Intensive Care Unit Resources Research Articles

A data-driven combined prediction method for the demand for intensive care unit healthcare resources in public health emergencies

BackgroundPublic health emergencies are characterized by uncertainty, rapid transmission, a large number of cases, a high rate of critical illness, and a high case fatality rate. The intensive care unit (ICU) is the “last line of defense” for saving lives. And ICU resources play a critical role in the treatment of critical illness and combating public health emergencies.ObjectiveThis study estimates the demand for ICU healthcare resources based on an accurate prediction of the surge in the number of critically ill patients in the short term. The aim is to provide hospitals with a basis for scientific decision-making, to improve rescue efficiency, and to avoid excessive costs due to overly large resource reserves.MethodsA demand forecasting method for ICU healthcare resources is proposed based on the number of current confirmed cases. The number of current confirmed cases is estimated using a bilateral long-short-term memory and genetic algorithm support vector regression (BILSTM-GASVR) combined prediction model. Based on this, this paper constructs demand forecasting models for ICU healthcare workers and healthcare material resources to more accurately understand the patterns of changes in the demand for ICU healthcare resources and more precisely meet the treatment needs of critically ill patients.ResultsData on the number of COVID-19-infected cases in Shanghai between January 20, 2020, and September 24, 2022, is used to perform a numerical example analysis. Compared to individual prediction models (GASVR, LSTM, BILSTM and Informer), the combined prediction model BILSTM-GASVR produced results that are closer to the real values. The demand forecasting results for ICU healthcare resources showed that the first (ICU human resources) and third (medical equipment resources) categories did not require replenishment during the early stages but experienced a lag in replenishment when shortages occurred during the peak period. The second category (drug resources) is consumed rapidly in the early stages and required earlier replenishment, but replenishment is timelier compared to the first and third categories. However, replenishment is needed throughout the course of the epidemic.ConclusionThe first category of resources (human resources) requires long-term planning and the deployment of emergency expansion measures. The second category of resources (drugs) is suitable for the combination of dynamic physical reserves in healthcare institutions with the production capacity reserves of corporations. The third category of resources (medical equipment) is more dependent on the physical reserves in healthcare institutions, but care must be taken to strike a balance between normalcy and emergencies.

The epidemiology and treatment outcomes of COVID-19 patients admitted to an intensive care unit in an Iranian hospital in Neyshabur city.

The COVID-19 pandemic and the infection of numerous individuals from diverse societies have emerged as major global challenges. Given the limited resources in intensive care units, effective bed management and resource allocation require a deep understanding of the disease. This study aimed to assess the epidemiology and treatment outcomes of COVID-19 patients admitted to an intensive care unit in an Iranian hospital in Neyshabur city. This cross-sectional study was conducted on COVID-19 patients hospitalized in intensive care units in Razavi Khorasan, Iran in 2021. Census sampling was used to include all intensive care units. Of the initial 480 cases, 54 cases were excluded based on the exclusion criteria, leaving 426 cases for the study. Data were collected with the help of a data collection form that was designed by the researcher and its content validity and reliability were measured with Cronbach's alpha coefficient (α = 89%.). Data were analyzed with SPSS version 20 software. Descriptive and inferential statistics were used to analyze the data. Mean, standard deviation, and interquartile range indicators were used for descriptive statistics, and absolute frequency and relative frequency (percentage) were used to show numbers and ratios. The mean (SD) age of the patients was 66.33 (15.05) years, and 49.3% were female. The results showed that arterial blood oxygen saturation, respiratory rate, and Alzheimer's disease were significant variables for predicting mortality. Furthermore, arterial blood oxygen saturation, respiratory rate, and the need for transfusion of blood products were significant variables in predicting hospitalization and the risk of acute respiratory distress syndrome (ARDS). This study demonstrated that arterial blood oxygen saturation, respiratory rate, and Alzheimer's disease are crucial variables for predicting death. Furthermore, arterial blood oxygen saturation and respiratory rate are significant factors in predicting the risk of ARDS.

Safety and Feasibility of a “Fast‐Track” Monitoring Protocol for Patients Treated With Intravenous Thrombolytic Therapy

Background Our health care systems continue to face significant strain due to chronically taxed intensive care resources. A subgroup of patients following thrombolytic stroke may not require prolonged intensive monitoring, alleviating some burden. Here, we describe the safety, feasibility, and utility of a Fast‐Track Protocol (FTP) for early deescalation of high‐acuity monitoring. Methods We compared a prospective cohort of patients on the FTP at our stroke centers from April 2020 to February 2022 to a similar retrospective cohort. Those who presented with a National Institutes of Health Stroke Scale <10 and without large‐vessel occlusion or flow‐limiting stenosis, intravenous antihypertensive use, and any hemodynamic or respiratory concerns were eligible. Primary outcomes included early neurologic deterioration, defined as worsening of National Institutes of Health Stroke Scale score of ≥4 points at 24 hours, parenchymal hemorrhage, and symptomatic intracranial hemorrhage. Results Of 574 patients undergoing thrombolysis, 119 (21%) were eligible for the FTP. A total of 100 (88%) were included for analysis. The median±interquartile range hospitalization was 2.0±1.6 days. None of the 4 cases of early neurologic deterioration were due to hemorrhage. No symptomatic intracranial hemorrhages occurred, and no patients on the FTP were transferred back to the intensive care unit. Median±interquartile range 90‐day modified Rankin scale score was 1±1. Conclusion FTP is a safe and feasible strategy to triage intensive care unit patients and decrease unnecessary intensive care unit monitoring. This is important in a postpandemic era as intensive care unit resources continue to fluctuate. Future studies are needed to establish the optimal level of monitoring in patients following thrombolysis.

Opportunity for Reduction of Intensive Care Unit Resource Utilization in Pediatric Blunt Liver and Spleen Injuries: A National Trauma Data Bank Analysis

IntroductionGuidelines for blunt liver and spleen injury (BLSI) by the Arizona-Texas-Oklahoma-Memphis-Arkansas Consortium (ATOMAC) emphasize hemodynamic stability over injury grade when considering non-operative management (NOM). In this study, we examined rates of intensive care unit (ICU) admission for children with isolated low-risk BLSI among US hospitals. MethodsThe National Trauma Data Bank (NTDB) was queried for patients ages 1-15 admitted between 2017 and 2019 with BLSI. Patients with penetrating injuries and/or concomitant non-abdominal injuries with AIS score ≥3 were excluded. Isolated BLSI was considered low-risk if the patient had normal admission vitals and did not require operative intervention. Primary outcomes measured were ICU admission, ICU length of stay (LOS), and overall LOS. Results5777 patients ages 15 and under presented with isolated BLSI during the study period. 2031/5777 (35.2%) were considered low-risk. Low-risk patients had lower rates of ICU admission compared to high-risk patients (30.9% vs. 41.6%, p < 0.001) and had shorter ICU LOS (median 2 days vs. 2, p < 0.001) and shorter overall LOS (median 41 h vs. 54, p < 0.001). Pediatric verified and non-pediatric verified trauma centers had similar rates of ICU admission (36.8% vs. 38.9%, p = 0.11). ConclusionFurther work is needed to capture opportunities for reduction in ICU utilization in isolated BLSI. Level of EvidenceIII

Association Between High Sensitivity Troponin Levels Following Pediatric Orthotopic Heart Transplantation and Intensive Care Unit Resource Utilization.

The utility of troponin levels, including high sensitivity troponin T (hs-TnT), after orthotopic heart transplant (OHT) is controversial. Conflicting data exist regarding its use as a marker of acute rejection. Few studies have examined possible associations of hs-TnT levels immediately after OHT with metrics of intensive care unit (ICU) resource utilization or risk of acute rejection. We performed a retrospective cohort chart review including all OHT recipients < 20years of age at our center between June 2019 and December 2022. Patients were divided into two groups based on supra- or sub-median initial hs-TnT levels (median 3462.5ng/L). Primary outcome was days requiring ICU-level care, secondary outcomes included days intubated, days requiring positive pressure ventilation (PPV), days on inotropic medications, actual ICU length of stay, Vasoactive Inotrope Scores (VIS) on postoperative days (POD) 0 through 7, and acute rejection at 30days and one year after OHT. Patients with higher hs-TnT required ICU level care for longer [13.5 (10-17.5) vs. 9.5 (8-12) days, p = 0.01] and spent more days intubated [6 (4-7) vs. 3 (3-5) days, p < 0.001], on PPV [9 (6-15) vs. 6 (5-8.5) days, p = 0.02], and on inotropes [11 (9-14) vs. 8 (7-11) days, p = 0.025]. VIS was only different between groups on POD7 [5 (3-7) vs. 3 (0-5), p = 0.04]. There was no difference in rejection between the groups. Higher hs-TnT immediately following pediatric OHT may predict higher ICU resource utilization, despite no difference in VIS, although it does not predict acute rejection in the first year after OHT.

Age distribution and clinical results of critically ill patients above 65-year-old in an aging society: A retrospective cohort study.

Increasing age has been observed among patients admitted to the intensive care unit(ICU). Age traditionally considered a risk factor for ICU mortality. We investigated how the epidemiology and clinical outcomes of older ICU patients have changed over a decade. We analyzed patients admitted to the ICU at a university hospital in Seoul, South Korea. We defined patients aged 65 and older as older patients. Changes in age groups and mortality risk factors over the study period were analyzed. A total of 32,322 patients were enrolled who aged ≥ 65 years admitted to the ICUs between January 1, 2007, and December 31, 2017. Patients aged 65 years accounted for 35% and of these, the older(O: 65-74 yrs) comprised 19,630(66.5%), very older(VO: 75-84 yrs) group 8,573(29.1%), and very very older(VVO: 85 years) group 1,300(4.4 %). The mean age of ICU patients over the study period increased(71.9±5.6yrs in 2007 vs. 73.2±6.1yrs in 2017) and the proportions of the VO and VVO group both increased. Over the period, the proportion of female increased(37.9% in 2007 vs. 43.3% in 2017), and increased ICU admissions for medical reasons(39.7% in 2007 vs. 40.2% in 2017). In-hospital mortality declined across all older age groups, from 10.3% in 2007 to 7.6% in 2017. Hospital length of stay(LOS) decreased in all groups, but ICU LOS decreased only in the O and VO groups. The study indicates a changing demographic in ICUs with an increase in older patients, and suggests a need for customized ICU treatment strategies and resources.

Neonatal Intensive Care Unit Resource Use for Infants at 22 Weeks’ Gestation in the US, 2008-2021

During the past decade, clinical guidance about the provision of intensive care for infants born at 22 weeks' gestation has changed. The impact of these changes on neonatal intensive care unit (NICU) resource utilization is unknown. To characterize recent trends in NICU resource utilization for infants born at 22 weeks' gestation compared with other extremely preterm infants (≤28 weeks' gestation) and other NICU-admitted infants. This is a serial cross-sectional study of 137 continuously participating NICUs in 29 US states from January 1, 2008, through December 31, 2021. Participants included infants admitted to the NICU. Data analysis was performed from October 2022 to August 2023. Year and gestational age at birth. Measures of resource utilization included NICU admissions, NICU bed-days, and ventilator-days. Of 825 112 infants admitted from 2008 to 2021, 60 944 were extremely preterm and 872 (466 [53.4%] male; 18 [2.1%] Asian; 318 [36.5%] Black non-Hispanic; 218 [25.0%] Hispanic; 232 [26.6%] White non-Hispanic; 86 [9.8%] other or unknown) were born at 22 weeks' gestation. NICU admissions at 22 weeks' gestation increased by 388%, from 5.7 per 1000 extremely preterm admissions in 2008 to 2009 to 27.8 per 1000 extremely preterm admissions in 2020 to 2021. The number of NICU admissions remained stable before the publication of updated clinical guidance in 2014 to 2016 and substantially increased thereafter. During the study period, bed-days for infants born at 22 weeks increased by 732%, from 2.5 per 1000 to 20.8 per 1000 extremely preterm NICU bed-days; ventilator-days increased by 946%, from 5.0 per 1000 to 52.3 per 1000 extremely preterm ventilator-days. The proportion of NICUs admitting infants born at 22 weeks increased from 22.6% to 45.3%. Increases in NICU resource utilization during the period were also observed for infants born at less than 22 and at 23 weeks but not for other gestational ages. In 2020 to 2021, infants born at less than or equal to 23 weeks' gestation comprised 1 in 117 NICU admissions, 1 in 34 of all NICU bed-days, and 1 in 6 of all ventilator-days. In this serial cross-sectional study of 137 US NICUs from 2008 to 2021, an increasing share of resources in US NICUs was allocated to infants born at 22 weeks' gestation, corresponding with changes in national clinical guidance.

No Association of Blood Alcohol Concentration on Burn Patient Outcomes

IntroductionAlcohol abuse is common among burn patients. Burn patients under the influence of alcohol are at risk for developing organ failure, prolonged hospital duration, and increased intensive care unit (ICU) resources. Our study aims to analyze the association between presenting alcohol levels and the outcomes of burn patients. MethodsA retrospective analysis of admitted burn patients was performed from 2016 to 2021. Patients were divided into two groups based on blood alcohol content (BAC), low (<80), and high (≥80) mg/dL. Data included demographics, comorbidities, and outcomes. Univariate analyses were performed, and a P value <0.05 was significant. ResultsA total of 197 patients were included (32.5% females, mean age 47.2 ± 15.2, 26.9% smokers, 28.4% illegal drug abuse, and 56.3% no comorbidities). Mortality was 7.6%, morbidity 20.8%, 39.1% required burn ICU admission, and 25.9% were intubated. When comparing BAC groups, we found no differences in demographics, comorbidities, inhalational injury incidence, carbon monoxide level, intubation, or burn ICU admission rates. The high-BAC group had longer ventilator days (high BAC 16.7 ± 19.3 versus low BAC 7.5 ± 9.1, P = 0.026) and longer stays in the ICU (18.6 ± 21.8 versus 10.7 ± 15.4, P = 0.075). The low-BAC group had more 3rd-degree burn percentage (5.0 ± 15.3 versus 15.4 ± 27.5, P = 0.024). Both morbidity and in-house mortality rates were similar for both groups (23.8% versus 16.0%, P = 0.192, and 6.6% versus 9.3%, P = 0.476, respectively). ConclusionsBurn patients with higher BAC had significantly longer mechanical ventilator days. However, higher alcohol concentrations had no association with regard to mortality, overall length of stay, or complication rates.

Critical care services in Bagmati province of Nepal: A cross sectional survey

Background This study aimed to assess the current status of critical care services in 13 districts of Bagmati Province in Nepal, with a focus on access, infrastructure, human resources, and intensive care unit (ICU) services. Methods A cross-sectional survey was conducted among healthcare workers employed in 87 mixed medical/surgical ICUs across Bagmati Province. Data were collected through structured questionnaires administered via face-to-face and telephone interviews. Descriptive analysis was used for data analysis, involving frequencies and percentages. Results A total of 123 ICUs were identified in the province, providing 1167 beds and 615 functioning ventilators. The average ICU bed availability per 100,000 population was 19, ranging from 3.6 in Makwanpur to 33.9 in Kathmandu. Out of 13 districts, 95% of beds were concentrated in just four districts, while six had no ICU facilities. Of the available facilities, 69.9% were owned by private entities. One-to-one nurse-to-ventilated bed ratio was maintained by 63.4% of ICUs during daytime, and 62.6% at nighttime. Furthermore, 74.8% of ICUs had consultants trained in critical care medicine. While essential equipment availability was higher in Bagmati province, gaps existed in the availability of oxygen plants and isolation rooms. Similarly, many ICUs offered continuous medical education and cardiopulmonary resuscitation (CPR) training, but improvements were necessary in clinical audits, antibiotic stewardship programs, and research engagement. Conclusions Disparities in critical care resources were evident across districts in Bagmati Province, highlighting the need for a balanced and decentralized approach to ensure equitable access to care. Although there were disparities, numerous ICUs were effectively carrying out multiple critical care procedures. This study suggests conducting a nationwide mapping of ICU resources, prioritizing infrastructure development, optimizing resource allocation, and establishing national protocols.

Utilization of Hospice Resources in Adult Intensive Care Units: A Comparison Between Users and Non-Users

The application of palliative care is limited and challenging in intensive care units (ICUs) because of complex factors such as time constraints and unpredictable disease progression. Although research results and international consensus stress the early use of palliative care, utilization remains low, resulting in increased risks of ineffective medical care and poor quality of death. Improving this situation requires a comprehensive understanding of the palliative condition in ICUs. This study was designed to investigate the utilization of hospice resources in adult ICUs and to compare this utilization between users and non-users. This retrospective correlation study recruited cases from the adult ICU database of a medical center in northern Taiwan between June and July 2022. Descriptive statistics, independent t-test and chi-square were used to analyze the data. A total of 1,181 records were analyzed, including 458 (38.8%) females and 723 (61.2%) males. Two hundred and seventeen cases (18.4%) used hospice resources. Although 124 (10.4%) of the 1181 cases were identified as "in urgent need of hospice resources" (i.e., died within 30 days of ICU admission), 25 (20.2%) did not use these resources. Significant differences between the urgent-need cases who did and did not use hospice resources were found in terms of age, disease type, degree of frailty, cardiac arrest, infection, state of consciousness, intubation and tracheostomy status, inotropic and vasopressor medication, renal replacement, ECMO placement, delirium, and Acute Physiology and Chronic Health Evaluation III and Sequential Organ Failure Assessment Scores. The roughly 20% of ICU patients in urgent needs of palliative care who did not utilize palliative care resources highlight the needs for continued discussion to better assist patients on palliative care decision-making. The findings show multifaceted differences between those who did and did not access palliative care. Future studies should design and test strategies to facilitate the identification of palliative care needs and ensure the effective allocation of palliative care resources in ICUs.

A New Risk Model based on the Machine Learning Approach for Prediction of Mortality in the Respiratory Intensive Care Unit.

Intensive care unit (ICU) resources are inadequate for the large population in China, so it is essential for physicians to evaluate the condition of patients at admission. In this study, our objective was to construct a machine-learning risk prediction model for mortality in respiratory intensive care units (RICUs). This study involved 817 patients who made 1,063 visits and who were admitted to the RICU from 2012 to 2017. Potential predictors such as demographic information, laboratory results, vital signs and clinical characteristics were considered. We constructed eXtreme Gradient Boosting (XGBoost) models and compared performances with random forest models, logistic regression models and clinical scores such as Acute Physiology and Chronic Health Evaluation II (APACHE II) and the sequential organ failure assessment (SOFA) system. The model was externally validated using data from Medical Information Mart for Intensive Care (MIMIC-III) database. A web-based calculator was developed for practical use. Among the 1,063 visits, the RICU mortality rate was 13.5%. The XGBoost model achieved the best performance with the area under the receiver operating characteristics curve (AUROC) of 0.860 (95% confidence interval (CI): 0.808 - 0.909) in the test set, which was significantly greater than APACHE II (0.749, 95% CI: 0.674 - 0.820; P = 0.015) and SOFA (0.751, 95% CI: 0.669 - 0.818; P = 0.018). The Hosmer-Lemeshow test indicated a good calibration of our predictive model in the test set with a P-value of 0.176. In the external validation dataset, the AUROC of XGBoost model was 0.779 (95% CI: 0.714 - 0.813). The final model contained variables that were previously known to be associated with mortality, but it also included some features absent from the clinical scores. The mean N-terminal pro-B-type natriuretic peptide (NTproBNP) of survivors was significantly lower than that of the non-survival group (2066.43 pg/mL vs. 8232.81 pg/mL; P < 0.001). Our results showed that the XGBoost model could be a suitable model for predicting RICU mortality with easy-to-collect variables at admission and help intensivists improve clinical decision-making for RICU patients. We found that higher NT-proBNP can be a good indicator of poor prognosis.

Exploring factors affecting the timely transition of ventilator assisted individuals in Ontario from acute to long-term care: Perspectives of healthcare professionals.

Ventilator Assisted Individuals (VAIs) frequently remain in intensive care units (ICUs) for a prolonged period once clinically stable due to a lack of transition options. These VAIs occupy ICU beds and resources that patients with more acute needs could better utilize. Moreover, VAIs experience improved outcomes and quality of life in long-term and community-based environments. To better understand the perspectives of healthcare providers (HCPs) working in an Ontario ICU regarding barriers and facilitators to referral and transition of VAIs from the ICU to a long-term setting. We conducted semi-structured interviews with ten healthcare providers involved in VAI transitions. Perceived barriers included long wait times for long-term care settings, insufficient bed availability at discharge locations, medical complexity of patients, long waitlists, and a lack of transparency of waitlists. Facilitators included strong partnerships and trusting relationships between referring and discharge locations, a centralized referral system, and utilization of community partnerships across care sectors. Insufficient resourcing of long-term care is a key barrier to transitioning VAIs from ICU to long-term settings; strong partnerships across care sectors are a facilitator. System-level approaches, such as a single-streamlined referral system, are needed to address key barriers to timely transition.

Short-term predictor for COVID-19 severity from a longitudinal multi-omics study for practical application in intensive care units

BackgroundThe COVID-19 pandemic challenged the management of technical and human resources in intensive care units (ICU) across the world. Several long-term predictors for COVID-19 disease progression have been discovered. However, predictors to support short-term planning of resources and medication that can be translated to future pandemics are still missing. A workflow was established to identify a predictor for short-term COVID-19 disease progression in the acute phase of intensive care patients to support clinical decision-making. MethodsThirty-two patients with SARS-CoV-2 infection were recruited on admission to the ICU and clinical data collected. During their hospitalization, plasma samples were acquired from each patient on multiple occasions, excepting one patient for which only one time point was possible, and the proteome (Inflammation, Immune Response and Organ Damage panels from Olink® Target 96), metabolome and lipidome (flow injection analysis and liquid chromatography-mass spectrometry) analyzed for each sample. Patient visits were grouped according to changes in disease severity based on their respiratory and organ function, and evaluated using a combination of statistical analysis and machine learning. The resulting short-term predictor from this multi-omics approach was compared to the human assessment of disease progression. Furthermore, the potential markers were compared to the baseline levels of 50 healthy subjects with no known SARS-CoV-2 or other viral infections. ResultsA total of 124 clinical parameters, 271 proteins and 782 unique metabolites and lipids were assessed. The dimensionality of the dataset was reduced, selecting 47 from the 1177 parameters available following down-selection, to build the machine learning model. Subsequently, two proteins (C–C motif chemokine 7 (CCL7) and carbonic anhydrase 14 (CA14)) and one lipid (hexosylceramide 18:2; O2/20:0) were linked to disease progression in the studied SARS-CoV-2 infections. Thus, a predictor delivering the prognosis of an upcoming worsening of the patient's condition up to five days in advance with a reasonable accuracy (79 % three days prior to event, 84 % four to five days prior to event) was found. Interestingly, the predictor's performance was complementary to the clinicians' capabilities to foresee a worsening of a patient. ConclusionThis study presents a workflow to identify omics-based biomarkers to support clinical decision-making and resource management in the ICU. This was successfully applied to develop a short-term predictor for aggravation of COVID-19 symptoms. The applied methods can be adapted for future small cohort studies.

Limitation of Non-Beneficial Interventions and their Impact on the Intensive Care Unit Costs.

Using a plan to limit non-beneficial life support interventions has significantly reduced harm and loss of dignity for patients at the end of life. The association of these limitations with patients' clinical characteristics and health care costs in the intensive care unit (ICU) needs further scientific evidence. To explore decisions to limit non-beneficial life support interventions, their correlation with patients' clinical data, and their effect on the cost of care in the ICU. We included all patients admitted to the general ICU of a hospital in Greece in a two-year (2019-2021) prospective study. Data collection included patient demographic and clinical variables, data related to decisions to limit (withholding, withdrawing) non-beneficial interventions (NBIs), and economic data. Comparisons were made between patients with and without limitation decisions. NBIs were limited in 164 of 454 patients (36.12%). Patients with limitation decisions were associated with older age (70y vs. 62y; p<0,001), greater disease severity score (APACHE IV, 71 vs. 50; p<0,001), longer length of stay (7d vs. 4.5d; p<0,001), and worse prognosis of death (APACHE IV PDR, 48.9 vs. 17.35; p<0,001). All cost categories and total cost per patient were also higher than the patient without limitation of NBIs (9247,79€ vs. 8029,46€, p<0,004). The mean daily cost has not differed between the groups (831,24€ vs. 832,59€; p<0,716). However, in the group of patients with limitations, all cost categories, including the average daily cost (767.31€ vs. 649.12€) after the limitation of NBIs, were reduced to a statistically significant degree (p<0.001). Limiting NBIs in the ICU reduces healthcare costs and may lead to better management of ICU resource use.

Comparing Opioid with Opioid-free Anesthesia Technique in Neonates Undergoing Tracheoesophageal Fistula Repair.

Tracheoesophageal fistula (TEF) is a congenital disorder that presents as a surgical emergency in neonates. In regions where neonatal intensive care unit facilities and resources are inadequate and skilled personnel are scarce, not extubating neonates on table, contributes to mortality. Our aim was to assess and compare the on-table extubation rate, extubation time, and postoperative pain scores between opioid and opioid-free anesthesia techniques in neonates undergoing surgical repair of TEF. We conducted a prospective, single-blind, randomized trial over 18 months between January 2021 and June 2022 in Safdarjung Hospital, New Delhi on 60 full-term neonates scheduled for TEF surgeries randomly allocated to two groups according to the mode of analgesia administered. Group O were given fentanyl injection 1 µg/kg intravenous (IV) loading dose with IV injection. acetaminophen at 7.5 mg/kg and top-up of 0.25 µg/kg fentanyl IV si opus sit. Group NO were given pre-surgical local infiltration and intercostal block with 0.25% and 0.5% bupivacaine, respectively, with IV acetaminophen at 7.5 mg/kg. Mean age in days, gender distribution, and weight in both groups were statistically comparable. The difference in the number of neonates extubated on table was statistically significant (p =0.002) in group NO compared to group O. Lower mean extubation time was seen in group NO (9.0 min 40.0 secs±3.0 min 3.0 secs) compared to group O (16.0 min 45.0 secs±8.0 min 5.0 secs) (p < 0.001). There was a statistically significant (p =0.010) lower Neonatal Infant Pain Scale score in group NO with mean and SD as 1.8±0.8 compared with group O, 2.5±1.1 at 90 min. In neonates undergoing TEF repair, opioid-free anesthesia is a safe and effective method, providing a better extubation rate, faster time to extubation, and better postoperative pain control.

Impact of an ageing population on the intensive care unit

Intensive care unit (ICU) resources are scarce and expensive, and deciding if intensive care is suitable for older patients involves complex clinical reasoning, ethical challenges and cost considerations. Although some studies show that ICU mortality increases with age, others suggest that age alone is not predictive of poor prognosis, and other factors such as frailty, premorbid functional status and comorbidities could be important.

Development and validation of a prediction model for postoperative intensive care unit admission in patients with non-cardiac surgery

BackgroundAccurately forecasting patients admitted to the intensive care units (ICUs) after surgery may improve clinical outcomes and guide the allocation of expensive and limited ICU resources. However, studies on predicting postoperative ICU admission in non-cardiac surgery have been limited. ObjectiveTo develop and validate a prediction model combining pre- and intraoperative variables to predict ICU admission after non-cardiac surgery. MethodsThis study is based on data from the Vital Signs DataBase (VitalDB) database. Predictors were selected using the least absolute shrinkage and selection operator regression method and logistic regression to develop a nomogram and an online web calculator. The model was internally verified by 1000-Bootstrap resampling. Performance of model was evaluated using area under the receiver operating characteristic curve (AUC), calibration curve and Brier score. The Youden's index was used to find the optimal nomogram's probability threshold. Clinical utility was assessed by decision curve analysis. ResultsThis study included 5216 non-cardiac surgery patients; of these, 812 (15.6%) required postoperative ICU admission. Potential predictors included age, ASA classification, surgical department, emergency surgery, preoperative albumin level, preoperative urea nitrogen level, intraoperative crystalloid, intraoperative transfusion, intraoperative catheterization, and surgical time. A nomogram was constructed with an AUC of 0.917 (95% CI: 0.907–0.926) and a Brier score of 0.077. The Bootstrap-adjusted AUC was 0.914; the adjusted Brier score was 0.078. The calibration curve showed good agreement between predicted and actual probabilities; and the decision curve indicated clinical usefulness. Finally, we established an online web calculator for clinical application (https://xuzhikun.shinyapps.io/postopICUadmission1/). ConclusionWe developed and internally validated an easy-to-use nomogram for predicting ICU admission after non-cardiac surgery.

Reduced time to imaging, length of stay, and hospital charges following implementation of a novel postoperative pathway for craniotomy.

The authors created a postoperative postanesthesia care unit (PACU) pathway to bypass routine intensive care unit (ICU) admissions of patients undergoing routine craniotomies, to improve ICU resource utilization and reduce overall hospital costs and lengths of stay while maintaining quality of care and patient satisfaction. In the present study, the authors evaluated this novel PACU-to-floor clinical pathway for a subset of patients undergoing craniotomy with a case time under 5 hours and blood loss under 500 ml. A single-institution retrospective cohort study was performed to compare 202 patients enrolled in the PACU-to-floor pathway and 193 historical controls who would have met pathway inclusion criteria. The pathway cohort consisted of all adult supratentorial brain tumor cases from the second half of January 2021 to the end of January 2022 that met the study inclusion criteria. Control cases were selected from the beginning of January 2020 to halfway through January 2021. The authors also discuss common themes of similar previously published pathways and the logistical and clinical barriers overcome for successful PACU pathway implementation. Pathway enrollees had a median age of 61 years (IQR 49-69 years) and 53% were female. Age, sex, pathology, and American Society of Anesthesiologists physical status distributions were similar between pathway and control patients (p > 0.05). Most of the pathway cases (96%) were performed on weekdays, and 31% had start times before noon. Nineteen percent of pathway patients had 30-day readmissions, most frequently for headache (16%) and syncope (10%), whereas 18% of control patients had 30-day readmissions (p = 0.897). The average time to MRI was 6 hours faster for pathway patients (p < 0.001) and the time to inpatient physical therapy and/or occupational therapy evaluation was 4.1 hours faster (p = 0.046). The average total length of stay was 0.7 days shorter for pathway patients (p = 0.02). A home discharge occurred in 86% of pathway cases compared to 81% of controls (p = 0.225). The average total hospitalization charges were $13,448 lower for pathway patients, representing a 7.4% decrease (p = 0.0012, adjusted model). Seven pathway cases were escalated to the ICU postoperatively because of attending physician preference (2 cases), agitation (1 case), and new postoperative neurological deficits (4 cases), resulting in a 96.5% rate of successful discharge from the pathway. In bypassing the ICU, critical care resource utilization was improved by releasing 0.95 ICU days per patient, or 185 ICU days across the cohort. The featured PACU-to-floor pathway reduces the stay of postoperative craniotomy patients and does not increase the risk of early hospital readmission.

Clinical features and outcomes of patients with myasthenia gravis admitted to an intensive care unit: A 20-year retrospective study.

There are limited data on the clinical characteristics and outcomes of patients with myasthenia gravis (MG) admitted to the intensive care unit (ICU) at Charlotte Maxeke Johannesburg Academic Hospital (CMJAH). The aim was to study the clinical characteristics and outcomes of patients with MG admitted to the CMJAH over two decades. A retrospective study was undertaken of patients with MG admitted to the multidisciplinary ICU of CMJAH over a 20-year period, from 1998 to 2017. Demographic data, clinical features, management and outcomes of patients were assessed and reviewed from the case records. Thirty-four patients with MG were admitted to the ICU during this period: 24 female and 10 male. The mean age ± SD was 37.4 ± 13.0 years, with a range of 16 - 66 years. Four patients were human immunodeficiency virus (HIV)-positive. The mean length of stay (LOS) in ICU was 10.6 ± 20.1 days, ranging from 1 to 115 days. Two patients were diagnosed with MG in the ICU after failure to wean from the ventilator. Overall, 22 patients were intubated and ventilated on admission. Morbidities included self-extubation, aspiration pneumonia and iatrogenic pneumothorax. History of thymectomy was present in 12 patients. The treatments received for MG included pyridostigmine (73.5%), corticosteroids (55.9%), azathioprine (35.3%), plasmapheresis (26.5%) and intravenous immunoglobulin (8.8%). The overall mortality in the ICU was 5.9%. MG is a serious disorder with considerable morbidity and mortality. It is, however, a potentially manageable disease, provided that appropriate ICU resources are available. This study provides further insight into the characteristics and outcomes of myasthenia gravis patients in ICU, within a South African context.

Curative to palliative care transition challenges in the intensive care unit. A narrative review.

Abstract&#x0D; Introduction: The need for high quality palliative care services for critically ill patients and their families remains of high importance.&#x0D; Purpose: This review aims to present the benefits and barriers to implementing palliative care in Intensive Care Units and suggest ways to facilitate the shift from therapeutic to palliative care.&#x0D; Methods: PubMed, Scopus, and Google Scholar databases were searched online. Studies included were eligible for the provision of palliative care in the intensive care unit, published in English from 2012 through 2022.&#x0D; Review: Evidence shows that integrating palliative care impacts the quality of life in intensive care unit and increases rates of use of palliative care facilities. On the other hand decrease length of stay and impacts the cost and the opportunity cost of the intensive care unit. The data suggest that a large subset of intensive care units patients would benefit from palliative care, but palliative care remains underutilized in the ICU setting. Lack of training in palliative care, organizational factors, decisions about end of life, lack of defined criteria for inclusion, and life-saving culture of the intensive care unit are barriers to providing palliative care. Efforts should focus on education, support for effective communication and decision-making, early integration of a palliative approach, redesign of clinical protocols, and reallocation of resources to provide an environment conducive to quality at the end of life.&#x0D; Conclusion: Involving palliative care in critically ill patients has reduced intensive care unit resource use. Nurses need to define their essential management roles within the multidisciplinary critical care team and help develop systems by which these roles can be implemented.