Background: This study aimed to identify pathogens and factors that predict the outcome of severe COVID-19 by utilizing metagenomic next-generation sequencing (mNGS) technology.
Methods: We retrospectively analyzed data from 56 severe COVID-19 patients admitted to our hospital between December 2022 and March 2023. We analyzed the pathogen types and strains detected through mNGS and conventional microbiological testing and collected general patient information.
Results: In this study, 42 pathogens were detected using mNGS and conventional microbiological testing. mNGS had a significantly higher detection rate of 90.48% compared to 71.43% for conventional testing (P=0.026). A total of 196 strains were detected using both methods, with a significantly higher detection rate of 70.92% for mNGS compared to 49.49% for conventional testing (P=0.000). The 56 patients were divided into a survival group (33 cases) and a death group (23 cases) based on clinical outcomes. The survival group had significantly lower age, number of pathogens detected by mNGS, number of pathogens detected by conventional testing, APACHE-II score, SOFA score, high-sensitivity troponin, creatine kinase-MB subtype, and lactate dehydrogenase compared to the death group (P<0.05). Multivariate logistic regression analysis showed that these factors were risk factors for mortality in severe COVID-19 patients (P<0.05). In contrast, ROC curve analysis revealed that these factors had diagnostic values for mortality, with AUC values ranging from 0.657 to 0.963. The combined diagnosis of these indicators had an AUC of 0.924.
Conclusions: The use of mNGS technology can significantly enhance the detection of pathogens in severe cases of COVID-19 and also has a solid ability to predict clinical outcomes.
{"title":"Exploring the pathogen diagnosis and prognostic factors of severe COVID-19 using metagenomic next-generation sequencing: A retrospective study.","authors":"Weizhong Zeng, Yanchao Liang, Xiaoyuan He, Fangwei Chen, Jiali Xiong, Zhenhua Wen, Liang Tang, Xun Chen, Juan Zhang","doi":"10.5937/jomb0-49102","DOIUrl":"10.5937/jomb0-49102","url":null,"abstract":"<p><strong>Background: </strong>This study aimed to identify pathogens and factors that predict the outcome of severe COVID-19 by utilizing metagenomic next-generation sequencing (mNGS) technology.</p><p><strong>Methods: </strong>We retrospectively analyzed data from 56 severe COVID-19 patients admitted to our hospital between December 2022 and March 2023. We analyzed the pathogen types and strains detected through mNGS and conventional microbiological testing and collected general patient information.</p><p><strong>Results: </strong>In this study, 42 pathogens were detected using mNGS and conventional microbiological testing. mNGS had a significantly higher detection rate of 90.48% compared to 71.43% for conventional testing (P=0.026). A total of 196 strains were detected using both methods, with a significantly higher detection rate of 70.92% for mNGS compared to 49.49% for conventional testing (P=0.000). The 56 patients were divided into a survival group (33 cases) and a death group (23 cases) based on clinical outcomes. The survival group had significantly lower age, number of pathogens detected by mNGS, number of pathogens detected by conventional testing, APACHE-II score, SOFA score, high-sensitivity troponin, creatine kinase-MB subtype, and lactate dehydrogenase compared to the death group (P<0.05). Multivariate logistic regression analysis showed that these factors were risk factors for mortality in severe COVID-19 patients (P<0.05). In contrast, ROC curve analysis revealed that these factors had diagnostic values for mortality, with AUC values ranging from 0.657 to 0.963. The combined diagnosis of these indicators had an AUC of 0.924.</p><p><strong>Conclusions: </strong>The use of mNGS technology can significantly enhance the detection of pathogens in severe cases of COVID-19 and also has a solid ability to predict clinical outcomes.</p>","PeriodicalId":16175,"journal":{"name":"Journal of Medical Biochemistry","volume":"43 4","pages":"528-536"},"PeriodicalIF":2.0,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11318844/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141975865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T. Gojković, S. Vladimirov, T. Antonić, N. Bogavac-Stanojević, Katarina Novovic, V. Spasojević-Kalimanovska, B. Filipić
Background: The pre-analytical (PA) phase is the most vulnerable phase of laboratory testing procedure, with critical procedures-collection, handling, sample transport, and time and temperature of sample storage. The aim of this study was to examine if different anticoagulants, storage conditions, and freeze-thaw cycles (FTCs) influence the concentrations of basic biochemical parameters. In parallel, the presence and the effect of sample microbiological contamination during routine laboratory work were examined. Methods: Two plasma pools (EDTA, and sodium-fluoride/potassium oxalate plasma (NaF)) were stored at +4C˚/-20˚C. Total cholesterol (TC), glucose, triglycerides (TG), urea, total protein (TP), and albumin concentrations were measured using Ilab 300+. Sample microbiological contamination was determined by 16S rRNA sequence analysis. The experiment encompassed a 5 day-period: Day 1–fresh sample, Day 2–1st FTC, Day 3–2nd FTC, Day 4–3rd FTC, Day 5–4th FTC. The appearance of bacteria in two consecutive samples was the experiment's endpoint. Results: During 4 FTCs there were no changes in plasma urea concentrations. Glucose was stable in EDTA+4˚C and NaF- 20˚C until the 3rd FTC (P=0.008, P=0.042, respectively). Changes in protein concentrations followed the zig-zag pattern. TG concentrations changed significantly in the EDTA-20˚C sample after 1st and 4th FTCs (P=0.022, P=0.010, respectively). In NaF samples no contamination was observed during 4 FTCs. Conclusions: Urea and glucose concentrations were robust. Changes in lipid and protein concentrations after FTCs follow complex patterns. Bacterial growth was not observed in NaF plasma samples. This can promote NaF use in analytical procedures in which microbiological contamination affects the quality of analysis.
{"title":"The influence of various sample storage conditions and sample microbial contamination on concentrations of routine biochemical parameters","authors":"T. Gojković, S. Vladimirov, T. Antonić, N. Bogavac-Stanojević, Katarina Novovic, V. Spasojević-Kalimanovska, B. Filipić","doi":"10.5937/jomb0-40360","DOIUrl":"https://doi.org/10.5937/jomb0-40360","url":null,"abstract":"Background: The pre-analytical (PA) phase is the most vulnerable phase of laboratory testing procedure, with critical procedures-collection, handling, sample transport, and time and temperature of sample storage. The aim of this study was to examine if different anticoagulants, storage conditions, and freeze-thaw cycles (FTCs) influence the concentrations of basic biochemical parameters. In parallel, the presence and the effect of sample microbiological contamination during routine laboratory work were examined. Methods: Two plasma pools (EDTA, and sodium-fluoride/potassium oxalate plasma (NaF)) were stored at +4C˚/-20˚C. Total cholesterol (TC), glucose, triglycerides (TG), urea, total protein (TP), and albumin concentrations were measured using Ilab 300+. Sample microbiological contamination was determined by 16S rRNA sequence analysis. The experiment encompassed a 5 day-period: Day 1–fresh sample, Day 2–1st FTC, Day 3–2nd FTC, Day 4–3rd FTC, Day 5–4th FTC. The appearance of bacteria in two consecutive samples was the experiment's endpoint. Results: During 4 FTCs there were no changes in plasma urea concentrations. Glucose was stable in EDTA+4˚C and NaF- 20˚C until the 3rd FTC (P=0.008, P=0.042, respectively). Changes in protein concentrations followed the zig-zag pattern. TG concentrations changed significantly in the EDTA-20˚C sample after 1st and 4th FTCs (P=0.022, P=0.010, respectively). In NaF samples no contamination was observed during 4 FTCs. Conclusions: Urea and glucose concentrations were robust. Changes in lipid and protein concentrations after FTCs follow complex patterns. Bacterial growth was not observed in NaF plasma samples. This can promote NaF use in analytical procedures in which microbiological contamination affects the quality of analysis.","PeriodicalId":16175,"journal":{"name":"Journal of Medical Biochemistry","volume":"9 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139159695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qin Hu, Yu Mao, Haomiao Lan, Yi Wei, Yuehua Chen, Qiang Ye, Hongying Che
Background: The purpose of this study was to investigate the potential of plasma cfDNA methylation patterns in reflecting tumor methylation changes, focusing on three candidate sites, cg02469161, cg11528914, and cg20131654. These sites were selected for verification, with a particular emphasis on their association with breast cancer. Methods: We conducted a comprehensive analysis of 850k whole-methylation sequencing data to identify potential markers for breast cancer detection. Subsequently, we examined the methylation status of genes RANBP3, LCP2, and GRAP2, where the aforementioned sites are located, using cancer and cancer-adjacent tissues from 17 breast cancer patients. We also assessed the methylation patterns in different molecular subtypes and pathological grades of breast cancer. Additionally, we compared the methylation levels of these genes in plasma cfDNA to their performance in tissues. Results: Our analysis revealed that RANBP3, LCP2, and GRAP2 genes exhibited significant methylation differences between cancer and cancer-adjacent tissues. In breast cancer, these genes displayed diagnostic efficiencies of 91.0%, 90.6%, and 92.2%, respectively. Notably, RANBP3 showed a tendency towards lower methylation in HR+ breast cancer, and LCP2 methylation was correlated with tumor malignancy. Importantly, the methylation levels of these three genes in plasma cfDNA closely mirrored their tissue counterparts, with diagnostic efficiencies of 83.3%, 83.9%, and 77.6% for RANBP3, LCP2, and GRAP2, respectively. Conclusions: Our findings suggest that RANBP3, LCP2, and GRAP2 genes, located at the identified methylation sites, can serve as valuable blood molecular markers for the auxiliary diagnosis of breast cancer. This research provides a foundation for further exploration of gene methylation pattern changes in cfDNA for the detection of breast cancer and other cancer types.
{"title":"Value of altered methylation patterns of genes RANBP3, LCP2 and GRAP2 in cfDNA in breast cancer diagnosis","authors":"Qin Hu, Yu Mao, Haomiao Lan, Yi Wei, Yuehua Chen, Qiang Ye, Hongying Che","doi":"10.5937/jomb0-47507","DOIUrl":"https://doi.org/10.5937/jomb0-47507","url":null,"abstract":"Background: The purpose of this study was to investigate the potential of plasma cfDNA methylation patterns in reflecting tumor methylation changes, focusing on three candidate sites, cg02469161, cg11528914, and cg20131654. These sites were selected for verification, with a particular emphasis on their association with breast cancer. \u0000Methods: We conducted a comprehensive analysis of 850k whole-methylation sequencing data to identify potential markers for breast cancer detection. Subsequently, we examined the methylation status of genes RANBP3, LCP2, and GRAP2, where the aforementioned sites are located, using cancer and cancer-adjacent tissues from 17 breast cancer patients. We also assessed the methylation patterns in different molecular subtypes and pathological grades of breast cancer. Additionally, we compared the methylation levels of these genes in plasma cfDNA to their performance in tissues. \u0000Results: Our analysis revealed that RANBP3, LCP2, and GRAP2 genes exhibited significant methylation differences between cancer and cancer-adjacent tissues. In breast cancer, these genes displayed diagnostic efficiencies of 91.0%, 90.6%, and 92.2%, respectively. Notably, RANBP3 showed a tendency towards lower methylation in HR+ breast cancer, and LCP2 methylation was correlated with tumor malignancy. Importantly, the methylation levels of these three genes in plasma cfDNA closely mirrored their tissue counterparts, with diagnostic efficiencies of 83.3%, 83.9%, and 77.6% for RANBP3, LCP2, and GRAP2, respectively. \u0000Conclusions: Our findings suggest that RANBP3, LCP2, and GRAP2 genes, located at the identified methylation sites, can serve as valuable blood molecular markers for the auxiliary diagnosis of breast cancer. This research provides a foundation for further exploration of gene methylation pattern changes in cfDNA for the detection of breast cancer and other cancer types.","PeriodicalId":16175,"journal":{"name":"Journal of Medical Biochemistry","volume":"112 2","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138965065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objective:It aims to explore the effect of target task oriented phase training on fibrinogen (Fbg), angiopoietin (Ang-1), vascular endothelial growth factor (VEGF), serum brain derived neurotrophic factor (BDNF) and quality of life in postoperative patients with brain trauma. Methods:142 patients with brain trauma who were operated in neurosurgery of our hospital from March 2020 to March 2023 are chosen and separated into two groups by random number table. The control group (n=71) receive routine postoperative training, and the experimental group (n=71) receive target task oriented training based on the control group, and the serum cell levels of nursing for 3, 7 and 14 days are compared. Improvement of limb function and quality of life after 2, 4, and 6 weeks of nursing care is observed. Results: Before nursing, the comparison in serum factor levels, limb function scores, and quality of life scores between the two groups was with P>0.05; After 3, 7, and 14 days of nursing, the Fbg of the control group was higher than that of the experimental group; The Ang-1, VEGF, and BDNF levels in the experimental group were higher than those in the control group (P<0.05); After 2, 4, and 6 weeks of nursing care, the FMA scores of the upper and lower limbs in the control group were lower than those in the experimental group, with P<0.05; The scores in the physiological, environmental, psychological, and social fields of thecontrol group were lower than those of the experimental group, with P<0.05. Conclusion: The application of target task oriented phase training in patients with brain trauma after surgery can help promote the serum levels of Fbg, Ang-1, VEGF, and BDNF, improve limb function, and enhance quality of life.
{"title":"the The Improvement of Fbg, Ang-1, VEGF, BDNF in Postoperative Patients with Brain Trauma Through Target Task Oriented Phrase Training","authors":"Bo Liu","doi":"10.5937/jomb0-45490","DOIUrl":"https://doi.org/10.5937/jomb0-45490","url":null,"abstract":"Objective:It aims to explore the effect of target task oriented phase training on fibrinogen (Fbg), angiopoietin (Ang-1), vascular endothelial growth factor (VEGF), serum brain derived neurotrophic factor (BDNF) and quality of life in postoperative patients with brain trauma. Methods:142 patients with brain trauma who were operated in neurosurgery of our hospital from March 2020 to March 2023 are chosen and separated into two groups by random number table. The control group (n=71) receive routine postoperative training, and the experimental group (n=71) receive target task oriented training based on the control group, and the serum cell levels of nursing for 3, 7 and 14 days are compared. Improvement of limb function and quality of life after 2, 4, and 6 weeks of nursing care is observed. Results: Before nursing, the comparison in serum factor levels, limb function scores, and quality of life scores between the two groups was with P>0.05; After 3, 7, and 14 days of nursing, the Fbg of the control group was higher than that of the experimental group; The Ang-1, VEGF, and BDNF levels in the experimental group were higher than those in the control group (P<0.05); After 2, 4, and 6 weeks of nursing care, the FMA scores of the upper and lower limbs in the control group were lower than those in the experimental group, with P<0.05; The scores in the physiological, environmental, psychological, and social fields of thecontrol group were lower than those of the experimental group, with P<0.05. Conclusion: The application of target task oriented phase training in patients with brain trauma after surgery can help promote the serum levels of Fbg, Ang-1, VEGF, and BDNF, improve limb function, and enhance quality of life.","PeriodicalId":16175,"journal":{"name":"Journal of Medical Biochemistry","volume":"45 ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139175351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose: The aim of this study was to figure out the predictive value of inflammatory-linked factors on the efficacy of dexamethasone adjuvant therapy for refractory suppurative meningitis in children. Methods: Using regression analysis method, 38 children with refractory purulent meningitis, 40 children with purulent meningitis, and 40 healthy children who came to Qingtian County People's Hospital of Lishui City for physical examination during the same period were selected as the research objects, and assigned into the experimental, the control and the healthy groups. The inflammation-linked factors in the three groups were compared, and multivariate Logisitic regression was applied to analyze the predictive indicators and predictive efficacy of dexamethasone treatment in children with refractory suppurative meningitis. Results: CRP, TNF-α, IL-6, PCT and IL-1β were higher in the study group vs. the control and the healthy, and in the control vs. the healthy (P < 0.05). Multivariate Logisitic regression analysis clarified the predictors of the efficacy of dexamethasone treatment in children with refractory suppurative meningitis were CRP, TNF-α, IL-6, PCT, and IL-1β, which all had good predictive performance, and among which CRP and IL-1β had better predictive performance. Conclusion: Inflammatory-linked factors have a certain predictive value for the efficacy of dexamethasone adjuvant therapy for refractory suppurative meningitis in children.
{"title":"Predictive value of inflammatory-related factors on the efficacy of adjuvant dexamethasone in the treatment of children with refractory suppurative meningitis","authors":"Kang Xu, XiaoMei Zhong, QingJun Niu","doi":"10.5937/jomb0-37618","DOIUrl":"https://doi.org/10.5937/jomb0-37618","url":null,"abstract":"Purpose: The aim of this study was to figure out the predictive value of inflammatory-linked factors on the efficacy of dexamethasone adjuvant therapy for refractory suppurative meningitis in children. Methods: Using regression analysis method, 38 children with refractory purulent meningitis, 40 children with purulent meningitis, and 40 healthy children who came to Qingtian County People's Hospital of Lishui City for physical examination during the same period were selected as the research objects, and assigned into the experimental, the control and the healthy groups. The inflammation-linked factors in the three groups were compared, and multivariate Logisitic regression was applied to analyze the predictive indicators and predictive efficacy of dexamethasone treatment in children with refractory suppurative meningitis. Results: CRP, TNF-α, IL-6, PCT and IL-1β were higher in the study group vs. the control and the healthy, and in the control vs. the healthy (P < 0.05). Multivariate Logisitic regression analysis clarified the predictors of the efficacy of dexamethasone treatment in children with refractory suppurative meningitis were CRP, TNF-α, IL-6, PCT, and IL-1β, which all had good predictive performance, and among which CRP and IL-1β had better predictive performance. Conclusion: Inflammatory-linked factors have a certain predictive value for the efficacy of dexamethasone adjuvant therapy for refractory suppurative meningitis in children.","PeriodicalId":16175,"journal":{"name":"Journal of Medical Biochemistry","volume":"183 ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139174281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nikola Mladenovic, Ranok Zdravkovic, Lazar Velicki, Vanja Drljevic Todic, M. Todić, S. Maletin, Aleksandra Mladenovic, Nemanja Petrovic, Bogdan R Okiljevic, Valentina Nikolić, Milan Pavlovic, Dane Krtinic, Aleksandar Nikolic, Marko Gmijovic, Aleksandar Kamenov
Uvod: Postoperativna atrijalna fibrilacije (POAF) je učestala komplikacija nakon kardiohirurških procedura. Povezana je sa produženim hospitalnim lečenjem, povećanim morbiditetom, stopom mortaliteta i finansiskim troškovima. Cilj rada je bio da se utvrdi povezanost nivoa Galektina-3 i N-terminalnog pro-B-tipa natriuretskog peptida (NT-proBNP) sa POAF nakon kardiohirurške operacije. Pacijenti i metode: Prospektivna studija obuhvata bolesnike starosti od 18-85 godina, hospitalizovanih radi elektivne operacije aorto koronarnog bajpasa (CABG) ili CABG sa zamenom aortnog zaliska. Nivoi Galektina-3 i NT-proBNP iz krvi mereni su preoperativno i postoperativnog 1. i 7. dana. Rezultati: U istraživanju je uključeno 103 bolesnika. PAOF je zabeležena kod 45 bolesnika. Prosečna starost bolesnika kod kojih je registrovan POAF bila je 68,8 godina, dok je kod ostalih bila 65,5 godina (n=0,028). Nivoi Galektina-3 i NT-proBNP nisu se razlikovali kod bolesnika koji su razvili POAF, a ni kod onih kojima nije registrovana POAF u sva tri merenja. Promene nivoa Galektin-3 prvog postoperativnog dana imaju statistički značajnu vrednost za predviđanje POAF (AUC=0.627 [0.509-0.745], p<0.05). Smanjenje nivoa Galektina-3 prvog postoperativnog dana za preko 17% dovodi do povećanog rizika od razvoj POAF . Zaključak: Preoperativne vrednosti Galektina-3 i NT-proBNP nisu povezani sa razvojem POAF nakon kardiohirurške intervencije. Jedina povezanost koju smo zabeležili je da smanjene vrednosti Galektina-3 prvog postoperativnog dana za preko 17% mogu biti prediktor za POAF.
{"title":"Značaj Galaktina-3 i N-terminalnog pro B-tipa natruretskog peptida u predviđanju atrijalne fibrilacije nakon kardiohirurške procedure","authors":"Nikola Mladenovic, Ranok Zdravkovic, Lazar Velicki, Vanja Drljevic Todic, M. Todić, S. Maletin, Aleksandra Mladenovic, Nemanja Petrovic, Bogdan R Okiljevic, Valentina Nikolić, Milan Pavlovic, Dane Krtinic, Aleksandar Nikolic, Marko Gmijovic, Aleksandar Kamenov","doi":"10.5937/jomb0-47001","DOIUrl":"https://doi.org/10.5937/jomb0-47001","url":null,"abstract":"Uvod: Postoperativna atrijalna fibrilacije (POAF) je učestala komplikacija nakon kardiohirurških procedura. Povezana je sa produženim hospitalnim lečenjem, povećanim morbiditetom, stopom mortaliteta i finansiskim troškovima. Cilj rada je bio da se utvrdi povezanost nivoa Galektina-3 i N-terminalnog pro-B-tipa natriuretskog peptida (NT-proBNP) sa POAF nakon kardiohirurške operacije. \u0000Pacijenti i metode: Prospektivna studija obuhvata bolesnike starosti od 18-85 godina, hospitalizovanih radi elektivne operacije aorto koronarnog bajpasa (CABG) ili CABG sa zamenom aortnog zaliska. Nivoi Galektina-3 i NT-proBNP iz krvi mereni su preoperativno i postoperativnog 1. i 7. dana. \u0000Rezultati: U istraživanju je uključeno 103 bolesnika. PAOF je zabeležena kod 45 bolesnika. Prosečna starost bolesnika kod kojih je registrovan POAF bila je 68,8 godina, dok je kod ostalih bila 65,5 godina (n=0,028). Nivoi Galektina-3 i NT-proBNP nisu se razlikovali kod bolesnika koji su razvili POAF, a ni kod onih kojima nije registrovana POAF u sva tri merenja. Promene nivoa Galektin-3 prvog postoperativnog dana imaju statistički značajnu vrednost za predviđanje POAF (AUC=0.627 [0.509-0.745], p<0.05). Smanjenje nivoa Galektina-3 prvog postoperativnog dana za preko 17% dovodi do povećanog rizika od razvoj POAF . \u0000Zaključak: Preoperativne vrednosti Galektina-3 i NT-proBNP nisu povezani sa razvojem POAF nakon kardiohirurške intervencije. Jedina povezanost koju smo zabeležili je da smanjene vrednosti Galektina-3 prvog postoperativnog dana za preko 17% mogu biti prediktor za POAF.","PeriodicalId":16175,"journal":{"name":"Journal of Medical Biochemistry","volume":"36 22","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139008866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Banu Isbilen Basok, Ipek Deveci Kocakoç, Veli Iyilikci, Selena Kantarmaci, M. Fidan
Background: Laboratory professionals aim to provide a reliable laboratory service using public resources efficiently while planning a test’s procurement. This intuitive approach is ineffective, as seen in the COVID-19 pandemic, where the dramatic changes in admissions (e.g. decreased patient admissions) and the purpose of testing (e.g. D-dimer) were experienced. A model based on objective data was developed that predicts the future test consumption of coagulation tests whose consumptions were highly variable during the pandemic. Methods: Between December 2018 and July 2021, monthly consumptions of coagulation tests (PTT, aPTT, D-dimer, fibrinogen), total-, inpatient-, outpatient-, emergency-, non-emergency -admission numbers were collected. The relationship between inputs and outputs was modeled with the external input nonlinear autoregressive artificial neural network (ANN) (NARX) using MATLAB. Monthly test consumptions between January-July 2021 were used to test the models’ prediction power. Results: According to the cointegration analysis, total-, emergency-, and non-emergency admission numbers plus the number of working days per month were included in the model. When aPTT and fibrinogen consumptions were estimated, it was possible to predict the other tests. Fifty months of data were used to predict the next six months, and the NARX prediction was the more robust approach for both tests. Conclusions: The deep learning model gives better results than the intuitive approach in forecasting, even in the pandemic era, and it shows that more effective and efficient planning will be possible if ANN-supported decision mechanisms are used in forecasting tests’ consumptions in the procurement process.
{"title":"Forecasting The Consumptions of Coagulation Tests Using A Deep Learning Model","authors":"Banu Isbilen Basok, Ipek Deveci Kocakoç, Veli Iyilikci, Selena Kantarmaci, M. Fidan","doi":"10.5937/jomb0-40244","DOIUrl":"https://doi.org/10.5937/jomb0-40244","url":null,"abstract":"Background: Laboratory professionals aim to provide a reliable laboratory service using public resources efficiently while planning a test’s procurement. This intuitive approach is ineffective, as seen in the COVID-19 pandemic, where the dramatic changes in admissions (e.g. decreased patient admissions) and the purpose of testing (e.g. D-dimer) were experienced. A model based on objective data was developed that predicts the future test consumption of coagulation tests whose consumptions were highly variable during the pandemic. \u0000Methods: Between December 2018 and July 2021, monthly consumptions of coagulation tests (PTT, aPTT, D-dimer, fibrinogen), total-, inpatient-, outpatient-, emergency-, non-emergency -admission numbers were collected. The relationship between inputs and outputs was modeled with the external input nonlinear autoregressive artificial neural network (ANN) (NARX) using MATLAB. Monthly test consumptions between January-July 2021 were used to test the models’ prediction power. \u0000Results: According to the cointegration analysis, total-, emergency-, and non-emergency admission numbers plus the number of working days per month were included in the model. When aPTT and fibrinogen consumptions were estimated, it was possible to predict the other tests. Fifty months of data were used to predict the next six months, and the NARX prediction was the more robust approach for both tests. \u0000 \u0000Conclusions: The deep learning model gives better results than the intuitive approach in forecasting, even in the pandemic era, and it shows that more effective and efficient planning will be possible if ANN-supported decision mechanisms are used in forecasting tests’ consumptions in the procurement process.","PeriodicalId":16175,"journal":{"name":"Journal of Medical Biochemistry","volume":"74 14","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138600288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objective: To explore the variation of serum carcinoembryonic antigen (CEA), cytokeratin 19 fragment (CYFRA21-1) and squamous cell carcinoma (SCC) antigen in patients with lung cancer (LC) and their diagnostic value with endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA). Methods: Selection of 150 patients with suspected lung malignant lesions as the research objects was to analyze the diagnostic value of serum tumor marker test and EBUS-TBNA joint detection for LC. Results: The AUC of joint examination to diagnose LC and identify pathological types of LC was elevated vs. alone detection of each index. Conclusions: Serum CYFRA21-1, SCC and CEA conjugating with EBUS-TBNA are provided with diagnostic value for LC and identified value for pathological types of LC.
{"title":"Analysis of variation of serum CEA, SCC, CYFRA21-1 in patients with lung cancer and their diagnostic value with EBUS-TBNA","authors":"YanJia Du, Ya Wen, JieYu Huang","doi":"10.5937/jomb0-37083","DOIUrl":"https://doi.org/10.5937/jomb0-37083","url":null,"abstract":"Objective: To explore the variation of serum carcinoembryonic antigen (CEA), cytokeratin 19 fragment (CYFRA21-1) and squamous cell carcinoma (SCC) antigen in patients with lung cancer (LC) and their diagnostic value with endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA). Methods: Selection of 150 patients with suspected lung malignant lesions as the research objects was to analyze the diagnostic value of serum tumor marker test and EBUS-TBNA joint detection for LC. Results: The AUC of joint examination to diagnose LC and identify pathological types of LC was elevated vs. alone detection of each index. Conclusions: Serum CYFRA21-1, SCC and CEA conjugating with EBUS-TBNA are provided with diagnostic value for LC and identified value for pathological types of LC.","PeriodicalId":16175,"journal":{"name":"Journal of Medical Biochemistry","volume":"8 2","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139238066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Ovarian cancer (OC) is a major gynecological malignancy with varying prognosis. The Neutrophil-to-Lymphocyte Ratio (NLR) has been proposed as a potential prognostic biomarker. This study aimed to evaluate the prognostic and clinical value of NLR in OC. Methods: A systematic review and meta-analysis were performed following PRISMA guidelines, including studies that evaluated the association between NLR and survival outcomes in OC patients. Search was performed in PubMed, Embase, Web of Science, and Cochrane Library databases. Quality assessment was done using Newcastle-Ottawa Scale (NOS). Heterogeneity was assessed, and pooled hazard ratios (HRs) were calculated using fixed or random-effects models as appropriate. Results: Twenty studies involving various ethnicities, ages, and sample sizes were included. A high NLR was found to be inversely correlated with overall survival (OS) (HR= 1.21, 95% CI 1.09-1.34, P<0.001) and progression-free survival (PFS) (HR=1.20, 95% CI 1.03-1.38, P<0.001). Stratified analyses showed a stronger association in Asian patients, studies with smaller sample sizes, younger patients, and higher NLR cutoff values. Conclusions: The meta-analysis suggests a significant inverse association between NLR and survival outcomes in OC patients, emphasizing NLR's potential as a simple, cost-effective prognostic biomarker. However, substantial heterogeneity and influence of confounding factors underscore the need for further investigation.
{"title":"The Prognostic and Clinical Value of Neutrophil-to-Lymphocyte Ratio (NLR) in Ovarian Cancer: A Systematic Review and Meta-analysis","authors":"Zihan Zhang, Jinghe Lang","doi":"10.5937/jomb0-46035","DOIUrl":"https://doi.org/10.5937/jomb0-46035","url":null,"abstract":"Background: Ovarian cancer (OC) is a major gynecological malignancy with varying prognosis. The Neutrophil-to-Lymphocyte Ratio (NLR) has been proposed as a potential prognostic biomarker. This study aimed to evaluate the prognostic and clinical value of NLR in OC. Methods: A systematic review and meta-analysis were performed following PRISMA guidelines, including studies that evaluated the association between NLR and survival outcomes in OC patients. Search was performed in PubMed, Embase, Web of Science, and Cochrane Library databases. Quality assessment was done using Newcastle-Ottawa Scale (NOS). Heterogeneity was assessed, and pooled hazard ratios (HRs) were calculated using fixed or random-effects models as appropriate. Results: Twenty studies involving various ethnicities, ages, and sample sizes were included. A high NLR was found to be inversely correlated with overall survival (OS) (HR= 1.21, 95% CI 1.09-1.34, P<0.001) and progression-free survival (PFS) (HR=1.20, 95% CI 1.03-1.38, P<0.001). Stratified analyses showed a stronger association in Asian patients, studies with smaller sample sizes, younger patients, and higher NLR cutoff values. Conclusions: The meta-analysis suggests a significant inverse association between NLR and survival outcomes in OC patients, emphasizing NLR's potential as a simple, cost-effective prognostic biomarker. However, substantial heterogeneity and influence of confounding factors underscore the need for further investigation.","PeriodicalId":16175,"journal":{"name":"Journal of Medical Biochemistry","volume":"24 3","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139262293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: The aim of this study was to explore the association between lactate/albumin ratio and the prognosis of sepsis patients.
Methods: A computerized search was performed in Pubmed, EMbase, Ovid, Medline, and Google Scholar to collate relevant studies. The results were compared using standardized mean differences (SMD)/odds ratio (OR) and 95% confidence intervals (CI). Prospective and retrospective cohort studies were both included in this study.
Results: A total of nine studies involving 3039 participants were included. Pooled analysis revealed that survivors had substantially lower lactate/albumin ratio than non-survivors (SMD=-2.02, 95% CI: -2.76 to -1.28, I2=97.4%). Further, our results also indicated that elevated lactate/albumin ratio is an independent risk factor for mortality (OR=2.16, 95% CI: 1.58 to 2.95, I2=76.2%) and multiple organ dysfunction syndrome (MODS) (OR=3.41, 95% CI: 1.78 to 6.50, I2=0.0%) in septic patients. Moreover, according to the area under curve (AUC) results, the lactate/albumin ratio also presented good discriminatory power to predict mortality (AUC=0.75, 95% CI: 0.68 to 0.84, I2=92.9%) and MODS (AUC=0.78, 95% CI: 0.68 to 0.91, I2=65.1%) in septic patients. Begg's and Egger's test suggested no publication bias in the included studies.
Conclusions: Our results highlighted that the lactate/albumin ratio is an important prognostic factor for MODS and mortality in sepsis patients, having good capabilities in identifying MODS and mortality.
{"title":"Elevated lactate/albumin ratio is associated with poor prognosis in sepsis patients: a systematic review and meta-analysis","authors":"Xian Zhao, Qin Peng, Weiwei Li, Dongmei Hu, Yue Guan, Jingwen Wang","doi":"10.5937/jomb0-42284","DOIUrl":"https://doi.org/10.5937/jomb0-42284","url":null,"abstract":"Background: The aim of this study was to explore the association between lactate/albumin ratio and the prognosis of sepsis patients.
 Methods: A computerized search was performed in Pubmed, EMbase, Ovid, Medline, and Google Scholar to collate relevant studies. The results were compared using standardized mean differences (SMD)/odds ratio (OR) and 95% confidence intervals (CI). Prospective and retrospective cohort studies were both included in this study.
 Results: A total of nine studies involving 3039 participants were included. Pooled analysis revealed that survivors had substantially lower lactate/albumin ratio than non-survivors (SMD=-2.02, 95% CI: -2.76 to -1.28, I2=97.4%). Further, our results also indicated that elevated lactate/albumin ratio is an independent risk factor for mortality (OR=2.16, 95% CI: 1.58 to 2.95, I2=76.2%) and multiple organ dysfunction syndrome (MODS) (OR=3.41, 95% CI: 1.78 to 6.50, I2=0.0%) in septic patients. Moreover, according to the area under curve (AUC) results, the lactate/albumin ratio also presented good discriminatory power to predict mortality (AUC=0.75, 95% CI: 0.68 to 0.84, I2=92.9%) and MODS (AUC=0.78, 95% CI: 0.68 to 0.91, I2=65.1%) in septic patients. Begg's and Egger's test suggested no publication bias in the included studies.
 Conclusions: Our results highlighted that the lactate/albumin ratio is an important prognostic factor for MODS and mortality in sepsis patients, having good capabilities in identifying MODS and mortality.","PeriodicalId":16175,"journal":{"name":"Journal of Medical Biochemistry","volume":"19 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135036668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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