Challenges and Solutions in translating sepsis guidelines into practice in resource-limited settings

TRIM11 modulates sepsis progression by promoting HOXB9 ubiquitination and inducing the NF-κB signaling pathway

INTRODUCTION

The purpose of this investigation was to elucidate the functions of TRIM11 and HOXB9 in the pathogenesis of sepsis, focusing on their influence on inflammation, apoptosis, and the NF-κB signaling pathway.

MATERIAL AND METHODS

Through public databases, TRIM family genes related to sepsis were screened, and TRIM11 was evaluated as a sepsis biomarker through ROC analysis. The UbiBrowser database screened TRIM11 downstream genes and identified HOXB9 as an essential target. THP-1 cells were stimulated by Lipopolysaccharide (LPS) to induce inflammation and simulate sepsis. Flow cytometry, Enzyme-linked immunosorbent assay, and Western blot experiments were used to detect changes in cell apoptosis rate, apoptosis-related proteins, and inflammatory cytokines after TRIM11 and HOXB9 were silenced. Additionally, we investigated the ubiquitination interaction between TRIM11 and HOXB9 and their effects on the NF-κB signaling pathway.

RESULTS

Our findings demonstrated that sepsis patient samples had elevated levels of TRIM11 expression and had high clinical diagnostic value. Functional experiments showed that the knockdown of TRIM11 significantly alleviated LPS-induced THP-1 cell apoptosis and inflammation, while the knockdown of HOXB9 did the opposite. The simultaneous downregulation of TRIM11 and HOXB9 balanced these responses, suggesting they play a key role in regulating sepsis-associated inflammation and apoptosis. In addition, TRIM11 regulated the NF-κB signaling pathway by reversing HOXB9-induced activation through ubiquitination, suggesting a novel regulatory mechanism in the pathogenesis of sepsis.

CONCLUSIONS

Our findings highlight the interaction between TRIM11 and HOXB9 in regulating inflammation and apoptosis pathways, providing new insights into sepsis treatment.

Proposed Core Outcomes After Neonatal Sepsis: A Consensus Statement

Importance

Sepsis is one of the leading causes of neonatal mortality. There is heterogeneity in the outcomes measured and reported in studies of neonatal sepsis. To address this challenge, a core outcome set (COS) for research on neonatal sepsis was needed.

Objective

The Neonatal Sepsis Core Outcome Set (NESCOS) project aims to develop a COS for research evaluating the effectiveness of neonatal sepsis treatments.

Evidence Review

For this consensus statement, the research team obtained ethics approval and used a 4-stage process: (1) a systematic review of qualitative studies, (2) a real-time Delphi (RTD) survey to identify important outcomes for consensus meetings, (3) consensus meetings to finalize the COS, and (4) dissemination of the findings. The study was conducted from May 2, 2022, to October 27, 2023. The steering group and project participants consisted of health care workers, researchers, academics, parents, and parent representatives from low-, middle-, and high-income countries. An RTD survey and consensus meetings were conducted, with measures including a 9-point Likert scale rating (where 1 indicated not at all important and 9 indicated critically important) for outcome importance and a minimum 80% agreement threshold among stakeholders for final COS inclusion. The systematic review identified 19 outcomes, which were combined with outcomes from previous systematic reviews of clinical trials.

Findings

The RTD survey included 306 participants, leading to the identification of 55 outcomes for further discussion in consensus meetings. The finalized COS comprises 9 outcomes: all-cause mortality, need for mechanical ventilation, brain injury on imaging, neurologic status at discharge, escalation of antimicrobial therapy, central nervous system infections, multiorgan dysfunction, neurodevelopmental impairment, and quality of life of parents.

Conclusions and Relevance

This consensus-based COS for research on neonatal sepsis treatments will help standardize the outcomes measured and reported, enhancing the comparability of research findings. Future efforts should focus on establishing standardized and reliable methods for measuring these outcomes.

Combining quality improvement and critical care training: Evaluating an ICU CPR training programme quality improvement initiative at the National Hospital in Tanzania

BACKGROUND

The United Republic of Tanzania has had a 41.4% mortality rate in the intensive care unit. In Tanzania, the Ministry of Health and Social Welfare has implemented quality improvement (QI), yet the Tanzanian health sector continues to face resource constraints, unsustainable projects and gaps in knowledge and skills, contributing to unacceptably high mortality rates for Tanzanian patients. This research aims to determine if a Critical Care Training Program incorporating QI concepts can improve technical competence and self-efficacy of providers in a critical care setting in Tanzania.

METHODS

A 2-day Critical Care Training Program was developed for providers. It included the following modules: vital signs directed therapy (VSDT), cardiopulmonary and brain resuscitation (CPBR), blood glucose monitoring, introduction to critical care concepts and the QI concept of change management. For analysis, data were collected from pretests and post-tests and reported in REDCap. Descriptive statistics and paired t-tests were performed (alpha=0.05).

RESULTS

A total of 77 nurses and three providers attended the training. The overall score changes among participants for CPBR and VSDT were significant (p<0.001). Six out of 10 questions in CPBR demonstrated significant improved change (p<0.001). All questions in the VSDT training showed significant improvement (p<0.001). Based on hospital guidelines, 63 (95.5%) passed the CPBR evaluation and 62 (95.2%) passed VSDT.

CONCLUSION

A pre/post analysis demonstrated improvement in knowledge, skills and increased confidence towards emergencies. This study suggests a Critical Care Training Program significantly improves the knowledge among providers and that QI impacts culture of change. This research exemplifies a systematic approach to strengthening capacity of critical care delivery in limited resource settings, with implications for further innovation in other low- and middle-income countries.

Caregivers' and nurses' perceptions of the Smart Discharges Program for children with sepsis in Uganda: A qualitative study

Sepsis arises when the body's response to an infection injures its own tissues and organs. Among children hospitalized with suspected sepsis in low-income country settings, mortality rates following discharge are high, similar to mortality rates in hospital. The Smart Discharges Program uses a mobile health (mHealth) platform to identify children at high risk of post-discharge mortality to receive enhanced post-discharge care. This study sought to explore the perceptions and experiences of the caregivers and nurses of children enrolled into the Smart Discharges Program and the program's effect on post-discharge care. We conducted an exploratory qualitative study, which included in-person focus group discussions (FGDs) with 30 caregivers of pediatric patients enrolled in the Smart Discharges Program and individual, semi-structured interviews with eight Smart Discharges Program nurses. The study was carried out at four hospitals in Uganda in 2019. Following thematic analysis, three key themes pertaining to the Smart Discharges program were identified: (1) Facilitators and barriers to follow-up care after discharge; (2) Changed caregiver behavior following discharge; and (3) Increased involvement of male caregivers. Facilitators included telephone/text message reminders, positive nurse-patient relationship, and the complementary aspects of the program. Barriers included resource constraints and negative experiences during post-discharge care seeking. With regards to behavior, when provided with relevant and well-timed information, caregivers reported increased knowledge about post-discharge care and improvements in their ability to care for their child. Enrolment in the Smart Discharges Program also increased male caregiver involvement, increased provision of resources and improved communication within the family and with the healthcare system. The Smart Discharges approach is an impactful strategy to improve pediatric post-discharge care, and similar approaches should be considered to improve the hospital to home transition in similar low-income country settings.

Ethyl palmitate ameliorates lethal endotoxemia by inducing hepatic fetuin-A secretion: an in vivo and in vitro experiment

Background

Ethyl palmitate (EP) is known to promote hepatic fetuin-A production and modulate inflammatory responses, but its potential role in lethal endotoxemia and sepsis remains unclear. This study investigates the plasma fetuin-A levels and further evaluates the impact of hepatic fetuin-A induced by EP on systemic inflammation and macrophage polarization in lethal endotoxemia and sepsis.

Methods

Blood samples from 55 sepsis patients and 18 non-septic controls with similar age and sex ratio were collected to perform proteomic analyses and identify significantly different proteins. Serum fetuin-A levels in lipopolysaccharide (LPS) induced endotoxemia mice were assayed by enzyme-linked immunosorbent assay (ELISA). The mouse hepatocyte cell (AML-12) was exposed to different concentrations of EP. In vivo experiments were conducted in which adult male C57BL/6J mice were given EP with or without intraperitoneal LPS. Fetuin-A was determined via western blot and immunohistochemical staining. Survival rates, lung and liver injury and levels of pro-inflammatory cytokines were also monitored and assessed using histology, real-time quantitative polymerase chain reaction (RT-qPCR) and ELISA. Additionally, the proportion of macrophages and M1/M2 subtypes in the lung and liver tissues were evaluated by flow cytometry.

Results

Our proteomic results revealed that the plasma fetuin-A levels were significantly decreased in sepsis patients compared with non-septic controls. Similarly, the serum fetuin-A levels were also reduced in endotoxemia mice compared with the control group. EP effectively promoted the production of fetuin-A in AML-12 cells and murine liver tissues. Subsequently, activation of fetuin-A by EP dramatically reduced LPS-induced murine mortality, alleviated lung and liver injury, down-regulated pro-inflammatory mediators and macrophage infiltration. Furthermore, EP regulated macrophage polarization from the M1 (CD45+CD11b+F4/80+CD86+) to the M2 (CD45+CD11b+F4/80+CD206+) subtype in murine liver tissue.

Conclusions

EP-induced production of fetuin-A prevents sepsis and endotoxemia progression by promoting M2 polarization of macrophages.

Susceptibility to childhood sepsis, contemporary management, and future directions

Sepsis disproportionally affects children across all health-care settings and is one of the leading causes of morbidity and mortality in neonatal and paediatric age groups. As shown in the first paper in this Series, the age-specific incidence of sepsis is highest during the first years of life, before approaching adult incidence rates during adolescence. In the second paper in this Series, we focus on the unique susceptibility of paediatric patients to sepsis and how the underlying dysregulated host response relates to developmental aspects of children's immune system, genetic, perinatal, and environmental factors, and comorbidities and socioeconomic determinants of health, which often differ between children and adults. State-of-the-art clinical management of paediatric sepsis is organised around three treatment pillars-diagnosis, early resuscitation, and titration of advanced care-and we examine available treatment guidelines and the limitations of their supporting evidence. Serious evidence gaps remain in key areas of paediatric sepsis care, especially surrounding recognition, common interventions, and survivor support, and to this end we offer a research roadmap for the next decade that could accelerate targeted diagnostics and personalised use of immunomodulation. However, improving outcomes for children with sepsis relies fundamentally on systematic quality improvement in both recognition and treatment, which is the theme of the third paper in this Series. Digital health, as shown in the fourth and final paper of this Series, holds promising potential in breaking down the barriers that hinder progress in paediatric sepsis care and, ultimately, global child health.

Comparison of clinical outcomes between culture-positive and culture-negative sepsis or septic shock pediatrics patients: A systematic review and meta-analysis

Introduction

Comparatively, culture-negative septic shock or septic shock (CNSS) is frequently observed among pediatric patients, contrasting with the more distinct clinical profile and prognosis of post-surgical septic shock (CPSS). However, limited data are available on the outcomes of CNSS in comparison to CPSS in pediatric patients. This study seeks to conduct a systematic review and meta-analysis of existing literature to comprehensively compare outcomes between CNSS and CPSS in pediatric patients.

Methods

Electronic databases, such as PubMed, CINAHIL, and EMBASE, were systematically searched up to January 15, 2024, using predefined terms. We included all studies that compared outcomes between CPSS and CNSS in pediatric patients. The primary outcome evaluated in this study was all-cause mortality. Secondary outcomes included length of hospitalization, length of intensive care unit (ICU) stay, and duration of mechanical ventilation (all measured in days).

Results

Among the initially identified 1328 articles, six studies involving 2511 pediatric patients met the inclusion criteria and were part of this meta-analysis study. The pooled analysis revealed no significant differences in all-cause mortality (odds ratio: 1.26, 95% confidence interval (CI): 0.93 to 1.70, p = 0.14), length of ICU stay (mean difference (MD): 0.18, 95% CI: -0.33 to 0.68, p = 0.50), and duration of mechanical ventilation (MD: -0.74, 95% CI: -2.46 to 0.98, p-value = 0.40) between CPSS and CNSS. However, the length of hospital stay was longer in CPSS compared to CNSS (MD: 7.38, 95% CI: 5.50 to 9.27, p < 0.0001).

Conclusion

Approximately 26.56% of pediatric septic cases were culture-positive. There were no statistically significant differences in mortality, ICU stay, and duration of mechanical ventilation between CPSS and CNSS. However, hospital stay was prolonged by more than 7 days in culture-positive cases. Further multicenter studies are warranted to validate these findings and explore additional presentation characteristics.

Integrating Routine Hematological and Extended Inflammatory Parameters as a Novel Approach for Timely Diagnosis and Prognosis in Sepsis Management

Sepsis is one of the major causes of morbidity and mortality in hospitals, especially in low- and middle-income countries, and represents a challenge to health care providers to carry out early detection, and accurate diagnosis and prognosis with cost-effective diagnostic tools. An observational prospective study was conducted from December 2021 to December 2022 to investigate the extended inflammatory parameters (EIPs) for sepsis management and analyze the survival of septic patients in the emergency unit, intensive care unit (ICU) and inpatient ward. Patients suspected of having sepsis underwent a sequential organ failure assessment (SOFA) evaluation and had blood drawn for complete blood counts (CBCs). Significant changes were observed in various CBC parameters and EIPs, and the sepsis group was followed up with for 30-day mortality. The study highlighted a significant difference yet strong discriminatory power to differentiate sepsis with an AUC of 0.924 against the non-sepsis group and an AUC of 0.991 against the healthy control group using combination of white blood cells and EIPs. Furthermore, the study showed good predictive ability for 30-day mortality with a hazard ratio of 2.311. In summary, this study provides evidence that the utilization of EIPs may be valuable in diagnosing and predicting patient outcomes, and thus will be beneficial for sepsis management in the hospital.

Prognostic Accuracy of Screening Tools for Clinical Deterioration in Adults With Suspected Sepsis in Northeastern Thailand: A Cohort Validation Study

Background

We sought to assess the performance of commonly used clinical scoring systems to predict imminent clinical deterioration in patients hospitalized with suspected infection in rural Thailand.

Methods

Patients with suspected infection were prospectively enrolled within 24 hours of admission to a referral hospital in northeastern Thailand between 2013 and 2017. In patients not requiring intensive medical interventions, multiple enrollment scores were calculated including the National Early Warning Score (NEWS), the Modified Early Warning Score, Between the Flags, and the quick Sequential Organ Failure Assessment score. Scores were tested for predictive accuracy of clinical deterioration, defined as a new requirement of mechanical ventilation, vasoactive medications, intensive care unit admission, and/or death approximately 1 day after enrollment. The association of each score with clinical deterioration was evaluated by means of logistic regression, and discrimination was assessed by generating area under the receiver operating characteristic curve.

Results

Of 4989 enrolled patients, 2680 met criteria for secondary analysis, and 100 of 2680 (4%) experienced clinical deterioration within 1 day after enrollment. NEWS had the highest discrimination for predicting clinical deterioration (area under the receiver operating characteristic curve, 0.78 [95% confidence interval, .74-.83]) compared with the Modified Early Warning Score (0.67 [.63-.73]; P < .001), quick Sequential Organ Failure Assessment (0.65 [.60-.70]; P < .001), and Between the Flags (0.69 [.64-.75]; P < .001). NEWS ≥5 yielded optimal sensitivity and specificity for clinical deterioration prediction.

Conclusions

In patients hospitalized with suspected infection in a resource-limited setting in Southeast Asia, NEWS can identify patients at risk of imminent clinical deterioration with greater accuracy than other clinical scoring systems.

Inflammaging in Multidrug-Resistant Sepsis of Geriatric ICU Patients and Healthcare Challenges

Multidrug-resistant sepsis (MDR) is a pressing concern in intensive care unit (ICU) settings, specifically among geriatric patients who experience age-related immune system changes and comorbidities. The aim of this review is to explore the clinical impact of MDR sepsis in geriatric ICU patients and shed light on healthcare challenges associated with its management. We conducted a comprehensive literature search using the National Center for Biotechnology Information (NCBI) and Google Scholar search engines. Our search incorporated keywords such as "multidrug-resistant sepsis" OR "MDR sepsis", "geriatric ICU patients" OR "elderly ICU patients", and "complications", "healthcare burdens", "diagnostic challenges", and "healthcare challenges" associated with MDR sepsis in "ICU patients" and "geriatric/elderly ICU patients". This review explores the specific risk factors contributing to MDR sepsis, the complexities of diagnostic challenges, and the healthcare burden faced by elderly ICU patients. Notably, the elderly population bears a higher burden of MDR sepsis (57.5%), influenced by various factors, including comorbidities, immunosuppression, age-related immune changes, and resource-limited ICU settings. Furthermore, sepsis imposes a significant economic burden on healthcare systems, with annual costs exceeding $27 billion in the USA. These findings underscore the urgency of addressing MDR sepsis in geriatric ICU patients and the need for tailored interventions to improve outcomes and reduce healthcare costs.

Maternal high-care and intensive care units in low- and middle-income countries

Despite notable advancements in minimizing maternal mortality during recent decades, a pronounced disparity persists between high-income nations and low-to middle-income countries (LMICs), particularly in intensive and high-care for pregnant and postpartum individuals. This divergence is multifactorial and influenced by factors such as the availability and accessibility of community-based maternity healthcare services, the quality of preventive care, timeliness in accessing hospital or critical care, resource availability, and facilities equipped for advanced interventions. Complications from various conditions, including human immunodeficiency virus (HIV), unsafe abortions, puerperal sepsis, and, notably, the COVID-19 pandemic, intensify the complexity of these challenges. In confronting these challenges and deliberating on potential solutions, we hope to contribute to the ongoing discourse around maternal healthcare in LMICs, ultimately striving toward an equitable health landscape where every mother, regardless of geographic location or socioeconomic status, has access to the care they require and deserve. The use of traditional and innovative methods to achieve adequate knowledge, appropriate skills, location of applicable resources, and strong leadership is essential. By implementing and enhancing these strategies, limited-resource settings can optimize the available resources to promptly recognize the severity of illness in obstetric individuals, ensuring timely and appropriate interventions for mothers and children. Additionally, strategies that could significantly improve the situation include increased investment in healthcare infrastructure, effective resource management, enhanced supply chain efficiency, and the development and use of low-cost, high-quality equipment. Through targeted investments, innovations, efficient resource management, and international cooperation, it is possible to ensure that every maternal high-care and ICU unit, regardless of geographical location or socioeconomic status, has access to high-quality critical care to provide life-saving care.

Multidrug-Resistant Sepsis: A Critical Healthcare Challenge

Sepsis globally accounts for an alarming annual toll of 48.9 million cases, resulting in 11 million deaths, and inflicts an economic burden of approximately USD 38 billion on the United States healthcare system. The rise of multidrug-resistant organisms (MDROs) has elevated the urgency surrounding the management of multidrug-resistant (MDR) sepsis, evolving into a critical global health concern. This review aims to provide a comprehensive overview of the current epidemiology of (MDR) sepsis and its associated healthcare challenges, particularly in critically ill hospitalized patients. Highlighted findings demonstrated the complex nature of (MDR) sepsis pathophysiology and the resulting immune responses, which significantly hinder sepsis treatment. Studies also revealed that aging, antibiotic overuse or abuse, inadequate empiric antibiotic therapy, and underlying comorbidities contribute significantly to recurrent sepsis, thereby leading to septic shock, multi-organ failure, and ultimately immune paralysis, which all contribute to high mortality rates among sepsis patients. Moreover, studies confirmed a correlation between elevated readmission rates and an increased risk of cognitive and organ dysfunction among sepsis patients, amplifying hospital-associated costs. To mitigate the impact of sepsis burden, researchers have directed their efforts towards innovative diagnostic methods like point-of-care testing (POCT) devices for rapid, accurate, and particularly bedside detection of sepsis; however, these methods are currently limited to detecting only a few resistance biomarkers, thus warranting further exploration. Numerous interventions have also been introduced to treat MDR sepsis, including combination therapy with antibiotics from two different classes and precision therapy, which involves personalized treatment strategies tailored to individual needs. Finally, addressing MDR-associated healthcare challenges at regional levels based on local pathogen resistance patterns emerges as a critical strategy for effective sepsis treatment and minimizing adverse effects.

Challenges of Antibiotic Formulations and Administration in the Treatment of Bloodstream Infections in Children Under Five Admitted to Kisantu Hospital, Democratic Republic of Congo

Severe bacterial infections in children need prompt, appropriate antibiotic treatment. We report challenges observed within a prospective, cohort study on antibiotic efficacy in non-typhi Salmonella bloodstream infection (NCT04850677) in Kisantu district hospital (Democratic Republic of Congo). Children (aged > 28 days to < 5 years) admitted with suspected bloodstream infection (August 1, 2021 through July 31, 2022) were enrolled and followed until day 3 or discharge for non-typhi Salmonella patients. Antibiotics were administered to 98.4% (1,838/1,867) of children, accounting for 2,296 antibiotic regimens (95.7% intravenous, 4.3% oral). Only 78.3% and 61.8% of children were, respectively, prescribed and administered antibiotics on the admission day. At least one dose was not administered in 3.6% of children, mostly because of mismatch of the four times daily cefotaxime schedule with the twice-daily administration rounds. Inappropriate intravenous administration practices included multidose use, air-venting, and direct injection instead of perfusion. There was inaccurate aliquoting in 18.0% (32/178) of intravenous ciprofloxacin regimens, and thus administered doses were > 16% below the intended dose. Dosing accuracy of oral suspensions was impaired by lack of instructions for reconstitution, volume indicators, and/or dosing devices. Adult-dose tablets were split without/beyond scoring lines in 84.4% (27/32) of tablets. Poor availability and affordability of age-appropriate oral formulations contributed to low proportions of intravenous-to-oral switch (33.3% (79/237) of non-typhi Salmonella patients). Other quality issues included poor packaging, nonhomogeneous suspensions, and unsafe water for reconstitution. In conclusion, poor antibiotic products (no age-appropriate formulations, poor quality and access), processes (delayed prescription/administration, missed doses), and practices (inaccurate doses, [bio]safety risks) must be urgently addressed to improve pediatric antibiotic treatment.

Coptisine attenuates sepsis lung injury by suppressing LPS-induced lung epithelial cell inflammation and apoptosis

OBJECTIVE

This study aimed to investigate the functioning and mechanism of coptisine in acute lung injury (ALI).

METHODS

Murine Lung Epithelial 12 (MLE-12) cells were stimulated with lipopolysaccharide (LPS) to construct an in vitro pulmonary injury model to study the functioning of coptisine in sepsis-induced ALI. The viability of MLE-12 cells was assessed by the cell counting kit-8 assay. The cytokine release of tumor necrosis factor-α (TNF-α), interleukin 6 (IL-6), and IL-1β was measured by enzyme-linked-immunosorbent serologic assay. The relative expression levels of TNF-α, IL-6, and IL-1β mRNA were examined by reverse transcription-quantitative polymerase chain reaction. The cell apoptosis of MLE-12 cells was determined by Annexin V/propidium iodide staining and analyzed by flow cytometry. The expressions of apoptosis-related proteins Bax and cleaved Caspase-3 were observed by Western blot analysis. The activation of nuclear factor kappa B (NF-κB) signaling pathway was discovered by the determination of phospho-p65, p65, phospho-nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor alpha (IκBα), and IκBα through Western blot analysis.

RESULTS

Coptisine treatment could significantly restore decrease in MLE-12 cell viability caused by LPS stimulation. The release of TNF-α, IL-6, and IL-1β was significantly inhibited by coptisine treatment. Coptisine treatment inhibited MLE-12 cell apoptosis induced by LPS, and also inhibited the expression levels of Bax and cleaved Caspase-3. Coptisine treatment along with LPS stimulation, significantly reduced the protein level of phospho-IκBα, increased the level of IκBα, and reduced phospho-p65-p65 ratio.

CONCLUSION

These results indicated that coptisine attenuated sepsis lung injury by suppressing lung epithelial cell inflammation and apoptosis through NF-κB pathway. Therefore, coptisine may have potential to treat sepsis-induced ALI.

A dosing strategy model of deep deterministic policy gradient algorithm for sepsis patients

BACKGROUND

A growing body of research suggests that the use of computerized decision support systems can better guide disease treatment and reduce the use of social and medical resources. Artificial intelligence (AI) technology is increasingly being used in medical decision-making systems to obtain optimal dosing combinations and improve the survival rate of sepsis patients. To meet the real-world requirements of medical applications and make the training model more robust, we replaced the core algorithm applied in an AI-based medical decision support system developed by research teams at the Massachusetts Institute of Technology (MIT) and IMPERIAL College London (ICL) with the deep deterministic policy gradient (DDPG) algorithm. The main objective of this study was to develop an AI-based medical decision-making system that makes decisions closer to those of professional human clinicians and effectively reduces the mortality rate of sepsis patients.

METHODS

We used the same public intensive care unit (ICU) dataset applied by the research teams at MIT and ICL, i.e., the Multiparameter Intelligent Monitoring in Intensive Care III (MIMIC-III) dataset, which contains information on the hospitalizations of 38,600 adult sepsis patients over the age of 15. We applied the DDPG algorithm as a strategy-based reinforcement learning approach to construct an AI-based medical decision-making system and analyzed the model results within a two-dimensional space to obtain the optimal dosing combination decision for sepsis patients.

RESULTS

The results show that when the clinician administered the exact same dose as that recommended by the AI model, the mortality of the patients reached the lowest rate at 11.59%. At the same time, according to the database, the baseline mortality rate of the patients was calculated as 15.7%. This indicates that the patient mortality rate when difference between the doses administered by clinicians and those determined by the AI model was zero was approximately 4.2% lower than the baseline patient mortality rate found in the dataset. The results also illustrate that when a clinician administered a different dose than that recommended by the AI model, the patient mortality rate increased, and the greater the difference in dose, the higher the patient mortality rate. Furthermore, compared with the medical decision-making system based on the Deep-Q Learning Network (DQN) algorithm developed by the research teams at MIT and ICL, the optimal dosing combination recommended by our model is closer to that given by professional clinicians. Specifically, the number of patient samples administered by clinicians with the exact same dose recommended by our AI model increased by 142.3% compared with the model based on the DQN algorithm, with a reduction in the patient mortality rate of 2.58%.

CONCLUSIONS

The treatment plan generated by our medical decision-making system based on the DDPG algorithm is closer to that of a professional human clinician with a lower mortality rate in hospitalized sepsis patients, which can better help human clinicians deal with complex conditional changes in sepsis patients in an ICU. Our proposed AI-based medical decision-making system has the potential to provide the best reference dosing combinations for additional drugs.

Diagnostic, Management, and Research Considerations for Pediatric Acute Respiratory Distress Syndrome in Resource-Limited Settings: From the Second Pediatric Acute Lung Injury Consensus Conference

OBJECTIVES

Diagnosis of pediatric acute respiratory distress syndrome (PARDS) in resource-limited settings (RLS) is challenging and remains poorly described. We conducted a review of the literature to optimize recognition of PARDS in RLS and to provide recommendations/statements for clinical practice and future research in these settings as part of the Second Pediatric Acute Lung Injury Consensus Conference (PALICC-2).

DATA SOURCES

MEDLINE (Ovid), Embase (Elsevier), and CINAHL Complete (EBSCOhost).

STUDY SELECTION

We included studies related to precipitating factors for PARDS, mechanical ventilation (MV), pulmonary and nonpulmonary ancillary treatments, and long-term outcomes in children who survive PARDS in RLS.

DATA EXTRACTION

Title/abstract review, full-text review, and data extraction using a standardized data collection form.

DATA SYNTHESIS

The Grading of Recommendations Assessment, Development, and Evaluation approach was used to identify and summarize evidence and develop recommendations. Seventy-seven studies were identified for full-text extraction. We were unable to identify any literature on which to base recommendations. We gained consensus on six clinical statements (good practice, definition, and policy) and five research statements. Clinicians should be aware of diseases and comorbidities, uncommon in most high-income settings, that predispose to the development of PARDS in RLS. Because of difficulties in recognizing PARDS and to avoid underdiagnosis, the PALICC-2 possible PARDS definition allows exclusion of imaging criteria when all other criteria are met, including noninvasive metrics of hypoxemia. The availability of MV support, regular MV training and education, as well as accessibility and costs of pulmonary and nonpulmonary ancillary therapies are other concerns related to management of PARDS in RLS. Data on long-term outcomes and feasibility of follow-up in PARDS survivors from RLS are also lacking.

CONCLUSIONS

To date, PARDS remains poorly described in RLS. Clinicians working in these settings should be aware of common precipitating factors for PARDS in their patients. Future studies utilizing the PALICC-2 definitions are urgently needed to describe the epidemiology, management, and outcomes of PARDS in RLS.

Artificial intelligence-driven wearable technologies for neonatal cardiorespiratory monitoring. Part 2: artificial intelligence

BACKGROUND

With the development of Artificial Intelligence (AI) techniques, smart health monitoring, particularly neonatal cardiorespiratory monitoring with wearable devices, is becoming more popular. To this end, it is crucial to investigate the trend of AI and wearable sensors being developed in this domain.

METHODS

We performed a review of papers published in IEEE Xplore, Scopus, and PubMed from the year 2000 onwards, to understand the use of AI for neonatal cardiorespiratory monitoring with wearable technologies. We reviewed the advances in AI development for this application and potential future directions. For this review, we assimilated machine learning (ML) algorithms developed for neonatal cardiorespiratory monitoring, designed a taxonomy, and categorised the methods based on their learning capabilities and performance.

RESULTS

For AI related to wearable technologies for neonatal cardio-respiratory monitoring, 63% of studies utilised traditional ML techniques and 35% utilised deep learning techniques, including 6% that applied transfer learning on pre-trained models.

CONCLUSIONS

A detailed review of AI methods for neonatal cardiorespiratory wearable sensors is presented along with their advantages and disadvantages. Hierarchical models and suggestions for future developments are highlighted to translate these AI technologies into patient benefit.

IMPACT

State-of-the-art review in artificial intelligence used for wearable neonatal cardiorespiratory monitoring. Taxonomy design for artificial intelligence methods. Comparative study of AI methods based on their advantages and disadvantages.

Resource use, availability and cost in the provision of critical care in Tanzania: a systematic review

OBJECTIVES

Critical care is essential in saving lives of critically ill patients, however, provision of critical care across lower resource settings can be costly, fragmented and heterogenous. Despite the urgent need to scale up the provision of critical care, little is known about its availability and cost. Here, we aim to systematically review and identify reported resource use, availability and costs for the provision of critical care and the nature of critical care provision in Tanzania.

DESIGN

This is a systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

DATA SOURCES

Medline, Embase and Global Health databases were searched covering the period 2010 to 17 November 2020.

ELIGIBILITY CRITERIA

We included studies that reported on forms of critical care offered, critical care services offered and/or costs and resources used in the provision of care in Tanzania published from 2010.

DATA EXTRACTION AND SYNTHESIS

Quality assessment of the articles and data extraction was done by two independent researchers. The Reference Case for Estimating the Costs of Global Health Services and Interventions was used to assess quality of included studies. A narrative synthesis of extracted data was conducted. Costs were adjusted and reported in 2019 US$ and TZS using the World Bank GDP deflators.

RESULTS

A total 31 studies were found to fulfil the inclusion and exclusion criteria. Critical care identified in Tanzania was categorised into: intensive care unit (ICU) delivered critical care and non-ICU critical care. The availability of ICU delivered critical care was limited to urban settings whereas non-ICU critical care was found in rural and urban settings. Paediatric critical care equipment was more scarce than equipment for adults. 15 studies reported on the costs of services related to critical care yet no study reported an average or unit cost of critical care. Costs of medication, equipment (eg, oxygen, personal protective equipment), services and human resources were identified as inputs to specific critical care services in Tanzania.

CONCLUSION

There is limited evidence on the resource use, availability and costs of critical care in Tanzania. There is a strong need for further empirical research on critical care resources availability, utilisation and costs across specialties and hospitals of different level in low/middle-income countries like Tanzania to inform planning, priority setting and budgeting for critical care services.

PROSPERO REGISTRATION NUMBER

CRD42020221923.