Ductus arteriosus diameters in fetuses with early- and late-onset fetal growth restriction.

PURPOSE: Fetal growth restriction (FGR) is a common pregnancy complication that can be associated with several adverse perinatal outcomes. One of these negative outcomes is ductus arteriosus, especially in preterm babies. In this study, intrauterine heart function and ductus diameter were evaluated in babies with FGR. METHODS: Thirty-seven fetuses with FGR were compared with 37 normal-weight fetuses at the same gestational week. In our study, ventricular diameters, aorta, pulmonary artery, ductus arteriosus (DA), aortic arch diameter, and flow traces were examined. In addition, the aorta and aortic isthmus diameters were proportioned to the ductus diameter, and the left ventricular myocardial performance index (MPI) [(ICT + IRT)/ET] was evaluated. RESULTS: There was no difference in DA diameters between the patient and control groups. The intragroup comparison of the cases with early- and late-onset FGR revealed no statistically significant difference between DA diameters. However, the ratios of the aortic annulus diameter/ductus diameter (AOD/DAD) and aortic isthmus diameter/ductus diameter (AID/DAD) were significantly lower in early-onset FGR because the diameter of the DA was greater. In addition, the mod-MPI values were higher in the patient group. CONCLUSIONS: In our study, although the ductal diameters did not change significantly in the patient group, the ductal diameter was greater in the early-onset intrauterine growth restriction (FGR) group compared with other cardiac measurements. The mod-MPI value, a cardiac function indicator, was higher in fetuses with FGR. These findings may be useful for evaluating postnatal cardiac functions in FGR.

Mental and Psychosomatic Effects of the Coronavirus Disease 2019 Pandemic on Adolescents: A Validation Study.

OBJECTIVES: The coronavirus disease 2019 (COVID-19) pandemic has had detrimental impacts on both physical and mental health worldwide. In addition to the behavioral effects, it has caused a range of psychological problems such as depression, anxiety, sleep disorders, and anger. Fear and stress have been particularly prevalent in individuals. This study aims to assess the psychometric properties of the Scale for the Evaluation of Mental and Psychosomatic Effects of the COVID-19 Pandemic (COVID-19 PRPEDS) on adolescents and explore the pandemic's psychosomatic effects. MATERIALS AND METHODS: A total of 503 adolescents between the ages of 14 and 18 years who continue their high school education constituted the study population. The COVID-19 PRPEDS comprising 18 items and 2 subscales (Mental Effects, Psychosomatic Effects), was used in adolescents. The forms were delivered to the students via the Internet, and in addition to the scale, the age and sex of the adolescents were recorded. RESULTS: A majority of the participants (96.6%, n = 486) had knowledge about COVID-19, 93.8% (n = 472) could differentiate COVID-19 from other diseases, 96.6% (n = 486) were able to explain the transmission ways of COVID-19 and 96% (n = 483) took the necessary precautions to protect themselves from COVID-19. The COVID-19 PRPEDS scores of males were higher than females. The study validation index was above 0.9, which is considered to be acceptable for adolescents. CONCLUSIONS: Like in the other pandemics, adolescents experienced serious mental health problems during the COVID-19 pandemic. In addition to its psychosomatic effects, the mental issues related to the pandemic were more common in male adolescents. Cite this article as: Ince G, Üzüm Ö, Eliaçik K, Kanik A, Emir B, Helvaci M. Mental and psychosomatic effects of the coronavirus disease 2019 pandemic on adolescents: A validation study. Turk Arch Pediatr. 2024;59(1):60-69.

Performance analysis of pretrained convolutional neural network models for ophthalmological disease classification / Análise de desempenho de modelos de rede neural convolucional pré-treinados para classificação de doenças oftalmológicas

ABSTRACT Purpose: This study aimed to evaluate the classification performance of pretrained convolutional neural network models or architectures using fundus image dataset containing eight disease labels. Methods: A publicly available ocular disease intelligent recognition database has been used for the diagnosis of eight diseases. This ocular disease intelligent recognition database has a total of 10,000 fundus images from both eyes of 5,000 patients for the following eight diseases: healthy, diabetic retinopathy, glaucoma, cataract, age-related macular degeneration, hypertension, myopia, and others. Ocular disease classification performances were investigated by constructing three pretrained convolutional neural network architectures including VGG16, Inceptionv3, and ResNet50 models with adaptive moment optimizer. These models were implemented in Google Colab, which made the task straight-forward without spending hours installing the environment and supporting libraries. To evaluate the effectiveness of the models, the dataset was divided into 70%, 10%, and 20% for training, validation, and testing, respectively. For each classification, the training images were augmented to 10,000 fundus images. Results: ResNet50 achieved an accuracy of 97.1%; sensitivity, 78.5%; specificity, 98.5%; and precision, 79.7%, and had the best area under the curve and final score to classify cataract (area under the curve = 0.964, final score = 0.903). By contrast, VGG16 achieved an accuracy of 96.2%; sensitivity, 56.9%; specificity, 99.2%; precision, 84.1%; area under the curve, 0.949; and final score, 0.857. Conclusions: These results demonstrate the ability of the pretrained convolutional neural network architectures to identify ophthalmological diseases from fundus images. ResNet50 can be a good architecture to solve problems in disease detection and classification of glaucoma, cataract, hypertension, and myopia; Inceptionv3 for age-related macular degeneration, and other disease; and VGG16 for normal and diabetic retinopathy.

RESUMO Objetivo: Avaliar o desempenho de classificação de modelos ou arquiteturas de rede neural convolucional pré--treinadas usando um conjunto de dados de imagem de fundo de olho contendo oito rótulos de doenças diferentes. Métodos: Neste artigo, o conjunto de dados de reconhecimento inteligente de doenças oculares publicamente disponível foi usado para o diagnóstico de oito rótulos de doenças diferentes. O banco de dados de reconhecimento inteligente de doenças oculares tem um total de 10.000 imagens de fundo de olho de ambos os olhos de 5.000 pacientes para oito categorias que contêm rótulos saudáveis, retinopatia diabética, glaucoma, catarata, degeneração macular relacionada à idade, hipertensão, miopia, outros. Investigamos o desempenho da classificação de doenças oculares construindo três arquiteturas de rede neural convolucional pré-treinadas diferentes, incluindo os modelos VGG16, Inceptionv3 e ResNet50 com otimizador de Momento Adaptativo. Esses modelos foram implementados no Google Colab o que facilitou a tarefa sem gastar horas instalando o ambiente e suportando bibliotecas. Para avaliar a eficácia dos modelos, o conjunto de dados é dividido em 70% para treinamento, 10% para validação e os 20% restantes utilizados para teste. As imagens de treinamento foram expandidas para 10.000 imagens de fundo de olho para cada tal. Resultados: Observou-se que o modelo ResNet50 alcançou acurácia de 97,1%, sensibilidade de 78,5%, especificidade de 98,5% e precisão de 79,7% e teve a melhor área sob a curva e pontuação final para classificar a categoria da catarata (área sob a curva=0,964, final=0,903). Em contraste, o modelo VGG16 alcançou uma precisão de 96,2%, sensibilidade de 56,9%, especificidade de 99,2% e precisão de 84,1%, área sob a curva 0,949 e pontuação final de 0,857. Conclusão: Esses resultados demonstram a capacidade das arquiteturas de rede neural convolucional pré-treinadas em identificar doenças oftalmológicas a partir de imagens de fundo de olho. ResNet50 pode ser uma boa solução para resolver problemas na detecção e classificação de doenças como glaucoma, catarata, hipertensão e miopia; Inceptionv3 para degeneração macular relacionada à idade e outras doenças; e VGG16 para retinopatia normal e diabética.

Variability of the optic nerve sheath diameter on brain computed tomography in Turkish children based on sex and age.

BACKGROUND: Optic nerve sheath diameter (ONSD) measurement is a noninvasive method that can be used for intracranial pressure monitoring. Several studies have investigated normal ONSD values in children, but no general consensus has been reached yet. OBJECTIVES: The aim of our study was to reveal normal ONSD, eyeball transverse diameter (ETD), and ONSD/ETD values on brain computed tomography (CT) in healthy children aged 1 month to 18 years. METHODS: Children admitted to the emergency department with minor head trauma and had normal brain CT were included in the study. The demographic characteristics of the patients (age and sex) were recorded, and the patients were divided into four age groups: 1 month to 2 years, 2 to 4 years, 4 to 10 years, and 10 to 18 years. RESULTS: The images of 332 patients were analyzed. When the median values of all measurement parameters (right and left ONSD, ETD, and ONSD/ETD) were compared between the right and left eyes, no statistically significant differences were found. When the same parameters were compared according to age group, the ONSD and ETD values differed significantly (values of males were found to be higher), but the ONSD proximal/ETD and ONSD middle/ETD values did not differ significantly. CONCLUSION: In our study, normal ONSD, ETD, and ONSD/ETD values were determined according to age and sex in healthy children. As the ONSD/ETD index did not statistically significantly differ according to age and sex, diagnostic studies for traumatic brain injuries can be performed using the index.

Performance analysis of pretrained convolutional neural network models for ophthalmological disease classification.

PURPOSE: This study aimed to evaluate the classification performance of pretrained convolutional neural network models or architectures using fundus image dataset containing eight disease labels. METHODS: A publicly available ocular disease intelligent recognition database has been used for the diagnosis of eight diseases. This ocular disease intelligent recognition database has a total of 10,000 fundus images from both eyes of 5,000 patients for the following eight diseases: healthy, diabetic retinopathy, glaucoma, cataract, age-related macular degeneration, hypertension, myopia, and others. Ocular disease classification performances were investigated by constructing three pretrained convolutional neural network architectures including VGG16, Inceptionv3, and ResNet50 models with adaptive moment optimizer. These models were implemented in Google Colab, which made the task straight-forward without spending hours installing the environment and supporting libraries. To evaluate the effectiveness of the models, the dataset was divided into 70%, 10%, and 20% for training, validation, and testing, respectively. For each classification, the training images were augmented to 10,000 fundus images. RESULTS: ResNet50 achieved an accuracy of 97.1%; sensitivity, 78.5%; specificity, 98.5%; and precision, 79.7%, and had the best area under the curve and final score to classify cataract (area under the curve = 0.964, final score = 0.903). By contrast, VGG16 achieved an accuracy of 96.2%; sensitivity, 56.9%; specificity, 99.2%; precision, 84.1%; area under the curve, 0.949; and final score, 0.857. CONCLUSIONS: These results demonstrate the ability of the pretrained convolutional neural network architectures to identify ophthalmological diseases from fundus images. ResNet50 can be a good architecture to solve problems in disease detection and classification of glaucoma, cataract, hypertension, and myopia; Inceptionv3 for age-related macular degeneration, and other disease; and VGG16 for normal and diabetic retinopathy.

Understanding Vaccine Hesitancy: Social Isolation in Relation to Social Media Addiction and COVID-19 Anxiety.

BACKGROUND: Despite significant advancements in immunization over the last century, vaccine hesitancy is a major threat to world health. Health-related information available from a variety of sources, including new media such as social media platforms, can encourage vaccine hesitancy. The aim of this study is to determine the level of vaccine hesitation among adults, specifically their belief in the advantages of vaccination and their perceptions of vaccine-related dangers in relation to social media addiction and coronavirus disease 2019 (COVID-19) anxiety. MATERIALS AND METHODS: Between December 2021 and January 2022, 454 adults participated in an online cross-sectional survey consisting of the social media use disorder scale, the vaccine hesitancy scale, and the coronavirus anxiety scale. RESULTS: The results of the study revealed a strong correlation between social media addiction, vaccine hesitation, and COVID-19 anxiety. CONCLUSION: Given the potential for misinformation to spread through social media, especially in a situation like a pandemic, the conscious use of social media should be emphasized and anti-addiction measures are required. Novel programs including online interventions should be developed to promote vaccination among social media addicts who have relatively high vaccination hesitancy.

Epicardial adipose tissue and risk of arrhythmia in nephrotic syndrome.

BACKGROUND: Patients with nephrotic syndrome (NS) are at a high risk of cardiovascular disease, obesity, and dyslipidemia. The aim of this study was to evaluate the formation of epicardial adipose tissue (EAT) and investigate electrocardiographic (ECG) parameters in patients. METHODS: Thirty-two patients aged 0-18 years and 15 control patients were compared. In the patient group, physical examination and laboratory parameters were recorded. Atrial depolarization and ventricular repolarization parameters in ECG were compared between the groups. EAT was evaluated with M-mode measurements on echocardiography. RESULTS: There was no difference between the groups in terms of sex, age, body mass index, systolic and diastolic BP. EAT was found to be significantly higher in the patient group. In ECG evaluations it was determined that atrial depolarization and ventricular repolarization parameters increased in the patient group. CONCLUSIONS: Cardiovascular morbidity and mortality are high in kidney diseases. Measurement and follow-up of EAT and ECG findings as a noninvasive parameter can provide information in NS.

Efficiency of azathioprine monotherapy for maintenance treatment of autoimmune hepatitis in children.

INTRODUCTION: Autoimmune hepatitis (AIH) is a common pediatric liver disease and long-term remission is usually maintained with low dose prednisolone and azathioprine (AZA). The aim of this study is to evaluate the efficiency of AZA monotherapy for maintenance treatment of children with AIH. MATERIALS AND METHODS: This study was a retrospective analysis of the 55 children with AIH. Patients were divided into two groups: combination therapy (CT) and AZA group based on maintenance therapy. Results of these two different maintenance treatments were compared in children with AIH. RESULTS: The mean age of the children was 10.67 ± 4.30 years (61.8% females) with a mean follow-up period of 46.8 ± 33.6 months. For maintenance treatment, 39 (70.9%) patients received AZA and 16 (29.1%) patients received CT. Relapse was observed in nine (19.6%) cases in the follow-up period; two were in the CT group (2/16; 12.5%) and seven (7/39; 17.9%) were in the AZA group (P = 0.620). In AZA group, the duration of remission was 22.2 ± 6.1 months and that was longer than CT group (P = 0.025). CONCLUSION: Our study suggests that AZA monotherapy is an effective and safe therapy for maintaining remission in children with AIH. AZA monotherapy may be used for maintenance treatment of children with AIH, except in cases of overlap syndrome and also to avoid side effects of long-term used steroids and to improve treatment compliance in proper cases.

Comparison of samples found positive by anti-HCV screening test with line immunoassay and determination of threshold value

SUMMARY OBJECTIVE: This study aimed to compare the serum samples found reactive (≥1-≤20 signal-to-cutoff ratio) with Elecsys antibodies to hepatitis C virus screening test with innogenetics-line immunassay hepatitis C Virus Score test and to determine the most appropriate threshold value for our country, since positive results close to the cutoff value cause serious problems in routine diagnostic laboratories. METHODS: Antibodies to hepatitis C virus-positive samples from 687 different patients were included in the study. Antibodies to hepatitis C virus antibody detection was performed using Elecsys antibodies to hepatitis C virus II kits (Roche Diagnostics, Germany), an electrochemiluminescence method based on the double-antigen sandwich principle, on the Cobas e601 analyzer (Roche Diagnostics) in accordance with the recommendations of the manufacturer. Samples that were initially identified as reactive were studied again. Samples with ≥1-≤20 signal-to-cutoff ratio reagents as a result of retest were included in the study to be validated with the third-Generation Line immunassay kit (innogenetics-line immunassay hepatitis C Virus, Belgium). RESULTS: A total of 687 samples with antibodies to hepatitis C virus positive and levels between 1-20 S/Co were found to be 56.1% negative, 14.8% indeterminate, and 29.1% positive by innogenetics-line immunassay hepatitis C Virus confirmation test. When the cases with indeterminate innogenetics-line immunassay hepatitis C Virus test results were accepted as positive, the signal-to-cutoff ratio value for antibodies to hepatitis C virus was determined as 5.8 (95% confidence interval) in distinguishing the innogenetics-line immunassay hepatitis C Virus negative and positive groups. CONCLUSION: It was concluded that with further studies on this subject, each country should determine the most appropriate S/Co value for its population, and thus it would be beneficial to reduce the problems such as test repetition and cost increase.

Vertebral artery hypoplasia as an independent risk factor of posterior circulation atherosclerosis and ischemic stroke.

ABSTRACT: Vertebral artery hypoplasia (VAH) is a frequent anatomical variation of vertebral arteries, with emerging evidence suggesting that it contributes to posterior circulation ischemia. However, the relationship between VAH and ischemic stroke remains unknown. Hence, this study aimed to determine the prevalence of VAH in patients diagnosed with acute ischemic stroke who were followed up in a neurology clinic and to determine if it can potentially be a risk factor for atherosclerotic stenosis in vertebrobasilar circulation.This retrospective study included 609 patients diagnosed with acute ischemic stroke between January 1, 2019 and January 1, 2020. Demographic of patients, risk factors, radiological and clinical characteristics were evaluated.Posterior circulation was very common in patients with VAH, and the most common locations of atherosclerotic stenosis were V1 and V4 segments of the vertebral artery and the middle segment of basilar artery. Analysis of the risk factors for atherosclerotic stenosis in patients with posterior circulation acute ischemic stroke suggested that VAH was an independent risk factor.Findings of the study suggest that VAH pre-disposes atherosclerotic stenosis in vertebrobasilar circulation, although its mechanism remains unknown. Hemodynamic parameters associated with atherosclerosis could not be measured in vivo. Thus, to better understand the underlying mechanism, conducting studies that examine blood flow parameters with high-resolution magnetic resonance angiography in patients diagnosed with acute cerebral ischemia patients with VAH is warranted.

Predictors of mortality in invasive pneumococcal disease: a meta-analysis.

OBJECTIVES: To assess risk factors for mortality in invasive pneumococcal disease (IPD). METHODS: We conducted a systemic literature search in January 2019. The main outcome measure included death within 30 days after diagnosis of IPD. The study protocol was registered in PROSPERO (CRD42019120189). RESULTS: After reviewing 2514 potentially relevant records, remaining 190 articles were included in the analysis. A total of 228,782 IPD patients were identified and the mortality rate was 17.2% in the included articles. No significant evidence of publication bias was found according to the funnel plot and Egger's test (t = 1.464, p = 0.145). Male sex, older age, alcohol abuse, previous tuberculosis, meningitis, hospital acquired infections, multilobar infiltrate or effusion, Pitt bacteremia score≥4, Pneumonia Severity Index≥4, clinical conditions requiring intensive care, underlying clinical conditions, disease caused by serotypes 3, 6B, 9 N, 10A, 11A, 16 F, 17 F, 19, 19 F, 22 F, 23A, 23 F, 31 and 35 F, previous antibiotic use, inappropriate initial antibiotic therapy, penicillin resistance, and vancomycin use during the course of treatment were predicators of 30-day mortality. CONCLUSIONS: This meta-analysis highlights important risk factors for IPD-related mortality, many of which may be targeted through preventive measures.

Comparison of samples found positive by anti-HCV screening test with line immunoassay and determination of threshold value.

OBJECTIVE: This study aimed to compare the serum samples found reactive (≥1-≤20 signal-to-cutoff ratio) with Elecsys antibodies to hepatitis C virus screening test with innogenetics-line immunassay hepatitis C Virus Score test and to determine the most appropriate threshold value for our country, since positive results close to the cutoff value cause serious problems in routine diagnostic laboratories. METHODS: Antibodies to hepatitis C virus-positive samples from 687 different patients were included in the study. Antibodies to hepatitis C virus antibody detection was performed using Elecsys antibodies to hepatitis C virus II kits (Roche Diagnostics, Germany), an electrochemiluminescence method based on the double-antigen sandwich principle, on the Cobas e601 analyzer (Roche Diagnostics) in accordance with the recommendations of the manufacturer. Samples that were initially identified as reactive were studied again. Samples with ≥1-≤20 signal-to-cutoff ratio reagents as a result of retest were included in the study to be validated with the third-Generation Line immunassay kit (innogenetics-line immunassay hepatitis C Virus, Belgium). RESULTS: A total of 687 samples with antibodies to hepatitis C virus positive and levels between 1-20 S/Co were found to be 56.1% negative, 14.8% indeterminate, and 29.1% positive by innogenetics-line immunassay hepatitis C Virus confirmation test. When the cases with indeterminate innogenetics-line immunassay hepatitis C Virus test results were accepted as positive, the signal-to-cutoff ratio value for antibodies to hepatitis C virus was determined as 5.8 (95% confidence interval) in distinguishing the innogenetics-line immunassay hepatitis C Virus negative and positive groups. CONCLUSION: It was concluded that with further studies on this subject, each country should determine the most appropriate S/Co value for its population, and thus it would be beneficial to reduce the problems such as test repetition and cost increase.

Management of the axilla with sentinel lymph node biopsy after neoadjuvant chemotherapy for breast cancer: A single-center study.

The neoadjuvant chemotherapy (NAC) is the gold standard initial treatment of the locally advanced breast cancer (LABC). However, the reliability of methods that used to assess response the NAC is still controversial. In this study, patients with LABC who underwent NAC were evaluated retrospectively. The assessment of response to NAC and the effect of axillary approach were investigated on LABC course.The study comprised 94 patients who received NAC with an LABC diagnosis between 2008 and 2020. In our center, magnetic resonance imaging, ultrasonography, and F-flouro deoxyglucose positron emission tomography/computed tomography, and, for some patients, fine-needle aspiration biopsy of suspicious axillary lymph nodes have been performed to assess the effects of NAC. Patients with positive hormone receptor status received adjuvant hormonotherapy, and those with human epidermal growth factor receptor 2 gene expression were treated with trastuzumab. Adjuvant radiotherapy was applied to all patients undergoing breast conserving surgery. Radiotherapy was applied to the peripheral lymphatic areas in the clinical N1 to N3 cases regardless of the response to NAC.The clinical response to the NAC was found that partial in 59% and complete in 19% of the patients. However, 21.2% of the patients were unresponsive. The mean of lymph nodes that excised with the procedure of sentinel lymph node biopsy (SLNB) was 2.4 (range 1-7). In 22 of the 56 patients who underwent SLNB, axillary dissection (AD) was added to the procedure upon detection of metastasis in frozen section examinations. There was no difference between the SLNB and AD groups regarding overall survival (OS; P = .472) or disease-free survival (DFS) rates (P = .439). However, there were differences in the OS (P < .05) and DFS (P = .05) rates on the basis of the LABC histopathological subtypes.The study found that a relationship between molecular subtypes and LABC survival. However, the post-NAC axillary approach had no effect on OS or DFS. Therefore, multiple imaging and interventional methods are needed for the evaluation of NAC response. In addition, morbidity can be avoided after AD by the use of SLNB in cN0 patients.

Erythrocyte Indices as Differential Diagnostic Biomarkers of Iron Deficiency Anemia and Thalassemia.

INTRODUCTION: The most common causes of microcytic anemia are iron deficiency anemia (IDA) and thalassemia trait (TT). This study investigated the reliability of erythrocyte indices and formulas as screening tests in the differential diagnosis of IDA and TT before performing detailed tests for definitive diagnosis. MATERIALS AND METHODS: In total, 50 children with ß-TT, 31 with α-TT, 50 with IDA were included. For the 8 erythrocyte indices and formulas (red blood cells [RBC], red blood cell distribution width [RDW], red blood cell distribution width index [RDWI], Mentzer index [MI], Shine and Lal index [S&L], England and Fraser [E&F], Green and King index [G&K], Srivastava index) the sensitivity, specificity, positive and negative predictive values (PPVs and NPVs, respectively) were calculated according to the cutoff values in the literature and recalculated revised cutoff values. RESULTS: According to the cutoff values in the literature for the differential diagnosis of IDA and TT, the ranking of sensitivity, specificity, PPVs, and NPVs from the highest to the lowest was RDWI, RBC, E&F, G&K, MI, Srivastava, RDW, S&L. The sensitivity, specificity, PPVs, and NPVs of all the indices according to the revised cutoff values were higher than those according to the cutoff values in the literature. CONCLUSIONS: According to both the cutoff values in the literature and revised cutoff values, the most reliable indices were RBC and RDWI.

Meta-analysis of risk factors for amputation in diabetic foot infections.

BACKGROUND: Knowledge of risk factors is crucial to develop management and treatment protocols for the prevention of lower extremity amputation for patients with diabetic foot infections (DFIs). METHODS: We searched the research literature for studies reporting risk factors for lower extremity amputation in patients with DFI. The main outcome variables included both minor and major amputations. This study was reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines, and the protocol was registered in PROSPERO (CRD42018118543). RESULTS: A total of 2471 potential articles from the database search met the inclusion criteria. After reviewing the titles, abstracts, and full texts, remaining 25 articles were included in the final analysis. We identified 6132 patients with DFI in the 25 included articles. Of these, 1873 patients who underwent amputation were investigated. Male gender (odds ratio [OR]: 1.31), smoking (OR: 1.38), history of amputation (OR: 1.47), history of osteomyelitis (OR: 1.94), peripheral arterial disease (OR: 2.35), retinopathy (OR: 1.32), International Working Group on the Diabetic Foot (IWGDF) grades 3 and 4 (OR: 1.7 and 2.5), Wagner grades 4 and 5 (OR: 4.3 and 6.4), gangrene/necrosis (OR: 9.9), osteomyelitis (OR: 4.5), neuroischaemic DFI (OR: 3.06), severe infection (OR: 3.12), length of hospitalization (standardized mean difference [SMD]: 0.7), leukocytosis (OR: 1.76), mean erythrocyte sedimentation rate (ESR) (SMD: 0.5), mean C-reactive protein (CRP) (SMD: 0.8), tissue culture positivity (OR: 1.61), and isolation of Gram-negative bacteria from tissue culture (OR: 1.5) were found as predictors of amputation in DFI. CONCLUSIONS: The present study highlighted some differences in diabetic foot ulcers and DFIs in terms of risk factors for lower extremity amputation. These data provide detailed information about risk factors for amputations among patients with DFI, thus contributing to the creation of new classification systems for assessment of high-risk patients.

Pairwise Multiple Comparison Adjustment Procedure for Survival Functions with Right-Censored Data.

The aim of this study is to propose a new pairwise multiple comparison adjustment procedure based on Genz's numerical computation of probabilities from a multivariate normal distribution. This method is applied to the results of two-sample log-rank and weighted log-rank statistics where the survival data contained right-censored observations. We conducted Monte Carlo simulation studies not only to evaluate the familywise error rate and power of the proposed procedure but also to compare the procedure with conventional methods. The proposed method is also applied to the data set consisting of 815 patients on a liver transplant waiting list from 1990 to 1999. It was found that the proposed method can control the type I error rate, and it yielded similar power as Tukey's and high power with respect to the other adjustment procedures. In addition to having a straightforward formula, it is easy to implement.