Intensive Care Unit Patients Research Articles

Tele-Critical Care, Severity of Illness, and 30-Day Mortality Risk: A Retrospective, Cohort Analysis.

Introduction: Studies have shown that tele-critical care (TCC) improves outcomes in intensive care unit (ICU) settings with low baseline performance. Evidence also suggests that TCC outcomes may be modified by heterogenous baseline severity of illness. We examined the association of admission Acute Physiology and Chronic Health Evaluation IV (APACHE IV) score quartiles (APQ1-APQ4) and TCC exposure with 30-day mortality. Methods: Retrospective, cohort study of 151,780 consecutive ICU patients admitted to nine hospitals within Cleveland Clinic Health System from 2010 to 2019. Data were abstracted from an institutional ICU Datamart and APACHE IV registry. Analyses included summary statistics for demographics, unadjusted survival functions, and incidence rates across ascending APACHE quartiles (APQ1-APQ4). Multivariate Poisson regression modeled covariates associated with incidence rate ratio (IRR) for mortality, across quartiles including statistical interaction between TCC exposure and APACHE quartiles. Results: Unadjusted mortality risk ratios of TCC/no TCC were statistically different across APQ1 (0.83; 95% confidence interval [CI] 0.71-0.97), APQ3 (0.63; 95% CI 0.57-0.69), and APQ4 (0.77; 95% CI 0.74-0.82) (all p < 0.05) but not in APQ2 (0.98; 95% CI 0.88-1.10; p = 0.77). Multivariate Poisson modeling found reduced IRR with TCC (IRR 0.82; 95% CI 0.70-0.97). Relative to APQ1, risk was increased across quartiles, APQ2 (IRR 2.15; 95% CI 1.83-2.52), APQ3 (IRR 3.93; 95% CI 3.39-4.56), and APQ4 (IRR 9.30; 95% CI 8.10-10.67). Interaction with TCC significantly reduced risk in APQ3 (IRR 0.80; 95% CI 0.67-0.96). Conclusion: TCC exposure is associated with reduced 30-day mortality, affected by various clinical factors, to provide heterogenous impact. Mortality benefit appears to particularly accrue among patients with higher, but not the highest quartile for severity of illness, based on their APACHE IV scores.

Tachycardia-Desaturation Episodes in Neonatal Intensive Care Unit Patients with and without Bronchopulmonary Dysplasia.

Much attention has been paid to measuring physiological episodes of bradycardia-oxygen desaturation (BDs) in the neonatal intensive care unit (NICU). NICU patients also have spells of tachycardia-desaturation (TDs), but these have not been well-characterized. We hypothesized that TDs would be more common among infants with bronchopulmonary dysplasia (BPD). We aimed to quantify daily TDs compared to BDs in NICU patients across a range of gestational and postmenstrual ages (GA and PMA) and determine whether TDs are associated with BPD. We analyzed every 2-second heart rate (HR) and peripheral saturation of oxygen (SpO2) throughout the NICU stay of all infants with 24 to 39 weeks GA admitted to a single, level IV NICU from 2012 to 2015. BDs were defined in our prior work (HR <100 bpm for ≥4 seconds with concurrent SpO2 <80% for ≥10 seconds) and TDs as a 20% increase in HR from the previous 2-hour mean baseline and concurrent SpO2 <80% for ≥10 seconds. We calculated the median daily BDs and TDs across a range of GAs and PMAs. For infants ≤32 weeks GA, we compared TDs for those with and without BPD at 36 weeks PMA and discharge on supplemental oxygen. We analyzed 782,424 hours of HR and SpO2 data from 1,718 neonates, with a median of 271 hours analyzed per infant. TDs frequency increased with increasing PMA across all GAs. BDs occurred most frequently in infants <29 weeks GA and decreased as infants approached term equivalent age. For infants with ≤32 weeks GA, one or more TD per day from 33 to 35 weeks PMA was associated with BPD and home oxygen. Episodes of TD at the thresholds defined in this analysis occurred more frequently at later PMA and were more common in infants with BPD and those requiring home oxygen. · Desaturation episodes occur often in preterm infants.. · Bradycardia or tachycardia can coincide with desaturation.. · TD occurs later and with BPD..

Reinforcement learning model for optimizing dexmedetomidine dosing to prevent delirium in critically ill patients

Delirium can result in undesirable outcomes including increased length of stays and mortality in patients admitted to the intensive care unit (ICU). Dexmedetomidine has emerged for delirium prevention in these patients; however, optimal dosing is challenging. A reinforcement learning-based Artificial Intelligence model for Delirium prevention (AID) is proposed to optimize dexmedetomidine dosing. The model was developed and internally validated using 2416 patients (2531 ICU admissions) and externally validated on 270 patients (274 ICU admissions). The estimated performance return of the AID policy was higher than that of the clinicians’ policy in both derivation (0.390 95% confidence interval [CI] 0.361 to 0.420 vs. −0.051 95% CI −0.077 to −0.025) and external validation (0.186 95% CI 0.139 to 0.236 vs. −0.436 95% CI −0.474 to −0.402) cohorts. Our finding indicates that AID might support clinicians’ decision-making regarding dexmedetomidine dosing to prevent delirium in ICU patients, but further off-policy evaluation is required.

Efficacy of a melatonin receptor agonist and orexin receptor antagonists in preventing delirium symptoms in the olderly patients with stroke: a retrospective study

BackgroundPost-stroke delirium affects between 24% and 43% of patients, and negatively impacts patient outcomes. Recently, research attention has been on preventive interventions for delirium, with melatonin receptor agonists and orexin receptor antagonists reported to be effective in preventing delirium in intensive care unit patients. However, the efficacy of these agents in preventing post-stroke delirium remain unclear. This study examined the efficacy of ramelteon, suvorexant, and lemborexant in preventing post-stroke delirium symptoms in patients with stroke.MethodsA retrospective survey of medical records was conducted for patients with stroke aged > 75 years at Kyoto University Hospital from October 2021 to March 2023. Patients who received ramelteon, suvorexant, or lemborexant on admission and the following day were classified into the consecutive administration group, whereas those who did not were classified into the non-consecutive administration group. The primary outcome was an increase in the number of positive items in the delirium screening tool over 7 days.ResultsOf the 104 patients, 33 and 71 were in the consecutive and non-consecutive administration groups, respectively. Fewer patients in the consecutive administration group had an increase in the number of positive items than in the other group (6% vs. 21%). Patients in the consecutive administration group significantly less often had an increase in the number of positive items in the delirium screening tool (P = 0.05; hazard ratio, 0.27; 95% confidence interval, 0.10–0.75).ConclusionsThis study revealed that early administration of a melatonin receptor agonist or orexin receptor antagonists may effectively prevent post-stroke delirium in older patients.

Perceptions of distinctions between patient and healthcare zones among intensive care unit nurses at a Korean tertiary hospital: A cross-sectional study.

Intensive care unit (ICU) patients face higher infection risks from invasive procedures, highlighting the critical role of ICU nurses in infection prevention. Clear differentiation between the patient and healthcare zones is essential for effective hand hygiene and disinfection, yet research on this topic is limited. To assess ICU nurses' perception of the concept of patient and healthcare zones and evaluate their similarity and accuracy in identifying the zones. A descriptive survey was conducted at a 2,732-bed tertiary hospital in Korea from 28 July to 27 August 2022. Participants were recruited from various ICUs through flyers. 225 questionnaires-with illustrations 27 item locations for three ICU scenarios-were made available at nursing stations for voluntary completion. Participants were asked to classify items into the patient zone or the healthcare zone. Similarity scores reflected participant agreement, while accuracy scores measured the proportion of correct answers. Participants' free-text opinions regarding zone classification were analysed thematically. 104 nurses participated voluntarily. Average similarity and accuracy were 84.7% and 82.7%, respectively. The top 8 items, with over 97% similarity and accuracy, were all frequently in contact with ICU patients (e.g., pulse oximeter, Levin tube, central line, urine bag, and patient bed). The bottom 7 items, with less than 80%, included the glucometer, flashlight, trolley, and sink. Participants with higher education levels had significantly higher similarity (p = .044) and accuracy (p = .033), whereas those already familiar with the patient-zone concept had significantly higher accuracy (p = .009). From the free-text analysis, participants considered factors beyond proximity to the patient, such as patient contact, room type, and distance. To address zone classification challenges, clear criteria for patient and healthcare zones, space redesign, and educational programs are recommended. Further research is necessary to improve greater clarity and consensus regarding patient and healthcare zones to enhance infection control practices.

Pharmacokinetics of Enteral Lormetazepam in Mechanically Ventilated ICU Patients with COVID-19: An Adjunct Sedative Study.

During the coronavirus disease 2019 (COVID-19) pandemic, sedative prescriptions surged, leading to shortages of midazolam. This study investigates lormetazepam as an adjunct sedative alternative to midazolam for mechanically ventilated patients with COVID-19. We aimed to determine the clinical pharmacokinetics (PK) of enterally administered lormetazepam and provide dosing recommendations. Critically ill patients with acute respiratory distress syndrome (ARDS) or COVID-19 requiring mechanical ventilation were enrolled in April 2020. Lormetazepam 2 mg every 12 h was administered enterally. Blood samples were collected to quantify lormetazepam and its glucuronide. PK analysis was conducted using a one-compartment model with the Edsim++ KinPop plugin. The primary PK parameters (means ± coefficient of variation [CV] %) for absorption constant (Ka), volume of distribution (Vd/F), and clearance (CL/F) were 6.4 h-1, 207 L/70 kg, and 14.5 L/h/kg0.75, respectively. Vd/F and CL/F median values were 2.64 L/kg and 2.53 mL/kg/min, respectively, with a half-life of 10.7 h. Lormetazepam's median ratio to its glucuronide was 11.5. Trough-guided dosing suggested alternatives of 0.92 mg three times daily, 1.62 mg twice daily, or 5.36 mg once daily. This is the first study to report a validated PK model for enterally administered lormetazepam as a sedative adjunct in critically ill adults on mechanical ventilation for ARDS and COVID-19. The model was internally validated using a bootstrap procedure. Adequate lormetazepam concentrations were achieved at prescribed doses, with no significant alterations in clearance or half-life. This population model may aid in dose optimization and sedation management for future intensive care unit (ICU) patients.

A prospective randomized comparative study to evaluate the safety and efficacy of topical quick penetrating solution (QPS) of Heparin (1000 IU/ml) versus Heparin gel (200 IU/ml) in prevention of intravenous cannula related thrombophlebitis in post operative onco surgical intensive care unit (ICU) patients

A prospective randomized comparative study to evaluate the safety and efficacy of topical quick penetrating solution (QPS) of Heparin (1000 IU/ml) versus Heparin gel (200 IU/ml) in prevention of intravenous cannula related thrombophlebitis in post operative onco surgical intensive care unit (ICU) patients

Pleural Effusion Identified by Point of Care Ultrasound (POCUS) in Septic Shock: Impact on Clinical Outcomes.

Aim: To analyze the association between pleural effusion detected by chest point of care ultrasound (POCUS) and clinical outcomes in patients with septic shock admitted to an intensive care unit (ICU). Material and methods: A prospective evaluation of ICU patients with septic shock in whom chest POCUS was performed during the first 24 hours of diagnosis to identify the presence and characteristics of pleural effusion. Results: Of 45 patients with septic shock, 17 (38%) had pleural effusion. Mortality (13 vs 17 patients, p=0.44), as well as length of stay in ICU (11.0 vs 6.5 days, p=0.161) were similar among groups. However, there was a significant difference in the modified Nutrition Risk in Critically Ill (mNUTRIC) score between the pleural effusion (5.82±1.13) and non-pleural effusion groups (4.00±2.39, p=0.001). In addition, patients with pleural effusion required more days on mechanical ventilation than those without pleural effusion (10 vs 7, p=0.04). A subgroup analysis of chest POCUS characteristics between surviving and non-surviving patients with pleural effusion identified a higher median size of pleural effusion in the non-surviving group (3±2.16 cm vs 1.9±0.6, p=0.01). Conclusion: Pleural effusion in patients with septic shock is associated with high mNUTRIC scores and more days on mechanical ventilation. The larger the pleural effusion, the lower the survival rate.

Epidemiological study of hospital acquired acute kidney injury in critically ill and its effect on the survival

In the intensive care unit (ICU), acute kidney injury (AKI) is the most common cause of morbidity and mortality. Hospital-acquired acute kidney injury (HAAKI) is AKI developing after 48 h. We aimed to study the development of AKI and its associated risk factors. We conducted a longitudinal observational study. Inclusion criteria were patients > 18 years of age admitted to ICU. The primary outcome was the development of AKI as defined by Kidney Disease Improving Global Outcomes (KDIGO) criteria. A total of 273 patients were included in the study. Out of 273, 44(16.11%) patients developed AKI. The mean age was 45.80(17.39) years, and 60.81% were males. The median acute physiology and chronic health evaluation (APACHE II) and sequential organ failure assessment (SOFA) scores were 12(8–18) and 5(3–7), respectively. Diabetes mellitus (23.44%) and hypertension (23.81%) were predominant comorbidities. The risk factors associated with AKI were serum chloride level, colistin, invasive ventilation, positive end-expiratory pressure (PEEP), and fluid balance. The hospital mortality was significantly higher in patients with AKI (43.18%) as compared with no AKI (14.41%). Among the secondary outcomes, 7 (15.90%) patients required renal replacement therapy (RRT) during hospitalisation. The length of ICU stay was higher in patients with AKI 8(5–13) compared to no AKI 5(3–8). A total of 16.11% developed HAAKI, and mortality was 43.18%. Post 6 months follow-up of AKI patients, mortality was 23%. Among survivors none of the patients were on RRT.Patients admitted with normal kidney function can develop AKI. Hence, careful monitoring of ICU patients is necessary.

Diagnostic comparison of bedside lung ultrasound and chest radiography in the intensive care unit

Bedside lung ultrasound (POCUS) offers advantages over chest X-ray, including better cost-effectiveness for diagnosing certain pulmonary pathologies. This study compares the diagnostic concordance between portable chest X-rays and bedside lung ultrasounds in the intensive care unit (ICU). Adult ICU patients were included. POCUS was performed using the abbreviated BLUE protocol. Diagnostic results from POCUS and chest radiographies were compared using the intensivist clinical diagnosis - based on clinical examinations and lung ultrasounds - as the reference. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the ultrasounds were calculated. A total of 100 patients were included, 71 with pulmonary pathologies. The average time to perform the ultrasound was 308 seconds. Ultrasound identified pathology in 20 patients with a normal chest radiographs. Diagnostic discrepancies occurred in 30 patients, highlighting ultrasound´s superior sensitivity in detecting atelectasis, pleural effusions, and pulmonary edema. Ultrasound demonstrated sensitivity (S) of 85%, specificity (E) of 100%, positive predictive value (PPV) of 100%, and negative predictive value (NPV) of 55%. Lung point-of-care ultrasound at ICU admission detects more pathologies and does not miss significant abnormalities seen on chest X-rays. It also shows good diagnostic accuracy. These findings suggest that pulmonary POCUS, using an abbreviated protocol, could be a viable alternative to chest radiography for initial evaluation and follow-up of pulmonary pathologies in critically ill patients, potentially improving care quality and management.

Intensive care unit admissions following enhanced recovery video-assisted thoracoscopic surgery lobectomy.

Video-assisted thoracoscopic surgery (VATS) lobectomy combined with enhanced recovery after surgery (ERAS) protocols has improved postoperative outcomes, yet concerns persist regarding complications and readmissions. Limited research has explored intensive care unit (ICU) admissions and outcomes within this context. This study aimed to analyze ICU admissions following VATS lobectomy within an established ERAS protocol. Consecutive patients who underwent VATS lobectomy between 2018-2023 were included. Patient data were obtained from our prospective institutional database, while ICU data were extracted from electronic patients' records. Of 2099 patients included, 48 (2.3%) required ICU admission. Median-age was 70 (IQR : 64-76), with ICU patients being older and predominantly male (73%). Overall 30-day-mortality was 1.0% with an ICU mortality of 31%. Multiple logistic regression revealed significant associations between ICU admission and male gender (p = <0.001), diabetes mellitus (p = 0.026), heart failure (p = 0.040), DLCO%(0.013). Median time to ICU admission was 4 days (IQR : 2-10). Respiratory failure was the primary reason for ICU admission (60%). Severe surgical complications accounted for 8.3% of all ICU-admissions. In an ERAS setting, the incidence of ICU admission following VATS lobectomy was 2.3%, with a mortality rate of 31%. Respiratory failure was the leading cause of ICU admission.

Association between serum calcium and in-hospital mortality in critically ill atrial fibrillation patients from the MIMIC IV database

Thongprayoon et al. found in a study of 12,599 non-dialysis adult hospitalized patients that serum calcium (SC) disturbances affected more than half of the patients and were associated with increased in-hospital mortality. Similar impacts of SC disturbances on in-hospital mortality have been observed in patients with acute myocardial infarction and the general hospitalized population. Atrial fibrillation (AF), the most common arrhythmia in the intensive care unit (ICU), affects around 6% of critically ill patients. However, the significance of the relationship between SC levels and in-hospital mortality in these patients remains unclear. This study aimed to explore the correlation between SC levels and in-hospital mortality in ICU patients diagnosed with AF. Data from the MIMIC-IV database included 11,621 AF patients (average age 75.59 ± 11.74 years; 42.56% male), with an in-hospital mortality rate of 8.90%. A nonlinear relationship between SC levels and in-hospital mortality was observed. Effect sizes on either side of the inflection point were 0.79 (HR: 0.79, 95% CI 0.67–0.94, P = 0.006) and 1.12 (HR: 1.12, 95% CI 1.01–1.25, P = 0.029). Sensitivity analyses confirmed these results. SC levels around 8.56 mg/dL were associated with the lowest risk of in-hospital mortality, with risks increasing as SC levels deviated from this point. SC levels below this inflection point were linked to more pronounced clinical impacts. This finding has significant clinical implications for clinicians. Therefore, in the treatment of ICU patients with AF, clinicians should closely monitor SC levels, with a focus on maintaining them around 8.56 mg/dL.

Orexin concentrations and diurnal variation in the cerebrospinal fluid of intensive care unit patients undergoing aortic surgery with spinal drainage.

Cerebrospinal fluid (CSF) levels of orexin show a cyclic diurnal variation in healthy subjects, which is diminished in patients with certain diseases. However, possible circadian variations in orexin levels in critically ill patients remain unknown. In this study, we evaluated the orexin concentrations in the CSF and their diurnal variation in patients undergoing thoracic aortic aneurysm repair with lumbar intrathecal catheterization for CSF drainage after non-neurosurgery. Eligible patients with a lumbar intrathecal catheter placed for CSF drainage following aortic surgery at a single-center ICU between September 2019 and February 2020 were included. Catheters were placed before anesthesia induction, and CSF was collected at the time of catheter placement, ICU admission, and daily at 6:00, 12:00, 18:00, and 24:00 until the catheter was removed or for up to 5 days after admission to the ICU. Three patients (Patients A, B, and C) who underwent thoracic aortic aneurysm repair were included. Patients B and C received sedatives or hypnotics during the orexin measurement period. The baseline orexin levels for Patients A, B, and C were 219.9, 312.3, and 403.8 pg/mL, while the mean orexin levels were 319.4 ± 82.6, 372.4 ± 56.0, and 306.3 ± 48.3 pg/mL, respectively. For all three patients, orexin levels showed diurnal variations, but no consistent periodic changes. CSF orexin concentrations for patients undergoing thoracic aortic aneurysm repair in the ICU were within the reported range compared to those of previously reported healthy subjects; however, consistent periodic diurnal variations were not observed.

Impact of fever on the outcome non-anoxic acute brain injury patients: a systematic review and meta-analysis

BackgroundFever is a common condition in intensive care unit (ICU) patients, with an incidence between 30 and 50% in non-neurological ICU patients and up to 70–90% in neurological ICU patients. We aim to perform systematic review and meta-analysis of current literature to assess impact of fever on neurological outcomes and mortality of acute brain injury patients.MethodsWe searched PubMed/Medline, Scopus and Embase databases following the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement, and we included both retrospective and prospective observational studies, interventional studies, and randomized clinical trials that had data on body temperature and fever during ICU admission. The primary endpoints were neurological outcome and mortality at any time. Secondary outcomes included: early neurological deterioration, delayed cerebral ischemia (DCI, only for patients with subarachnoid hemorrhage), large infarct or hemorrhage size, hemorrhagic transformation (only for patients with ischemic stroke). This study was registered in PROSPERO (CRD42020155903).Results180 studies from 14692 records identified after the initial search were included in the final analysis, for a total of 460,825 patients. Fever was associated with an increased probability of unfavorable neurological outcome (pooled OR 2.37 [95% CI 2.08–2.71], I2:92%), death (pooled OR 1.31 [95% CI 1.28–1.34], I2:93%), neurological deterioration (pooled OR 1.10 [95% CI 1.05–1.15]), risk of DCI (pooled OR 1.96 [95% CI 1.73–2.22]), large infarct size (pooled OR 2.94 [95% CI 2.90–2.98]) and hemorrhagic transformation (pooled OR 1.63 [95% CI 1.34–1.97]) and large hemorrhagic volume (pooled OR 2.38 [95% CI 1.94–2.93]).ConclusionFever was associated with poor neurological outcomes and mortality in patients with acute brain injury. Whether normothermia should be targeted in the management of all neuro critically ill patients warrants specific research.

The Roles of Vitamin D Levels, Gla-Rich Protein (GRP) and Matrix Gla Protein (MGP), and Inflammatory Markers in Predicting Mortality in Intensive Care Patients: A New Biomarker Link?

Identifying reliable biomarkers to predict mortality in critically ill patients is crucial for optimizing management in intensive care units (ICUs). Inflammatory and metabolic markers are increasingly recognized for their prognostic value. This study aims to evaluate the association of various inflammatory and metabolic markers with ICU mortality. This prospective observational study was conducted from January 2023 to January 2024 in the City Hospital's ICU. A total of 160 critically ill patients were enrolled. Laboratory parameters, including white blood cell (WBC) count, red cell distribution width (RDW), platelet count, neutrophil count, mean platelet volume (MPV), monocyte count, lymphocyte count, procalcitonin (PCT), C-reactive protein (CRP), calcium (Ca++), and vitamin D levels, were analyzed. Additionally, ratios such as the platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), systemic inflammatory index (SII), and pan-immune-inflammation value (PIV) were calculated. Plasma levels of Gla-rich protein (GRP) and dephosphorylated uncarboxylated matrix Gla protein (dp-ucMGP) were measured using ELISA. The mean age of the patients included in the study was 60.5 ± 15.8 years. Cardiovascular disease was present in 72 patients (45%), respiratory system disease in 58 (36%), and chronic kidney disease (CKD) in 38 (24%). Additionally, 61 patients (38%) had diabetes, and 68 (42%) had hypertension. Inflammatory markers, including PLR, NLR, and PIV, were all significantly higher in non-survivors, while calcium and vitamin D levels were lower (p < 0.05). Higher WBC, RDW, neutrophil count, PLR, NLR, PIV, CRP, procalcitonin, GRP, and dp-ucMGP levels were positively correlated with longer hospital stays and increased mortality. In contrast, platelet and lymphocyte counts were negatively correlated with both outcomes (p < 0.05). Vitamin D levels showed an inverse relationship with both hospital stay and mortality, indicating that lower levels were associated with worse outcomes (p < 0.05). In multiple logistic regression analysis, elevated WBC count (OR = 1.20, p = 0.02), RDW (OR = 1.35, p = 0.01), neutrophil count (OR = 1.25, p = 0.01), MPV (OR = 1.20, p = 0.02), PLR (OR = 1.30, p = 0.01), NLR (OR = 1.40, p = 0.001), PIV (OR = 1.50, p = 0.001), CRP (OR = 1.32, p = 0.01), procalcitonin (OR = 1.45, p = 0.001), GRP (OR = 1.40, p = 0.001), and dp-ucMGP (OR = 1.30, p = 0.001) levels were significantly associated with increased mortality. Inflammatory and metabolic markers, particularly NLR, PLR, PIV, GRP, and dp-ucMGP, are strong predictors of mortality in ICU patients. These markers provide valuable insights for risk stratification and early identification of high-risk patients, potentially guiding more targeted interventions to improve outcomes.

Disease Pattern and Clinical Profile of Admitted Patients in Pediatric Intensive Care Unit of a Tertiary Care Hospital in Chattogram

Background: The care of critically ill children remains one of the most demanding and challenging aspects in the field of pediatrics. Pediatric Intensive Care Unit (PICU) aims at promoting early intervention and quality care for achieving good results and better prognosis. With the advancement in intensive care facilities, there is a dramatic increase in survival of critically ill children. It is usually offered to patients whose condition is potentially reversible and who have a good chance of surviving with intensive care support. Since these patients are critically ill, the outcome of intervention is sometimes difficult to predict. This study is aimed to assess the clinical profile of critically ill children presenting to the pediatric emergency room and then their admission pattern to the pediatric intensive care unit. This may help to assist intensivist and planners to pay due attention for better utilization of healthcare facilities. Better understanding leads to better management. Materials and methods: This is a cross-sectional study, conducted at the Pediatric Intensive Care Unit of Chattagram Maa Shishu-O-General Hospital from January to June of 2019. A total of 100 admitted cases were recruited and their symptoms and signs, clinical findings and diagnosis were recorded accordingly. All the patients were aged within 28 days to below 14 years. Results: Among the 100 study subjects, 66 were male and 34 were female. The mean age was 1.73 ± 2.6 years. Most children were admitted with respiratory distress though there were other accompanying signs and symptoms. The symptoms subjects commonly presented with were respiratory distress(76%), tachycardia(70%), lung crepitations (69%), tachypnea (68%), fever (67%), lethargy (59%), feeding difficulty (59%), convulsions (48%), low blood pressure (24%), hepatomegaly (19%), cyanosis (14%), edema (6%), congenital anomalies (4%). The clinical findings that led them to PICU admissions were bronchiolitis (4%), bronchopneumonia (42%), respiratory failure of any cause (4%), heart failure (7%), cyanotic congenital heart disease (8%), acyanoticcongenital heart disease (7%), meningitis (13%), encephalitis (12%), cerebral palsy with seizure disorder (21%), status epilepticus (2%), Gullein Barre Syndrome (3%), hyponatremic dehydration (6%), acute kidney injury (2%), acute leukemia (2%).In this study, neurological disorders such as cerebral palsy with seizure disorder and encephalitis and meningitis were among the top five in the diagnosis list. Septicemia with shock was also a very common finding promoting admission to PICU. GCS was found to be significantly lower in the above-mentioned disease conditions making admission to the ICU quite plausible. Conclusion: Children admitted to PICU may have multiple clinical findings and disease patterns. However, some diseases predominate the patient population admitted to PICU.The knowledge of clinical spectrum and epidemiological profile of critically ill children plays a significant role in the planning of health policies that would mitigate various factors related to the evolution of diseases prevalent in these sectors. Descriptive epidemiology focuses on identifying and reporting the pattern and frequency of events related to the health of a population. IAHS Medical Journal Vol 7(1), June 2024; 44-49

Based -evidence, an intervention study to improve sleep quality in awake adult ICU patients: a prospective, single-blind, clustered controlled trial

BackgroundEvidence-based guidelines advocate promoting sleep in intensive care unit (ICU) patients, yet many patients experience poor sleep quality. We sought to develop a collaborative evidence-based intervention with healthcare providers and assess whether evidence-based sleep interventions could improve sleep quality in awake adult ICU patients.MethodsWe conducted a prospective, nonrandomized cluster control trial in two intensive care units (ICUs) at a tertiary general teaching hospital in China. Patients aged 18 years or older who stayed in the ICU for one night or more and were conscious were eligible for enrollment. We only blinded the patients, not the outcome assessors. On the basis of evidence-based practice and clinical reality, we developed intervention measures for the intervention group, which mainly included four aspects: reducing environmental noise in the ICU, adjusting nursing actions, modifying nighttime lighting, and other measures. The assessment tools used were wearable actigraphy sleep monitoring devices and the Richards-Campbell Sleep Questionnaire (RCSQ). The primary outcomes were patient sleep quality, including total sleep time, deep sleep time, light sleep time, rapid eye movement (REM) time, number of awakenings, overall sleep score, and patients' self-assessment of their sleep quality that night. The data collected were analyzed via SPSS and Mplus statistical software for between-group analysis, pre-post comparison, profile analysis, and calculation of the intervention effect size.ResultsFrom September 1, 2023, to January 31, 2024, 713 patients underwent eligibility assessment, and ultimately 246 patients were included in the analysis, with 125 in the intervention group and 121 in the control group. Comparative analysis revealed no statistically significant differences in sleep quality between the two groups when the duration in the ICU = 1 night (P > 0.05), with a small intervention effect size. However, the intervention group had higher sleep quality scores (sleep monitoring wristband: 57.74 ± 22.55 > 57.72 ± 19.39; RCSQ questionnaire: 60.58 ± 22.14 > 57.61 ± 24.4) and total sleep time (440.42 ± 262.11 > 420.31 ± 236.89), a lower awakening frequency (3.98 ± 2.69 < 6.09 ± 4.66) and a lower awakening frequency (3.976 ± 2.693 < 6.09 ± 4.664) than did the control group. The sleep quality of patients who stayed in the ICU for > 1 night significantly improved in all the parameters except rapid eye movement time (min) according to the pre-post-test analyses (P < 0.05), with a medium to large intervention effect size and favorable intervention effects.ConclusionEvidence-based interventions significantly improve sleep quality in ICU patients hospitalized for more than one day. However, our results do not support the improvement of sleep quality in patients admitted to the ICU for one day.Clinical trial registration: ChiCTR2300075763, Registered 14 September 2023—Retrospectively registered, https://www.chictr.org.cn/bin/userProject

Critically ill patients will benefit from single isolated laminar-air-flow wards by improving the environmental microbial composition

BackgroundHospital-associated infection (HAI) is an important issue in intensive care units (ICUs). We still lack direct evidence on whether the ICU patients and/or the medical system can benefit from single isolated laminar-air-flow (LAF) wards.MethodsHigh-touched-surface (HTS) swabs from 5 sites in two kinds of wards with different ventilation systems were longitudinally collected for 16 S rRNA sequencing and Type IIB restriction site-associated DNA sequencing for Microbiome (2bRAD-M). Samples were collected for 3 months. The clinical data of patients admitted to different wards during the sampling time and the whole year were collected and compared.ResultsThe α-diversity of single wards with isolated LAF was significantly higher than open regions without LAF (p<0.01). β-diversity analysis showed differences between different wards and similarities among the same region. We also identified 3 genera attributed to the most difference between the two kinds of wards. 2bRAD-M analysis further revealed community divergence among different HTS sites. There was an overlap between HTS microbiome profiling and the clinically cultivated pathogens of patients with HAI. People in single wards had a better outcome than those in open regions (p<0.05), indicating that single wards had a protective effect for critically ill patients.ConclusionOverall, there was a prominent difference in the microbiome community between single wards and open regions. Single wards had more balanced communities which may lead to better outcomes for patients. For critically ill patients, single ward is recommended when arranging and constructing.

External validation of a modified cardiovascular sequential organ failure assessment score in patients with suspected infection using the MIMIC-IV database.

We developed a modified cardiovascular (CV) Sequential Organ Failure Assessment (SOFA) score using an emergency department-based cohort data, incorporating norepinephrine equivalent dose and lactate to represent current clinical practice patterns for vasopressor utilization and the diagnostic significance of lactate, respectively. In this study, we sought to validate this modified CV-SOFA score in intensive care unit patients with suspected infection using the Marketplace for Medical Information in Intensive Care (MIMIC)-IV database. This was a retrospective study that utilized data from the MIMIC-IV database. Modified CV/total SOFA score and original CV/total SOFA score were compared for predicting in-hospital mortality. Area under the receiver operating characteristic curve (AUROC) and the calibration curve were employed to evaluate discrimination and calibration, respectively. A total of 29,618 ICU patients with suspected infections was analyzed. The in-hospital mortality rate was 12.4% (n = 3,675). Modified CV-SOFA score (AUROC 0.667; 95% confidence interval [CI] 0.657-0.677 vs. 0.663; 95% CI 0.654-0.673; p = 0.283) and modified total SOFA score (0.784 [95% CI 0.776-0.793] vs. 0.785 [95% CI 0.777-0.793], p = 0.490) did not differ significantly from the original CV-SOFA score and original total SOFA score, respectively. The calibration curve of the original CV-SOFA score was inferior to that of the modified CV-SOFA score. The modified CV- and total SOFA scores were better calibrated than the original CV- and total SOFA scores, but their discriminative performance was not significantly different. Further studies of the modified CV-SOFA score in different settings and populations are required to assess the generalizability of this score.

Abstract 4137689: Artificial Intelligence Assessment of Diastolic Dysfunction by Electrocardiogram: Outcomes in Cardiac Intensive Care Unit Patients

Background: Left ventricular diastolic dysfunction (LVDD) predicts mortality in cardiac intensive care unit (CICU) patients. A novel artificial intelligence enhanced electrocardiogram (AIECG) algorithm can predict LVDD and mortality in general populations but has not been examined in the cardiac intensive care unit (CICU). We aim to assess if LVDD by AI-ECG is associated with in-hospital and one-year mortality in CICU patients. Methods: In this retrospective cohort study, we included consecutive unique adults admitted to the Mayo Clinic CICU from 2007 to 2018 with an admission AIECG, which AI assigned LVDD grade (0 to 3). Medial mitral E/e’ ratio &gt;15 on transthoracic echocardiogram (TTE) defined elevated filling pressures. AIECG and TTE assessment of LVDD were used to assign patients to four groups based on TTE as gold standard: true and false negative, and true and false positive. In-hospital mortality was evaluated using multivariable logistic regression. One-year survival was evaluated using Kaplan-Meier curves and multivariable Cox proportional-hazards. Results: We included 11,868 patients (median age 69.5 years, 37.7% females); 48% had heart failure and 44% had acute coronary syndromes. AIECG LVDD grades were: grade 0 (normal), 33%; grade 1, 7%; grade 2, 39%; grade 3, 21%. In-hospital (adjusted OR) and one-year (adjusted HR) mortality increased in each higher AIECG LVDD grade (Figure A/B), before and after adjustment including TTE measurements. Patients with grade 2-3 LVDD by AIECG and medial mitral E/e’ ratio &gt;15 by TTE (true positive) had the highest in-hospital (adjusted OR 2.5 [1.7-3.9]) and one-year (adjusted HR 1.9 [1.5-2.5]) mortality (Figure C/D), and mortality was elevated similarly in patients with either grade 2-3 LVDD by AIECG (false positive) or medial mitral E/e’ ratio &gt;15 by TTE (false negative). Conclusions: The AIECG LVDD grade was strongly associated with in-hospital and one-year mortality in CICU patients, even after adjusting for clinical variables and TTE measurements. Patients with concordant AIECG and TTE for elevated filling pressures (true positive) were at highest risk.