Heterogeneity in the definition of major adverse kidney events: a scoping review.

Acute kidney injury (AKI) is associated with persistent renal dysfunction, the receipt of dialysis, dialysis dependence, and mortality. Accordingly, the concept of major adverse kidney events (MAKE) has been adopted as an endpoint for assessing the impact of AKI. However, applied criteria or observation periods for operationalizing MAKE appear to vary across studies. To evaluate this heterogeneity for MAKE evaluation, we performed a systematic scoping review of studies that employed MAKE as an AKI endpoint. Four major academic databases were searched, and we identified 122 studies with increasing numbers over time. We found marked heterogeneity in applied criteria and observation periods for MAKE across these studies, with some even lacking a description of criteria. Moreover, 13 different observation periods were employed, with 30 days and 90 days as the most common. Persistent renal dysfunction was evaluated by estimated glomerular filtration rate (34%) or serum creatinine concentration (48%); however, 37 different definitions for this component were employed in terms of parameters, cut-off criteria, and assessment periods. The definition for the dialysis component also showed significant heterogeneity regarding assessment periods and duration of dialysis requirement (chronic vs temporary). Finally, MAKE rates could vary by 7% [interquartile range: 1.7-16.7%] with different observation periods or by 36.4% with different dialysis component definitions. Our findings revealed marked heterogeneity in MAKE definitions, particularly regarding component assessment and observation periods. Dedicated discussion is needed to establish uniform and acceptable standards to operationalize MAKE in terms of selection and applied criteria of components, observation period, and reporting criteria for future trials on AKI and related conditions.

Change in the Proportion of Death at Home during the COVID-19 Pandemic and Its Associated Factors in the Municipality Level: A Nationwide Study in Japan.

Introduction: The coronavirus disease 2019 (COVID-19) pandemic may have led to an increase in home deaths due to hospital bed shortage and hospital visitation restrictions. This study aimed to examine changes in the proportion of home deaths before and after the COVID-19 pandemic and identify associated factors. Methods: We used publicly available nationwide data to describe the proportion of home deaths among total deaths from 2015 to 2021. Furthermore, we used municipal-level data to examine the factors associated with the increase in the proportion of home deaths from 2019 to 2021. The dependent variable was the absolute change in the proportion of home deaths from 2019 to 2021. The independent variables included each municipality's 2019 home death percentage, medical and long-term care (LTC) resources divided by the population of older people, population density, and cumulative number of COVID-19 cases. A multivariable linear regression analysis was conducted after the standardization of each variable. Results: The proportions of home deaths in 2015, 2019, and 2021 were 12.7%, 13.6%, and 17.2%, respectively, indicating a sharp increase in home death rate after the COVID-19 pandemic. In the multivariable linear regression analysis that included 1,696 municipalities, conventional home care support clinics and hospitals (HCSCs) (coefficient [95% confidence intervals (CIs)], 0.19 [0.01-0.37]), enhanced HCSCs (0.53 [0.34-0.71]), home-visiting nurses (0.26 [0.06-0.46]), population density (0.44 [0.21-0.67]), and cumulative COVID-19 cases (0.49 [0.27-0.70]) were positively associated with the increase in home deaths, whereas beds of LTC welfare facilities (-0.55 [-0.74--0.37]) and the proportion of home deaths in 2019 (-1.24 [-1.44--1.05]) were negatively associated with the increase. Conclusions: During the COVID-19 pandemic, home deaths significantly increased, particularly in densely populated areas with high cumulative COVID-19 cases. HCSCs, especially enhanced HCSCs, are crucial for meeting the demand for home-based end-of-life care.

Carboxyhemoglobin in Cardiac Surgery Patients and Its Association with Risk Factors and Biomarkers of Hemolysis.

BACKGROUND: Cardiac surgery with cardiopulmonary bypass (CPB) is associated with hemolysis. Yet, there is no easily available and frequently measured marker to monitor this hemolysis. However, carboxyhemoglobin (CO-Hb), formed by the binding of carbon monoxide (a product of heme breakdown) to hemoglobin, may reflect such hemolysis. We hypothesized that CO-Hb might increase after cardiac surgery and show associations with operative risk factors and indirect markers for hemolysis. METHODS: We conducted a retrospective descriptive cohort study of data from on-pump cardiac surgery patients. We analyzed temporal changes in CO-Hb levels and applied a generalized linear model to assess patient characteristics associated with peak CO-Hb levels. Additionally, we examined their relationship with red blood cell (RBC) transfusion and bilirubin levels. RESULTS: We studied 38,487 CO-Hb measurements in 1735 patients. CO-Hb levels increased significantly after cardiac surgery, reaching a peak CO-Hb level 2.1 times higher than baseline (P < .001) at a median of 17 hours after the initiation of surgery. Several factors were independently associated with higher peak CO-Hb, including age (P < .001), preoperative respiratory disease (P = .001), New York Heart Association Class IV (P = .019), the number of packed RBC transfused (P < .001), and the duration of CPB (P = .002). Peak CO-Hb levels also significantly correlated with postoperative total bilirubin levels (Rho = 0.27, P < .001). CONCLUSIONS: CO-Hb may represent a readily obtainable and frequently measured biomarker that has a moderate association with known biomarkers of and risk factors for hemolysis in on-pump cardiac surgery patients. These findings have potential clinical implications and warrant further investigation.

Situation, Education, Innovation, and Recommendation: A Large-Scale Systematic Review of Advance Care Planning in the Age of COVID-19.

The COVID-19 pandemic highlighted the need for advance care planning (ACP) as a way to help mitigate the various care concerns that accompanied the healthcare crisis. However, unique obstacles to typical ACP practice necessitated the need for guidance and innovation to help facilitate these vital conversations. The aim of this systematic review was to identify the various ACP barriers and facilitators that arose during the pandemic and determine how ACP practice was affected across different contexts and among different populations. This systematic review (PROSPERO registration number: CRD42022359092), which adheres to the PRISMA guidelines for reporting systematic reviews, examined studies on ACP in the context of the COVID-19 pandemic. The review involved searches of five databases, including MEDLINE and Embase. Of the 843 identified studies, 115 met the inclusion criteria. The extracted ACP barriers and facilitators were codified and quantified. The most frequently occurring ACP barrier codes were: Social distancing measures and visitation restrictions, Uncertainty surrounding the COVID-19 prognosis, and Technological/Telehealth barriers. The most frequently occurring ACP facilitator codes were the following: Telehealth/virtual ACP platforms, Training for clinicians, and Care team collaboration. Identifying the ACP barriers and facilitators is essential for developing effective, resilient ACP promotion strategies and improving its delivery, accessibility, and acceptability.

Impact of renal dysfunction on the diagnosis of acute pancreatitis using urinary trypsinogen-2: A retrospective study.

AIM: Early diagnosis of acute pancreatitis is crucial, and urinary trypsinogen has been recently reported as a useful biomarker for diagnosing acute pancreatitis. We aimed to evaluate the impact of renal dysfunction on the diagnostic performance of urinary trypsinogen-2 for acute pancreatitis. METHODS: We conducted a retrospective study using the clinical data of patients who visited the Department of Emergency and Critical Care at the University of Tokyo Hospital between 1 October, 2021, and 30 June, 2022. Patients with available data on qualitative urinary trypsinogen-2 levels were identified. We compared the urinary trypsinogen-2 levels among patients who were clinically diagnosed with acute pancreatitis. We further stratified the patients according to renal function parameters, such as serum creatinine level, blood urea nitrogen level, and estimated glomerular filtration rate, and evaluated the performance of urinary trypsinogen-2 as a biomarker for acute pancreatitis. RESULTS: Within 9 months, 35 patients were identified. Of them, 22 patients showed positive results and 13 showed negative results on the urinary trypsinogen-2 test. The sensitivity, specificity, positive predictive value, and negative predictive value were 0.80, 0.40, 0.18, and 0.92, respectively. Based on the blood urea nitrogen level and estimated glomerular filtration rate, the prevalence of false-positive results was significantly higher in patients with reduced renal function than in those with normal renal function. CONCLUSION: In patients with reduced renal function, the urinary trypsinogen-2 qualitative test results might be interpreted with caution when used for diagnosing acute pancreatitis.

Impact of COVID-19 on pediatric surgery cancellations: A retrospective study.

BACKGROUND: Prevalence trends and reasons for pediatric surgery cancellation in Japan during the coronavirus disease 2019 (COVID-19) pandemic have not previously been reported. This study aimed to compare the prevalence and reasons for cancellation of pediatric surgeries in Japan before and during the COVID-19 pandemic. METHODS: This single-center retrospective cohort study reviewed the reasons for surgery cancellations scheduled for patients aged <18 years between the prepandemic period (September 2017-December 2019) and the COVID-19 pandemic period (January 2020-April 2022). The cancellation reasons were classified into four major categories: medical, surgical, patient-related, and administrative. RESULTS: Of the 3395 and 3455 surgeries scheduled before and during the COVID-19 pandemic, 305 (9.0%) and 319 (9.2%) surgeries were canceled (p = 0.737), respectively. The proportion of cancellations due to infections or fever in medical reasons decreased from 67.9% to 56.1% (p = 0.003) and that due to patient-related reasons increased from 6.6% to 15.1% (p = 0.001). Further, the proportion of cancellations due to staff shortages in staff administrative reasons increased from 0.3% to 3.1% (p = 0.011). There was no significant difference in the proportion of surgeries canceled due to surgical reasons between the two periods. CONCLUSIONS: The proportion of cancellations due to infections or fever decreased during the COVID-19 pandemic, while that due to staff shortages increased. Infection prevention is an important measure to address the staff shortages. Implementation of national or regional policies and additional strategic interventions may be required to prepare for disasters like the COVID-19 pandemic.

Solute Clearance Evaluation and Filter Clotting Prediction in Continuous Renal Replacement Therapy.

Unexpected filter clotting is a major problem in continuous renal replacement therapy (CRRT). Reduced solute clearance is observed prior to filter clotting. This single-center, retrospective, observational study aimed to determine whether reduced solute clearance of low- and medium-molecular-weight molecules in CRRT can predict filter clotting. Solute clearances of urea and myoglobin (Mb) were measured at 24 h after initiation of continuous hemodiafiltration (CHDF). Clearance per flow (CL/F) was calculated. The primary outcome was clotting of the filter in the subsequent 24 h, and 775 CHDF treatments conducted on 230 patients for at least 24 consecutive hours in our ICU were analyzed. Filter clotting was observed in 127 treatments involving 39 patients. Urea and Mb CL/F at 24 h were significantly lower in the patients who experienced clotting. Further analysis was limited to the first CHDF treatment of each patient to adjust for confounding factors. Multivariate logistic regression analysis revealed that both urea CL/F < 94% and Mb CL/F < 64% were significant predictors of clotting within the next 24 h. Lower urea and Mb CL/F measured at 24 h after CRRT initiation were associated with filter clotting in the next 24 h. Further study is necessary to ascertain whether measurement of urea and MB CL/F will help with avoiding unexpected filter clotting.

Barriers to and facilitators of advance care planning implementation for medical staff after the COVID-19 pandemic: an overview of reviews.

OBJECTIVE: The COVID-19 pandemic has impacted the capacity for advance care planning (ACP) among patients, families and healthcare teams. We sought to identify and review the barriers to and facilitators of ACP implementation for medical staff in different settings (eg, hospitals, outpatient palliative care, nursing and care homes) during the pandemic. DESIGN: This study employed an overview of reviews design. We searched the MEDLINE, CENTRAL, Web of Science and Embase databases for studies published between 8 December 2019 and 30 July 2023. We used AMSTAR 2 to assess the risk of bias. RESULTS: We included seven reviews. Common barriers to ACP implementation included visitation restrictions, limited resources and personnel and a lack of coordination among healthcare professionals. In care and nursing homes, barriers included a dearth of palliative care physicians and the psychological burden on facility staff. Using telemedicine for information sharing was a common facilitator across settings. In hospitals, facilitators included short-term training in palliative care and palliative care physicians joining the acute care team. In care and nursing homes, facilitators included ACP education and emotional support for staff. CONCLUSIONS: Visitation restrictions and limited resources during the pandemic posed obstacles; however, the implementation of ACP was further hindered by insufficient staff education on ACP in hospitals and facilities, as well as a scarcity of information sharing at the community level. These pre-existing issues were magnified by the pandemic, drawing attention to their significance. Short-term staff training programmes and immediate information sharing could better enable ACP. PROSPERO REGISTRATION NUMBER: CRD42022351362.

Characteristics and in-hospital mortality of patients with COVID-19 from the first to fifth waves of the pandemic in 2020 and 2021 in the Japanese Medical Data Vision database.

Objectives: We aimed to describe patient characteristics, healthcare utilization, and in-hospital mortality among patients with COVID-19 in Japan across waves. Methods: Using a large-scale hospital-based database, we identified patients hospitalized for COVID-19 in the first (January-June 2020), second (June-October 2020), third (October 2020-February 2021), fourth (March-June 2021), and fifth (June-December 2021) waves. We summarized patient characteristics, healthcare utilization, and in-hospital mortality during each wave and performed multivariable logistic regression analyses for in-hospital mortality. Results: From the first to fifth waves, the number of patients (mean age ± standard deviation, years) was 2958 (61.2 ± 22.8), 7981 (55.6 ± 25.3), 18,788 (63.6 ± 22.9), 17,729 (60.6 ± 22.6), and 23,656 (51.2 ± 22.3), respectively. There were 190 (6.4%), 363 (4.5%), 1261 (6.7%), 1081 (6.1%), and 762 (3.2%) in-hospital deaths, respectively. The adjusted odds ratios for in-hospital deaths (95% confidence interval) were 0.78 (0.65-0.95), 0.94 (0.79-1.12), 0.99 (0.84-1.18), 0.77 (0.65-0.92), in the second to fifth waves, respectively, compared with the first wave. Conclusions: In-hospital COVID-19 mortality improved from the first to the second wave; however, during the third and fourth waves, mortality was as serious as in the first wave. Although in-hospital mortality during the fifth wave improved, careful monitoring is needed for upcoming waves, considering changing patient and viral characteristics.

Association between physicians' characteristics and their knowledge, attitudes, and practices regarding advance care planning: a cross-sectional study.

BACKGROUND: Despite physicians' vital role in advance care planning, a limited number of physicians practice it. This study assessed factors associated with physicians' knowledge, attitudes, and practices regarding advance care planning. METHODS: This cross-sectional study used data from an anonymous survey conducted by the Japanese Ministry of Health, Labour and Welfare. Questionnaires were mailed to 4500 physicians in November and December 2022. Data from 1260 respondents were analyzed. RESULTS: Of the respondents, 46.4%, 77.0%, and 82.0% reported good knowledge of advance care planning, agreed with promoting it, and with its provision by medical/care staff, respectively. Male physicians were significantly less likely to support advance care planning (odds ratio: 0.54, 95% confidence interval: 0.35-0.84) or agree to its provision by medical/care staff (odds ratio: 0.47, 95% confidence interval: 0.29-0.78) but significantly more likely to practice it (odds ratio: 1.58, 95% confidence interval: 1.05-2.36). Physicians specialized in surgery or internal/general/palliative medicine were more knowledgeable about advance care planning and more likely to practice it. Physicians working in clinics were significantly less knowledgeable (odds ratio: 0.33, 95% confidence interval: 0.25-0.44) about advance care planning and less likely to support it (odds ratio: 0.37, 95% confidence interval: 0.27-0.50), agree with its provision by medical/care staff (odds ratio: 0.54, 95% confidence interval: 0.39-0.75), or to practice it (odds ratio: 0.16, 95% confidence interval: 0.12-0.22). CONCLUSIONS: Physicians working in clinics had less knowledge of advance care planning, less supportive attitudes, and less likely to practice it. Knowledge, attitudes and practice also varied by gender and specialty. Interventions should target physicians working in clinics.

Japanese Local Governments' Dissemination Activities for Advance Care Planning: A Descriptive Analysis of a Nationwide Survey during the COVID-19 Pandemic.

This study aims to compare the awareness-raising activities between municipalities with and without focused anti-infection measures during the 2019 coronavirus disease (COVID-19) pandemic. Descriptive analysis was conducted using a nationwide self-administered questionnaire survey on municipalities' activities for residents and for healthcare providers and care workers (HCPs) in October 2022 in Japan. This study included 433 municipalities that had conducted awareness-raising activities before 2019 Fiscal Year. Workshops for residents were conducted in 85.2% of the municipalities, and they were more likely to be conducted in areas with focused anti-infection measures than those without measures (86.8% vs. 75.4%). Additionally, 85.9% of the municipalities were impacted by the pandemic; 50.1% canceled workshops, while 26.0% switched to a web-based style. Activities for HCPs were conducted in 55.2-63.7% of the municipalities, and they were more likely to be conducted in areas with focused anti-infection measures. A total of 50.6-62.1% of the municipalities changed their workshops for HCPs to a web-based style. Comparisons between areas with and without focused anti-infection measures indicated that the percentages of those impacted for all activities were not significantly different. In conclusion, awareness-raising activities in municipalities were conducted with new methods during the COVID-19 pandemic. Using information technology is essential to further promote such activities for residents.

Association between advanced care planning and emergency department visits: A systematic review.

BACKGROUND: Advance care planning can help provide optimal medical care according to a patient's wishes as a part of patient-centered discussions on end-of-life care. This can prevent undesired transfers to emergency departments. However, the effects of advance care planning on emergency department visits and ambulance calls in various settings or specific conditions remain unclear. AIM: To evaluate whether advanced care planning affected the frequency of emergency department visits and ambulance calls. DESIGN: Systematic review. This study was registered in PROSPERO (CRD42022340109). We assessed risk of bias using RoB 2.0, ROBINS-I, and ROBINS-E. DATA SOURCES: We searched the PubMed, Cochrane CENTRAL, and EMBASE databases from their inception until September 22, 2022 for studies comparing patients with and without advanced care planning and reported the frequency of emergency department visits and ambulance calls as outcomes. RESULTS: Eight studies were included. Regarding settings, two studies on patients in nursing homes showed that advanced care planning significantly reduced the frequency of emergency department visits and ambulance calls. However, two studies involving several medical care facilities reported inconclusive results. Regarding patient disease, a study on patients with depression or dementia showed that advanced care planning significantly reduced emergency department visits; in contrast, two studies on patients with severe respiratory diseases and serious illnesses showed no significant reduction. Seven studies showed a high risk of bias. CONCLUSIONS: Advanced care planning may lead to reduced emergency department visits and ambulance calls among nursing home residents and patients with depression or dementia. Further research is warranted to identify the effectiveness of advanced care planning in specific settings and diseases.

Pulse Methylprednisolone Versus Dexamethasone in COVID-19: A Multicenter Cohort Study.

Although pulse (high-dose) methylprednisolone therapy can hypothetically control immune system flare-ups effectively, the clinical benefit of pulse methylprednisolone compared with dexamethasone in COVID-19 remains inconclusive. OBJECTIVES: To compare pulse methylprednisolone to dexamethasone as a COVID-19 treatment. DESIGN SETTING AND PARTICIPANTS: Using a Japanese multicenter database, we identified adult patients admitted for COVID-19 and discharged between January 2020 and December 2021 treated with pulse methylprednisolone (250, 500, or 1,000 mg/d) or IV dexamethasone (≥ 6 mg/d) at admission day 0 or 1. Main Outcomes and Measures: The primary outcome was in-hospital mortality. Secondary outcomes were 30-day mortality, new ICU admission, insulin initiation, fungal infection, and readmission. Multivariable logistic regression was conducted to differentiate the dose of pulse methylprednisolone (250, 500, or 1,000 mg/d). Additionally, subgroup analyses by characteristics such as the need for invasive mechanical ventilation (IMV) were also conducted. RESULTS: A total of 7,519, 197, 399, and 1,046 patients received dexamethasone, 250, 500, and 1,000 mg/d of methylprednisolone, respectively. The crude in-hospital mortality was 9.3% (702/7,519), 8.6% (17/197), 17.0% (68/399), and 16.2% (169/1,046) for the different doses, respectively. The adjusted odds ratio (95% CI) was 1.26 (0.69-2.29), 1.48 (1.07-2.04), and 1.75 (1.40-2.19) in patients starting 250, 500, and 1,000 mg/d of methylprednisolone, respectively, compared with those starting dexamethasone. In subgroup analyses, the adjusted odds ratio of in-hospital mortality was 0.78 (0.25-2.47), 1.12 (0.55-2.27), and 1.04 (0.68-1.57) in 250, 500, and 1,000 mg/d of methylprednisolone, respectively, among patients with IMV, whereas the adjusted odds ratio was 1.54 (0.77-3.08), 1.62 (1.13-2.34), and 2.14 (1.64-2.80) among patients without IMV. CONCLUSIONS AND RELEVANCE: Higher doses of pulse methylprednisolone (500 or 1,000 mg/d) may be associated with worse COVID-19 outcomes when compared with dexamethasone, especially in patients not on IMV.

Association between types of home healthcare and emergency house calls, hospitalization, and end-of-life care in Japan.

BACKGROUND: To meet the increasing demand for home healthcare in Japan, as part of the national healthcare system, home care support clinics/hospitals (HCSCs) and enhanced HCSCs were introduced in 2006 and 2012 respectively. This study aimed to evaluate whether HCSCs has succeeded in providing 24-h home care services through the end of life. METHODS: A retrospective cohort study was conducted using the national database in Japan. Participants were ≥ 65 years of age, had newly started regular home visits between July 2014 and September 2015, and used general clinics, conventional HCSCs, or enhanced HCSCs. Each patient was followed up for 6 months after the first visit. The outcome measures were (i) emergency house call(s), (ii) hospitalization(s), and (iii) end-of-life care defined as in-home death. Multivariable logistic regression analyses were performed for statistical analysis. RESULTS: The analysis included 160,674 patients, including 13,477, 64,616, and 82,581 patients receiving regular home visits by general clinics, conventional HCSCs, and enhanced HCSCs respectively. Compared to general clinics, the use of conventional and enhanced HCSCs was associated with an increased likelihood of emergency house calls (adjusted odds ratio [aOR] and 95% confidence intervals [CIs] of 1.62 [1.56-1.69] and 1.86 [1.79-1.93], respectively) and a decreased likelihood of hospitalizations (aOR [95% CIs] of 0.86 [0.82-0.90] and 0.88 [0.84-0.92] respectively). Among 39,082 patients who died during the follow-up period, conventional and enhanced HCSCs had more in-home deaths (aOR [95% CIs] of 1.46 [1.33-1.59] and 1.60 [1.46-1.74], respectively) compared to general clinics. CONCLUSIONS: HCSCs (especially enhanced HCSCs) provided more emergency house calls, reduced hospitalization, and enabled expected deaths at home, suggesting that further promotion of HCSCs (especially enhanced HSCSs) would be advantageous.

Evaluation of enhanced home care support clinics regarding emergency home visits, hospitalization, and end-of-life care: a retrospective cohort study in a city of Japan.

BACKGROUND: To meet the increasing demand for home healthcare in Japan as the population ages, home care support clinics/hospitals (HCSCs) and enhanced HCSCs were introduced in 2006 and 2012, respectively. This study aimed to evaluate whether enhanced HCSCs fulfilled the expected role in home healthcare. METHODS: We conducted a retrospective cohort study using linked medical and long-term care claims data from a municipality in Japan. Participants were ≥ 65 years of age, had newly started regular home visits between July 2014 and March 2018, and used either conventional or enhanced HCSCs. Patients were followed up for one year after they started regular home visits or until the month following the end of the regular home visits if they ended within one year. The outcome measures were (i) emergency home visits at all hours and on nights and holidays at least once, respectively, (ii) hospitalization at least once, and (iii) end-of-life care, which was evaluated based on the place of death and whether a physician was present at the time of in-home death. Multivariable logistic regression analyses were conducted for the outcomes of emergency home visits and hospitalizations. RESULTS: The analysis included 802 patients, including 405 patients in enhanced HCSCs and 397 patients in conventional HCSCs. Enhanced HCSCs had more emergency home visits at all hours than conventional HCSCs (65.7% vs. 49.1%; adjusted odds ratio 1.70, 95% CI [1.26-2.28]), more emergency home visits on nights and holidays (33.6% vs. 16.7%; 2.20 [1.55-3.13]), and fewer hospitalizations (21.5% vs. 32.2%; 0.55 [0.39-0.76]). During the follow-up period, 229 patients (152 patients in enhanced HCSCs and 77 patients in HCSCs) died. Deaths at home were significantly more common in enhanced HCSCs than in conventional HCSCs (80.9% vs. 64.9%; p < .001), and physician-attended deaths among those who died at home were also significantly more common in enhanced HCSCs (99.2% vs. 78.0%; p < .001). CONCLUSIONS: This study confirms that enhanced HCSCs are more likely to be able to handle emergency home visits and end-of-life care at home, which are important medical functions in home healthcare. Further promotion of enhanced HCSCs would be advantageous.

Comparison of Postextubation Complications Between Positive-Pressure and Suctioning Techniques: A Systematic Review.

BACKGROUND: Several studies have investigated postextubation complications of the positive-pressure and suctioning techniques; however, these studies yielded inconsistent results. Therefore, in this systematic review, we aimed to assess and compare the risk of complications between these techniques after extubation. METHODS: This study was registered with the International Prospective Register of Systematic Reviews (CRD42021272068). We searched for randomized controlled trials (RCT) or observational studies that compared positive-pressure and suctioning extubation techniques in medical literature databases. Our search was conducted from the databases' inception to July 7, 2022. The included studies were assessed for quality by using a risk of bias tool. RESULTS: Six RCTs and 1 non-randomized controlled study were included in this systematic review (N = 1,575 subjects), wherein the positive-pressure and suctioning techniques were applied to 762 and 813 subjects, respectively. Three studies were conducted in operating rooms, and 4 studies were conducted in ICUs. Five studies were conducted among adults, and 2 studies were conducted among children or neonates. All the studies except 1 RCT showed that the positive-pressure technique tended to have a lower but not statistically different risk of complications, including desaturation, airway obstruction, pneumonia, aspiration, atelectasis, and re-intubation, than the suctioning technique. Three of the 6 RCTs were determined to have a high risk of bias and the 1 non-randomized controlled study was determined to have a serious risk of bias. CONCLUSIONS: The positive-pressure technique tended to have a lower risk of complications than the suctioning technique. Further high-quality studies are warranted.

The Effect of Home Care Support Clinics on Hospital Readmission in Heart Failure Patients in Japan.

BACKGROUND: Heart failure is common and is associated with high rates of hospitalization. Home care support clinics/hospitals (HCSCs) and enhanced HCSCs were introduced in Japan in 2006 and 2012, respectively. OBJECTIVE: This study aimed to examine the effect of post-discharge care by conventional or enhanced HCSCs on readmission, compared with general clinics. DESIGN: Retrospective cohort study using the Japanese nationwide health insurance claims database. PARTICIPANTS: Participants were ≥65 years of age, admitted for heart failure and discharged between July 2014 and August 2015 and received a home visit within a month following the discharge (n=12,393). MAIN MEASURES: The exposure was the type of medical facility that provides post-discharge home healthcare: general clinics, conventional HCSCs, and enhanced HCSCs. The primary outcome was all-cause readmission for 6 months after the first visit; the incidence of emergency house calls was a secondary outcome. We used a competing risk regression using the Fine and Gray method, in which death was regarded as a competing event. KEY RESULTS: At 6 months, readmissions were lower in conventional (38%) or enhanced HCSCs (38%) than general clinics (43%). The adjusted subdistribution hazard ratio (sHR) of readmission was 0.87 (95% CI: 0.78-0.96) for conventional and 0.86 (0.78-0.96) for enhanced HCSCs. Emergency house calls increased with conventional (sHR: 1.77, 95% CI:1.57-2.00) and enhanced HCSCs (sHR: 1.93, 95% CI: 1.71-2.17). CONCLUSIONS: Older Japanese patients with heart failure receiving post-discharge home healthcare by conventional or enhanced HCSCs had lower readmission rates, possibly due to compensation with more emergency house calls. Conventional and enhanced HCSCs may be effective in reducing the risk of rehospitalization. Further studies are necessary to confirm the medical functions performed by HCSCs.

Survival From Pediatric Out-of-Hospital Cardiac Arrest During Nights and Weekends: An Updated Japanese Registry-Based Study.

Background: Disparities in survival after pediatric out-of-hospital cardiac arrest (OHCA) between on-duty hours and off-duty hours have previously been reported. However, little is known about whether these disparities have remained in recent years. Objectives: This study aimed to examine the association of outcomes after pediatric OHCA with time of day and day of week. Methods: This observational study analyzed the Japanese government-led nationwide population-based registry data of OHCA patients. Pediatric (<18 years) patients who experienced OHCA between 2012 and 2017 were included. A multivariable logistic regression model was used to examine the association of both time of day (day/evening vs night) and day of week (weekday vs weekend) with outcomes after OHCA. The primary outcome was 1-month survival. Results: A total of 7,106 patients (mean age, 5.7 ± 6.5 years; 60.9% male) were included. 1,897 events (26.7%) occurred during night hours, and 2,096 events (29.5%) occurred on weekends. Overall, 1,192 (16.8%) survived 1 month after OHCA. After adjusting for potential confounders, 1-month survival during day/evening (1,047/5,209 [20.1%]) was significantly higher than that at night (145/1,897 [7.6%]) (adjusted odds ratio: 2.31 [95% CI: 1.87-2.86]), whereas there was no significant difference in 1-month survival between weekdays (845/5,010 [16.9%]) and weekends (347/2,096 [16.6%]) (adjusted odds ratio: 1.04 [95% CI: 0.88-1.23]). Conclusions: One-month survival after pediatric OHCA remained significantly lower during night than during day/evening, although disparities in 1-month survival between weekdays and weekends have been eliminated over time. Further studies are warranted to investigate the mechanisms underlying decreased survival at night.

Machine learning models predicting undertriage in telephone triage.

BACKGROUND: Undertriaged patients have worse outcomes than appropriately triaged patients. Machine learning provides better triage prediction than conventional triage in emergency departments, but no machine learning-based undertriage prediction models have yet been developed for prehospital telephone triage. We developed and validated machine learning models for telephone triage. MATERIALS AND METHODS: We conducted a retrospective cohort study with the largest after-hour house-call (AHHC) service dataset in Japan. Participants were ≥16 years and used the AHHC service between 1 November 2018 and 31 January 2021. We developed five prediction models based on support vector machine (SVM), lasso regression (LR), random forest (RF), gradient-boosted decision tree (XGB), and deep neural network (DNN). The primary outcome was undertriage, and predictors were telephone triage level and routinely available telephone-based data, including age, sex, 80 chief complaint categories and 10 comorbidities. We measured the area under the receiver operating characteristic curve (AUROC) for all the models. RESULTS: We identified 15,442 eligible patients (age: 38.4 ± 16.6, male: 57.2%), including 298 (1.9%; age: 58.2 ± 23.9, male: 55.0%) undertriaged patients. RF and XGB outperformed the other models, with the AUROC values (95% confidence interval; 95% CI) of the SVM, LR, RF, XGB and DNN for undertriage being 0.62 (0.55-0.69), 0.79 (0.74-0.83), 0.81 (0.76-0.86), 0.80 (0.75-0.84) and 0.77 (0.73-0.82), respectively. CONCLUSIONS: We found that RF and XGB outperformed other models. Our findings suggest that machine learning models can facilitate the early detection of undertriage and early intervention to yield substantially improved patient outcomes.KEY MESSAGESUndertriaged patients experience worse outcomes than appropriately triaged patients; thus, we developed machine learning models for predicting undertriage in the prehospital setting. In addition, we identified the predictors of risk factors associated with undertriage.Random forest and gradient-boosted decision tree models demonstrated better prediction performance, and the models identified the risk factors associated with undertriage.Machine learning models aid in the early detection of undertriage, leading to significantly improved patient outcomes and identifying undertriage-associated risk factors, including chief complaint categories, could help prioritize conventional telephone triage protocol revision.

Angioleiomyoma of the right forefoot.

We describe a rare case of angioleiomyoma in the foot of a middle-aged man.