The predictive value of mean platelet volume to platelet count ratio combined with APACHEⅡs for short-term prognosis of patients with acute kidney injury treated by continuous renal replacement therapy by TANG Ying-ying, NI Xun, Lv Jian-nong

“…Objective To investigate the predictive value of mean platelet volume(MPV)to platelet count(PLT)ratio(MPR)combined with acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)scoring for the short-term prognosis of patients with acute renal injury(AKI)treated with continuous renal replacement therapy(CRRT).Methods A total of 138 AKI patients who received CRRT in our hospital from January 2016 to October 2019 were retrospectively included.According to their survival conditions at discharge,they were divided into survival group(n=80)and death group(n=58).The value of MPR,APACHE Ⅱ score and their combination for predicting the death of AKI patients was analyzed by ROC curve.The independent risk factors for poor prognosis were evaluated by multivariate logistic regression analysis.Results(1)MPV,MPR and APACHE Ⅱ scores of patients in the death group were significantly higher than those in the survival group[(11.9±1.1)fl vs.(11.0±1.1)fl,P<0.01;0.11(0.09,0.14)vs.0.08(0.06,0.11),P<0.01;(25.0±3.5)score vs.(19.5±3.4)score,P<0.01].PLT count of patients in death group was significantly lower than that of survival group[(108.9±28.0)×10~9/L vs.(146.8±41.4)×10~9/L,P<0.01].(2)The cutoff values of MPR,APACHE Ⅱ score and the combination to predict the death of AKI patients were 0.08,24 points and 0.54,respectively.The AUC of death in AKI patients predicted by MPR combined with APACHE Ⅱ was significantly higher than that of MPR and APACHE Ⅱ alone[0.892(0.828-0.938)vs.0.737(0.656-0.809),P<0.01;0.892(0.828-0.938)vs.0.838(0.766-0.896),P<0.05].(3)APACHE Ⅱ score(≥24),MPR combined with APACHE Ⅱ score(APACHE Ⅱ score≥24,and MPR≥0.08),diuretics administration were the independent risk factors for poor prognosis in AKI patients[HR(95%CI):2.311(1.034-5.166),3.533(1.541-8.098),34.816(7.475-162.149),all P< 0.05].Conclusions MPR combined with APACHE Ⅱ score can well predict the short-term prognosis of AKI patients treated with CRRT.…”
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Comment on &amp;ldquo;Predictive Value of Advanced Lung Cancer Inflammation Index and Development of a Nomogram for Prognosis in Patients with Cervical Cancer Treated with Radiotherapy&amp;rdquo; [Response to Letter] by Yu Q, Jin X

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Multi-omics analysis unveils the predictive value of IGF2BP3/SPHK1 signaling in cancer stem cells for prognosis and immunotherapeutic response in muscle-invasive bladder cancer by Yaobang Wang, Wuyue Song, Chao Feng, Shulin Wu, Zezu Qin, Tao Liu, Yu Ye, Rong Huang, Yuanliang Xie, Zhong Tang, Qiuyan Wang, Tianyu Li

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Predictive Value of Age, Creatinine, and Ejection Fraction I and II Scores for Postoperative Atrial Fibrillation in Isolated On-Pump Coronary Artery Bypass Grafting Surgery: A Multicenter Retrospective Study by Sameh Alagha, Serkan Mola, Mehmet Çeber, Alp Yıldırım

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COMPARATIVE ANALYSIS OF ACTUAL AND PREDICTED CANCER MORTALITY IN THE RUSSIAN FEDERATION REGIONS AFFECTED BY RADIOACTIVE CONTAMINATION DUE TO THE CHERNOBYL ACCIDENT by V. V. Kuchumov, A. A. Lyapkalo, M. S. Nikolaevich

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Predictive value of the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) for all-cause and cardiovascular mortality with non-hyperhomocysteinemia: evidence from NHANES 1999 to 2006 by Liang Deng, Haicheng Zhong, Sheng Zhou, Ziming Wang, Jingjing Sun, Chang Liu, Xinghui Li, Quankai Cheng, Jie Deng

“…Lastly, the NHHR's predictive value for mortality as well as its potential mediating effects were evaluated.ResultsA total of 13,847 participants were included in our study. …”
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Comparison of robotic-assisted and laparoscopic partial nephrectomy based on the PADUA score and the predictive value of the PADUA score and the Mayo Adhesive Probability score for postoperative complications: a single-center retrospective study by Shuo Liu, Bowen Zhang, Bowen Weng, Xiangqiang Liu, Sichuan Hou

“…Abstract Purpose This study compared perioperative outcomes of robot-assisted partial nephrectomy (RAPN) and laparoscopic partial nephrectomy (LPN) through the PADUA score as well as assessed the predictive value of the PADUA score and the Mayo Adhesive Probability (MAP) score for postoperative complications. …”
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LIVING SUNNAH IN LOCAL CONTEXT: The Practice of Two Calls (Azan) for Fajr Prayer at al-Furqan Mosque by Syifa Mufida, Hairul Hudaya

Subjects: “…educational values, fajr call to prayer twice, living sunnah.…”
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Clinical Significance of Breast Cancer Molecular Subtypes and Ki67 Expression as a Predictive Value for Pathological Complete Response following Neoadjuvant Chemotherapy: Experience from a Tertiary Care Center in Lebanon by Ali Atoui, Maroun Bou Zerdan, Ahmad El Mahmoud, Nathalie Chamseddine, Lina Hamad, Hazem I. Assi

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The relationship of glycosylated hemoglobin A1c and Apolipoprotein A‑1 ratio on short-term prognosis in STEMI patients following PCI: a retrospective study by Danni Li, Yuyu Sun, Jie Han, Chen Guo, Linying Xia, Jiahao Dou, Wei Jiang, Jie Deng, Jin Wei

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Relationship between intact parathyroid hormone，fetal globulin A，serum creatinine/hemoglobin ratio and disorder of calcium and phosphorus metabolism in maintenance hemodialysis patients with chronic kidney disease and their predictive values for carotid artery calcification by Wang Xiao-hui, Cai Chun-tian, He Juan, Zhao Xiao-fan, He Liang-ping, Li Ming-hu, Li Xue-ying

“…ObjectiveTo explore the relationship between intact parathyroid hormone （iPTH），fetal globulin A （FA），serum creatinine/hemoglobin ratio （Scr/Hb） and calcium and phosphorus metabolism disorder in chronic renal failure patients with chronic kidney disease （CKD） on maintenance hemodialysis （MHD） and examine the predictive value of each parameter for carotid atherosclerosis.MethodsFrom July 2014 to July 2020，113 CKD patients on MHD were recruited and divided into two groups of sclerosis （<italic>n</italic>=30） and non-sclerosis （<italic>n</italic>=83）.The baseline levels of iPTH，FA and Scr/Hb of two groups were recorded.The related influencing factors of carotid atherosclerosis，parameters of calcium and phosphorus metabolism and their correlations were examined.ResultsBaseline phosphorus，iPTH and Scr/Hb in sclerosis group were higher than those in non-sclerosis group ［（1.89±0.42）mmol/L、305.26（152.63，608.19）μg/L、7.16±2.19 <italic>vs </italic>（1.30±0.36）mmol/L、238.47（118.05，506.11）μg/L、4.38±1.38，<italic>P</italic>&lt;0.001］，FA was lower than that of non-sclerosis group ［（74.62±20.61）mg/L <italic>vs </italic>（95.33±25.80）mg/L，<italic>P</italic>&lt;0.05］； mean values of iPTH，FA and Scr/Hb were selected as boundary，&lt;mean value was low level，≥ mean value high level.High levels of iPTH and Scr/Hb were higher than those with low levels ［（1.60±0.39）mmol/L <italic>vs </italic>（1.18±0.33）mmol/L，（1.71±0.55）mmol/L <italic>vs </italic>（0.97±0.31）mmol/L］ and those with high levels of FA lower than those with low levels ［（1.25±0.34）mmol/L <italic>vs </italic>（1.72±0.40）mmol/L，<italic>P</italic>&lt;0.05］； iPTH，Scr/Hb and phosphorus were positively correlated while FA was negatively correlated with phosphorus （<italic>P</italic>&lt;0.05）；iPTH，FA，Scr/Hb were still associated with IMT （<italic>P</italic>&lt;0.05）； the area under the curve （AUC） of iPTH，FA and Scr/Hb for predicting carotid atherosclerosis were 0.742，0.776 and 0.790 respectively.It was the largest at 0.918 for combined predicting.The optimal predictive sensitivity and specificity were 93.33% and 85.54% respectively.ConclusioniPTH，FA and Scr/Hb are closely correlated with disorder of calcium and phosphorus metabolism in chronic renal failure patients with CKD on MHD.These parameters offer high application values in predicting carotid atherosclerosis.…”
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ENHANCING INCLUSIVE EDUCATION: ANALYSING THE IMPACT OF TRAINING PROGRAMS ON TEACHER PERCEPTIONS AND SCHOOL VALUES by Elena MARIN, Mihaela Monica STÎNGU, Veronica-Lulu-Viorica TORCĂRESCU

Subjects: “…educational values…”
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Machine learning based metabolomic and genetic profiles for predicting multiple brain phenotypes by Xueli Zhang, Yu Huang, Shunming Liu, Shuo Ma, Min Li, Zhuoting Zhu, Wei Wang, Xiayin Zhang, Jiahao Liu, Shulin Tang, Yijun Hu, Zongyuan Ge, Honghua Yu, Mingguang He, Xianwen Shang

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VALUE OF EDUCATION: INVERSION OF MEANINGS by Dmitry A. Sevostyanov, Alisa R. Gainanova

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PRE-SCHOOL TEACHER PROFESSIONAL DEVELOPMENT: VALUE ASPECTS by Rutheniya R. Denisova

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Optimization of the prognosis of postoperative complications in patients with breast cancer by L. A. Trusova

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A new method of assessing airways and selecting the method of tracheal intubation in patients with burns of face and neck during planned surgery by A. V. Korneev, S. A. Orudzheva, A. N. Kudryavtsev, A. A. Ponomarev

“…Sensitivity, specificity, positive predictive value, and negative predictive value made 100%, 37%, 45,2%, and 100% accordingly. …”
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Histopathological correlation of breast lump with the mammographic and cytological findings by Rashmita Bhandari, Pratigya Subedi, Jwala Kandel

“…The present study aims to compare mammography and cytology against the histopathological diagnosis to determine the sensitivity, specificity, negative predictive value, positive predictive value, and diagnostic accuracy of both techniques. …”
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Clinical Utility of Next-Generation Sequencing-Based Molecular Panel in Thyroid Nodules by Hetashvi Gondaliya, Suruchi Aggarwal, Kranti Khadilkar, Shivaprasad S. Kumbenahalli, Basavaraj Sooragonda, Anirudh J. Shetty, Vijay Pillai, Vidhya Bhushan, Vivek Shetty, Yogesh Dokhe, Akhila Lakshmikantha, Subramanian Kannan

“…Post-surgical outcomes showed an overall sensitivity of 86% and a specificity of 74%, with a negative predictive value of 94%. Among the mutation-negative group, only one patient had a malignancy, and the rest were benign showing a high negative predictive value of the NGS-based testing. …”
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Portable lactate analyzer for measuring lactate in cerebrospinal fluid (CSF) and plasma ? method-comparison evaluations by Sérgio Monteiro de Almeida, Jennifer Marquie-Beck, Archana Bhatt, Scott Letendre, Allen McCutchan, Ron Ellis

“…For CSF the specificity was 0.95; the sensitivity 0.33; the negative predictive value was 95% and the positive predictive value 33%. …”
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