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Risk factors for hospitalization in people with diabetes.

OBJECTIVE: To determine factors predicting hospitalization in people with diabetes. METHODS: Two population-based groups with diabetes were examined at baseline (1980-1982), 4 years (1984-1986), and 10 years (1990-1992). The younger-onset group (n = 777) consisted of all persons diagnosed as having diabetes before age 30 years who were taking insulin, and the older-onset group (n = 542) consisted of a sample of persons diagnosed after age 30 years. At the 10-year examination, participants were asked if they had been hospitalized in the previous year. Factors from the 4-year examination were examined for their ability to predict hospitalization at the 10-year examination. RESULTS: In the younger-onset group, 25.5% reported being hospitalized. In logistic models, glycosylated hemoglobin level (odds ratio [OR], 1.27; 95% confidence interval [CI], 1.16-1.39 for a 1% increment) and hypertension (OR, 1.60; 95% CI, 1.08-2.38) predicted hospitalization. Factors that were not significant included age, sex, systolic and diastolic blood pressures, body mass, smoking status, and alcohol consumption. In the older-onset group, 30.8% reported being hospitalized. In logistic models, only glycosylated hemoglobin level (OR, 1.16; 95% CI, 1.06-1.29 for a 1% increment) predicted hospitalization. CONCLUSIONS: Glycemic control is subject to intervention. Better control may decrease hospitalization among people with diabetes. Thus, there is considerable potential for reducing health care costs.

Adult↗

Southern adolescents: a survey of attitudes and beliefs about smoking.

Using data collected by the National Center for Health Statistics, we examined the relationships between smoking-related beliefs and attitudes and smoking status for a sample of adolescents (N = 3,198) from southern states. Stepwise logistic regression was used to identify the best predictors of smoking prevalence. Results indicated that 8 of 13 variables in the logistic model significantly differentiated between smokers and nonsmokers. Smokers were more likely to believe that it is safe to smoke for only a year or 2 and that smoking helps reduce stress and boredom while promoting relaxation. Smokers also reported a higher tolerance than nonsmokers for being around other smokers, and reported their parents would not mind their smoking. The logistic model attained a predictive accuracy of 93.2%. The implication of these findings is that if smoking interventions targeted at adolescents address smoking-related beliefs and attitudes, there is an enhanced likelihood that such interventions will positively influence the smoking behavior of southern adolescents.

Adolescent↗

Analysis of the French liver transplant waiting list, 1992-1996.

BACKGROUND: In organ transplantation, each country has specific rules of allocation. We have retrospectively evaluated the French liver transplant waiting list for the period 1992-1996, during which time the rules for allocation remained stable. Mortality while on the waiting list and waiting times were the two principal endpoints. METHODS: Using the Etablissement Français des Greffes (EFG) registry, the study was conducted in three steps: (1) description of the waiting list population; (2) analysis of the outcome of patients, with the use of a logistic model to explain death while on the waiting list; (3) estimation of waiting times and use of a Cox model to explain waiting times. RESULTS: The distribution of patients with regard to degree of urgency, age, blood type, and liver disease was variable according to the the EFG region. The outcome of patients was variable according to blood type and to EFG region. Patients classed as "extremely urgent" did not have a different outcome compared to elective patients. The logistic model indicated that two factors influenced the death: blood group and EFG region. Waiting times were variable according to EFG region; age and blood group had an influence on waiting times for a graft. The Cox model indicated the independent influence of EFG region on waiting times. CONCLUSION: We found geographical disparities between patients with respect to time on the waiting list. However, the database must be improved by including the risk profile of each patient, leading to changes in rules for a better allocation of transplants.

ABO Blood-Group System↗

Premature death and associated risk factors in urban middle-aged men.

The full range of premature mortality and associated risk factors was analyzed for a follow-up period of three and a half to eight years in a uniform group of 7,935 middle-aged males (46 to 48 years old at screening) participating between the years 1975 and 1979 in the preventive population program in Malmö (participation rate 76.7 percent). Of the 218 deaths that occurred, necropsy was performed in 181 (83.0 percent). Three major causes of death were established: cancer (61/218), alcohol-related deaths (55/218), and coronary heart disease (50/218). In these three main categories of male premature mortality, significant and distinctly differential risk factor patterns were found. In coronary heart disease, smoking (p = 0.0062), serum cholesterol level (p = 0.00014), serum triglyceride level (p = 0.00013), systolic blood pressure (p = 0.000012), and diastolic blood pressure (p = 0.0021) were the strongest single determinants, but the independent role of the diastolic blood pressure disappeared in a multivariate analysis whereas all the others could be combined in a highly predictive logistic model. In the alcohol-related group, equal or stronger risk factor associations were present for serum gamma-glutamyltransferase level (p less than 0.0001), questionnaire alcoholism screening response (p less than 0.0001) and, inversely, serum cholesterol level (p = 0.0046) and serum creatinine level (p less than 0.0001), all of which were independent and could be combined in an even more predictive logistic model than in the coronary heart disease group. In the cancer deaths, significant associations were found for serum urate level (p = 0.023) and, inversely, serum cholesterol level (p = 0.056 - 0.031). Malignant and alcohol-related diseases constituted at least equally prominent groups as the cardiovascular disorders of the total premature deaths that occurred during middle age in these cohorts of Malmö males. All of these conditions are potentially avoidable and seem to be associated with significant and distinctive risk factor patterns. It seems possible that these factors may be applied, in current alcohol-related disorders and in future malignant diseases, both as indicators of the respective risks and as signals and instruments for directed preventive measures like the previously well established and tested methods for the regulation of blood pressure, serum lipids levels, and so on.

Age Factors↗

Relationship of medial arterial calcinosis to autonomic neuropathy and adverse outcomes in a diabetic veteran population.

STATEMENT OF THE PROBLEM: Medial arterial calcinosis (MAC) is associated with neuropathy, amputation, and mortality through an unknown mechanism. We hypothesized that MAC was a marker of autonomic neuropathy rather than a risk factor and that the outcomes were due to autonomic neuropathy. METHODS: All subjects in an ongoing prospective study of diabetic foot conditions in a diabetic veteran cohort who received a foot radiograph between 11/7/90 and 11/5/93 were included. Autonomic neuropathy measured as either heart rate variability with timed respiration or postural hypotension. A logistic model predicted the presence of MAC at baseline and Cox proportional models assessed the relative contribution of autonomic neuropathy and traditional risk factors for the outcomes of ulceration, amputation, and death. RESULTS: MAC was identified in 181 subjects, no MAC in 253 subjects, and 39 were excluded due to disagreement between observers. Both measures of autonomic neuropathy were independent predictors of MAC at baseline, even after adjustment for vibration sensation loss in a logistic model. MAC was associated with an increased risk for ulceration (hazards ratio, HR: 2.1, 95% confidence intervals, CI, 1.4-3.1), amputation (HR 3.3, 95% CI 1.5-7.4), and mortality (HR 1.6, 95% CI 1.1-2.2). The addition of either autonomic measure of neuropathy did not change the MAC HR or significantly improved the fit of the model. CONCLUSIONS: Our hypothesis that the excess mortality, amputation, and ulceration in persons with MAC could be explained by autonomic neuropathy measured as postural hypotension or heart rate variability with measured respiration was not supported.

Age of Onset↗

Mass extinctions, biodiversity explosions and ecological niches.

The logistic model proposed by Courtillot and Gaudemer to describe the growth of biodiversity during geological ages is more explored here and further developed. A new parameterisation is first proposed. Another expression of this model is obtained by introducing a new variable representing the number of ecological niches. It appears that the rates of increase of biodiversity during Jurassic and Cretaceous periods is quite different from other ones. The classical literature essentially focuses on possible extinction mechanisms, but explosions in biodiversity must be more precisely explored. For this purpose, on the basis of data analysis through different expressions of the logistic model, different ecological mechanisms can be assumed (e.g., qualitative and quantitative niches changes, possible appearance of new kinds of ecological relationships, such as 'niche-sharing', which involves coexistence or cooperation), even if genetic processes must also be involved. Finally, we emphasise the astonishing speed of biological diversification following a 'catastrophic' mass extinction. We could refer to this feature as 'catastrophic biological diversification'.

Animals↗

Global expression-based classification of lymph node metastasis and extracapsular spread of oral tongue squamous cell carcinoma.

Regional lymph node metastasis is a critical event in oral tongue squamous cell carcinoma (OTSCC) progression. The identification of biomarkers associated with the metastatic process would provide critical prognostic information to facilitate clinical decision making for improved management of OTSCC patients. Global expressional profiles were obtained for 25 primary OTSCCs, where 11 cases showed lymph node metastasis (pN+) histologically and 14 cases were nonmetastatic (pN-). Seven of pN+ cases also exhibited extracapsular spread (ECS) of metastatic nodes. Multiple expression indices were used to generate signature gene sets for pN+/- and ECS+/- cases. Selected genes from signature gene sets were validated using quantitative reverse transcription-polymerase chain reaction (qRT-PCR). The classification powers of these genes were then evaluated using a logistic model, receiver operating characteristic curve analysis, and leave-one-out cross-validation. qRT-PCR validation data showed that differences at RNA levels are either statistically significant (P < .05) or suggestive (P < .1) for six of eight genes tested (BMP2, CTTN, EEF1A1, GTSE1, MMP9, and EGFR) for pN+/- cases, and for five of eight genes tested (BMP2, CTTN, EEF1A1, MMP9, and EGFR) for ECS+/- cases. Logistic models with specific combinations of genes (CTTN+MMP9+EGFR for pN and CTTN+EEF1A1+MMP9 for ECS) achieved perfect specificity and sensitivity. Leave-one-out cross-validation showed overall accuracy rates of 85% for both pN and ECS prediction models. Our results demonstrated that the pN and the ECS of OTSCCs can be predicted by gene expression analyses of primary tumors.

Adult↗

Strategies for screening for hereditary non-polyposis colorectal cancer.

Germline mutations in DNA mismatch repair genes (MLH1, MSH2, PMS1, PMS2, and MSH6) predispose to hereditary non-polyposis colorectal cancer (HNPCC). In the absence of pathognomonic clinical features, diagnosis of HNPCC is often based on family history. Microsatellite instability (MSI) analysis has successfully been used for screening colorectal cancer patients for HNPCC. The aim of this study was to evaluate the feasibility of a recently introduced logistical model based on family history data in detecting HNPCC patients with germline mutations. A series of 509 kindreds with a proband with colorectal cancer was studied. MSI analysis and subsequent germline mutation analysis (MLH1 and MSH2) in MSI positive patients had been performed previously. Of the 509 patients, 63 (12%) were MSI positive and 10 (2%) had a germline mutation in MLH1 or MSH2. The power of the logistical model was tested to determine its value in predicting the probability of a germline mutation. The model proposed a high probability in three out of 10 mutation positive cases when data on cancer in first degree relatives were considered (typically three generation pedigrees, consisting, on average, of eight people). Using extended pedigrees and family cancer data in the 10 mutation positive kindreds (an average of 38 family members available), the model suggested high probabilities in seven out of 10 mutation positive cases. We conclude that for the model to predict germline mutation cases, extensive pedigrees and family history data are required. When screening colorectal cancer patients for HNPCC, a model using a combination of family information and MSI has optimal specificity and sensitivity.

Adult↗

Natural history of the posterior cruciate ligament-deficient knee.

This paper documents the clinical course of the posterior cruciate ligament-deficient knee. By obtaining an understanding of the natural history of this lesion, the indications for surgical repair, reconstruction, and conservative treatment will be more clearly defined, and the clinician will be able to more critically evaluate the results of both acute repair and reconstruction of this ligament. Forty-three patients with an average interval of 6.3 years (range, one to 37 years) between injury and evaluation were included in this study. Fourteen patients had a straight unidirectional posterior instability and 29 had a combined multidirectional instability. The follow-up evaluation included functional assessment, physical and roentgenographic evaluation, arthrometric laxity measurement, and isokinetic dynametric testing of quadriceps function. Statistical treatment of the data, utilizing both nonparametric methods and logistic modeling, clearly delineated the natural history of the injury to the posterior cruciate ligament (PCL). It was established that the functional outcome can be predicted on the basis of the instability type. Specifically, those knees with PCL disruption without associated ligamentous laxity will probably remain symptom-free. However, when PCL disruption is associated with combined instabilities, a less than desirable functional result will probably occur. Application of logistic modeling to the data demonstrated that the functional result was not due to the type of instability per se, but rather to associated factors, i.e., chondromalacia of the patella, meniscal derangement, quadriceps atrophy, or degenerative changes. A direct correlation has been established between combined multidirectional instability and the occurrence of those associated secondary problems resulting in the patient's complaints and functional disability.(ABSTRACT TRUNCATED AT 250 WORDS)

Activities of Daily Living↗

Deviations from the population-averaged versus cluster-specific relationship for clustered binary data.

There has been much debate about the relative merits of mixed effects and population-averaged logistic models. We present a different perspective on this issue by noting that the investigation of the relationship between these models for a given dataset offers a type of sensitivity analysis that may reveal problems with assumptions of the mixed effects and/or population-averaged models for clustered binary response data in general and longitudinal binary outcomes in particular. We present several datasets in which the following violations of assumptions are associated with departures from the expected theoretical relationship between these two models: 1) negative intra-cluster correlations; 2) confounding of the response-covariate relationship by cluster effects; and 3) confounding of autoregressive relationships by the link between baseline outcomes and subject effects. Under each of these conditions, the expected theoretical attenuation of the population-averaged odds ratio relative to the cluster-specific odds ratio does not necessarily occur. In all cases, the naive fitting of a random intercept logistic model appears to lead to bias. In response, the random intercept model is modified to accommodate negative intra-cluster correlations, confounding due to clusters, or baseline correlations with random effects. Comparisons are made with GEE estimation of population-averaged models and conditional likelihood estimation of cluster-specific models. Several examples, including a cross-over trial, a multicentre nonrandomized treatment study, and a longitudinal observational study are used to illustrate these modifications.

Animals↗

[Evaluation of the special therapies in fulminant viral hepatitis--a multi-institution study].

Prognostic factors and the efficacy of therapy were studied on 518 patients with fulminant viral hepatitis collected as a joint study from the active members of the Japanese Gastroenterological Society during the period from 1983 to 1988. Using five independent prognostic variables (patients' age, occurrence of infection, gastrointestinal bleeding, renal failure and coexistence of accompanying diseases), a prognosis discriminating logistic model was constructed. A risk score was calculated from the model and patients were classified into two groups with high and low probabilities of survival according to the score. In patients with the duration of illness more than ten days before development of encephalopathy, survival rate of patients given Fischer's amino acid solution was significantly low compared with those not given in the group of low survival probability. A similar deleterious effect of the amino acid solution was proven with another logistic model comprising three more covariates (prothrombin percent, total birirubin level on the day of development of hepatic encephalopathy and the duration of illness before encephalopathy) on 391 patients without missing data on these items. No significant life saving effect was observed on plasma exchange, charcoal hemoperfusion, glucagon-insulin therapy, H2 receptor antagonist and steroid. By Cox's proportional hazard model, plasma exchange was found to double the survival period of patients after development of encephalopathy (p < 0.001).

Adult↗

Posttraumatic stress disorder and functioning and quality of life outcomes in a nationally representative sample of male Vietnam veterans.

OBJECTIVE: Although posttraumatic stress disorder (PTSD) is a highly prevalent and often chronic condition, the relationship between PTSD and functioning and quality of life remains incompletely understood. METHOD: The authors undertook an archival analysis of data from the National Vietnam Veterans Readjustment Study. The study subjects consisted of the nationally representative sample of male Vietnam veterans who participated in the National Vietnam Veterans Readjustment Study. The authors estimated PTSD at the time of the interview with the Mississippi Scale for Combat-Related Posttraumatic Stress Disorder. They examined the following outcomes: diminished well-being, physical limitations, bed day in the past 2 weeks, compromised physical health status, currently not working, and perpetration of violence. Logistic models were used to determine the association between PTSD and outcome; adjustment was made for demographic characteristics and comorbid psychiatric and other medical conditions. RESULTS: The risks of poorer outcome were significantly higher in subjects with PTSD than in subjects without PTSD in five of the six domains. For the outcome domains of physical limitations, not working, compromised physical health, and diminished well-being, these significantly higher risks persisted even in the most conservative logistic models that removed the shared effects of comorbid psychiatric and other medical disorders. CONCLUSIONS: The suffering associated with combat related-PTSD extends beyond the signs and symptoms of the disorder to broader areas of functional and social morbidity. The significantly higher risk of impaired functioning and diminished quality of life uniquely attributable to PTSD suggests that PTSD may well be the core problem in this group of difficult to treat and multiply afflicted patients.

Combat Disorders↗

Ethnicity, acculturation, and self reported health. A population based study among immigrants from Poland, Turkey, and Iran in Sweden.

STUDY OBJECTIVE: To analyse the association between ethnicity and poor self reported health and explore the importance of any mediators such as acculturation and discrimination. DESIGN: A simple random sample of immigrants from Poland (n = 840), Turkey (n = 840), and Iran (n = 480) and of Swedish born persons (n = 2250) was used in a cross sectional study in 1996. The risk of poor self reported health was estimated by applying logistic models and stepwise inclusion of the explanatory variables. The response rate was about 68% for the immigrants and 80% for the Swedes. Explanatory variables were: age, ethnicity, educational status, marital status, poor economic resources, knowledge of Swedish, and discrimination. MAIN RESULTS: Among men from Iran and Turkey there was a threefold increased risk of poor self reported health than Swedes (reference) while the risk was five times higher for women. When socioeconomic status was included in the logistic model the risk decreased slightly. In an explanatory model, Iranian and Turkish women and men had a higher risk of poor health than Polish women and men (reference). The high risks of Turkish born men and women and Iranian born men for poor self reported health decreased to non-significance after the inclusion of SES and low knowledge of Swedish. The high risks of Iranian born women for poor self reported health decreased to non-significance after the inclusion of low SES, low knowledge of Swedish, and discrimination. CONCLUSIONS: The strong association between ethnicity and poor self reported health seems to be mediated by socioeconomic status, poor acculturation, and discrimination.

Acculturation↗

Improving the Glasgow Coma Scale score: motor score alone is a better predictor.

BACKGROUND: The Glasgow Coma Scale (GCS) has served as an assessment tool in head trauma and as a measure of physiologic derangement in outcome models (e.g., TRISS and Acute Physiology and Chronic Health Evaluation), but it has not been rigorously examined as a predictor of outcome. METHODS: Using a large trauma data set (National Trauma Data Bank, N = 204,181), we compared the predictive power (pseudo R2, receiver operating characteristic [ROC]) and calibration of the GCS to its components. RESULTS: The GCS is actually a collection of 120 different combinations of its 3 predictors grouped into 12 different scores by simple addition (motor [m] + verbal [v] + eye [e] = GCS score). Problematically, different combinations summing to a single GCS score may actually have very different mortalities. For example, the GCS score of 4 can represent any of three mve combinations: 2/1/1 (survival = 0.52), 1/2/1 (survival = 0.73), or 1/1/2 (survival = 0.81). In addition, the relationship between GCS score and survival is not linear, and furthermore, a logistic model based on GCS score is poorly calibrated even after fractional polynomial transformation. The m component of the GCS, by contrast, is not only linearly related to survival, but preserves almost all the predictive power of the GCS (ROC(GCS) = 0.89, ROC(m) = 0.87; pseudo R2(GCS) = 0.42, pseudo R2(m) = 0.40) and has a better calibrated logistic model. CONCLUSION: Because the motor component of the GCS contains virtually all the information of the GCS itself, can be measured in intubated patients, and is much better behaved statistically than the GCS, we believe that the motor component of the GCS should replace the GCS in outcome prediction models. Because the m component is nonlinear in the log odds of survival, however, it should be mathematically transformed before its inclusion in broader outcome prediction models.

Algorithms↗

Predictive factors for incident musculoskeletal disorders in an in-plant surveillance program.

OBJECTIVES: A surveillance program for upper-limb work-related musculoskeletal disorders (UWMSD) based on assessment of health and risk factors was implemented between 1996 and 2000 in a large shoe factory with overall high levels for biomechanical exposure. The study aimed to identify workers with an increased risk of UWMSD incidence. METHODS: In 1996, 1997 and 2000, 166 workers filled out a questionnaire and underwent a standardized physical examination. Factors from the 1996 questionnaire (general, personal and occupational factors) associated with UWMSD incidence in 1997 were selected. The predictive role of these variables was studied with a logistic model, taking into account also gender and age. The performance of a risk score based on this model was studied in 2000, using the Wilcoxon test and ROC curves. RESULTS: In 1997, 28 incident cases of UWMSD were observed (N = 107, 26.2%). Work pace and prior history of UWMSD were the only factors significantly associated with UWMSD incidence in 1997 (respectively 33% versus 13%, P = 0.02 and 58% versus 22%, P = 0.01). Psychological distress (36% versus 21%, P = 0.10), physical fatigue (35% versus 22%, P = 0.14), repetitiveness (30% versus 18%, P = 0.17) and task precision (33% versus 21%, P = 0.16) were also included in the logistic model for 1997 UWMSD incidence. Controlling for these variables, prior history of UWMSD remained associated with incidence in 1997 (OR = 5.5, 95% CI = 1.4-21.8). In the period from 1997 to 2000, 24 incident cases were observed (N = 102, 23.5%). The risk score, based on variables from the 1997 model, was significantly higher for incident cases (median = 6 in incident cases versus 4.5 for healthy subjects, P = 0.02). ROC curves indicated that the highest agreement reached 67% for sensitivity and 59% for specificity. Among subjects who did not change their task (N = 71, 18 incident cases), performance reached 66% for specificity with the same sensitivity. CONCLUSION: These results suggest that surveillance programs of UWMSD at a company level are possible even with overall high levels for biomechanical exposure and should take into account occupational and personal factors, including prior history of UWMSD.

Adult↗

Prediction of persistent carbohydrate intolerance in patients with gestational diabetes.

A 12-month prospective study was carried out in 120 Chinese patients with gestational diabetes who were found to have persistent carbohydrate intolerance at 6 weeks postpartum. The 75 g OGTT and WHO diagnostic criteria were employed for both antepartum and postpartum assessment. By 12 months, persistent carbohydrate intolerance was found in 13.3% of the patients only, 6 patients were diabetic while 10 had impaired glucose tolerance. Of those whose carbohydrate tolerance reverted to normal, 85% did so within the first 6 months. The clinical variables were analysed by multiple discriminant analysis using the logistic model. Five prognostic variables which were predictive of persistent carbohydrate intolerance at 12 months were identified. In order of decreasing predictive value, these included a high fasting glucose during pregnancy and at the first postnatal visit, a high antepartum 2 h blood glucose, the requirement of insulin during pregnancy, and a high postpartum 2 h blood glucose. Macrosomia, gestational age at diagnosis and a family history of diabetes were not predictive of persistent carbohydrate intolerance. Multiparity, maternal age and body mass index were of marginal significance only. The fitted logistic model provides a mechanism to estimate the probability of persistent carbohydrate intolerance. Such information will be helpful in patient counselling and in the efficient planning of postpartum medical follow-up.

Adult↗

Risk factors for ischaemic heart disease: the prospective phase of the British Regional Heart Study.

Risk factors for major ischaemic heart disease (acute myocardial infarction or sudden death) have been investigated in a prospective study of 7735 men aged 40-59 years drawn from general practices in 24 British towns. After a mean follow-up of 4.2 years, there have been 202 cases of major ischaemic heart disease. Univariate estimates of the risk of ischaemic heart disease show that serum total cholesterol, HDL-cholesterol and triglyceride concentrations, systolic and diastolic blood pressures, cigarette smoking, and body mass index are all associated with increased risk of ischaemic heart disease. Evidence of ischaemic heart disease at initial examination is also strongly associated with increased risk of subsequent ischaemic heart disease. All these factors were then considered simultaneously using multiple logistic models. Definite myocardial infarction on electrocardiogram and recall of a doctor diagnosis of ischaemic heart disease remained predictive of subsequent major ischaemic heart disease, after allowance for all other risk factors. Serum total cholesterol, blood pressure, and cigarette smoking each remained as highly significant independent risk factors whereas overweight, above average levels of HDL-cholesterol and serum triglyceride were not predictive of risk after allowance for the above factors. Men with and without pre-existing ischaemic heart disease were examined separately in the same way (using multiple logistic models). The strength of association between the principal risk factors and subsequent major ischaemic heart disease was reduced in the men with pre-existing ischaemic heart disease, only age and serum total cholesterol remaining highly significant. Overall the levels of the major risk factors commonly encountered in British men have a marked effect on the risk of ischaemic heart disease. Modification of these risk factors in the general population constitutes an important national priority.

Adult↗

Discrimination of subtypes of small adenocarcinoma in the lung with thin-section CT.

We studied the usefulness of thin-section CT in discriminating two categories of adenocarcinoma in the lung. Thin-section CT findings, such as, lesion size, ground-glass opacity (GGO) areas of lesion and presence or absence of lobulation, coarse spiculation, air bronchogram, small air space, or pleural tag of lesion in 62 consecutive patients with 62 adenocarcinomas (35 type A or B tumors (Noguchi's classification) and 27 type C tumors) of < or =20 mm, including 36 women and 26 men with a mean age of 64 years were analyzed. We performed stepwise logistic modeling using all the CT findings as independent variables to estimate the significant factors for discriminating type C from type A or B tumor. Lesion size in type C tumors was significantly (P<0.001) greater than that in type A or B tumors. GGO areas in type C tumors were significantly (P<0.001) smaller than that in type A or B tumors. The prevalence of coarse spiculation, air bronchogram, and pleural tag in type C tumors was significantly greater (P=0.001, 0.010, and <0.001, respectively) than that in type A or B tumors. Logistic modeling revealed that the GGO area was the only significant factor for discriminating two categories (P<0.001). Using the percentage of GGO areas for predicting type C tumor, 40% or less showed the highest accuracy of 85% with 70% sensitivity and 97% specificity. GGO areas of 30% or less had no false-positive diagnosis (100% specificity) with 81% accuracy but its sensitivity was low (56%). Thin-section CT was useful in discriminating two categories of adenocarcinoma in the lung.

Adenocarcinoma↗