S. Visedthorn, Pavit Klomkliew, Vorthon Sawaswong, Pavaret Sivapornnukul, Prangwalai Chanchaem, T. Saejew, P. Pavatung, T. Kanjanabuch, S. Payungporn
{"title":"Bacterial classification based on metagenomic analysis in peritoneal dialysis effluent of patients with chronic kidney disease","authors":"S. Visedthorn, Pavit Klomkliew, Vorthon Sawaswong, Pavaret Sivapornnukul, Prangwalai Chanchaem, T. Saejew, P. Pavatung, T. Kanjanabuch, S. Payungporn","doi":"10.3892/br.2024.1790","DOIUrl":"https://doi.org/10.3892/br.2024.1790","url":null,"abstract":"","PeriodicalId":8863,"journal":{"name":"Biomedical reports","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140978370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Martha A Mendoza-Hernandez, Gustavo A. Hernández-Fuentes, C. Sánchez-Ramírez, Fabián Rojas-Larios, J. Guzmán-Esquivel, I. Rodríguez-Sánchez, M. Martinez-Fierro, M. Cárdenas-Rojas, Luis de-Leon-Zaragoza, Benjamin Trujillo‑Hernandez, Mercedes Fuentes‑Murguia, H. Ochoa-Díaz-López, Karmina Sánchez‑Meza, Iván Delgado-Enciso
Clinical data from hospital admissions are typically utilized to determine the prognostic capacity of Coronavirus disease 2019 (COVID-19) indices. However, as disease status and severity markers evolve over time, time-dependent receiver operating characteristic (ROC) curve analysis becomes more appropriate. The present analysis assessed predictive power for death at various time points throughout patient hospitalization. In a cohort study involving 515 hospitalized patients (General Hospital Number 1 of Mexican Social Security Institute, Colima, Mexico from February 2021 to December 2022) with COVID-19, seven severity indices [Pneumonia Severity Index (PSI) PaO2/FiO2 arterial oxygen pressure/fraction of inspired oxygen (Kirby index), the Critical Illness Risk Score (COVID-GRAM), the National Early Warning Score 2 (NEWS-2), the quick Sequential Organ Failure Assessment score (qSOFA), the Fibrosis-4 index (FIB-4) and the Viral Pneumonia Mortality Score (MuLBSTA were evaluated using time-dependent ROC curves. Clinical data were collected at admission and at 2, 4, 6 and 8 days into hospitalization. The study calculated the area under the curve (AUC), sensitivity, specificity, and predictive values for each index at these time points. Mortality was 43.9%. Throughout all time points, NEWS-2 demonstrated the highest predictive power for mortality, as indicated by its AUC values. PSI and COVID-GRAM followed, with predictive power increasing as hospitalization duration progressed. Additionally, NEWS-2 exhibited the highest sensitivity (>96% in all periods) but showed low specificity, which increased from 22.9% at admission to 58.1% by day 8. PSI displayed good predictive capacity from admission to day 6 and excellent predictive power at day 8 and its sensitivity remained >80% throughout all periods, with moderate specificity (70.6-77.3%). COVID-GRAM demonstrated good predictive capacity across all periods, with high sensitivity (84.2-87.3%) but low-to-moderate specificity (61.5-67.6%). The qSOFA index initially had poor predictive power upon admission but improved after 4 days. FIB-4 had a statistically significant predictive capacity in all periods (P=0.001), but with limited clinical value (AUC, 0.639-0.698), and with low sensitivity and specificity. MuLBSTA and IKIRBY exhibited low predictive power at admission and no power after 6 days. In conclusion, in COVID-19 patients with high mortality rates, NEWS-2 and PSI consistently exhibited predictive power for death during hospital stay, with PSI demonstrating the best balance between sensitivity and specificity.
{"title":"Time‑dependent ROC curve analysis to determine the predictive capacity of seven clinical scales for mortality in patients with COVID‑19: Study of a hospital cohort with very high mortality","authors":"Martha A Mendoza-Hernandez, Gustavo A. Hernández-Fuentes, C. Sánchez-Ramírez, Fabián Rojas-Larios, J. Guzmán-Esquivel, I. Rodríguez-Sánchez, M. Martinez-Fierro, M. Cárdenas-Rojas, Luis de-Leon-Zaragoza, Benjamin Trujillo‑Hernandez, Mercedes Fuentes‑Murguia, H. Ochoa-Díaz-López, Karmina Sánchez‑Meza, Iván Delgado-Enciso","doi":"10.3892/br.2024.1788","DOIUrl":"https://doi.org/10.3892/br.2024.1788","url":null,"abstract":"Clinical data from hospital admissions are typically utilized to determine the prognostic capacity of Coronavirus disease 2019 (COVID-19) indices. However, as disease status and severity markers evolve over time, time-dependent receiver operating characteristic (ROC) curve analysis becomes more appropriate. The present analysis assessed predictive power for death at various time points throughout patient hospitalization. In a cohort study involving 515 hospitalized patients (General Hospital Number 1 of Mexican Social Security Institute, Colima, Mexico from February 2021 to December 2022) with COVID-19, seven severity indices [Pneumonia Severity Index (PSI) PaO2/FiO2 arterial oxygen pressure/fraction of inspired oxygen (Kirby index), the Critical Illness Risk Score (COVID-GRAM), the National Early Warning Score 2 (NEWS-2), the quick Sequential Organ Failure Assessment score (qSOFA), the Fibrosis-4 index (FIB-4) and the Viral Pneumonia Mortality Score (MuLBSTA were evaluated using time-dependent ROC curves. Clinical data were collected at admission and at 2, 4, 6 and 8 days into hospitalization. The study calculated the area under the curve (AUC), sensitivity, specificity, and predictive values for each index at these time points. Mortality was 43.9%. Throughout all time points, NEWS-2 demonstrated the highest predictive power for mortality, as indicated by its AUC values. PSI and COVID-GRAM followed, with predictive power increasing as hospitalization duration progressed. Additionally, NEWS-2 exhibited the highest sensitivity (>96% in all periods) but showed low specificity, which increased from 22.9% at admission to 58.1% by day 8. PSI displayed good predictive capacity from admission to day 6 and excellent predictive power at day 8 and its sensitivity remained >80% throughout all periods, with moderate specificity (70.6-77.3%). COVID-GRAM demonstrated good predictive capacity across all periods, with high sensitivity (84.2-87.3%) but low-to-moderate specificity (61.5-67.6%). The qSOFA index initially had poor predictive power upon admission but improved after 4 days. FIB-4 had a statistically significant predictive capacity in all periods (P=0.001), but with limited clinical value (AUC, 0.639-0.698), and with low sensitivity and specificity. MuLBSTA and IKIRBY exhibited low predictive power at admission and no power after 6 days. In conclusion, in COVID-19 patients with high mortality rates, NEWS-2 and PSI consistently exhibited predictive power for death during hospital stay, with PSI demonstrating the best balance between sensitivity and specificity.","PeriodicalId":8863,"journal":{"name":"Biomedical reports","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140995734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rang Wu, Yazhou Jiang, Jingjing Yan, Nan Shen, Song Liu, H. Yin, Suyue Zhu, Jibing Qiao
Phototherapy is the most commonly used treatment for neonatal hyperbilirubinemia (NH). Gut microbiota is involved in bilirubin metabolism; however, it is uncertain whether this is affected by phototherapy. The present study included 43 newborns with hyperbilirubinemia and collected fecal samples for high-throughput sequencing before and after phototherapy. Selection α diversity analysis was used to determine the differences in diversity and abundance between the two groups, whereas similarity was determined using β diversity analysis. Linear discriminant analysis effect size analysis was used to screen for markedly different bacteria. The structure of the gut microbiota in newborns with hyperbilirubinemia changed after phototherapy, with a significant decrease in abundance and diversity. The changes in the key bacterial species were characterized by an increase in the abundance of Streptococcus salivarius and a decrease in the abundance of Escherichia, Klebsiella pneumoniae, Rothia mucilaginosa and Streptococcus oralis. These changes mainly manifested as an increase in beneficial bacteria and a decrease in opportunistic bacteria, which may not be related to the side effects of phototherapy. These results can provide theoretical assistance for microbiological research on the later stages of NH.
{"title":"Beneficial changes in gut microbiota after phototherapy for neonatal hyperbilirubinemia","authors":"Rang Wu, Yazhou Jiang, Jingjing Yan, Nan Shen, Song Liu, H. Yin, Suyue Zhu, Jibing Qiao","doi":"10.3892/br.2024.1789","DOIUrl":"https://doi.org/10.3892/br.2024.1789","url":null,"abstract":"Phototherapy is the most commonly used treatment for neonatal hyperbilirubinemia (NH). Gut microbiota is involved in bilirubin metabolism; however, it is uncertain whether this is affected by phototherapy. The present study included 43 newborns with hyperbilirubinemia and collected fecal samples for high-throughput sequencing before and after phototherapy. Selection α diversity analysis was used to determine the differences in diversity and abundance between the two groups, whereas similarity was determined using β diversity analysis. Linear discriminant analysis effect size analysis was used to screen for markedly different bacteria. The structure of the gut microbiota in newborns with hyperbilirubinemia changed after phototherapy, with a significant decrease in abundance and diversity. The changes in the key bacterial species were characterized by an increase in the abundance of Streptococcus salivarius and a decrease in the abundance of Escherichia, Klebsiella pneumoniae, Rothia mucilaginosa and Streptococcus oralis. These changes mainly manifested as an increase in beneficial bacteria and a decrease in opportunistic bacteria, which may not be related to the side effects of phototherapy. These results can provide theoretical assistance for microbiological research on the later stages of NH.","PeriodicalId":8863,"journal":{"name":"Biomedical reports","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140995683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Combining KRAS gene status with preoperative D‑dimer levels as a predictive marker of venous thromboembolism risk in patients with resectable colorectal cancer: A prospective cohort study","authors":"Duogang Xu, Yulei He, Changkang Liao, Jing Tan","doi":"10.3892/br.2024.1784","DOIUrl":"https://doi.org/10.3892/br.2024.1784","url":null,"abstract":"","PeriodicalId":8863,"journal":{"name":"Biomedical reports","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140673468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Radiocontrast medium induces histamine release in association with upregulation of miR‑19a‑3p and miR‑362‑3p expression","authors":"Wei-Fang Chang, Po-Wei Huang, Chia-Ling Li, Hung-Sen Huang, Ting-Yu Chou, En-Chih Liao, Sheng-Jie Yu","doi":"10.3892/br.2024.1780","DOIUrl":"https://doi.org/10.3892/br.2024.1780","url":null,"abstract":"","PeriodicalId":8863,"journal":{"name":"Biomedical reports","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140683237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Iulian-Alexandru Taciuc, M. Dumitru, Daniela Vrinceanu, Mirela Gherghe, F. Manole, A. Marinescu, Crenguta Serboiu, A. Neagos, Adrian Costache
{"title":"Applications and challenges of neural networks in otolaryngology (Review)","authors":"Iulian-Alexandru Taciuc, M. Dumitru, Daniela Vrinceanu, Mirela Gherghe, F. Manole, A. Marinescu, Crenguta Serboiu, A. Neagos, Adrian Costache","doi":"10.3892/br.2024.1781","DOIUrl":"https://doi.org/10.3892/br.2024.1781","url":null,"abstract":"","PeriodicalId":8863,"journal":{"name":"Biomedical reports","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140682608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Efficacy and safety of lurasidone for schizophrenia: A systematic review and meta‑analysis of eight short‑term, randomized, double‑blind, placebo‑controlled clinical trials","authors":"Shan Gao, Ling Fan, Zhigang Yu, Xingxing Xie","doi":"10.3892/br.2024.1779","DOIUrl":"https://doi.org/10.3892/br.2024.1779","url":null,"abstract":"","PeriodicalId":8863,"journal":{"name":"Biomedical reports","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140714919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Zheng, Hongmeng Su, Min Liu, Yanyan Qian, Hong Fan
{"title":"miRNA‑mRNA network contributes to HBV‑related hepatocellular carcinoma via immune infiltration induced by GRB2","authors":"C. Zheng, Hongmeng Su, Min Liu, Yanyan Qian, Hong Fan","doi":"10.3892/br.2024.1777","DOIUrl":"https://doi.org/10.3892/br.2024.1777","url":null,"abstract":"","PeriodicalId":8863,"journal":{"name":"Biomedical reports","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140715138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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