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.

Rapid assessment of severity is crucial for timely intervention and improved patient outcomes in heatstroke (HS). However, existing biomarkers are limited in their accuracy and accessibility in ER settings. A prospective pilot study was conducted to assess urinary liver fatty acid-binding protein (L-FABP) levels using a point-of-care testing (POCT) upon HS. Severity was estimated using initial Sequential Organ Failure Assessment (SOFA) scores, and outcomes were measured using modified Rankin Scale (mRS) scores. In 78 severe HS patients, semi-quantitative L-FABP measurements were performed in ER and patients were divided as P-group (positive group, L-FABP ≧ 12.5 ng/mL on POCT) and N-group (negative group: L-FABP < 12.5ng/mL, on POCT). urinary L-FABP concentrations were also measured on admission, with a median concentration of 48.3 ng/mL. The positive correlation was observed between urinary L-FABP concentration and pulse rate (r = 0.300, P < 0.01) and lactate (r = 0.259, P < 0.01). The POCT of L-FABP showed promise in predicting severity, as indicated by higher concentrations in patients with higher initial SOFA scores. Furthermore, the comparison between semi-quantitative POCT measurements and urine concentrations of L-FABP measured by enzyme-linked immunosorbent assay (ELISA) revealed significant differences among three POCT groups (POC Range < 12.5 ng/ml, 12.6–100 ng/ml, and 55 > 100 ng/ml, P = 0.001). Additionally, patients in the POCT positive group had significantly worse outcomes at discharge compared to the negative group, although this difference diminished over time. The study demonstrates the feasibility and potential utility of POCT for initial L-FABP in estimating severity in HS patients. This rapid and accessible testing method may aid in early field triage and intervention, ultimately improving patient outcomes in the management of HS.

IMPORTANCE:The relationship between post-hospital arrival factors and out-of-hospital cardiac arrest (OHCA) outcomes remains unclear.OBJECTIVES:This study assessed the impact of post-hospital arrival factors on OHCA outcomes during the COVID-19 pandemic using a prediction model.DESIGN, SETTING, AND PARTICIPANTS:In this cohort study, data from the All-Japan Utstein Registry, a nationwide population-based database, between 2015 and 2021 were used. A total of 541,781 patients older than 18 years old who experienced OHCA of cardiac origin were included.MAIN OUTCOMES AND MEASURES:The primary exposure was trends in COVID-19 cases. The study compared the predicted proportion of favorable neurologic outcomes 1 month after resuscitation with the actual outcomes. Neurologic outcomes were categorized based on the Cerebral Performance Category score (1, good cerebral function; 2, moderate cerebral function).RESULTS:The prediction model, which had an area under the curve of 0.96, closely matched actual outcomes in 2019. However, a significant discrepancy emerged after the pandemic began in 2020, where outcomes continued to deteriorate as the virus spread, exacerbated by both pre- and post-hospital arrival factors.CONCLUSIONS AND RELEVANCE:Post-hospital arrival factors were as important as pre-hospital factors in adversely affecting the prognosis of patients following OHCA during the COVID-19 pandemic. The results suggest that the overall response of the healthcare system needs to be improved during infectious disease outbreaks to improve outcomes.

Predicting poor neurological outcomes after resuscitation is important for planning treatment strategies. We constructed an explainable artificial intelligence-based prognostic model using head computed tomography (CT) scans taken immediately within 3 h of resuscitation from cardiac arrest and compared its predictive accuracy with that of previous methods using gray-to-white matter ratio (GWR). We included 321 consecutive patients admitted to our institution after resuscitation for out-of-hospital cardiopulmonary arrest with circulation resumption over 6 years. A machine learning model using head CT images with transfer learning was used to predict the neurological outcomes at 1 month. These predictions were compared with the predictions of GWR for multiple regions of interest in head CT using receiver operating characteristic (ROC)-area under curve (AUC) and precision recall (PR)-AUC. The regions of focus were visualized using a heatmap. Both methods had similar ROC-AUCs, but the machine learning model had a higher PR-AUC (0.73 vs. 0.58). The machine learning-focused area of interest for classification was the boundary between gray and white matter, which overlapped with the area of focus when diagnosing hypoxic– ischemic brain injury. The machine learning model for predicting poor outcomes had superior accuracy to conventional methods and could help optimize treatment.

Refining out-of-hospital cardiopulmonary arrest (OHCA) resuscitation protocols for local emergency practices is vital. The lack of comprehensive evaluation methods for individualized protocols impedes targeted improvements. Thus, we employed machine learning to assess emergency medical service (EMS) records for examining regional disparities in time reduction strategies. In this retrospective study, we examined Japanese EMS records and neurological outcomes from 2015 to 2020 using nationwide data. We included patients aged ≥ 18 years with cardiogenic OHCA and visualized EMS activity time variations across prefectures. A five-layer neural network generated a neurological outcome predictive model that was trained on 80% of the data and tested on the remaining 20%. We evaluated interventions associated with changes in prognosis by simulating these changes after adjusting for time factors, including EMS contact to hospital arrival and initial defibrillation or drug administration. The study encompassed 460,540 patients, with the model’s area under the curve and accuracy being 0.96 and 0.95, respectively. Reducing transport time and defibrillation improved outcomes universally, while combining transport time and drug administration showed varied efficacy. In conclusion, the association of emergency activity time with neurological outcomes varied across Japanese prefectures, suggesting the need to set targets for reducing activity time in localized emergency protocols.

•We aimed to predict the need for hemostasis from data obtained during helicopter emergency medical services treatment.•Shock index, blood pressure changes, and sonography for trauma-affected emergency hemostasis are studied.•Limited prehospital data are needed for predictive models for emergency hemostasis.

Background : Although early surgery is known to be effective for the treatment of traumatic cervical spinal cord injury (CSCI), whether it is equally effective in severe CSCI cases remains undetermined. This study aimed to determine whether surgery within 24 h improves the neurological prognosis and reduces the complications associated with surgery for traumatic severe CSCI. Methods : The data of 42 patients with traumatic severe CSCI with American Spinal Injury Association (ASIA) Impairment Scale (AIS) grades A–B who underwent surgery between December 2007 and May 2018 were retrospectively reviewed. The participants were classified into early surgery (<24 h) and late surgery (>24 h) groups. Using the inverse probability of treatment weighting (IPTW) with propensity score adjustment for confounding factors, the AIS grades before and 1 month following surgical treatment, which were considered the primary outcomes, were compared. The secondary outcomes were the intensive care unit length of stay (ICU-LOS) and occurrence of respiratory complications and cardiac arrest. Results : In the early surgery group (n = 32, 76%), the average time to surgery was 10.25 h (4–23 h). The IPTW analysis indicated significant differences in the neurological improvement according to the AIS grade at 1 month following surgery (odds ratio [OR]: 17.1, 95% confidence interval [Cl]: 1.9–156.7, p = 0.012), the ICU-LOS >7 days (OR: 0.14, 95% Cl: 0.02–0.90, p = 0.04), and the occurrence of respiratory complications (OR: 0.08, 95% Cl: 0.01–0.73, p = 0.03) and cardiac arrest (OR: 0.13, 95% Cl: 0.02–0.85, p = 0.03). Conclusions : Early surgery (within 24 h) for traumatic severe CSCI may improve the neurological prognosis and prevent a long ICU-LOS and postoperative complications.

Purpose: Successful cardiopulmonary resuscitation is associated with a high incidence of chest wall injuries. However, few studies have examined chest wall injury as a risk factor for respiratory complications after cardiopulmonary resuscitation. Therefore, herein, we investigated the association of multiple rib fractures on the incidence of post-resuscitation pneumonia. Methods: This single-centre retrospective cohort study enrolled adult, nontraumatic, out-of-hospital cardiac arrest patients who maintained circulation for more than 48 h between June 2015 and May 2019. Rib fractures were evaluated by computed tomography on the day of hospital admission. The association with newly developed pneumonia within 7 days of hospitalisation was analysed using a Fine-Gray proportional hazards regression model adjusted for the propensity score of multiple rib fractures estimated from age, sex, presence of witnessed status, bystander CPR, initial rhythm, and total CPR time and for previously reported risk factors for pneumonia (therapeutic hypothermia and prophylactic antibiotics). Results: Overall, 683 patients with out-of-hospital cardiac arrest were treated; 87 eligible cases were enrolled for analysis. Thirty-two (36.8%) patients had multiple rib fractures identified on computed tomography, and 35 (40.2%) patients developed pneumonia. The presence of multiple rib fractures was significantly associated with a higher incidence of pneumonia, consistently both with and without adjustment for background factors (unadjusted hazard ratio 4.63, 95% confidence interval: 2.35-9.13, p < 0.001; adjusted hazard ratio 4.03, 95% confidence interval: 2.08-7.82, p < 0.001). Conclusions: Multiple rib fractures are independently associated with the development of pneumonia after successful resuscitation.

During the novel coronavirus disease (COVID-19) pandemic, emergency medical services (EMS) has borne a huge burden in transporting emergency patients. However, the protocol's effect on identifying emergency patients who are likely to have COVID-19 is unknown. We aimed to evaluate the diagnostic accuracy of a prehospital COVID-19 screening protocol for EMS. We conducted this population-based retrospective study in Nara Prefecture, Japan. The Nara Prefectural Government implemented a screening protocol for COVID-19 comprising the following symptom criteria (fever, cough, sore throat, headache, malaise, dysgeusia, or anosmia) and epidemiological criteria (contact history with confirmed COVID-19 cases or people with upper respiratory symptoms, or travel to areas with high infection rate). A patient meeting at least one criterion of each class was considered positive. We evaluated all 51,351 patients from the regional EMS database of the Nara Prefecture (emergency Medical Alliance for Total Coordination of Healthcare) who were registered from June 15, 2020 to May 31, 2021 and had results of COVID-19 reverse transcription polymerase chain reaction (RT-PCR) tests. We assessed the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of this protocol. We also assessed how these outcomes changed by adding vital signs and conducted a 10-fold and 100-fold prevalence simulation. The screening protocol was used for 246/51351 patients (0.5%). Among them, 31 tested positive after EMS transportation. This protocol's sensitivity, specificity, PPV, and NPV were 40.8%, 99.6%, 12.6%, and 99.9%, respectively. With the addition of ≥2 vital signs (body temperature ≥37.5 °C, respiratory rate ≥20 breaths/minute, and oxygen saturation <90%), sensitivity and PPV changed to 61.8% and 1.0%, respectively, while NPV remained 99.9%. With a 10-fold and 100-fold increase in disease, the protocol PPV would be 59.0% and 94.3%, and NPV would be 99.1% and 90.7%, respectively, and with additional vital signs, PPV would be 8.9% and 53.1%, and NPV would be 99.4% and 93.2%, respectively. This COVID-19 screening protocol helped enable EMS transport for patients with COVID-19 with a PPV of 12.6%. Adding other vital sign variables may improve its diagnostic value if the prevalence rate increases.

AimThe evaluation of the effects of resuscitation activity factors on the outcome of out-of-hospital cardiopulmonary arrest (OHCA) requires consideration of the interactions among these factors. To improve OHCA success rates, this study assessed the prognostic interactions resulting from simultaneously modifying two prehospital factors using a trained machine learning model.MethodsWe enrolled 8274 OHCA patients resuscitated by emergency medical services (EMS) in Nara prefecture, Japan, with a unified activity protocol between January 2010 and December 2018; patients younger than 18 and those with noncardiogenic cardiopulmonary arrest were excluded. Next, a three-layer neural network model was constructed to predict the cerebral performance category score of 1 or 2 at one month based on 24 features of prehospital EMS activity. Using this model, we evaluated the prognostic impact of continuously and simultaneously varying the transport time and the defibrillation or drug-administration time in the test data based on heatmaps.ResultsThe average class sensitivity of the prognostic model was more than 0.86, with a full area under the receiver operating characteristics curve of 0.94 (95% confidence interval of 0.92-0.96). By adjusting the two time factors simultaneously, a nonlinear interaction was obtained between the two adjustments, instead of a linear prediction of the outcome.ConclusionModifications to the parameters using a machine-learning-based prognostic model indicated an interaction among the prognostic factors. These findings could be used to evaluate which factors should be prioritized to reduce time in the trained region of machine learning in order to improve EMS activities.

Background: Current guidelines emphasize the assistance of the emergency dispatcher in bystander cardiopulmonary resusitation (CPR). Its quality, however, has varied across cases. Objective: To determine the effect of repetitive coaching by dispatchers using verbal encouragement on the quality of lay-rescuer CPR. Methods: We conducted a dispatch-assisted CPR (DACPR) simulation study. Participants with no CPR training within the previous year were assigned randomly to 1 of 2 DACPR simulations. One was the No Coaching Group: callers were told to perform CPR and the dispatcher periodically confirmed that the caller was performing CPR. The second group was the Coaching Group: the dispatcher repetitively coached, encouraged, and counted aloud using a metronome. Participants performed CPR for 2 min under instruction from the study dispatcher. Parameters including chest compression depth, rate, and chest compression fraction were recorded by video camera and CPR manikin. Results: Forty-nine participants 20 to 50 years of age were recruited, and 48 completed the simulation (Coaching Group, n = 27; No Coaching Group, n = 21). The chest compression fraction was higher in the Coaching Group (99.4% vs. 93.0%, p = 0.005) and no participants interrupted chest compression more than 10 s in this group. When comparing the average depth of each 30-s period in each group, the depth increased over time in the Coaching Group (40.9 mm, 43.9 mm, 44.1 mm, and 42.8 mm), while it slightly decreased in the No Coaching Group (40.6 mm, 40.1 mm, 39.4 mm, and 39.8 mm). Conclusions: Repetitive verbal encouragements augmented chest compression depth with less-hands off time. Continuous coaching by dispatchers can optimize lay-rescuer CPR. (c) 2022 Elsevier Inc. (c) 2022 The Author(s). Published by Elsevier Inc.

Purpose Atlantodens osteoarthritis and atlantoaxial osteoarthritis cause neck pain and suboccipital headaches. Currently, knowledge on the risk factors for atlantoaxial osteoarthritis is lacking. This study aimed to investigate the factors related to the increased risk of atlantoaxial osteoarthritis. Methods We analyzed computed tomography (CT) images of the upper cervical spine of 1266 adult trauma patients for whom upper cervical spine CT was performed at our hospital between 2014 and 2019. The degree of atlantoaxial osteoarthritis was quantified as none-to-mild (not having osteoarthritis) or moderate-to-severe (having osteoarthritis). Risk factors associated with atlantoaxial osteoarthritis were identified using univariate and multivariable logistic regression analyses. Results The study group included 69.4% men, and the overall average age of the study population was 54.9 ± 20.4 years. The following factors were independently and significantly associated with atlantoaxial osteoarthritis in the multivariable logistic regression analysis: age in the sixth decade or older (odds ratio [OR], 20.5; 95% confidence interval [CI], 6.2‒67.2, p < 0.001), having calcific synovitis (OR, 4.9; 95% CI, 2.4‒9.9, p < 0.001), women sex (OR, 3.3; 95% CI, 1.9‒5.7, p = 0.002), and not having atlantodens osteoarthritis (OR, 2.1; 95% CI, 1.2‒3.8, p = 0.014). Conclusion In the multivariable logistic regression analysis, age in the sixth decade or older, calcification of the transverse ligament, being women, and not having atlantodens osteoarthritis were found to be significantly associated with atlantoaxial osteoarthritis. Delayed diagnosis and treatment can be avoided by focusing on these risk factors.

Abstract Background The outcome of road traffic injury (RTI) is determined by duration of prehospital time, patient’s demographics, and the type of injury and its mechanism. During the emergency medical service (EMS) prehospital time interval, on-scene time should be minimized for early treatment. This study aimed to examine the factors influencing on-scene EMS time among RTI patients. Methods We evaluated 19,141 cases of traffic trauma recorded between April 2014 and March 2020 in the EMS database of the Nara Wide Area Fire Department and the prehospital database of the emergency Medical Alliance for Total Coordination of Healthcare (e-MATCH). To examine the association of the number of EMS phone calls until hospital acceptance, age ≥65 years, high-risk injury, vital signs, holiday, and nighttime (0:00–8:00) with on-scene time, a generalized linear mixed model with random effects for four study regions was conducted. Results EMS phone calls were the biggest factor, accounting for 5.69 minutes per call, and high-risk injury accounted for an additional 2.78 minutes. Holiday, nighttime, and age ≥65 years were also associated with increased on-scene time, but there were no significant vital sign variables for on-scene time, except for the level of consciousness. Regional differences were also noted based on random effects, with a maximum difference of 2 minutes among regions. Conclusions The number of EMS phone calls until hospital acceptance was the most significant influencing factor in reducing on-scene time, and high-risk injury accounted for up to an additional 2.78 minutes. Considering these factors, including regional differences, can help improve the regional EMS policies and outcomes of RTI patients.

OBJECTIVES:Hemoglobin (Hb) levels have been considered to remain stable in the early stages of bleeding due to trauma. However, several studies have reported that rapid compensatory fluid shifts cause Hb dilution earlier than previously thought. These reports are from Western countries where it is standard protocol to administer fluids during an emergency, making it almost impossible to eliminate the effect of prehospital intravenous fluid administration on Hb levels. This study aimed to determine the relationship between Hb levels and severity of injury on arrival at the hospital in severe trauma patients without prehospital intravenous fluid administration.METHODS:This single-center observational retrospective study included patients with Abbreviated Injury Scale scores of 3 or above between 2008 and 2014. In Japan, prehospital life-saving technicians were not allowed to administer intravenous fluids until 2014. We investigated whether the difference between the measured blood Hb level at arrival and the corresponding standard blood Hb level for each age group and sex reported in the national survey was associated with the severity of injury and the need for hemostasis.RESULTS:In total, 250 patients were included in this study (median age, 46 years; male patients, 183). The median time from injury to arrival at the hospital was 45 min, and there was no statistical correlation with the initial Hb level on arrival (ρ=0.092, p=0.14). When the study subjects were stratified into four groups according to the initial Hb levels, lower Hb levels correlated with higher rates of requirement for hemostatic interventions (p=0.02) and mortality (p=0.02). In addition, lower Hb levels were associated with the need for hemostasis.CONCLUSION:In severe trauma patients without prehospital intravenous fluid administration, decreased Hb levels on arrival may be associated with the severity of trauma and with the need for hemostasis.LEVEL OF EVIDENCE:Level IV.

Vertebral artery injury (VAI) is not uncommon following blunt neck trauma, although bilateral VAI—which is rarer—can be fatal. We present the case of a 77-year-old man who was transported with a head injury and consciousness disorder. No hemorrhagic lesions in the patient’s head were noted using computed tomography (CT). Mild anterior opening between the fourth and fifth cervical vertebrae (C4 and C5) and multiple spinous process fractures between C4 and the first thoracic vertebrae (T1) were detected. No CT findings suggestive of VAI were noted. Brain magnetic resonance imaging (MRI) findings showed extensive brain infarctions, bilateral VAI, anterior longitudinal ligament injury, disc injury at C4/5, and retropharyngeal hematoma. He was admitted to the intensive care unit, but his family refused invasive surgical treatment; he died 6 days after admission. The extensive brain infarctions were considered to be associated with bilateral VAI because of cervical hyperextension injury. This case highlighted the importance of considering brain ischemia due to VAI, as a differential diagnosis, in patients with consciousness disorder and possible cervical hyperextension injuries, even in the absence of CT findings suggestive of VAI. In such patients, CT angiography should be performed early to evaluate the possibility of VAI.

Introduction: Under the SARS-CoV-2 pandemic, rescuers are recommended to cover their mouth and nose with a facemask or a cloth as well as victim’s mouth and nose when performing cardiopulmonary resuscitation (CPR). However, its impact on dispatch-assisted CPR (DACPR) has not been investigated well. Hypothesis: DACPR including the instruction for covering the rescuer’s and the victim’s mouth and nose can significantly delay the start of the first chest compression. Methods: We retrospectively analyzed DACPR records of the Nara Wide Area Fire Department, covering population of 853,000/3361km 2 , in Japan. We investigated the key time intervals of 505 DACPR records between May 2020 and March 2021. We also compared the results to that of the same period in 2019 (535 records). Results: Dispatchers failed to provide mask instruction in 322 cases (63.8%). The median time interval from the emergency call and the start of CPR instruction was longer in 2020 (197 seconds vs 190 seconds, p=0.641). The time to the first chest compression was also delayed in 2020 (264 seconds vs 246 seconds, p=0.015). Among the cases that dispatchers successfully provided mask instruction (183 cases, 36.2%), median time intervals to the start of instruction and the first chest compression were relatively faster than cases without mask instruction (177 seconds vs 211 seconds and 254 seconds vs 269.5 seconds, respectively). Conclusions: Dispatchers failed to provide mask instruction in the majority of CA cases. However, our study results indicate that the impact of mask instruction on DACPR can be minor in terms of immediate CPR provision.

Background This study aimed to determine whether surgery within 24 h improves the neurological prognosis and reduces the complications associated with surgery for traumatic severe cervical spinal cord injury (CSCI). Methods The data of 42 patients with traumatic severe CSCI with American Spinal Injury Association (ASIA) Impairment Scale (AIS) grades of A–B who underwent surgery between December 2007 and May 2018 were retrospectively reviewed. The participants were divided into early surgery (< 24 h) and late surgery (> 24 h) groups. Using inverse probability of treatment weighting (IPTW) with propensity score adjustment for confounding factors, the AIS grade before and 1 month following surgical treatment as the primary outcome were compared. The secondary outcome was the intensive care unit length of stay (ICU-LOS) and occurrence of respiratory complications and cardiac arrest. Results In the early surgery group (n = 32, 76%), the average time to surgery was 10.25 h (4–23 h). The IPTW analysis indicated significant differences in neurological improvement according to the AIS grade at 1 month following surgery (odds ratio [OR]: 17.1 95% confidence interval [Cl]: 1.9–156.7, p = 0.012), ICU-LOS > 7 days (OR: 0.14 95% Cl: 0.02–0.90, p = 0.04), respiratory complications (OR: 0.08 95% Cl: 0.01–0.73, p = 0.03), and cardiac arrest (OR: 0.13 95% Cl: 0.02–0.85, p = 0.03). Conclusions Early surgery (within 24 h) for traumatic severe CSCI may be effective in improving the neurological prognosis, and preventing a long ICU-LOS and postoperative complications.

The Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock 2020 (J-SSCG 2020), a Japanese-specific set of clinical practice guidelines for sepsis and septic shock created as revised from J-SSCG 2016 jointly by the Japanese Society of Intensive Care Medicine and the Japanese Association for Acute Medicine, was first released in September 2020 and published in February 2021. An English-language version of these guidelines was created based on the contents of the original Japanese-language version. The purpose of this guideline is to assist medical staff in making appropriate decisions to improve the prognosis of patients undergoing treatment for sepsis and septic shock. We aimed to provide high-quality guidelines that are easy to use and understand for specialists, general clinicians, and multidisciplinary medical professionals. J-SSCG 2016 took up new subjects that were not present in SSCG 2016 (e.g., ICU-acquired weakness [ICU-AW], post-intensive care syndrome [PICS], and body temperature management). The J-SSCG 2020 covered a total of 22 areas with four additional new areas (patient- and family-centered care, sepsis treatment system, neuro-intensive treatment, and stress ulcers). A total of 118 important clinical issues (clinical questions, CQs) were extracted regardless of the presence or absence of evidence. These CQs also include those that have been given particular focus within Japan. This is a large-scale guideline covering multiple fields; thus, in addition to the 25 committee members, we had the participation and support of a total of 226 members who are professionals (physicians, nurses, physiotherapists, clinical engineers, and pharmacists) and medical workers with a history of sepsis or critical illness. The GRADE 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, 79 GRADE-based recommendations, 5 Good Practice Statements (GPS), 18 expert consensuses, 27 answers to background questions (BQs), and summaries of definitions and diagnosis of sepsis were created as responses to 118 CQs. We also incorporated visual information for each CQ according to the time course of treatment, and we will also distribute this as an app. The J-SSCG 2020 is expected to be widely used as a useful bedside guideline in the field of sepsis treatment both in Japan and overseas involving multiple disciplines.

We present the case of a 79-year-old woman who presented at our center with a periprosthetic tibial fracture with a popliteal artery injury after total knee arthroplasty. Anastomosis of the popliteal artery was performed on the day of injury, and was later treated by open reduction and internal fixation. The patient was able to walk 3 months after injury. The present case was difficult to treat because of the arterial injury associated with periprosthetic fracture. Although revision of the implant was considered, open reduction and internal fixation was selected because of the severity of soft-tissue damage. The mechanism of injury is not uncommon, and it is expected that similar fractures will become more prevalent in the future as the number of knee replacement surgeries increases.