BMC Infectious Diseases最新文献

{"title":"Thyroid involvement in cystic echinococcosis: a systematic review.","authors":"Ali Aledavoud, Mohammad Mohammadi, Ali Ataei, Armita Shahesmaeilinejad, Majid Fasihi Harandi","doi":"10.1186/s12879-024-09778-z","DOIUrl":"https://doi.org/10.1186/s12879-024-09778-z","url":null,"abstract":"<p><strong>Background: </strong>Thyroid Hydatid Cyst (THC), a pathological state induced by the larval form of Echinococcus granulosus, represents a multifaceted clinical entity with nonspecific symptoms, making both diagnosis and treatment intricate. The current understanding of THC's attributes is somewhat limited. To gain a broader perspective on the disease's clinical and epidemiological characteristics, we have systematically reviewed the existing literature.</p><p><strong>Methods: </strong>We performed an extensive review of articles on THC across four key scientific databases: PubMed, Scopus, Web of Science, and Google Scholar. Our study encompassed all patients diagnosed with THC through post-surgical pathology or Fine Needle Aspiration Cytology (FNAC) examinations, extracting clinical, epidemiological, and therapeutic data of THC patients from publications up to October 2023.</p><p><strong>Results: </strong>From 770 articles, 57 met our criteria, detailing 75 THC patients. The gender ratio was 2.36 females per one male. The patients averaged 36.1 years old, with common symptoms including neck mass, hoarseness, shortness of breath, and dysphagia. The left lobe was involved in most patients, and only 21.3% had extrathyroidal involvement. Cysts averaged 36.4 mm in diameter, with cystic nodules being the most frequent imaging finding (91.2%). Serological tests were performed for 42.6% of cases, of which 62.5% were positive. Surgery was undertaken in 71 patients (94.6%).</p><p><strong>Conclusion: </strong>Cystic echinococcosis (CE) of the thyroid should be considered as part of the differential diagnosis in patients with cervicofacial mass, especially in endemic countries. The present study provides reliable data to improve our understanding of the features of the disease for a better diagnosis and management.</p>","PeriodicalId":8981,"journal":{"name":"BMC Infectious Diseases","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11363358/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142104023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Co-detection of respiratory pathogens among ILI patients: characterization of samples collected during the 2018/19 and 2019/20 pre-pandemic seasons.","authors":"Allegra Ferrari, Irene Schiavetti, Matilde Ogliastro, Carola Minet, Raffaella Sibilio, Irene Giberti, Elisabetta Costa, Elvira Massaro, Piero Luigi Lai, Stefano Mosca, Bianca Bruzzone, Andrea Orsi, Donatella Panatto, Giancarlo Icardi","doi":"10.1186/s12879-024-09687-1","DOIUrl":"https://doi.org/10.1186/s12879-024-09687-1","url":null,"abstract":"<p><p>Influenza-like illness (ILI) patients co-detected with respiratory pathogens exhibit poorer health outcomes than those with single infections. To address the paucity of knowledge concerning the incidence of concurrent respiratory pathogens, their relationships, and the clinical differences between patients detected with single and multiple pathogens, we performed an in-depth characterization of the oropharyngeal samples of primary care patients collected in Genoa (Northwest Italy), during winter seasons 2018/19-2019/20.The apriori algorithm was employed to evaluate the incidence of viral, bacterial, and viral-bacterial pairs during the study period. The grade of correlation between pathogens was investigated using the Phi coefficient. Factors associated with viral, bacterial or viral-bacterial co-detection were assessed using logistic regression.The most frequently identified pathogens included influenza A, rhinovirus, Haemophilus influenzae and Streptococcus pneumoniae. The highest correlations were found between bacterial-bacterial and viral-bacterial pairs, such as Haemophilus influenzae-Streptococcus pneumoniae, adenovirus-Haemophilus influenzae, adenovirus-Streptococcus pneumoniae, RSV-A-Bordetella pertussis, and influenza B Victoria-Bordetella parapertussis. Viruses were detected together at significantly lower rates. Notably, rhinovirus, influenza, and RSV exhibited significant negative correlations with each other. Co-detection was more prevalent in children aged < 4, and cough was shown to be a reliable indicator of viral co-detection.Given the evolving epidemiological landscape following the COVID-19 pandemic, future research utilizing the methodology described here, while considering the circulation of SARS-CoV-2, could further enrich the understanding of concurrent respiratory pathogens.</p>","PeriodicalId":8981,"journal":{"name":"BMC Infectious Diseases","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11361097/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142103957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MARVEL-minimising the emergence and dissemination of HIV-1 drug resistance in Portuguese-speaking African Countries (PALOP): low-cost portable NGS platform for HIV-1 surveillance in Africa.","authors":"Cruz S Sebastião, Marta Pingarilho, Jamila Bathy, Elizângela Bonfim, Katia Toancha, Mafalda N S Miranda, M Rosário O Martins, Perpetua Gomes, Lazismino Lázaro, Isabel Pina-Araujo, Tacilta Nhampossa, Silvania Leal, Ana B Abecasis, Victor Pimentel","doi":"10.1186/s12879-024-09803-1","DOIUrl":"https://doi.org/10.1186/s12879-024-09803-1","url":null,"abstract":"<p><strong>Background: </strong>HIV-1 infections remain a global public health concern. Scaled-up antiretroviral treatment (ART) is crucial for reducing morbidity and mortality related to HIV/AIDS. The emergence of drug-resistance mutations (DRMs) compromises viral suppression and contributes to the continued HIV-1 transmission. Several reports indicate a recent increase in acquired (ADR) and transmitted (TDR) drug resistance in Africa, probably linked to the lack of implementation of HIV drug resistance (HIVDR) testing and suboptimal treatment adherence. Herein, we will develop a low-cost protocol using third-generation sequencing (Oxford Nanopore Technology) for HIV-1 surveillance in Portuguese-speaking African Countries - PALOP [Angola (AO), Cape Verde (CV), Mozambique (MZ), and Sao Tome & Principe (STP)].</p><p><strong>Methods: </strong>This is a multicentric cross-sectional study that includes around 600 adult patients newly diagnosed with HIV-1 in the PALOP. An epidemiological questionnaire previously validated by our research team will be used to collect sociodemographic and clinical data. Also, whole blood samples will be collected and the plasma samples will be subjected to drug resistance testing using an in-house low-cost NGS protocol. Data analysis will involve bioinformatics, biostatistics and machine learning techniques to generate accurate and up-to-date information about HIV-1 genetic diversity, ADR and TDR.</p><p><strong>Discussion: </strong>The implementation of this low-cost NGS platform for HIV-1 surveillance in the PALOP will allow: (i) to increase DRM surveillance capacity in resource-limited settings; (ii) to understand the pattern and determinants of dissemination of resistant HIV-1 strains; and (iii) to promote the development of technical and scientific skills of African researchers for genomic surveillance of viral pathogens and bioinformatics analysis. These objectives will contribute to reinforcing the capacity to combat HIV infection in Africa by optimizing the selection of ART regimens, improving viral suppression, and reducing ADR or TDR prevalence in PALOPs, with relevant implications for public health.</p>","PeriodicalId":8981,"journal":{"name":"BMC Infectious Diseases","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11360575/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142103962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The causal relationship model of factors influencing COVID-19 preventive behaviors during the post-pandemic era and implications for health prevention strategies: a case of Bangkok City, Thailand.","authors":"Piyapong Janmaimool, Jaruwan Chontanawat, Siriphan Nunsunanon, Surapong Chudech","doi":"10.1186/s12879-024-09818-8","DOIUrl":"https://doi.org/10.1186/s12879-024-09818-8","url":null,"abstract":"<p><strong>Background: </strong>Though, many countries are currently in the COVID post-pandemic era, people's health protective behaviours are still essential to protect their health and well-being. This study aims to evaluate people's understanding and perceptions of COVID-19 risk characteristics (i.e. threat occurrence, threat severity, perceived susceptibility and exposure), the health risk perception towards COVID-19, and health protective behaviours. The study also aims to estimate the associations among these factors by the analysis of structural equation modelling (SEM).</p><p><strong>Methods: </strong>From 15 October to 9 November 2022, questionnaire surveys were administrated to 521 people living in Bangkok of Thailand by using the convenience sampling technique. The analyses were carried out in three phases including descriptive statistical analyses, a measurement model assessment using a confirmatory factor analysis (CFA), and structural equation modelling (SEM) analysis.</p><p><strong>Results: </strong>The results of descriptive analyses demonstrated that the majority of respondents, 39.9%, had the age between 20 and 30 years old, and 61.4% of them were female. Approximately 52.1% of them had a bachelor's degree. Upon analysing individuals' understanding and perceptions of all risk characteristics, individuals' understanding of COVID-19 severity did not statistically affect health risk perception towards COVID-19, whereas perceived exposure had the strongest effect and in turn influenced health protective behaviours. Perceived susceptibility and understanding of the threat occurrence also significantly affected health risk perception, and indirectly affected health protective behaviours.</p><p><strong>Conclusions: </strong>This study implies that though the potential health impact of COVID-19 is perceived as less severe, people can still construct a perception of its risk particularly based on their perceived exposure and susceptibility. Thus, communicating people about exposure conditions and susceptibility can greatly contribute to people' construction of risk perception towards COVID-19 which subsequently leads to the decision to perform health protective behaviours.</p>","PeriodicalId":8981,"journal":{"name":"BMC Infectious Diseases","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11363689/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142104022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Low platelet to high-density lipoprotein ratio predicts poor short-term prognosis in hepatitis B-related acute-on-chronic liver failure.","authors":"Linxiang Liu, Chenkai Huang, Yuan Nie, Yue Zhang, Juanjuan Zhou, Xuan Zhu","doi":"10.1186/s12879-024-09769-0","DOIUrl":"https://doi.org/10.1186/s12879-024-09769-0","url":null,"abstract":"<p><strong>Background: </strong>Acute-on-chronic liver failure (ACLF) is characterized by a systemic inflammatory response, predominantly associated with hepatitis B virus in the Asia-Pacific region, with a high short-term mortality rate. The platelet to high-density lipoprotein ratio (PHR) has been used to predict the prognosis of patients with various inflammatory diseases. We aim to is to use the PHR to predict the short-term prognosis of patients with HBV-ACLF.</p><p><strong>Method: </strong>In this study, we retrospectively analyzed clinical data from 270 HBV-ACLF patients. Using logistic regression, we identified independent risk factors for short-term mortality and developed a prognostic model. This model was then validated, compared, and its clinical utility assessed via decision curve analysis (DCA).</p><p><strong>Results: </strong>Among the 270 HBV-ACLF patients, 98 patients died within 28 days. The deceased group exhibited a higher proportion of severe hepatic encephalopathy and ascites. Additionally, there was a statistically significant difference (P = 0.046) in the novel inflammation scoring system, PHR, between the two groups. Following stringent variable selection, PHR was identified as a predictive factor for short-term mortality in HBV-ACLF patients using logistic regression analysis (OR: 0.835 (0.756-0.999), P = 0.009), and it exhibited a synergistic effect with certain traditional scores. The prognostic model constructed based on PHR demonstrated a superior ability to predict short-term mortality compared to traditional scores such as Child-Turcotte-Pugh (AUC: 0.889). Evaluation using calibration curves and decision curve analysis (DCA) suggested its practical utility.</p><p><strong>Conclusion: </strong>PHR can predict short-term mortality in patients, with a low PHR upon admission being associated with an increased risk of death.</p>","PeriodicalId":8981,"journal":{"name":"BMC Infectious Diseases","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11363422/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142103961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"TgVax452, an epitope-based candidate vaccine targeting Toxoplasma gondii tachyzoite-specific SAG1-related sequence (SRS) proteins: immunoinformatics, structural simulations and experimental evidence-based approaches.","authors":"Hamidreza Majidiani, Mohammad M Pourseif, Bahareh Kordi, Mohammad-Reza Sadeghi, Alireza Najafi","doi":"10.1186/s12879-024-09807-x","DOIUrl":"https://doi.org/10.1186/s12879-024-09807-x","url":null,"abstract":"<p><strong>Background: </strong>The highly expressed surface antigen 1 (SAG1)-related sequence (SRS) proteins of T. gondii tachyzoites, as a widespread zoonotic parasite, are critical for host cell invasion and represent promising vaccine targets. In this study, we employed a computer-aided multi-method approach for in silico design and evaluation of TgVax452, an epitope-based candidate vaccine against T. gondii tachyzoite-specific SRS proteins.</p><p><strong>Methods: </strong>Using immunoinformatics web-based tools, structural modeling, and static/dynamic molecular simulations, we identified and screened B- and T-cell immunodominant epitopes and predicted TgVax452's antigenicity, stability, safety, adjuvanticity, and physico-chemical properties.</p><p><strong>Results: </strong>The designed protein possessed 452 residues, a MW of 44.07 kDa, an alkaline pI (6.7), good stability (33.20), solubility (0.498), and antigenicity (0.9639) with no allergenicity. Comprehensive molecular dynamic (MD) simulation analyses confirmed the stable interaction (average potential energy: 3.3799 × 10⁶ KJ/mol) between the TLR4 agonist residues (RS09 peptide) of the TgVax452 in interaction with human TLR4, potentially activating innate immune responses. Also, a dramatic increase was observed in specific antibodies (IgM and IgG), cytokines (IFN-γ), and lymphocyte responses, based on C-ImmSim outputs. Finally, we optimized TgVax452's codon adaptation and mRNA secondary structure for efficient expression in E. coli BL21 expression machinery.</p><p><strong>Conclusion: </strong>Our findings suggest that TgVax452 is a promising candidate vaccine against T. gondii tachyzoite-specific SRS proteins and requires further experimental studies for its potential use in preclinical trials.</p>","PeriodicalId":8981,"journal":{"name":"BMC Infectious Diseases","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11361240/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142104021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A model-based assessment of social isolation practices for COVID-19 outbreak response in residential care facilities.","authors":"Cameron Zachreson, Ruarai Tobin, Camelia Walker, Eamon Conway, Freya M Shearer, Jodie McVernon, Nicholas Geard","doi":"10.1186/s12879-024-09788-x","DOIUrl":"https://doi.org/10.1186/s12879-024-09788-x","url":null,"abstract":"<p><strong>Background: </strong>Residential aged-care facilities (RACFs, also called long-term care facilities, aged care homes, or nursing homes) have elevated risks of respiratory infection outbreaks and associated disease burden. During the COVID-19 pandemic, social isolation policies were commonly used in these facilities to prevent and mitigate outbreaks. We refer specifically to general isolation policies that were intended to reduce contact between residents, without regard to confirmed infection status. Such policies are controversial because of their association with adverse mental and physical health indicators and there is a lack of modelling that assesses their effectiveness.</p><p><strong>Methods: </strong>In consultation with the Australian Government Department of Health and Aged Care, we developed an agent-based model of COVID-19 transmission in a structured population, intended to represent the salient characteristics of a residential care environment. Using our model, we generated stochastic ensembles of simulated outbreaks and compared summary statistics of outbreaks simulated under different mitigation conditions. Our study focuses on the marginal impact of general isolation (reducing social contact between residents), regardless of confirmed infection. For a realistic assessment, our model included other generic interventions consistent with the Australian Government's recommendations released during the COVID-19 pandemic: isolation of confirmed resident cases, furlough (mandatory paid leave) of staff members with confirmed infection, and deployment of personal protective equipment (PPE) after outbreak declaration.</p><p><strong>Results: </strong>In the absence of any asymptomatic screening, general isolation of residents to their rooms reduced median cumulative cases by approximately 27%. However, when conducted concurrently with asymptomatic screening and isolation of confirmed cases, general isolation reduced the median number of cumulative infections by only 12% in our simulations.</p><p><strong>Conclusions: </strong>Under realistic sets of assumptions, our simulations showed that general isolation of residents did not provide substantial benefits beyond those achieved through screening, isolation of confirmed cases, and deployment of PPE. Our results also highlight the importance of effective case isolation, and indicate that asymptomatic screening of residents and staff may be warranted, especially if importation risk from the outside community is high. Our conclusions are sensitive to assumptions about the proportion of total contacts in a facility accounted for by casual interactions between residents.</p>","PeriodicalId":8981,"journal":{"name":"BMC Infectious Diseases","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11360480/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142103942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study on the impact of meteorological factors on influenza in different periods and prediction based on artificial intelligence RF-Bi-LSTM algorithm: to compare the COVID-19 period with the non-COVID-19 period.","authors":"Hansong Zhu, Si Chen, Weixia Qin, Joldosh Aynur, Yuyan Chen, Xiaoying Wang, Kaizhi Chen, Zhonghang Xie, Lingfang Li, Yu Liu, Guangmin Chen, Jianming Ou, Kuicheng Zheng","doi":"10.1186/s12879-024-09750-x","DOIUrl":"10.1186/s12879-024-09750-x","url":null,"abstract":"<p><strong>Objective: </strong>At different times, public health faces various challenges and the degree of intervention measures varies. The research on the impact and prediction of meteorology factors on influenza is increasing gradually, however, there is currently no evidence on whether its research results are affected by different periods. This study aims to provide limited evidence to reveal this issue.</p><p><strong>Methods: </strong>Daily data on influencing factors and influenza in Xiamen were divided into three parts: overall period (phase AB), non-COVID-19 epidemic period (phase A), and COVID-19 epidemic period (phase B). The association between influencing factors and influenza was analysed using generalized additive models (GAMs). The excess risk (ER) was used to represent the percentage change in influenza as the interquartile interval (IQR) of meteorology factors increases. The 7-day average daily influenza cases were predicted using the combination of bi-directional long short memory (Bi-LSTM) and random forest (RF) through multi-step rolling input of the daily multifactor values of the previous 7-day.</p><p><strong>Results: </strong>In periods A and AB, air temperature below 22 °C was a risk factor for influenza. However, in phase B, temperature showed a U-shaped effect on it. Relative humidity had a more significant cumulative effect on influenza in phase AB than in phase A (peak: accumulate 14d, AB: ER = 281.54, 95% CI = 245.47 ~ 321.37; A: ER = 120.48, 95% CI = 100.37 ~ 142.60). Compared to other age groups, children aged 4-12 were more affected by pressure, precipitation, sunshine, and day light, while those aged ≥ 13 were more affected by the accumulation of humidity over multiple days. The accuracy of predicting influenza was highest in phase A and lowest in phase B.</p><p><strong>Conclusions: </strong>The varying degrees of intervention measures adopted during different phases led to significant differences in the impact of meteorology factors on influenza and in the influenza prediction. In association studies of respiratory infectious diseases, especially influenza, and environmental factors, it is advisable to exclude periods with more external interventions to reduce interference with environmental factors and influenza related research, or to refine the model to accommodate the alterations brought about by intervention measures. In addition, the RF-Bi-LSTM model has good predictive performance for influenza.</p>","PeriodicalId":8981,"journal":{"name":"BMC Infectious Diseases","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11360838/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142092148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reverse vaccinology approaches to design a potent multiepitope vaccine against the HIV whole genome: immunoinformatic, bioinformatics, and molecular dynamics approaches.","authors":"Ava Hashempour, Nastaran Khodadad, Shokufeh Akbarinia, Farzane Ghasabi, Younes Ghasemi, Mohamad Matin Karbalaei Ali Nazar, Shahab Falahi","doi":"10.1186/s12879-024-09775-2","DOIUrl":"10.1186/s12879-024-09775-2","url":null,"abstract":"<p><p>Substantial advances have been made in the development of promising HIV vaccines to eliminate HIV-1 infection. For the first time, one hundred of the most submitted HIV subtypes and CRFs were retrieved from the LANL database, and the consensus sequences of the eleven HIV proteins were obtained to design vaccines for human and mouse hosts. By using various servers and filters, highly qualified B-cell epitopes, as well as HTL and CD8 + epitopes that were common between mouse and human alleles and were also located in the conserved domains of HIV proteins, were considered in the vaccine constructs. With 90% coverage worldwide, the human vaccine model covers a diverse allelic population, making it widely available. Codon optimization and in silico cloning in prokaryotic and eukaryotic vectors guarantee high expression of the vaccine models in human and E. coli hosts. Molecular dynamics confirmed the stable interaction of the vaccine constructs with TLR3, TLR4, and TLR9, leading to a substantial immunogenic response to the designed vaccine. Vaccine models effectively target the humoral and cellular immune systems in humans and mice; however, experimental validation is needed to confirm these findings in silico.</p>","PeriodicalId":8981,"journal":{"name":"BMC Infectious Diseases","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11360854/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142092147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting hospitalization costs for pulmonary tuberculosis patients based on machine learning.","authors":"Shiyu Fan, Abudoukeyoumujiang Abulizi, Yi You, Chencui Huang, Yasen Yimit, Qiange Li, Xiaoguang Zou, Mayidili Nijiati","doi":"10.1186/s12879-024-09771-6","DOIUrl":"10.1186/s12879-024-09771-6","url":null,"abstract":"<p><strong>Background: </strong>Pulmonary tuberculosis (PTB) is a prevalent chronic disease associated with a significant economic burden on patients. Using machine learning to predict hospitalization costs can allocate medical resources effectively and optimize the cost structure rationally, so as to control the hospitalization costs of patients better.</p><p><strong>Methods: </strong>This research analyzed data (2020-2022) from a Kashgar pulmonary hospital's information system, involving 9570 eligible PTB patients. SPSS 26.0 was used for multiple regression analysis, while Python 3.7 was used for random forest regression (RFR) and MLP. The training set included data from 2020 and 2021, while the test set included data from 2022. The models predicted seven various costs related to PTB patients, including diagnostic cost, medical service cost, material cost, treatment cost, drug cost, other cost, and total hospitalization cost. The model's predictive performance was evaluated using R-square (R²), Root Mean Squared Error (RMSE), and Mean Absolute Error (MAE) metrics.</p><p><strong>Results: </strong>Among the 9570 PTB patients included in the study, the median and quartile of total hospitalization cost were 13,150.45 (9891.34, 19,648.48) yuan. Nine factors, including age, marital status, admission condition, length of hospital stay, initial treatment, presence of other diseases, transfer, drug resistance, and admission department, significantly influenced hospitalization costs for PTB patients. Overall, MLP demonstrated superior performance in most cost predictions, outperforming RFR and multiple regression; The performance of RFR is between MLP and multiple regression; The predictive performance of multiple regression is the lowest, but it shows the best results for Other costs.</p><p><strong>Conclusion: </strong>The MLP can effectively leverage patient information and accurately predict various hospitalization costs, achieving a rationalized structure of hospitalization costs by adjusting higher-cost inpatient items and balancing different cost categories. The insights of this predictive model also hold relevance for research in other medical conditions.</p>","PeriodicalId":8981,"journal":{"name":"BMC Infectious Diseases","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11360310/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142092145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}