Predicting chronic kidney disease progression using small pathology datasets and explainable machine learning models by Sandeep Reddy, Supriya Roy, Kay Weng Choy, Sourav Sharma, Karen M Dwyer, Chaitanya Manapragada, Zane Miller, Joy Cheon, Bahareh Nakisa

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Future Habitat Shifts and Economic Implications for Ophiocordyceps sinensis Under Climate Change by Liangliang Chen, Hongfen Teng, Songchao Chen, Yin Zhou, Dan Wan, Zhou Shi

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Branch-type intraductal papillary neoplasm of the bile duct treated with laparoscopic anatomical resection: a case report by Rumi Matono, Mizuki Ninomiya, Kazutoyo Morita, Takahiro Tomino, Yumi Oshiro, Tomoyuki Yokota, Takashi Nishizaki

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Identifying irrigated areas using land surface temperature and hydrological modelling: application to the Rhine basin by D. Purnamasari, D. Purnamasari, A. J. Teuling, A. H. Weerts, A. H. Weerts

“…From the multiyear results, the largest irrigated area was found in the Alsace region in the Rhine valley, where the irrigation extent is negatively correlated with precipitation (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M4" display="inline" overflow="scroll" dspmath="mathml"><mrow><mi>r</mi><mo>=</mo><mo>-</mo><mn mathvariant="normal">0.82</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="49pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="299065433f076373bbbe147fde16e8b4"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="hess-29-1483-2025-ie00001.svg" width="49pt" height="10pt" src="hess-29-1483-2025-ie00001.png"/></svg:svg></span></span>, <span class="inline-formula"><i>p</i></span> value <span class="inline-formula">=</span> 0.004) and less with potential evapotranspiration (ET).…”
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Effectiveness of Self-Training With a Web-Based Digital Health Application Versus Physiotherapy in the Treatment of Disorders of the Patella: Randomized Controlled Trial by Tobias A Mayer, Daniel Koska, Ann-Kathrin Harsch, Christian Maiwald

“…ResultsTraining with the DHA resulted in a 4.5-fold greater improvement in “knee function” (PRE–POST differences in KOOSADL score; IG DHA: 15.7 points, 95% CI 13.7-17.6 vs CG SHI-PT: 3.5 points, 95% CI 1.5-5.5) and a 3.5-fold greater reduction in “knee pain” (PRE–POST differences in VAS pain score; IG DHA: –22.5 points, 95% CI –25.2 to –19.9 vs CG SHI-PT: –6.5 points, 95% CI –8.7 to –4.4) compared to SHI-PT. …”
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Risk Factors and Prediction Model for Postoperative Pneumonia Following Hip Arthroplasty in Older Adults by Xiang B, Zhang J, Deng C, Yang H, Qian L, Zhang W

“…The final prediction model for postoperative pneumonia was: P = 1 / [1 + e^(− 3.690 + 0.982×ASA + 0.982×ICU + 0.806×Preoperative Anemia + 1.494×CKMB + 0.843×BNP + 0.917×Postoperative AST)], with Hosmer-Lemeshow χ² = 5.989 (P = 0.541). …”
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Trends and Hospitalization Outcomes of Tetanus Cases: A Multicenter Retrospective Study in Suzhou, 2013&ndash;2023 by Yu J, Zheng B, Liu N, Zhu Y, Hui F, Zhang J, Luan L

“…Patients were classified into two groups as severe or non-severe, using the Ablett classification. Differences between the two groups were compared using the Chi-squared test, Fisher’s exact test and Mann–Whitney U-test. …”
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Diagnosis of respiratory epithelial clearance abnormality in patients suffering from chemo-resistant pulmonary tuberculosis with comorbidity of bronchial mucosa by O. M. Raznatovska, V. M. Khlystun

“…Pathology of a bronchial tree was described according to classification by M. V. Shesterina, A. N. Kalyuk (1975). …”
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Microbiological Diagnostic Performance and Clinical Effect of Metagenomic Next-Generation Sequencing for the Detection of Immunocompromised Patients With Community-Acquired Pneumon... by Zheng H, Peng P, Wang S, Zhang B, Yang L, Wang Y, Li L, Pang G

“…Streptococcus pneumoniae, Candida albicans, and Human herpesvirus 4 at classification level emerged as the predominant pathogens identified in CAP patients through mNGS. …”
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Red Blood Cell Distribution Width/Hematocrit Ratio: A New Predictor of 28 Days All-Cause Mortality of AECOPD Patients in ICU by Long Z, Zeng Q, Ou Y, Liu Y, Hu J, Wang Y, Wang Y

“…Zhiwei Long,1,2,&ast; Qiyuan Zeng,2,&ast; Yonger Ou,1,&ast; Yuelin Liu,2,3 Jieying Hu,1 Ya Wang,1,3 Yan Wang1 1State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China; 2Department of Clinical Medicine, Guangzhou Medical University, Guangzhou, People’s Republic of China; 3Department of Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University; Guangzhou Institute of Respiratory and Health; Medical Center for Respiratory Medicine; State Key Laboratory of Respiratory Disease, Guangzhou, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Yan Wang; Ya Wang, Email 345406739@qq.com; wangya811710@163.comPurpose: Elevated red blood cell distribution width (RDW) and decreased hematocrit (HCT) levels are associated with poor prognosis in chronic obstructive pulmonary disease (COPD) patients, but their significance in intensive care unit (ICU) patients with acute exacerbation of COPD (AECOPD) remains uncertain. …”
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Facial puffiness caused by dengue fever; two female returning travelers from Laos, and India in the COVID-19 era by Prof Yuji Hirai, Dr. Noriomi Ishibashi

“…Indian J Dermatol. 2010; 55(1): 79–85. 3. Clinical profile of dengue among children according to revised WHO classification: analysis of a 2012 outbreak from Southern India. …”
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Global economic burden of schizophrenia: letter in response by Neil AL, Carr VJ

“…Schizophrenia is the prototypical and most prevalent among the psychotic disorders, and schizophrenia is certainly used as a generic term in reference to the &amp;ldquo;schizophrenia-related disorders&amp;rdquo;, International Classification of Diseases (ICD)-10 codes F20&amp;ndash;F29. …”
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Association of benzene exposure and atrial fibrillation in a national cohort: The modifying effect of genetic susceptibility by Jingjia Liang, Yiyi Wang, Zhixi Lu, Guangfeng Long, Bingjian Wang, Cheng Xu

“…AF patients were identified using the International Classification of Diseases 10th Revision (ICD-10) code. …”
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Differences in Characteristics of Peripartum Patients Who Did and Did Not Require an Upgrade to the Intensive Care Unit: A Propensity Score Matching Study by Jennifer A. Walker, Jerry M. Yang, Saad Pirzada, Manahel Zahid, Samantha Asuncion, Amanda Tuchler, Gillian Cooper, Allison Lankford, Emad Elsamadicy, Quincy K. Tran

“…The Median Sequential Organ Failure Assessment Score [Interquartile] at ward admission for the controls was 0 [0–1] versus 2 [0–3.3, <i>p</i> = 0.001] for upgrade patients. The Sequential Organ Failure Assessment score at Maternal Fetal Ward admission was most predictive, followed by the Acute Physiology and Chronic Health Evaluation II (APACHE II) score, and lactate dehydrogenase levels. …”
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Hybrid Deep Learning-Based Enhanced Occlusion Segmentation in PICU Patient Monitoring by Mario Francisco Munoz, Hoang Vu Huy, Thanh-Dung Le, Philippe Jouvet, Rita Noumeir

“…The proposed framework yields an overall classification performance with 92.5&#x0025; accuracy, 93.8&#x0025; recall, 90.3&#x0025; precision, and 92.0&#x0025; F1-score. …”
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Validating 10-joint juvenile arthritis disease activity score cut-offs for disease activity levels in non-systemic juvenile idiopathic arthritis by Paula Vähäsalo, Paula Keskitalo, Maria Backström, Pirjo Tynjälä, Kristiina Aalto, Minna-Maija Grönlund, Heikki Ylijoki, Anne Putto-Laurila, Johanna Kärki, Sirja Sard, Heini Pohjankoski, Maiju Hietanen, Silke Witter, Helena Lehto, Eliisa Löyttyniemi

“…We suggest JADAS10 cut-off values for oligoarticular/polyarticular disease to be in CID: 0.0–0.5/0.0–0.7, LDA: 0.6–3.8/0.8–5.1 and MDA: &gt;3.8/5.1. Suitable cJADAS10 cut-offs are the same as JADAS10 cut-offs in oligoarticular disease. …”
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Predicting recurrence risk in endometrial cancer: a multisequence MRI intratumoral and peritumoral radiomics nomogram approach by Jie Li, Jie Li, Dianpei Ma, Dianpei Ma, Xiuting Chen, Xiuting Chen, Junting Wei, Junting Wei, Jiali Xu, Yingming Zhao, Zhizhen Gao

“…Optimal radiomics features were selected using the f-classification function, minimum redundancy maximum relevance (mRMR) method, and least absolute shrinkage and selection operator (Lasso). …”
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Impact of Different CKD Definitions on Long-Term Renal Function and Mortality in a Population-Based Cohort Study by Delal Dalga, Aurélie Huber, Anne Dufey, Peter Vollenweider, Pedro Marques-Vidal, Sophie de Seigneux, Belen Ponte, Lena Berchtold

“…Conclusion: In our study, classification of CKD by age or i-BSA does not appear to improve prediction of RRFD and mortality.…”
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Epidemiological transition in morbidity: 10-year data from emergency consultations in Dakar, Senegal by Archana Singh-Manoux, Eloi Marijon, Xavier Jouven, Bamba Gaye, Massamba Diop, Kumar Narayanan, Lucile Offredo, Peter Reese, Marie Antignac, Vasenta Diop, Ahmadoul Badaviyou Mbacké, Louise Boyer Chatenet, Ibrahima Bara Diop

“…The mean age was 36.5±23.2 and 34.8±24.3 years for women and men, respectively. Overall, infections accounted for 46.3% and 42.9% and non-communicable conditions 32.2% and 40.1% of consultations in women and men, respectively. …”
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Reduced Fetuin‐A Levels Are Associated With Exercise Intolerance and Predict the Risk of Adverse Outcomes in Patients With Heart Failure: The Role of Cardiac–Hepatic–Peripheral Int... by Yusuke Tomita, Tomofumi Misaka, Yukiko Sugawara, Yasuhiro Ichijo, Fumiya Anzai, Yu Sato, Yusuke Kimishima, Tetsuro Yokokawa, Takamasa Sato, Masayoshi Oikawa, Atsushi Kobayashi, Akiomi Yoshihisa, Yasuchika Takeishi

“…Classification and regression tree analysis identified a high‐risk subgroup with lower fetuin‐A (<24.3 mg/L) and impaired exercise tolerance (peak oxygen uptake<14.2 mL/kg per min). …”
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