81 research outputs found
IL-6 and other biomarkers as predictors of severity in COVID-19
ObjectiveCytokine release syndrome is suggested to be the most important mechanism triggering acute respiratory distress syndrome and end organ damage in COVID-19. The severity of disease may be measured by different biomarkers.MethodsWe studied markers of inflammation and coagulation as recorded in 29 patients on admission to the hospital in order to identify markers of severe COVID-19 and need of ICU.ResultsPatients who were eventually admitted to ICU displayed significantly higher serum levels of interleukin-6 (IL-6), C-reactive protein (CRP), and procalcitonin. No statistical differences were found between the groups in median levels of lymphocytes, D-dimer or ferritin.ConclusionsIL-6 and CRP were the strongest predictors of severity in hospitalized patients with COVID-19.</p
External validation of a model to predict the survival of patients presenting with a spinal epidural metastasis
The surgical treatment of spinal metastases is evolving. The major problem is the
selection of patients who may benefit from surgical treatment. One of the
criteria is an expected survival of at least 3 months. A prediction model has
been previously developed. The present study has been performed in order to
validate externally the model and to demonstrate that this model can be
generalized to other institutions and other countries than the Netherlands. Data
of 356 patients from five centers in Germany, Spain, Sweden, and the Netherlands
who were treated for metastatic epidural spinal cord compression were collected.
Hazard ratios in the test population corresponded with those of the developmental
population. However, the observed and the expected survival were different.
Analysis revealed that the baseline hazard function was significantly different.
This tempted us to combine the data and develop a new prediction model.
Estimating iteratively, a baseline hazard was composed. An adapted prediction
model is presented. External validation of a prediction model revealed a
difference in expected survival, although the relative contribution of the
specific hazard ratios was the same as in the developmental population. This
study emphasized the need to check the baseline hazard function in external
validation. A new model has been developed using an estimated baseline hazar
Interobserver reliability and diagnostic performance of Chiari II malformation measures in MR imaging—part 2
PURPOSE: Brain MR imaging is essential in the assessment of Chiari II malformation in clinical and research settings concerning spina bifida. However, the interpretation of MR images of the malformation is not always straightforward. Morphometric analyses of the extent of Chiari II malformation may improve the assessment. In an attempt to select appropriate morphometric measures for this purpose, we investigated the interobserver reliability and diagnostic performance of several morphometric measures of Chiari II malformation on MR images. METHODS: Brain MR images of 79 children [26 with open spinal dysraphism, 17 with closed spinal dysraphism, and 36 without spinal dysraphism; mean age 10.6 (SD 3.2; range, 6-16) years] were evaluated. All children had been assessed for Chiari II malformation (defined as cerebellar herniation in combination with open spinal dysraphism; n = 23). Three observers blindly and independently reviewed the MR images for 21 measures of the cerebellum, brainstem, and posterior fossa in three planes. The interobserver reliability was assessed by an agreement index (AI = 1 - RRE) and the diagnostic performance by receiver operating characteristic analyses. RESULTS: Reliability was good for most measures, except for the degree of herniation of the vermis and tonsil. Most values differed statistically significantly between children with and without Chiari II malformation. The measures mamillopontine distance and cerebellar width showed excellent diagnostic performance. CONCLUSIONS: Morphometric measures may reliably quantify the morphological distortions of Chiari II malformation on MR images and provide additional tools to assess the severity of Chiari II malformation in clinical and research settings
Erythema nodosum leprosum in Nepal: a retrospective study of clinical features and response to treatment with prednisolone or thalidomide.
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70372.pdf (publisher's version ) (Open Access)INTRODUCTION: Erythema nodosum leprosum (ENL) is an inflammatory reaction, which may occur in the course of leprosy and may result in nerve function impairment and subsequent disability. METHODS: This retrospective study explores demographic and disease specific parameters. Severity of ENL was assessed using the Reaction Severity Scale (RSS). Records of 94 patients were reviewed. The study reports also on the treatment of 76 of these patients who were treated with prednisolone alone or thalidomide in addition to prednisolone. RESULTS Thirty percent of patients presented with ENL at time of diagnosis; 41% developed ENL-reaction in the first year of MDT. Forty-eight percent of patients were treated for ENL-reaction for less than 12 months; 13% for more than 5 years. High RSS-scores correlated with a longer duration of treatment. In group A (prednisolone) 51.7% and in group B (prednisolone and thalidomide) 76.6% of patients were male. Age, leprosy classification, delay of multidrug treatment (MDT) and interval between MDT and first ENL-symptoms did not differ significantly in both groups. Median duration of ENL-treatment was 15 months in group A versus 38 months in group B (P < 0.001). At the start of treatment, ENL-reaction was less severe in group A (RSS = 12) than in group B (RSS = 18; P = 0.003). DISCUSSION: ENL-symptoms may be of help in the early diagnosis and adequate treatment of ENL. Characterisation of (sub) groups of patients with ENL based on presence and severity of symptoms is important for future prospective studies to better evaluate the efficacy of interventions
Op deugdelijke grondslag. Een explorerende studie naar de private forensische accountancy
Op deugdelijke grondslag. Een explorerende studie naar de private forensische accountancy
Age at diagnosis and breast cancer survival in iran
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108837.pdf (publisher's version ) (Open Access)Background. Tumour characteristics are the most important prognostic factors in breast cancer. Patient-related factors such as young age at diagnosis, obesity, and smoking behaviour may also modify disease outcome. Due to the absence of a unique definition for "young age breast cancer" and the resulting variation in disease management, findings on the association between young age and prognosis of breast cancer are controversial. Methods. This study included 1500 patients with a primary diagnosis of breast cancer in six Iranian hospitals from 5 provinces. We modelled the relative excess risk (RER) of breast cancer death to age at diagnosis and tumour characteristics. Results. Excess risks of death were observed for stage IV disease and poorly differentiated tumours: RER of 4.3 (95% CI: 1.05-17.65) and 3.4 (95% CI: 1.17-9.87), respectively. "Older" patients, particularly those aged 50 and over, presented more often with advanced and poorly differentiated tumours (P = 0.001). After adjustment for stage, histological grade, Her-2 expression, estrogen and progesterone receptors, and place of residency, breast cancer mortality was not significantly different across age groups. Conclusion. We conclude that there is no prognostic effect of age at diagnosis of breast cancer among breast cancer patients treated at cancer centres in different parts of Iran; young and relatively old women have similar risks of dying from breast cancer
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