Perspectives on non-emergent neonatal intensive care unit to pediatric intensive care unit care transfers in the United States

BACKGROUND There is a substantial population of long-stay patients who non-emergently transfer directly from the neonatal intensive care unit(NICU)to the pediatric intensive care unit(PICU)without an interim discharge home.These infants are often medically complex and have higher mortality relative to NICU or PICUonly admissions.Given an absence of data surrounding practice patterns for nonemergent NICU to PICU transfers,we hypothesized that we would encounter a broad spectrum of current practices and a high proportion of dissatisfaction with current processes.AIM To characterize non-emergent NICU to PICU transfer practices across the United States and query PICU providers’evaluations of their effectiveness.METHODS A cross-sectional survey was drafted,piloted,and sent to one physician representative from each of 115 PICUs across the United States based on membership in the PARK-PICU research consortium and membership in the Children’s Hospital Association.The survey was administered via internet(REDCap).Analysis was performed using STATA,primarily consisting of descriptive statistics,though logistic regressions were run examining the relationship between specific transfer steps,hospital characteristics,and effectiveness of transfer.RESULTS One PICU attending from each of 81 institutions in the United States completed the survey(overall 70%response rate).Over half(52%)indicated their hospital transfers patients without using set clinical criteria,and only 33%indicated that their hospital has a standardized protocol to facilitate non-emergent transfer.Fewer than half of respondents reported that their institution’s nonemergent NICU to PICU transfer practices were effective for clinicians(47%)or patient families(38%).Respondents evaluated their centers’transfers as less effective when they lacked any transfer criteria(P=0.027)or set transfer protocols(P=0.007).Respondents overwhelmingly agreed that having set clinical criteria and standardized protocols for non-emergent transfer were important to the patient-family experience and patient safety.CONCLUSION Most hospitals lacked any clinical criteria or protocols for non-emergent NICU to PICU transfers.More positive perceptions of transfer effectiveness were found among those with set criteria and/or transfer protocols.

Study on the Effect of Early Oral Motor Intervention in Preterm Infants in Neonatal Intensive Care Unit

Objective:To study the effective value of introducing the concept of early oral exercise in the process of nursing intervention for preterm infants in the neonatal intensive care unit(NICU).Methods:96 cases of preterm infants diagnosed from January 2022 to August 2022 were selected and randomly divided into two groups:the general practice group(general nursing intervention),and the early practice group(early oral exercise intervention),and the effect of intervention on preterm infants in the two groups was observed.Results:After nursing care,the mean value of the non-nutritive sucking ability assessment(76.54±5.82),the mean value of the intellectual development degree assessment(104.57±8.45),the mean value of the psychomotor development degree assessment(102.33±6.74),and the mean value of behavioral neural reflexes ability assessment(38.71±2.40)in the early practice group were better than that as compared to the general practice group(P<0.05);the mean value of oral feeding start time of preterm infants in the early practice group(35.42±7.63)weeks,the mean value of all oral feeding time(34.12±5.28)weeks,and the mean time of hospital intervention(15.33±4.25)days were lesser than compared to those of the general practice group at 37.4±5.82 weeks,37.46±3.55 weeks,and 20.46±2.91 days,respectively(P<0.05);the rate of adverse reactions in preterm infants in the early practice group significantly lower than that of the general practice group(P<0.05).Conclusion:The introduction of the concept of early oral exercise intervention among NICU nurses improved the feeding effect,sucking ability of preterm infants,and intellectual development.Hence,early oral motor care should be popularized.

The trajectories of physical growth in 4 months postnatal corrected age among preterm infants discharged from neonatal intensive care units and associated factors: A prospective study

Objectives Growth retardation is a risk for premature infants.In addition to demographic and perinatal factors,preterm infants’physical growth may be affected by neonatal intensive care unit(NICU)stress,maternal postpartum depression,and mother-infant interaction.This study aimed to investigate the trajectories of physical growth in 4 months corrected age among preterm infants discharged from the NICU and the impactors on these trajectories.Methods A prospective study was conducted among 318 preterm infants from September 2019 to April 2021 in Shanghai,China.Latent growth modeling was applied to identify the weight,length,and head circumference growth trajectories in 4 months corrected age and explore the effects of demographic and medical characteristics,infant stress during NICU stay,maternal postpartum depression,and mother-infant interaction on each trajectory.Results Unconditional latent growth models showed curve trajectories with increasingly slower growth in weight,length,and head circumference until 4 months of corrected age.Conditional latent growth models showed that a longer length of stay in the NICU and more skin punctures were negatively associated with weight at 40 weeks corrected gestational age(β=−0.43 and−0.19,respectively,P<0.05).The maternal postpartum depression between 40 weeks corrected gestational age and 1 month corrected postnatal age was associated with a lower growth rate of length(β=−0.17,P=0.040),while between 2 and 3 months corrected postnatal age,there were lower growth rates of weight and head circumference(β=−0.15 and−0.19,respectively,P<0.05).The mother-infant interaction scores between 40 weeks corrected gestational age and 1 month corrected postnatal age negatively predicted the growth rate of weight(β=−0.19,P=0.020).Conclusion The physical growth trajectories of preterm infants discharged from the NICU were influenced by infant stress during the NICU stay,maternal postpartum depression and mother-infant interaction.

Liquid Chromatography-tandem Mass Spectrometry for Analysis of Acylcarnitines in Dried Blood Specimens Collected at Autopsy from Neonatal Intensive Care Unit

Objective To investigate the feasibility of analyzing acylcarnitine in dry filter-paper blood spots by liquid chromatography-tandem mass spectrometry(LC-MS/MS) which could be applied to detect inborn errors of metabolism in neonates.Methods We obtained filter-paper blood from 26 dead infants from a neonatal intensive care unit(NICU) between October 1,2008 and September 30,2009.Acylcarnitine and amino acid profiles were obtained with LC-MS/MS.Four infants underwent routine autopsy.The postmortem blood specimens were compared with newborn blood specimens,and with specimens obtained from older infants with metabolic disorders.Results Of all the 26 patients,5(19.2%) were diagnosed as having different kinds of diseases:3 with methylmalonic acidemia(the concentration of C3,and the ratio of C3/C16,C3/C2 increased),1 with maple syrup urine disease(the concentration of leucine and isoleucine increased),and 1 with isovaleric aci-demia(the concentration of C5 increased).Conclusions Postmortem metabolic test can explain infant deaths and provide estimates of deaths attributable to inborn errors of metabolism in NICU.LC-MS/MS is suitable for analysis of postmortem specimens and can be considered for routine application in NICU autopsy.

Prevalence and Spectrum of Complex Congenital Heart Disease in the Neonatal Intensive Care Unit at High Altitude in China

Background:Previous studies from high altitudes have reported significantly higher prevalence of congenital heart disease(CHD),consisting almost solely of simple CHD.Little is known about the occurrence of complex CHD.Neonates with complex CHD are likely admitted to NICU.We examined the prevalence and spectrum of complex CHD in NICU in order to depict a truer picture of CHD at high altitude.Methods:We reviewed charts of 4,214 neonates admitted to NICU in Qinghai province(average altitude 3,000 m).Echocardiography was performed in 1,943 babies when CHD was suspected based on clinical examinations.Results:CHD was diagnosed in 1,093(56.3%of echoed babies).Mild CHD in 96.8%(1058 babies).Moderate CHD in 0.8%(9)included 1(0.1%)large secundum atrial septal defect,3(0.3%)moderate pulmonary stenosis,2(0.2%)aortic stenosis and 3(0.3%)partial anomalous pulmonary venous connection.Severe CHD in 2.4%(26)included 6(0.5%)complete atrioventricular septal defect,5(0.5%)complete transposition of the great arteries,5(0.5%)hypoplastic right heart,3(0.3%)hypoplastic left heart,3(0.3%)double outlet right ventricle,3(0.3%)tetralogy of Fallot,2(0.2%)truncus arteriosus,2(0.2%)total anomalous pulmonary venous connection,2(0.2%)severe aortic stenosis,2(0.2%)interrupted aortic arch and 2(0.2%)severe pulmonary stenosis and 1(0.1%)single-ventricle abnormality.At two-years follow-up in 737(67.4%)patients,18(90%)with severe CHD and 38(5.3%)with mild and moderate CHD died,and 15 underwent cardiac surgery with 1 early death.Conclusions:At high altitude,a wide spectrum of CHD exists,with many heretofore unreported complex CHD.There is urgent need for routine echocardiography and early interventions in newborns particularly in NICU.

Effects of parental involvement in infant care in neonatal intensive care units:a meta-analysis

Objective： This meta-analysis aimed to examine the effects of parental involvement in infant care in neonatal intensive care units （NlCUs）. Methods： PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure （CNKI）, Wanfang database, and VIP database were searched till November 2017. Randomized controlled trials （RCTs） and controlled clinical trials （CCTs） examining the effect of parental involvement in the NICU were considered for inclusion. Resulls： We included 10 studies （three RCTs, seven CCTs） with a total of 1,851 participants. The meta-analysis demonstrated that there were no statistically significant differences on nosocomial infection between two groups （risk ratio [RR] = 0.90, 95% CI 0.63-1.30, P = 0.58）. Compared with no parental involvement groups, parental involvement groups showed more weight gain （mean difference [MD] = 1.47, 95% CI 0.65-2.29, P 〈 0.05）, higher breast-feeding rate （RR = 1.38, 95% CI 1.25-1.53, P 〈 0.05）, lower readmission rate （RR = 0.35, 95% CI 0.15-0.80, P 〈 0.05）, and higher satisfaction rate （RR = 1.09, 95% CI 1.02-1.16, P 〈 0.05）.Conclusions： Parentaiinvolvement in the NICU interventions could not increase the rate of nosocomial infection of neonates, but could improve their weight gain, breast-feeding and parental satisfaction and decrease their readmission. However, since the conclusion of this meta-analysis was drawn based on the limited number of high-quality RCTs, more hioh-quality studies should be conducted in the future to confirm its positive intervention effects.

Supporting mothers to bond with their newborn babies:Strategies used in a neonatal intensive care unit at a tertiary hospital in Malawi

Background:Maternalenewborn bonding during the first hours of is crucial to infant development.Effective bonding requires that newborn baby and mother be close to each another,so that the baby can signal his/her needs and the mother can respond.However,normal bonding process is hindered by illness,as the infants will be separated from their mothers and admitted to neonatal intensive care units.No study has explored the techniques applied by nurses and midwives to facilitate bonding between mothers and their sick newborn babies admitted in neonatal intensive care units in Malawi.Purpose:This study aimed to investigate the strategies for supporting maternalenewborn bonding for mothers whose neonates were admitted to an intensive care unit at a tertiary hospital in Malawi.Methods:An explorative qualitative design was used,and 15 participants(10 mothers and five nurses/midwives)were recruited.Data were collected by conducting in-depth interviews.Audio recorded data were transcribed verbatim and analyzed by utilizing ATLAS.ti version 7 in accordance with Hennink's stages of content analysis.Results:It was showed that nurses and midwives used different approaches to facilitate maternal enewborn bonding.The responses revealed two major themes:motherenewborn interaction and motherenurse/midwife interaction.Motherenewborn interaction involved breastfeeding and maternal involvement in newborn care,whereas motherenurse/midwife interaction involved effective communication and psychosocial support.Maternalenewborn bonding promotes a mother's successful transition into motherhood,nurses and midwives should actively initiate strategies facilitating early maternal enewborn bonding.

Mothers’experiences of neonatal intensive care:A systematic review and implications for clinical practice

BACKGROUND Preterm birth is on the rise worldwide.Neonatal intensive care units(NICUs)have enabled many critically ill newborns to survive.When a premature baby is admitted to the NICU,the mother–infant relationship may be interrupted,affecting the mother's mental health.AIM To examine the maternal emotions associated with having a child in the NICU and provide suggestions for clinical practice.METHODS MEDLINE,CINAHL,PsychARTICLES,and PsychINFO were searched for relevant articles between 2005 to 2019,and six qualitative articles were chosen that explored the experiences of mothers who had a preterm infant in the NICU.The thematic analysis method was used to identify the most common themes.RESULTS Four main themes of the experience of mothers who had a preterm infant in the NICU were identified:Negative emotional impacts on the mother,support,barriers to parenting,and establishment of a loving relationship.CONCLUSION NICU environment is not conducive to mother-child bonding,but we stipulate steps that health care professionals can take to reduce the negative emotional toll on mothers of NICU babies.

The Incidence of Respiratory Distress Syndrome among Preterm Infants Admitted to Neonatal Intensive Care Unit: A Retrospective Study

Background: Respiratory distress syndrome (RDS) or hyaline membrane disease (HMD) is the most common cause of neonatal morbidity and mortality in preterm infants. We aimed to determine the frequency of RDS among 3 groups of preterm infants and the value of some related factors. Methods: A cross-sectional, descriptive analytical investigation was carried out in the NICU ward of Akbarabadi Hospital (Tehran-Iran) during spring 2011. Newborns’ data were collected and assessed by using their hospital medical records. Seventy-three preterm infants with gestational age < 34 weeks were hospitalized in the NICU. All participants were divided into 3 groups: extremely preterm (<28 weeks), very preterm (28 to <32 weeks) and moderate preterm (32 to 34 weeks). Frequency of RDS and some related factors were compared among 3 groups. Results: RDS was observed in 65.6% of all participants;however frequency of RDS was not different between three groups. An inversely correlation was found between gestational age and mortality rate (p = 0.05). In regard to Betamethasone administration prior to birth, this interval was significantly longer in alive neonates in comparison to infants who died (p < 0.05). Conclusion: RDS was frequent in preterm neonates with gestational age < 32 weeks. Time of Betamethasone administration prior to birth can significantly influence on neonatal mortality rate.

Mothers’ Knowledge of Health Caring for Premature Infants after Discharge from Neonatal Intensive Care Units in the Gaza Strip, Palestine

Background: Preterm labor is one of the most public health problems related to neonates admitted to Neonatal Intensive Care Unit (NICU). Poor knowledge among mothers about the care requirements of a preterm neonate is immediate cause for post-discharge medical problems in premature and neonates readmission to NICU. Hence, this study aims to evaluate mothers’ knowledge of caring for premature infants post-discharge from Neonatal Intensive Care Units in the Gaza strip. Methods: A Quantitative-based cross-sectional designs study was used to survey 120 mothers of preterm neonates at the time of preterm neonates discharge by face-to-face interview at Al-Shifa medical complex and Nasser hospital between February and June 2018. Results: The results showed that only about 58.4% of mothers of premature babies had good knowledge about health care needed for premature infants after discharge from NICU. Furthermore, there was no statistically significant difference between the level of knowledge and mother’s sociodemographic characteristics (P-values > 0.05). Conclusion: Mothers’ knowledge of premature infants care was not at the optimal level, which might put the newborns at risk. Therefore, the study emphasizes the necessity of thoughtful exchange of health information between team members and mothers and establishing pre- and post-discharge plans with mothers to start their healthy transition of preterm neonate to home and to ameliorate family concerns.

Healthcare Associated Infection in the Neonatal Intensive Care Unit of King Abdl Aziz Specialist Hospital, Taif, KSA

Healthcare-associated infection is a common problem of newborn in neonatal intensive care units. It results in high mortality rate and serious complications. The Aim: to assess the incidence, etiology and the mortality of healthcareassociated infections of patients in neonatal intensive care unit at King Abdl Aziz Specialist Hospital (KAASH), Taif, Kingdom of Saudi Arabia. Material and Methods: This is a retrospective study including 8033 neonates admitted to neonatal intensive care unit during period between April, 2006 and December, 2012. The health-care associated infection rate, mortality rate, causative organism and risk factors were studied. Results: The prevalence of health-care associated infection was found to be 6.03%;the mortality rate was 27.1%. The highest prevalence was among children with the birth weight below 1000 g. The most frequent causative pathogen was klebseilla spp, followed by other gram negative bacilli. Conclusion: The rate of healthcare-associated infections in neonatal intensive care unit at KAASH was relatively high. In addition, the mortality rate was observed to be high (27.1%) owing to the high virulence of the causative organisms.

Optimization of Exposure Conditions for Computed Radiology Exams in Neonatal Intensive Care

This paper performs a review of existing literature about neonatal imaging in intensive care;we notice that the multiplicity of approaches results in different and sometimes conflicting solutions to optimize acquisition technique of X-ray images. European Guidelines still refer to screen-film combinations used in past decades, current usage of digital technology requires an additional effort to reduce dose to infants and to optimize the sensor’s response exploiting their properties. In this work we investigate response changes of digital medium (computed radiography plates), due to alterations of the beam through incubators components. All combinations in use in our Hospital were tested for evaluating dosimetry and image quality and new exposure solutions were devised to optimize radiology exams, taking into account solutions suggested by the equipments makers. Dose measured was compared with dose levels suggested by European Guidelines, evaluating radiation-induced risk too. Image quality was evaluated in a double-blind comparison by radiologists. An easily repeatable optimization procedure is proposed intended to reduce delivered dose well below European guidelines. The proposed study allowed us to instruct the technologists on the most appropriate methodology for performing the radiology exam, by standardizing the approach to Neonatal Intensive Care Units. We have demonstrated also to radiologic technologists reluctant to use the X-ray tray, as it may optimize imaging in the incubator. We were also able to reduce dose—and radiation-induced risk too—of 37% - 67% depending on the previously used operating mode.

Predicting intensive care unit-acquired weakness:A multilayer perceptron neural network approach

In this editorial,we comment on the article by Wang and Long,published in a recent issue of the World Journal of Clinical Cases.The article addresses the challenge of predicting intensive care unit-acquired weakness(ICUAW),a neuromuscular disorder affecting critically ill patients,by employing a novel processing strategy based on repeated machine learning.The editorial presents a dataset comprising clinical,demographic,and laboratory variables from intensive care unit(ICU)patients and employs a multilayer perceptron neural network model to predict ICUAW.The authors also performed a feature importance analysis to identify the most relevant risk factors for ICUAW.This editorial contributes to the growing body of literature on predictive modeling in critical care,offering insights into the potential of machine learning approaches to improve patient outcomes and guide clinical decision-making in the ICU setting.

Machine learning insights on intensive care unit-acquired weakness

Intensive care unit-acquired weakness(ICU-AW)significantly hampers patient recovery and increases morbidity.With the absence of established preventive strategies,this study utilizes advanced machine learning methodologies to unearth key predictors of ICU-AW.Employing a sophisticated multilayer perceptron neural network,the research methodically assesses the predictive power for ICU-AW,pinpointing the length of ICU stay and duration of mechanical ventilation as pivotal risk factors.The findings advocate for minimizing these elements as a preventive approach,offering a novel perspective on combating ICU-AW.This research illuminates critical risk factors and lays the groundwork for future explorations into effective prevention and intervention strategies.

In-hospital new-onset seizures in patients admitted to the medical intensive care unit:An observational study and algorithmic approach

BACKGROUND Seizures are one of the most common neurological complications encountered in the intensive care unit(ICU).They can occur in the background of exacerbation of a known neurological disease or secondary to non-neurological conditions such as sepsis and metabolic disturbances.However,there is a paucity of literature on the incidence and pattern of new-onset seizures in ICUs.AIM To study the incidence and patterns of new-onset seizures in patients admitted to the medical ICU.METHODS This was a prospective,multicenter,observational study performed in two tertiary care centers in Hyderabad,India over a period of 1 year.Patients upon ICU admission,who developed new-onset generalized tonic clonic seizures(GTCS),were enrolled.Those with a pre-existing seizure disorder,acute cerebrovascular accident,head injury,known structural brain lesions,or chronic liver disease were excluded as they have a higher likelihood of developing seizures.All enrolled patients were subjected to biochemical routines,radiological imaging of either computed tomography or magnetic resonance imaging,and other relevant laboratory tests as per clinical suspicion according to the protocol,and their data were recorded.Statistical analyses were conducted using descriptive statistics,χ2 tests,and linear regression.RESULTS A total of 61 of 2522 patients developed GTCS.Among all etiologies of seizures,metabolic causes were most frequent(35%)followed by infective causes(27%)and others(new-onset structural,drug withdrawal,druginduced,toxicology-related,and miscellaneous factors).Logistic regression analysis showed that increased sodium and calcium levels were associated with a lower likelihood of developing seizures.CONCLUSION This study identified the etiology of new-onset seizures developing in critically ill patients admitted to the ICU.These findings highlight the need for targeted monitoring of those at risk of developing seizures.

Significant risk factors for intensive care unit-acquired weakness:A processing strategy based on repeated machine learning

BACKGROUND Intensive care unit-acquired weakness(ICU-AW)is a common complication that significantly impacts the patient's recovery process,even leading to adverse outcomes.Currently,there is a lack of effective preventive measures.AIM To identify significant risk factors for ICU-AW through iterative machine learning techniques and offer recommendations for its prevention and treatment.METHODS Patients were categorized into ICU-AW and non-ICU-AW groups on the 14th day post-ICU admission.Relevant data from the initial 14 d of ICU stay,such as age,comorbidities,sedative dosage,vasopressor dosage,duration of mechanical ventilation,length of ICU stay,and rehabilitation therapy,were gathered.The relationships between these variables and ICU-AW were examined.Utilizing iterative machine learning techniques,a multilayer perceptron neural network model was developed,and its predictive performance for ICU-AW was assessed using the receiver operating characteristic curve.RESULTS Within the ICU-AW group,age,duration of mechanical ventilation,lorazepam dosage,adrenaline dosage,and length of ICU stay were significantly higher than in the non-ICU-AW group.Additionally,sepsis,multiple organ dysfunction syndrome,hypoalbuminemia,acute heart failure,respiratory failure,acute kidney injury,anemia,stress-related gastrointestinal bleeding,shock,hypertension,coronary artery disease,malignant tumors,and rehabilitation therapy ratios were significantly higher in the ICU-AW group,demonstrating statistical significance.The most influential factors contributing to ICU-AW were identified as the length of ICU stay(100.0%)and the duration of mechanical ventilation(54.9%).The neural network model predicted ICU-AW with an area under the curve of 0.941,sensitivity of 92.2%,and specificity of 82.7%.CONCLUSION The main factors influencing ICU-AW are the length of ICU stay and the duration of mechanical ventilation.A primary preventive strategy,when feasible,involves minimizing both ICU stay and mechanical ventilation duration.

Discharging patients home from the intensive care unit:A new trend

Discharging patients directly to home from the intensive care unit(ICU)is becoming a new trend.This review examines the feasibility,benefits,challenges,and considerations of directly discharging ICU patients.By analyzing available evidence and healthcare professionals'experiences,the review explores the potential impacts on patient outcomes and healthcare systems.The practice of direct discharge from the ICU presents both opportunities and complexities.While it can potentially reduce costs,enhance patient comfort,and mitigate complications linked to extended hospitalization,it necessitates meticulous patient selection and robust post-discharge support mechanisms.Implementing this strategy successfully mandates the availability of home-based care services and a careful assessment of the patient's readiness for the transition.Through critical evaluation of existing literature,this review underscores the significance of tailored patient selection criteria and comprehensive post-discharge support systems to ensure patient safety and optimal recovery.The insights provided contribute evidence-based recommendations for refining the direct discharge approach,fostering improved patient outcomes,heightened satisfaction,and streamlined healthcare processes.Ultimately,the review seeks to balance patientcentered care and effective resource utilization within ICU discharge strategies.

Unveiling significant risk factors for intensive care unit-acquired weakness:Advancing preventive care

In this editorial,we discuss an article titled,“Significant risk factors for intensive care unit-acquired weakness:A processing strategy based on repeated machine learning,”published in a recent issue of the World Journal of Clinical Cases.Intensive care unit-acquired weakness(ICU-AW)is a debilitating condition that affects critically ill patients,with significant implications for patient outcomes and their quality of life.This study explored the use of artificial intelligence and machine learning techniques to predict ICU-AW occurrence and identify key risk factors.Data from a cohort of 1063 adult intensive care unit(ICU)patients were analyzed,with a particular emphasis on variables such as duration of ICU stay,duration of mechanical ventilation,doses of sedatives and vasopressors,and underlying comorbidities.A multilayer perceptron neural network model was developed,which exhibited a remarkable impressive prediction accuracy of 86.2%on the training set and 85.5%on the test set.The study highlights the importance of early prediction and intervention in mitigating ICU-AW risk and improving patient outcomes.

Evaluation of the effectiveness of preventive nursing measures for pressure injuries in patients in the neurology intensive care unit

BACKGROUND Patients in neurology intensive care units(ICU)are prone to pressure injuries(PU)due to factors such as severe illness,long-term bed rest,and physiological dysfunction.PU not only causes pain and complications to patients,but also increases medical burden,prolongs hospitalization time,and affects the recovery process.AIM To evaluate and optimize the effectiveness of pressure injury prevention nursing measures in neurology ICU patients.METHODS A retrospective study was conducted,and 60 patients who were admitted to the ICU of the Department of Neurology were selected and divided into an observation group and a control group according to the order of admission,with 30 people in each group.The observation group implemented pressure injury prevention and nursing measures,while the control group adopted routine care.RESULTS Comparison between observation and control groups following pressure injury prevention nursing intervention revealed significantly lower incidence rates in the observation group compared to the control group at 48 h(8.3%vs 26.7%),7 d(16.7%vs 43.3%),and 14 d(20.0%vs 50.0%).This suggests a substantial reduction in pressure injury incidence in the observation group,with the gap widening over time.Additionally,patients in the observation group exhibited quicker recovery,with a shorter average time to get out of bed(48 h vs 72 h)and a shorter average length of stay(12 d vs 15 d)compared to the control group.Furthermore,post-intervention,patients in the observation group reported significantly improved quality of life scores,including higher scores in body satisfaction,feeling and function,and comfort(both psychological and physiological),indicating enhanced overall well-being and comfort following the implementation of pressure injury prevention nursing measures.CONCLUSION Implementing pressure injury preventive care measures for neurology ICU patients will have better results.

Development and validation of a nomogram for predicting in-hospital mortality of intensive care unit patients with liver cirrhosis

BACKGROUND Liver cirrhosis patients admitted to intensive care unit(ICU)have a high mortality rate.AIM To establish and validate a nomogram for predicting in-hospital mortality of ICU patients with liver cirrhosis.METHODS We extracted demographic,etiological,vital sign,laboratory test,comorbidity,complication,treatment,and severity score data of liver cirrhosis patients from the Medical Information Mart for Intensive Care IV(MIMIC-IV)and electronic ICU(eICU)collaborative research database(eICU-CRD).Predictor selection and model building were based on the MIMIC-IV dataset.The variables selected through least absolute shrinkage and selection operator analysis were further screened through multivariate regression analysis to obtain final predictors.The final predictors were included in the multivariate logistic regression model,which was used to construct a nomogram.Finally,we conducted external validation using the eICU-CRD.The area under the receiver operating characteristic curve(AUC),decision curve,and calibration curve were used to assess the efficacy of the models.RESULTS Risk factors,including the mean respiratory rate,mean systolic blood pressure,mean heart rate,white blood cells,international normalized ratio,total bilirubin,age,invasive ventilation,vasopressor use,maximum stage of acute kidney injury,and sequential organ failure assessment score,were included in the multivariate logistic regression.The model achieved AUCs of 0.864 and 0.808 in the MIMIC-IV and eICU-CRD databases,respectively.The calibration curve also confirmed the predictive ability of the model,while the decision curve confirmed its clinical value.CONCLUSION The nomogram has high accuracy in predicting in-hospital mortality.Improving the included predictors may help improve the prognosis of patients.