed to the relapse rate. Functionality in late adolescence independently contributed to the Global Assessment of Functioning (GAF) scale score at one year and the GAF score at discharge appeared as a predictor of employment. The results of the present study suggest that treatment compliance and early premorbid adjustment level seem to be important predictors of relapse rate in first episode schizophrenia.

Adolescent↗

PubMed2004

Study on frequency and predictors of dementia after ischemic stroke: the Chongqing stroke study.

OBJECTIVE: We studied a large hospitalized cohort of patients aged 55 years and over with acute ischemic stroke to identify the frequency and predictors of poststroke dementia. METHODS: A total of 434 consecutive patients with ischemic stroke were enrolled in this study. During admission, the demographic data, vascular risk factors, stroke features, and neurological status information were collected. All subjects were examined by a battery of neuropsychological tests during admission and 3 months after stroke. Logistic regression analysis was used to find the predictors of poststroke dementia. RESULTS: (1) The frequency of poststroke dementia was 27.2%, that of stroke-related dementia was 21.6%, and that of dementia after first-ever stroke was 22.7% 3 months after stroke. (2) Univariate analysis indicated that older age, low educational level (<or=6 years), everyday drinking, diabetes mellitus, atrial fibrillation, prior stroke, left carotid territory infarction, embolism, multiple stroke lesions, dysphasia, and gait impairment were more frequent in the patients with poststroke dementia. (3) Multivariate analyses demonstrated that age (OR 1.179, 95%CI 1.130-1.230), low educational level (OR 1.806, 95 %CI 1.024-3.186), everyday drinking (OR 3.447, 95 %CI 1.591-7.468), prior stroke (OR 2.531, 95 %CI 1.419-4.512), atrial fibrillation (OR 3.475, 95%CI 1.712-7.057), dysphasia (OR 5.873, 95 %CI 2.620-13.163), and left carotid territory infarction (OR 1.975, 95%CI 1.152-3.388) were associated with poststroke dementia. CONCLUSIONS: The frequency of dementia is about one-forth of patients with ischemic stroke 3 months after stroke. Independent predictors of poststroke dementia include age, low educational level, everyday drinking, prior stroke, dysphasia, atrial fibrillation, and left carotid territory infarction.

Aged↗

PubMed2005

Previous antiplatelet therapy is an independent predictor of 30-day mortality after spontaneous supratentorial intracerebral hemorrhage.

BACKGROUND: Intracerebral hemorrhage (ICH) constitutes 10% to 15% of all strokes. Despite several existing outcome prediction models for ICH, there are some factors with equivocal value as well as others that still have not been evaluated. PATIENTS AND METHODS: All patients with first ever supratentorial ICH presenting to our institution between December 1995 and December 2002 were prospectively enrolled into the study. Patients with historic modified Rankin Scale > 2 and those under anticoagulant treatment or with multiple ICH were excluded. The following parameters were analyzed in 194 consecutive patients: age, gender, past history of hypertension, diabetes mellitus, hypercholesterolemia, past history of ischemic stroke, presence of ischemic heart disease or cardioembolic disease, current antiplatelet treatment, current alcohol overuse, smoking, Glasgow Coma Scale score (GSS) at admission, volume and location (deep or lobar) of ICH, ventricular extension, glycemia and temperature at admission, and leukoaraiosis. We correlated these data with the 30-day mortality identifying the independent predictors by logistic regression analysis. RESULTS: Factors independently associated with 30-day mortality were: age, Glasgow Coma Scale score at admission, ICH volume, ventricular extension, glucose level at admission, and previous antiplatelet use. CONCLUSIONS: Apart from the classical outcome predictors, the previous use of antiplatelet agents and the glucose value at admission are independent predictors of 30-day mortality in patients suffering a supratentorial ICH.

Age Factors↗

PubMed2006

Amyotrophic lateral sclerosis: early predictors of prolonged survival.

OBJECTIVE: In order to define the predictors of prolonged survival available at the time of first examination we performed a historical cohort study of amyotrophis sclerosis (ALS) patients referred to our ALS Clinic over the last 20 years. METHODS: In a group of 1034 patients with the diagnosis of definite or probable ALS the effects of individual prognostic factors on tracheostomy-free survival were assessed with the Kaplan-Meier life-table method. The prognostic value of each factor was estimated using univariate and multivariate Cox proportional hazard analyses. RESULTS: The median survival time was 3.45 years, (95%CI 3.27-3.74). Both the univariate and multivariate Cox models indicated that younger age, limb site of onset, longer diagnostic delay, lower Appel ALS score (AALSS) at first examination, lower AALSS-rate of change between first symptom and first exam (preslope), and higher baseline forced vital capacity (FVC) were associated with longer survival. In addition, four factors: age, diagnostic delay, baseline FVC and AALSS preslope have been identified as independent predictors of survival in our patient population. CONCLUSIONS: The identification of younger age, limb site of onset and longer diagnostic delay as predictors of prolonged survival in ALS clinic population supports the findings of several, earlier studies that were based on smaller groups of patients. More significantly, several additional variables assessed at the first examination predict longer survival: lower baseline AALSS, lower AALSS- preslope and higher baseline FVC. All of these parameters are of value in patient management and in clinical trial development.

Adult↗

PubMed1999

Medial temporal lobe atrophy and memory dysfunction as predictors for dementia in subjects with mild cognitive impairment.

To determine whether the medial temporal lobe is atrophic in subjects with mild cognitive impairment, and whether atrophy of this structure is a better predictor of dementia than memory dysfunction. Forty-five noninstitutionalized subjects aged 65-85 years were randomly selected from a population based study to obtain a sample with Alzheimer's disease (AD; n = 7), and a clinically nondemented sample (n = 38). Twenty of the latter subjects displayed some cognitive impairment and fulfilled CAMDEX criteria for "minimal dementia." Coronal T1-weighted magnetic resonance imaging was used to visualize the medial temporal lobe. The volume of the parahippocampal gyrus and hippocampus was measured, and medial temporal lobe atrophy was assessed qualitatively. The memory subscore from the CAMCOG was used as a measure of memory functioning. The follow-up period was 3 years. Nine subjects who were diagnosed as being minimally demented at baseline met the criteria for AD during follow-up. At baseline the volume of the parahippocampal gyrus of these subjects was smaller than that of the other subjects with minimal dementia. The memory score was the best predictor of clinical outcome. All medial temporal lobe measures increased the accuracy of prediction compared with only the memory score, by reducing the number of false-negative classifications of dementia. Severe medial temporal lobe atrophy is present even in some subjects with mild cognitive impairment and is an indicator of subsequent AD. The absence of medial temporal lobe atrophy, however, does not exclude the development of dementia. In the majority of subjects memory impairment was a better predictor of dementia than atrophy of the medial temporal lobe. The combination of the two increased predictive accuracy. Nondemented subjects with severe atrophy of the medial temporal lobe could be enrolled in drug trials aimed at slowing the progression of AD.

Aged↗

PubMed2005

Predictors of changes in sick leave in workers with asthma: a follow-up study.

OBJECTIVE: The aim of this prospective study was to investigate predictors of 1-year changes in sick leave in workers with asthma. METHODS: The initial cohort consisted of 111 workers with asthma. One-hundred and one participants completed the follow-up after 1 year. Self-reported sick leave over the past 12 months was reported at baseline and at follow-up. At the start of this study, all participants completed questionnaires on adaptation to functional limitations, psychosocial variables, working conditions, lung function characteristics, disease history characteristics, health complaints and functional limitations, and person characteristics ('potential predictors'). Three multivariate logistic regression models were calculated, with an increase in sick leave, a decrease in sick leave, and stable high sick leave as dependent (outcome) variables, and the potential predictors as independent (explanatory) variables. RESULTS: An increase in sick leave was predicted by a lower level of education and perceiving more functional limitations in activities of daily life. A decrease in sick leave was predicted by spending all energy at work less often and perceiving fewer health complaints in social activities (adaptation criteria 4 and 5). Stable high sick leave was predicted by less job satisfaction, perceiving more support from the employer and perceiving more health complaints in social activities (adaptation criterion 5). Lung function characteristics, or disease history characteristics were not predictive for changes in sick leave in any of the groups. CONCLUSION: We conclude that adaptation to functional limitations played a major role in changes in sick leave in workers with asthma. Lung function characteristics hardly played a role.

Adult↗

PubMed2005

Metabolic and phenotypic characteristics of human skeletal muscle fibers as predictors of glycogen utilization during electrical stimulation.

Characteristics of skeletal muscle such as fiber type composition and activities of key metabolic enzymes have been purported to affect glycogen utilization. However, the relative importance individual factors may have in predicting glycogen utilization of individual muscle fibers has not been addressed. Thus, we sought to determine the relative importance that metabolic characteristics and phenotypic expression of individual fibers have in predicting fiber specific glycogen utilization during neuromuscular electrical stimulation (NMES) exercise. Biopsies were taken from the m, vastus lateralis (VL) of eight recreationally active males before and immediately after 30 min of non-fatiguing NMES and analyzed for type (I, IIa and IIx), succinate dehydrogenase activity (SDH), glycerol-phosphate dehydrogenase activity (GPDH), quantitative-actomyosin adenosine triphosphatase activity (qATPase), and glycogen content. Our results demonstrate that a ratio of enzyme activities representing pathways for energy supply and energy demand (SDH: qATPase) accounted for more of the variance in glycogen utilization (y=0.2091 e(-0.0329x ), R2=0.622, P< or = 0.0001) than SDH (R2=0.321) or qATPase (R2=0.365) alone. Fiber phenotype was also a significant predictor of glycogen utilization, but to a lesser extent than the other variables studied (R2=0.201). A ratio of the activities of enzymes representing pathways of energy supply and energy demand, represented by SDH:qATPase, is a better predictor of glycogen utilization than either of its components independently while fiber phenotype, although a statistically significant predictor of glycogen utilization, may not be the most appropriate determinate of the functional characteristics of an individual fiber.

Adenosine Triphosphatases↗

PubMed2006

Predictors of success after laparoscopic gastric bypass: a multivariate analysis of socioeconomic factors.

BACKGROUND: Laparoscopic gastric bypass (LGB) has proven efficacy in causing significant and durable weight loss. However, the degree of postoperative weight loss and metabolic improvement varies greatly among individuals. Our study is aimed to identify independent predictors of successful weight loss after LGB. METHODS: Socioeconomic demographics were prospectively collected on patients undergoing LGB. Primary endpoint was percent of excess weight loss (EWL) at 1-year follow-up. Insufficient weight loss was defined as EWL or=52.8%. According to this definition, 147 patients (81.7%) achieved successful weight loss 1 year after LGB. On univariate analysis, preoperative BMI had a significant effect on EWL, with patients with BMI <50 achieving a higher percentage of EWL (91.7% vs 61.6%; p = 0.001). Marriage status was also a significant predictor of successful outcome, with single patients achieving a higher percentage of EWL than married patients (89.8% vs 77.7%; p = 0.04). Race had a noticeable but not statistically significant effect, with Caucasian patients achieving a higher percentage of EWL than African Americans (82.9% vs 60%; p = 0.06). Marital status remained an independent predictor of success in the multivariate logistic regression model after adjusting for covariates. Married patients were at more than two times the risk of failure compared to those who were unmarried (OR 2.6; 95% CI: 1.1-6.5, p = 0.04). CONCLUSIONS: Weight loss achieved at 1 year after LGB is suboptimal in superobese patients. Single patients with BMI < 50 had the best chance of achieving greater weight loss.

Adult↗

PubMed2002

Predictors of outcome in fusion surgery for chronic low back pain. A report from the Swedish Lumbar Spine Study.

Despite the continuous development of surgical techniques and implants, a substantial number of patients still undergo surgery for chronic low back pain (CLBP) without any benefit, or even become worse. With the aim of finding predictors of functional and work status outcome, 264 patients with severe CLBP of long duration, randomised to surgical or non-surgical treatment, were characterized by socio-demographic, clinical, radiological and psychological variables. The variables were estimated as predictors of outcome at the 2-year follow-up. Univariate and multiple logistic regression analyses were used in both treatment groups. We found that a personality characterized by low neuroticism and low disc height were significant predictors of functional improvement after surgical treatment. Depressive symptoms predicted functional improvement after non-surgical treatment. Work resumption was predicted by low age and short sick leave in the surgical group, and by short sick leave in the non-surgical group. We conclude that improved selection of successful surgical candidates with CLBP seems to be promoted by attention to severe disc degeneration, evaluation of personality traits and shortening of preoperative sick leave.

Activities of Daily Living↗

PubMed1999

Predictors of outcome in cauda equina syndrome.

This retrospective review examined the cause, level of pathology, onset of symptoms, time taken to treatment, and outcome of 19 patients with cauda equina syndrome (CES). The minimum time to follow up was 22 months. Logistical regression analysis was used to determine how these factors influenced the eventual outcome. Out of 19 patients, 14 had satisfactory recovery at 2 years post-decompression; 5 patients were left with some residual dysfunction. The mean time to decompression in the group with a satisfactory outcome was 14 h (range 6-24 h) whilst that of the group with the poor outcome was 30 h (range 20-72 h). There was a clear correlation between delayed decompression and a poor outcome (P = 0.023). Saddle hypoaesthesia was evident in all patients. In addition complete perineal anaesthesia was evident in 7/19 patients, 5 of whom developed a poor outcome. Bladder dysfunction was observed in 19/19 patients, with 12/19 regarded as having significant impairment. Of the five patients identified as having a poor overall outcome, all five presented with a significant sphincter disturbance and 4/5 were left with residual sphincter dysfunction. There was a clear correlation between the presence of complete perineal anaesthesia and significant sphincter dysfunction as both univariate and multivariate predictors of a poor overall outcome. The association between a slower onset of CES and a more favourable outcome did not reach statistical significance (P = 0.052). No correlation could be found between initial motor function loss, bilateral sciatica, level or cause of injury as predictors of a poor outcome (P>0.05). CES can be diagnosed early by judicious physical examination, with particular attention to perineal sensation and a history of urinary dysfunction. The most important factors identified in this series as predictors of a favourable outcome in CES were early diagnosis and early decompression.

Adult↗

PubMed2002

LDL-cholesterol/apolipoprotein B ratio is a good predictor of LDL phenotype B in type 2 diabetes.

LDL phenotype B is a component of diabetic dyslipidaemia, but its diagnosis is cumbersome. Our aim was to find easily available markers of phenotype B in a group of type 2 diabetic subjects. We studied 123 type 2 diabetic patients (67.5% male, aged 59.3+/-10.1 years, mean HbA1c 7.4%). Clinical features and fasting total cholesterol, triglyceride, HDL cholesterol, LDL cholesterol (LDLc, using Friedewald's equation and an alternative formula), apolipoprotein B (apoB), lipoprotein (a) and LDL particle size (on gradient polyacrylamide gel electrophoresis) were assessed. Patients with phenotypes A (predominant LDL size > or =25.5 nm) and B (<25.5 nm) were compared, and regression analysis was performed to find the best markers of LDL particle. Cut-off points were obtained and evaluated as predictors of phenotype B (kappa index). Patients with phenotype B (36%) showed higher total cholesterol, triglyceride and apolipoprotein B, and lower HDL cholesterol and LDLc/apoB ratio. Triglyceride was the best predictor of LDL particle size (r=-0.632, p<0.01), but an LDLc/apoB ratio below 1.297 mmol/g detected phenotype B best (sensitivity 65.9%, specificity 92.4%, kappa=0.611). Although triglyceride concentration is the best predictor of LDL size in type 2 diabetes, LDLcholesterol/apolipoproteinB ratio is the best tool to detect phenotype B.

Aged↗