25 research outputs found

    Kedudukan Anak Akibat Batalnya Perkawinan Karena Hubungan Darah Menurut Hukum Positif

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    Penelitian ini dilakukan dengan tujuan untuk mengetahui bagaimana pengaturan hukum tentang Pembatalan Perkawinan karena hubungan darah menurut Hukum Positif Di Indonesia dan bagaimana kedudukan hukum anak yang lahir setelah pembatalan perkawinan menurut Hukum Positif di Indonesia. Dengan menggunakan metode penelitian yuridis normatif, maka dapat disimpulkan: 1. Pengaturan hukum mengenai pembatalan perkawinan di Indonesia masih beragam walaupun Undang-Undang perkawinan yaitu Undang-Undang Nomor 1 Tahun 1974 seringkali disebut unifikasi hukum perkawinan. Pembatalan perkawinan merupakan putusnya perkawinan disebabkan persyaratan perkawinan yang diatur dalam undang-undang dan larangan perkawinan tidak dipenuhi. 2. Status hukum anak yang lahir dalam perkawinan yang telah batal pada dasarnya merupakan anak yang sah sebagaimana diatur dalam Undang-Undang Nomor 1 Tahun 1974 dalam Pasal 28. Berdasarkan Putusan Mahkamah Konstitusi Nomor 46/PUU-VIII/2010 Tentang Pengujian pasal 2 ayat 2 dan pasal 43 ayat 1 Undang-Undang Perkawinan yaitu Undang-Undang Nomor 1 Tahun 1974 yang menyatakan bahwa pasal 43 ayat Undang-Undang Nomor 1 Tahun 1974 melanggar Undang-Undang Dasar Republik Indonesia pasal 28 B ayat 1 dan 2 dan pasal 28 D ayat 1

    Clinical utility of C-reactive protein to predict treatment response during cystic fibrosis pulmonary exacerbations

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    <div><p>Rationale</p><p>C-reactive protein (CRP) is a systemic marker of inflammation that correlates with disease status in cystic fibrosis (CF). The clinical utility of CRP measurement to guide pulmonary exacerbation (PEx) treatment decisions remains uncertain.</p><p>Objectives</p><p>To determine whether monitoring CRP during PEx treatment can be used to predict treatment response. We hypothesized that early changes in CRP can be used to predict treatment response.</p><p>Methods</p><p>We reviewed all PEx events requiring hospitalization for intravenous (IV) antibiotics over 2 years at our institution. 83 PEx events met our eligibility criteria. CRP levels from admission to day 5 were evaluated to predict treatment non-response, using a modified version of a prior published composite definition. CRP was also evaluated to predict time until next exacerbation (TUNE).</p><p>Measurements and main results</p><p>53% of 83 PEx events were classified as treatment non-response. Paradoxically, 24% of PEx events were characterized by a ≥ 50% increase in CRP levels within the first five days of treatment. Absolute change in CRP from admission to day 5 was not associated with treatment non-response (p = 0.58). Adjusted for FEV<sub>1</sub>% predicted, admission log<sub>10</sub> CRP was associated with treatment non-response (OR: 2.39; 95% CI: 1.14 to 5.91; p = 0.03) and shorter TUNE (HR: 1.60; 95% CI: 1.13 to 2.27; p = 0.008). The area under the receiver operating characteristics (ROC) curve of admission CRP to predict treatment non-response was 0.72 (95% CI 0.61–0.83; p<0.001). 23% of PEx events were characterized by an admission CRP of > 75 mg/L with a specificity of 90% for treatment non-response.</p><p>Conclusions</p><p>Admission CRP predicts treatment non-response and time until next exacerbation. A very elevated admission CRP (>75mg/L) is highly specific for treatment non-response and might be used to target high-risk patients for future interventional studies aimed at improving exacerbation outcomes.</p></div

    Scatterplot of admission (day 0) C-reactive protein (CRP) levels and WBC count.

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    <p>CRP and WBC are significantly correlated but 45% of pulmonary exacerbation events are characterized by an elevated CRP (>3.1 mg/L) and normal WBC (<11 x 10<sup>9</sup> cells/L).</p

    Additional file 8: Figure S3. of SABRE: a method for assessing the stability of gene modules in complex tissues and subject populations

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    Random module stability. To get a sense of the stability that could be expected of a module containing genes with minimal relation to each other, a simulation study was carried out. Modules of size 50, 100, 150, 200, 250, 300, 350, and 400 were randomly assembled by sampling from the all 2512 gene symbols in the filtered dataset. This was done 100 times for each size of module. For each random module, their best match Jaccard similarity ceofficients were computed for each of the 1000 bootstrap results previously generated, and the resulting distribution was summarized using the h-index. (PNG 51 kb
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