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Journal of intensive care 13(1) 15-15 2025年3月14日The 2024 revised edition of the Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock (J-SSCG 2024) is published by the Japanese Society of Intensive Care Medicine and the Japanese Association for Acute Medicine. This is the fourth revision since the first edition was published in 2012. The purpose of the guidelines is to assist healthcare providers in making appropriate decisions in the treatment of sepsis and septic shock, leading to improved patient outcomes. We aimed to create guidelines that are easy to understand and use for physicians who recognize sepsis and provide initial management, specialized physicians who take over the treatment, and multidisciplinary healthcare providers, including nurses, physical therapists, clinical engineers, and pharmacists. The J-SSCG 2024 covers the following nine areas: diagnosis of sepsis and source control, antimicrobial therapy, initial resuscitation, blood purification, disseminated intravascular coagulation, adjunctive therapy, post-intensive care syndrome, patient and family care, and pediatrics. In these areas, we extracted 78 important clinical issues. The GRADE (Grading of Recommendations Assessment, Development and Evaluation) method was adopted for making recommendations, and the modified Delphi method was used to determine recommendations by voting from all committee members. As a result, 42 GRADE-based recommendations, 7 good practice statements, and 22 information-to-background questions were created as responses to clinical questions. We also described 12 future research questions.
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JMIR medical informatics 13 e64682 2025年3月12日This study demonstrated that while GPT-4 Turbo had superior specificity when compared to GPT-3.5 Turbo (0.98 vs 0.51), as well as comparable sensitivity (0.85 vs 0.83), GPT-3.5 Turbo processed 100 studies faster (0.9 min vs 1.6 min) in citation screening for systematic reviews, suggesting that GPT-4 Turbo may be more suitable due to its higher specificity and highlighting the potential of large language models in optimizing literature selection.
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Journal of Intensive Care 13(1) 2025年2月20日Abstract Background Lipoproteins and their component apolipoproteins play an important role in sepsis. However, little is known with regard to the association and causal contribution of these proteins to mortality in patients of different ancestries following septic shock. The objective of this study was to determine whether lipoprotein and apolipoprotein levels, and related genetic variants, are associated with clinical outcomes in septic shock. Methods We investigated the association between lipoprotein and apolipoprotein levels at the point of admission to the intensive care unit and in-hospital mortality in 687 Japan patients diagnosed with septic shock. For each clinically significant candidate protein, we extracted haplotype tag single nucleotide polymorphisms (SNPs) of the corresponding gene and examined the association of the candidate gene variants with 28-day mortality and organ dysfunction. We tested for replication in a Caucasian septic shock cohort (Vasopressin and Septic Shock Trial, VASST, n = 474). To determine whether the candidate lipoprotein causally contributed to septic shock outcome, we used a Mendelian randomization analysis based on polygenic scores generated from a genome-wide association study (GWAS) in the Japan cohort. Results In the Japan cohort, low apolipoprotein A-II levels were associated with increased septic shock mortality (adjusted odds ratio, 1.05; 95%CI, 1.02–1.09; P < 0.001). For a haplotype tag SNP of the corresponding ApoA2 gene, rs6413453 GG carriers had significantly higher 28-day mortality (adjusted hazard ratio [aHR], 1.79; 95% confidence interval [CI], 1.06–3.04; P = 0.029) and significantly fewer days free of cardiovascular, respiratory, renal and neurologic dysfunction than AG/AA carriers. This result was replicated in the Caucasian septic shock cohort (28-day mortality: aHR, 1.65; 95% CI, 1.02–2.68; P = 0.041). Mendelian randomization using 9 SNPs from an apolipoprotein A-II GWAS suggested that genetically decreased levels of apolipoprotein A-II were a causal factor for increased mortality in septic shock (odds ratio for mortality due to a 1 mg/dL decrease in apolipoprotein A-II is 1.05 [95% CI; 1.01–1.03, P = 0.0022]). Conclusions In septic shock, apolipoprotein A-II levels and ApoA2 genetic variations are important factors associated with outcome.
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Biomedical Physics & Engineering Express 11(2) 025026-025026 2025年2月6日Abstract Traumatic injury remains a leading cause of death worldwide, with traumatic bleeding being one of its most critical and fatal consequences. The use of whole-body computed tomography (WBCT) in trauma management has rapidly expanded. However, interpreting WBCT images within the limited time available before treatment is particularly challenging for acute care physicians. Our group has previously developed an automated bleeding detection method in WBCT images. However, further reduction of false positives (FPs) is necessary for clinical application. To address this issue, we propose a novel automated detection for traumatic bleeding in CT images using deep learning and multi-organ segmentation; Methods: The proposed method integrates a three-dimensional U-Net# model for bleeding detection with an FP reduction approach based on multi-organ segmentation. The multi-organ segmentation method targets the bone, kidney, and vascular regions, where FPs are primarily found during the bleeding detection process. We evaluated the proposed method using a dataset of delayed-phase contrast-enhanced trauma CT images collected from four institutions; Results: Our method detected 70.0% of bleedings with 76.2 FPs/case. The processing time for our method was 6.3 ± 1.4 min. Compared with our previous ap-proach, the proposed method significantly reduced the number of FPs while maintaining detection sensitivity.
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Artificial organs 2025年1月17日BACKGROUND: The pathogenesis of sepsis is thought to be linked to a dysregulated immune response, particularly that involving neutrophils. We have developed a granulocyte adsorption column as a "decoy organ," which relocates the massive inflammation in organs in the body to a blood purification column. This study was conducted to assess the safety and experimental effectiveness of granulocyte monocyte adsorption apheresis-direct hemoperfusion (G1-DHP) in the treatment of patients with sepsis, using a prospective, multicenter design. METHODS: The study included patients diagnosed with sepsis and with an APACHE II score ranging from 17 to 34. A total of five G1-DHP were performed within 3 days of patient enrollment. The primary endpoint was the change in sequential organ failure assessment (SOFA) score from enrollment to 7 days, and the safety endpoints were adverse events and mortality at 28 days. RESULTS: G1-DHP was performed on 82 patients. The median (interquartile range) SOFA score decreased from 10 (8-11) to 4 (3-7) after 7 days (n = 70; p < 0.01). Granulocytes, mainly neutrophils, were adsorbed, and the neutrophil-to-lymphocyte ratio significantly improved (p < 0.01). Notable improvements were observed in the SOFA scores for circulation and renal function. The acute physiology and chronic health evaluation II score of the 77 patients evaluated for mortality was 27, and the 28-day mortality rate was 7.8%. CONCLUSIONS: This study confirmed that G1-DHP can be safely used as an adjunct to standard sepsis treatment regimens. Although further investigations are required, G1-DHP is a promising supplemental therapy for sepsis. TRIAL REGISTRATION: jRCT1080225183 (Japan Registry of Clinical Trials identifier).
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Journal of intensive care 13(1) 3-3 2025年1月13日BACKGROUND: Interleukin-6 (IL-6) is a cytokine that predicts clinical outcomes in critically ill patients, including those with sepsis. Elderly patients have blunted and easily dysregulated host responses to infection, which may influence IL-6 kinetics and alter the association between IL-6 levels and clinical outcomes. METHODS: This retrospective observational study included patients aged ≥ 16 years who were admitted to the intensive care unit at Chiba University Hospital. The patients were categorized into two groups: non-elderly (< 70 years) and elderly (≥ 70 years). Associations between log-transformed blood IL-6 levels and 28-day in-hospital mortality (primary outcome) and multiple organ dysfunction (MOD) on days 3 and 7 (secondary outcomes) were examined. RESULTS: The non-elderly and elderly groups included 272 and 247 patients, respectively. There were no significant differences in the Sequential Organ Failure Assessment score, components of the APACHE II score (Acute physiology score and Chronic health points), MOD at baseline, or any of the outcome measures between the groups. In the non-elderly group, univariate Cox regression analysis showed a significant association between IL-6 levels and mortality (hazard ratio [HR] 1.71, 95% confidence interval [CI] 1.25-2.37, P < 0.001). This association remained significant after adjusting for sex, body mass index, steroid use prior to sepsis onset, and number of chronic organ dysfunctions (HR 1.66, 95% CI 1.20-2.32, P = 0.002). However, no significant association was observed in the elderly group in either the univariate (P = 0.69) or multivariable analyses (P = 0.77). Multivariable logistic regression analysis of MOD on days 3 and 7 revealed significant associations between MOD and IL-6 levels in both groups. CONCLUSIONS: Blood IL-6 levels were significantly associated with mortality in non-elderly patients with sepsis, but not in elderly patients. IL-6 levels were associated with MOD in both groups. Therefore, IL-6 levels should be interpreted with caution when predicting mortality in elderly patients with sepsis. TRIAL REGISTRATION: Not applicable.
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日本救急医学会雑誌 35(11) 593-593 2024年11月
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Cureus 16(7) e65480 2024年7月Background Timely and effective fluid resuscitation is vital for stabilizing sepsis while avoiding volume overload. We aimed to assess how the administration of a 30 mL/kg bolus fluid affects patients with sepsis within three hours of clinical outcomes. Methods This multicenter observational study included adult patients diagnosed with sepsis in 17 intensive care units at tertiary hospitals in Japan between July 2019 and August 2020. The clinical outcomes of patients with sepsis who received ≥30 mL/kg bolus fluid within three hours (30 × 3 group) were compared with those who received <30 mL/kg fluid (non-30 × 3 group). Results Of 172 eligible patients, 74 (43.0%) belonged to the 30 × 3 group, and 98 (57.0%) belonged to the non-30 × 3 group. The median Sequential Organ Failure Assessment score was 9 (interquartile range (Q1-Q3): 7-11) in the 30 × 3 group and 7 (Q1-Q3: 4-9) in the non-30 × 3 group (P < 0.01). The 28-day mortality rate was 29.7% in the 30 × 3 group and 12.2% in the non-30 × 3 group (P < 0.01). However, the adjusted odds ratio by the inverse probability of treatment weighting analysis with propensity score for the 28-day mortality rate of the 30 × 3 group compared with that in the non-30 × 3 group was 2.17 (95% confidence interval: 0.85-5.54). Among the propensity score-matched patients, the 28-day mortality rate was 30% in the 30 × 3 (n = 70) and non-30 × 3 (n = 95) groups, respectively (P = 0.72). Conclusions Patients with sepsis who received the 30 mL/kg bolus fluid within three hours experienced more severe clinical outcomes. However, it was not associated with the increased odds of the 28-day mortality.
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Cureus 16(7) e65697 2024年7月Background The impact of intensive care unit (ICU) case volume on the mortality and medical costs of sepsis has not been fully elucidated. We hypothesized that ICU case volume is associated with mortality and medical costs in patients with sepsis in Japan. Methodology This retrospective nationwide study used the Japanese administrative data from 2010 to 2017. The ICU volume categorization into quartiles was performed according to the annual number of sepsis cases. The primary and secondary outcomes were in-hospital mortality and medical costs, respectively. A mixed-effects logistic model with a two-level hierarchical structure was used to adjust for baseline imbalances. Fractional polynomials were investigated to determine the significance of the association between hospital volume and clinical outcomes. Subgroup and sensitivity analyses were performed for the primary outcome. Results Among 317,365 sepsis patients from 532 hospitals, the crude in-hospital mortality was 26.0% and 21.4% in the lowest and highest quartile of sepsis volume, respectively. After adjustment for confounding factors, in-hospital mortality in the highest quartile was significantly lower than that of the lowest quartile (odds ratio = 0.829; 95% confidence interval = 0.794-0.865; p < 0.001). Investigations with fractional polynomials revealed that sepsis caseload was significantly associated with in-hospital mortality. The highest quartile had higher daily medical costs per person compared to the lowest quartile. Subgroup analyses showed that high-volume ICUs with patients undergoing mechanical ventilation, vasopressor therapy, and renal replacement therapy had a significantly low in-hospital mortality. The sensitivity analysis, excluding patients who were transferred to other hospitals, demonstrated a result consistent with that of the primary test. Conclusions This nationwide study using the medical claims database suggested that a higher ICU case volume is associated with lower in-hospital mortality and higher daily medical costs per person in patients with sepsis.
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BMC infectious diseases 24(1) 518-518 2024年5月23日BACKGROUND: It is important to determine the prevalence and prognosis of community-acquired infection (CAI) and nosocomial infection (NI) to develop treatment strategies and appropriate medical policies in aging society. METHODS: Patients hospitalized between January 2010 and December 2019, for whom culture tests were performed and antibiotics were administered, were selected using a national claims-based database. The annual trends in incidence and in-hospital mortality were calculated and evaluated by dividing the patients into four age groups. RESULTS: Of the 73,962,409 inpatients registered in the database, 9.7% and 4.7% had CAI and NI, respectively. These incidences tended to increase across the years in both the groups. Among the patients hospitalized with infectious diseases, there was a significant increase in patients aged ≥ 85 years (CAI: + 1.04%/year and NI: + 0.94%/year, P < 0.001), while there was a significant decrease in hospitalization of patients aged ≤ 64 years (CAI: -1.63%/year and NI: -0.94%/year, P < 0.001). In-hospital mortality was significantly higher in the NI than in the CAI group (CAI: 8.3%; NI: 14.5%, adjusted mean difference 4.7%). The NI group had higher organ support, medical cost per patient, and longer duration of hospital stay. A decreasing trend in mortality was observed in both the groups (CAI: -0.53%/year and NI: -0.72%/year, P < 0.001). CONCLUSION: The present analysis of a large Japanese claims database showed that NI is a significant burden on hospitalized patients in aging societies, emphasizing the need to address particularly on NI.
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Journal of Clinical Immunology 44(4) 2024年4月22日 査読有りAbstract Purpose Auto-antibodies (auto-abs) to type I interferons (IFNs) have been identified in patients with life-threatening coronavirus disease 2019 (COVID-19), suggesting that the presence of auto-abs may be a risk factor for disease severity. We therefore investigated the mechanism underlying COVID-19 exacerbation induced by auto-abs to type I IFNs. Methods We evaluated plasma from 123 patients with COVID-19 to measure auto-abs to type I IFNs. We performed single-cell RNA sequencing (scRNA-seq) of peripheral blood mononuclear cells from the patients with auto-abs and conducted epitope mapping of the auto-abs. Results Three of 19 severe and 4 of 42 critical COVID-19 patients had neutralizing auto-abs to type I IFNs. Patients with auto-abs to type I IFNs showed no characteristic clinical features. scRNA-seq from 38 patients with COVID-19 revealed that IFN signaling in conventional dendritic cells and canonical monocytes was attenuated, and SARS-CoV-2-specific BCR repertoires were decreased in patients with auto-abs. Furthermore, auto-abs to IFN-α2 from COVID-19 patients with auto-abs recognized characteristic epitopes of IFN-α2, which binds to the receptor. Conclusion Auto-abs to type I IFN found in COVID-19 patients inhibited IFN signaling in dendritic cells and monocytes by blocking the binding of type I IFN to its receptor. The failure to properly induce production of an antibody to SARS-CoV-2 may be a causative factor of COVID-19 severity.
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IJID regions 10 162-167 2024年3月OBJECTIVES: We aimed to describe empiric antimicrobial options for patients with community-onset sepsis using nationwide real-world data from Japan. METHODS: This retrospective cohort study used nationwide Japanese data from a medical reimbursement system database. Patients aged ≥20 years with both presumed infections and acute organ dysfunction who were admitted to hospitals from the outpatient department or emergency department between 2010 and 2017 were enrolled. We described the initial choices of antimicrobials for patients with sepsis stratified by intensive care unit (ICU) or ward. RESULTS: There were 1,195,741 patients with community-onset sepsis; of these, 1,068,719 and 127,022 patients were admitted to the wards and ICU, respectively. Third-generation cephalosporins and carbapenem were most commonly used for patients with community-onset sepsis. We found that 1.7% and 6.0% of patients initially used antimicrobials for methicillin-resistant Staphylococcus aureus coverage in the wards and ICU, respectively. Although half of the patients initially used antipseudomonal agents, only a few patients used a combination of antipseudomonal agents. Moreover, few patients initially used a combination of antimicrobials to treat methicillin-resistant Staphylococcus aureus and Pseudomonas sp. CONCLUSION: Third-generation cephalosporins and carbapenem were most frequently used for patients with sepsis. A combination therapy of antimicrobials for drug-resistant bacteria coverage was rarely provided to these patients.
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Scientific Reports 14(1) 2024年2月10日Abstract A stroke is a medical emergency and thus requires immediate treatment. Paramedics should accurately assess suspected stroke patients and promptly transport them to a hospital with stroke care facilities; however, current assessment procedures rely on subjective visual assessment. We aim to develop an automatic evaluation system for central facial palsy (CFP) that uses RGB cameras installed in an ambulance. This paper presents two evaluation indices, namely the symmetry of mouth movement and the difference in mouth shape, respectively, extracted from video frames. These evaluation indices allow us to quantitatively evaluate the degree of facial palsy. A classification model based on these indices can discriminate patients with CFP. The results of experiments using our dataset show that the values of the two evaluation indices are significantly different between healthy subjects and CFP patients. Furthermore, our classification model achieved an area under the curve of 0.847. This study demonstrates that the proposed automatic evaluation system has great potential for quantitatively assessing CFP patients based on two evaluation indices.
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Heliyon 10(1) e23480 2024年1月15日BACKGROUND: The effect of hospital spending on the mortality rate of patients with sepsis has not yet been fully elucidated. We hypothesized that hospitals that consume more medical resources would have lower mortality rates among patients with sepsis. METHODS: This retrospective study used administrative data from 2010 to 2017. The enrolled hospitals were divided into quartiles based on average daily medical cost per sepsis case. The primary and secondary outcomes were the average in-hospital mortality rate of patients with sepsis and the effective cost per survivor among the enrolled hospitals, respectively. A multiple regression model was used to determine the significance of the differences among hospital categories to adjust for baseline imbalances. RESULTS: Among 997 hospitals enrolled in this study, the crude in-hospital mortality rates were 15.7% and 13.2% in the lowest and highest quartiles of hospital spending, respectively. After adjusting for confounding factors, the highest hospital spending group demonstrated a significantly lower in-hospital mortality rate than the lowest hospital spending group (coefficient = -0.025, 95% confidence interval [CI] -0.034 to -0.015; p < 0.0001). Similarly, the highest hospital spending group was associated with a significantly higher effective cost per survivor than the lowest hospital spending group (coefficient = 77.7, 95% CI 73.1 to 82.3; p < 0.0001). In subgroup analyses, hospitals with a small or medium number of beds demonstrated a consistent pattern with the primary test, whereas those with a large number of beds or academic affiliations displayed no association. CONCLUSIONS: Using a nationwide Japanese medical claims database, this study indicated that hospitals with greater expenditures were associated with a superior survival rate and a higher effective cost per survivor in patients with sepsis than those with lower expenditures. In contrast, no correlations between hospital spending and mortality were observed in hospitals with a large number of beds or academic affiliations.
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Scientific reports 14(1) 1054-1054 2024年1月11日This retrospective cohort study aimed to develop and evaluate a machine-learning algorithm for predicting oliguria, a sign of acute kidney injury (AKI). To this end, electronic health record data from consecutive patients admitted to the intensive care unit (ICU) between 2010 and 2019 were used and oliguria was defined as a urine output of less than 0.5 mL/kg/h. Furthermore, a light-gradient boosting machine was used for model development. Among the 9,241 patients who participated in the study, the proportions of patients with urine output < 0.5 mL/kg/h for 6 h and with AKI during the ICU stay were 27.4% and 30.2%, respectively. The area under the curve (AUC) values provided by the prediction algorithm for the onset of oliguria at 6 h and 72 h using 28 clinically relevant variables were 0.964 (a 95% confidence interval (CI) of 0.963-0.965) and 0.916 (a 95% CI of 0.914-0.918), respectively. The Shapley additive explanation analysis for predicting oliguria at 6 h identified urine values, severity scores, serum creatinine, oxygen partial pressure, fibrinogen/fibrin degradation products, interleukin-6, and peripheral temperature as important variables. Thus, this study demonstrates that a machine-learning algorithm can accurately predict oliguria onset in ICU patients, suggesting the importance of oliguria in the early diagnosis and optimal management of AKI.
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Acute medicine & surgery 11(1) e70017 2024年AIM: This study investigated the correlation between the number of emergency medical service (EMS) dispatches and response time extension. In addition, we conducted a simulation to assess the potential for reducing response times by relocating the ambulance based on the number of dispatches. METHODS: This retrospective observational study analyzed data on patients treated with EMS between May 1 and June 25, 2021, in an urban area (Chiba City, Japan). Spearman's rank correlation tests were used to analyze the correlations among the number of dispatches, response time extension, and ambulance distance. We created a heat map to visualize the number of dispatches and distribution of emergency case occurrences, and simulated the relocation of the EMS team with the lowest number of dispatches to the closest EMS team with the highest number of dispatches. RESULTS: In total, 7915 emergency cases were included. The median response time across all dispatches was 9 min, whereas that for the response time extension cases was 12 min. There was a significant positive correlation between the increased number of dispatches, response time extension (r = 0.94, p < 0.0001), and ambulance distance (r = 0.95, p < 0.0001). The relocation simulation significantly shortened the average response time from 13 min and 30 s to 12 min and 11 s (9.9% decrease, p < 0.0001). CONCLUSION: An increased number of dispatches significantly increased the response time extension cases and ambulance distance. Our simulation suggests that EMS relocation can potentially shorten the response time. While increased dispatches influence the response time extension, optimal EMS allocation may improve response times.
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The American journal of emergency medicine 75 46-52 2024年1月INTRODUCTION: The neurologic prognosis of out-of-hospital cardiac arrest (OHCA) patients in whom return of spontaneous circulation (ROSC) is achieved remains poor. The aim of this study was to externally and prospectively validate two scoring systems developed by us: the CAST score, a scoring system to predict the neurological prognosis of OHCA patients undergoing targeted temperature management (TTM), and a simplified version of the same score developed for improved ease of use in clinical settings, the revised CAST (rCAST) score. METHODS: This study was a prospective, multicenter, observational study conducted using the SOS KANTO 2017 registry, an OHCA registry involving hospitals in the Kanto region (including Tokyo) of Japan. The primary outcome was favorable neurological outcome (defined as Cerebral Performance Category score of 1 or 2) at 30 days and the secondary outcomes were favorable neurological outcome at 90 days and survival at 30 and 90 days. The predictive accuracies of the original CAST (oCAST) and rCAST scores were evaluated by using area under the receiver operating characteristic curve (AUC). RESULTS: Of 9909 OHCA patients, 565 showed ROSC and received TTM. Of these, we analyzed the data of 259 patients in this study. The areas under the receiver operating characteristic curve (AUCs) of the oCAST and rCAST scores for predicting a favorable neurological outcome at 30 days were 0.86 and 0.87, respectively, and those for predicting a favorable neurological outcome at 90 days were 0.87 and 0.88, respectively. The rCAST showed a higher predictive accuracy for the neurological outcome as compared with the NULL-PLEASE score. The patients with a favorable neurological outcome who had been classified into the high severity group based on the rCAST tended to have hypothermia at hospital arrival and to not show any signs of loss of gray-white matter differentiation on brain CT. Neurological function at 90 days was correlated with the rCAST (r = 0.63, p < 0.001). CONCLUSIONS: rCAST showed high predictive accuracy for the neurological prognosis of OHCA patients managed by TTM, comparable to that of the oCAST score. The scores on the rCAST were strongly correlated with the neurological functions at 90 days, implying that the rCAST is a useful scale for assessing the severity of brain injury after cardiac arrest.
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Journal of epidemiology 2023年12月16日BACKGROUND: We evaluated the applicability of automated citation screening in developing clinical practice guidelines. METHODS: We prospectively compared the efficiency of citation screening between the conventional (Rayyan) and semi-automated (ASReview software) methods. We searched the literature for five clinical questions (CQs) in the development of the Japanese Clinical Practice Guidelines for the Management of Sepsis and Septic Shock. Objective measurements of the time required to complete citation screening were recorded. Following the first screening round, in the primary analysis, the sensitivity, specificity, positive predictive value, and overall screening time were calculated for both procedures using the semi-automated tool as index and the results of the conventional method as standard reference. In the secondary analysis, the same parameters were compared between the two procedures using the final list of included studies after the second screening session as standard reference. RESULTS: Among the five CQs after the first screening session, the highest and lowest sensitivity, specificity, and positive predictive values were 0.241 and 0.795; 0.991 and 1.000; and 0.482 and 0.929, respectively. In the secondary analysis, the highest sensitivity and specificity in the semi-automated citation screening were 1.000 and 0.997, respectively. The overall screening time per 100 studies was significantly shorter with semi-automated than with conventional citation screening. CONCLUSIONS: The potential advantages of the semi-automated method (shorter screening time and higher discriminatory rate for the final list of studies) warrant further validation. TRIAL REGISTRATION: This study was submitted to the University Hospital Medical Information Network Clinical Trial Registry (UMIN-CTR [UMIN000049366]).
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Journal of Intensive Care 11(1) 2023年11月8日Abstract Background The efficacy of therapeutic drug monitoring (TDM)-based antimicrobial dosing optimization strategies on pharmacokinetics/pharmacodynamics and specific drug properties for critically ill patients is unclear. Here, we conducted a systematic review and meta-analysis of randomized controlled trials to evaluate the effectiveness of TDM-based regimen in these patients. Methods Articles from three databases were systematically retrieved to identify relevant randomized control studies. Version two of the Cochrane tool for assessing risk of bias in randomized trials was used to assess the risk of bias in studies included in the analysis, and quality assessment of evidence was graded using the Grading of Recommendations Assessment, Development, and Evaluation approach. Primary outcome was the 28-day mortality and secondary outcome were in-hospital mortality, clinical cure, length of stay in the intensive care unit (ICU) and target attainment at day 1 and 3. Results In total, 5 studies involving 1011 patients were included for meta-analysis of the primary outcome, of which no significant difference was observed between TDM-based regimen and control groups (risk ratio [RR] 0.94, 95% confidence interval [CI]: 0.77–1.14; I2 = 0%). In-hospital mortality (RR 0.96, 95% CI: 0.76–1.20), clinical cure (RR 1.23, 95% CI: 0.91–1.67), length of stay in the ICU (mean difference 0, 95% CI: − 2.18–2.19), and target attainment at day 1 (RR 1.14, 95% CI: 0.88–1.48) and day 3 (RR 1.35, 95% CI: 0.90–2.03) were not significantly different between the two groups, and all evidence for the secondary outcomes had a low or very low level of certainty because the included studies had serious risk of bias, variation of definition for outcomes, and small sample sizes. Conclusion TDM-based regimens had no significant efficacy for clinical or pharmacological outcomes. Further studies with other achievable targets and well-defined outcomes are required. Trial registration: Clinical trial registration; PROSPERO (https://www.crd.york.ac.uk/prospero/), registry number: CRD 42022371959. Registered 24 November 2022.
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Shock: 日本Shock学会雑誌 37(1) 59-59 2023年7月
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Scientific reports 13(1) 9950-9950 2023年6月19日Predicting out-of-hospital cardiac arrest (OHCA) events might improve outcomes of OHCA patients. We hypothesized that machine learning algorithms using meteorological information would predict OHCA incidences. We used the Japanese population-based repository database of OHCA and weather information. The Tokyo data (2005-2012) was used as the training cohort and datasets of the top six populated prefectures (2013-2015) as the test. Eight various algorithms were evaluated to predict the high-incidence OHCA days, defined as the daily events exceeding 75% tile of our dataset, using meteorological and chronological values: temperature, humidity, air pressure, months, days, national holidays, the day before the holidays, the day after the holidays, and New Year's holidays. Additionally, we evaluated the contribution of each feature by Shapley Additive exPlanations (SHAP) values. The training cohort included 96,597 OHCA patients. The eXtreme Gradient Boosting (XGBoost) had the highest area under the receiver operating curve (AUROC) of 0.906 (95% confidence interval; 0.868-0.944). In the test cohorts, the XGBoost algorithms also had high AUROC (0.862-0.923). The SHAP values indicated that the "mean temperature on the previous day" impacted the most on the model. Algorithms using machine learning with meteorological and chronological information could predict OHCA events accurately.
MISC
167共同研究・競争的資金等の研究課題
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日本学術振興会 科学研究費助成事業 2024年4月 - 2028年3月
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日本学術振興会 科学研究費助成事業 2024年4月 - 2027年3月
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日本学術振興会 科学研究費助成事業 2024年4月 - 2027年3月
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日本学術振興会 科学研究費助成事業 2024年4月 - 2027年3月
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日本学術振興会 科学研究費助成事業 2023年4月 - 2026年3月