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.

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.

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.

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.

Pioneering role of machine learning in unveiling intensive care unitacquired weakness

In the research published in the World Journal of Clinical Cases,Wang and Long conducted a quantitative analysis to delineate the risk factors for intensive care unit-acquired weakness(ICU-AW)utilizing advanced machine learning methodologies.The study employed a multilayer perceptron neural network to accurately predict the incidence of ICU-AW,focusing on critical variables such as ICU stay duration and mechanical ventilation.This research marks a significant advancement in applying machine learning to clinical diagnostics,offering a new paradigm for predictive medicine in critical care.It underscores the importance of integrating artificial intelligence technologies in clinical practice to enhance patient management strategies and calls for interdisciplinary collaboration to drive innovation in healthcare.

Improvement of the nutritional support management system for patients in intensive care units

BACKGROUND Nutritional support for patients hospitalized in the intensive care unit(ICU)is an important part of clinical treatment and care,but there are significant implementation difficulties.AIM To introduce a modified nutritional support management system for ICU patients based on closed-loop information management and psychological counseling.METHODS The division of functions,personnel training,system construction,development of an intelligent decision-making software system,quality control,and improvement of the whole process were carried out to systematically manage nutritional support for ICU patients.RESULTS Following the implementation of the whole process management system,the scores of ICU medical staff’s knowledge,attitudes/beliefs,and practices regarding nutritional support were comprehensively enhanced.The proportion of hospital bed-days of total enteral nutrition(EN)in ICU patients increased from 5.58%to 11.46%,and the proportion of EN plus parenteral nutrition increased from 42.71%to 47.07%.The rate of EN initiation within 48 h of ICU admission increased from 37.50%to 48.28%,and the EN compliance rate within 72 h elevated from 20.59%to 31.72%.After the implementation of the project,the Self-rating Anxiety Scale score decreased from 61.07±9.91 points to 52.03±9.02 points,the Self-rating Depression Scale score reduced from 62.47±10.50 points to 56.34±9.83 points,and the ICU stay decreased from 5.76±2.77 d to 5.10±2.12 d.CONCLUSION The nutritional support management system based on closed-loop information management and psychological counseling achieved remarkable results in clinical applications in ICU patients.

Acute pancreatitis in the critical care setting:A review of assessment and intervention strategies

The incidence of acute pancreatitis(AP),a condition characterized by inflammation in the pancreas,has been increasing globally and is associated with several complications.This review elaborated on the etiology,clinical presentation,severity assessment,and treatment modalities of AP,mainly in the critical care setting.Patients with severe AP,as indicated by organ failure(>48 hours from onset),warrant treatment in the intensive care unit setting.The most common etiologies,biliary disease and alcohol consumption,and the advanced diagnostic tools used for the identification of the cause are highlighted.Different severity assessment tools are utilized for grading the severity of the disease,predicting patient outcomes,determining the associated risk,and guiding treatment decisions.The treatment interventions comprise various approaches,such as anti-infective therapy enteral nutrition,analgesics for pain,or minimally invasive surgical procedures,thereby demonstrating an evolving landscape of AP management.Furthermore,various complications such as necrosis,organ failure,and hemorrhage,necessitate disease monitoring and differential diagnosis and are crucial for optimal management of patients.Novel treatment modalities and advancements in multidisciplinary care emphasize the potential for reducing the burden of AP in critical care settings.

Effects of strengthening prospective nursing practice on sleep quality,anxiety,and depression of awake patients in intensive care unit

BACKGROUND The intensive care unit(ICU)is a specialized hospital department.Awake patients in the ICU frequently encounter adverse psychological states,such as anxiety and fear,often accompanied by poor sleep quality.This situation has garnered significant attention within the medical community.AIM To investigate the impact of prospective nursing intervention strategies on the sleep quality and negative emotional state of conscious ICU patients.METHODS One hundred and twenty ICU awake patients admitted to our hospital were selected and randomly divided into control(n=60)and observation(n=60)groups.Patients in the control group were cared for using the conventional nursing model,while patients in the observation group were cared for using the prospective nursing model.Sleep improvement was assessed using the International Standardized Sleep Efficiency Formula and Pittsburgh Sleep Quality Index(PSQI).The PSQI,Generalized Anxiety Disorder 7-item(GAD-7)scale,Self-Depression Scale(SDS),and satisfaction before and after treatment were used to assess the negative emotional states of patients under the two care models.RESULTS Patient satisfaction in the observation group was significantly higher than in the control group.The GAD-7 and SDS scores in the observation group were significantly lower than those in the control group,and the total effective rate of sleep improvement in the observation group was significantly higher than in the control group.After treatment,the PSQI scores of the two groups significantly decreased(P<0.05).The decrease in the observation group was more significan than that in the control group,and the difference between the two groups was statistically significant.CONCLUSION Prospective nursing interventions can improve sleep quality and psychological levels and significantly affect conscious patients in the ICU,which is worthy of clinical application.

Application of psychological intervention in intensive care unit nursing for patients with severe acute pancreatitis

BACKGROUND Severe acute pancreatitis(SAP)is a familiar critical disease in the intensive care unit(ICU)patients.Nursing staff are important spiritual pillars during the treatment of patients,and in addition to routine nursing,more attention needs be paid to the patient’s psychological changes.AIM To investigate the effects of psychological intervention in ICU patients with SAP.METHODS One hundred ICU patients with SAP were hospitalized in the authors’hospital between 2020 and 2023 were selected,and divided into observation and control groups per the hospitalization order.The control and observation groups received routine nursing and psychological interventions,respectively.Two groups are being compared,using the Self-rating Anxiety Scale(SAS),Self-Determination Scale(SDS),Acute Physiology and Chronic Health Evaluation(APACHE)Ⅱ,and 36-item Short Form Health Survey(SF-36)scores;nursing satisfaction of patients;ICU care duration;length of stay;hospitalization expenses;and the incidence of complications.RESULTS After nursing,the SDS,SAS,and APACHEⅡ scores in the experimental group were significantly lower than in the control group(P<0.05).The SF-36 scores in the observation group were significantly higher than those in the control group(P<0.05).The nursing satisfaction of patients in the experimental group was 94.5%,considerably higher than that of 75.6% in the control group(P<0.05).The ICU care duration,length of stay,and hospitalization expenses in the observation group were significantly lower than those in the control group,and the incidence of complications was lower(P<0.05).CONCLUSION For patients with SAP,the implementation of standardized psychological intervention measures can effectively alleviate adverse psychological conditions.

Risk Factors for Mortality in Acute Kidney Injury in Intensive Care Units in Togo

Context: Acute kidney injury (AKI) in intensive care unit (ICU) is common and associated with very high mortality. In Togo, a tropical country with limited resources and only one nephrology department in the north, acute kidney injury seems to be a real tragedy with high mortality. Aims: to determine risk factors for mortality in acute kidney injury in the intensive care units. Methods and Material: We made a multicentric cross sectional study during 6 months in the four referral centers in northern Togo. Univariate and multivariate logistic regression was used to identify factors associated with mortality. Data were analyzed using RStudio 2023.04.1. Results: A total of 12.6% of patients admitted to intensive care had presented with AKI. The mean age was 49.6 ± 17.9. The sex ratio (M/F) was 2.1. Community-acquired AKI was in the majority (67.7%). Oligo anuria was the most frequent functional sign (38.4%). In our series, 81.6% of patients were in KDIGO stages 2 to 3. AKI was organic in 56.2% of cases. Mortality was 44.3%. In multivariate analysis, the main factors predictive of death were: respiratory distress (OR = 2.36;p Conclusions: Acute kidney injury in intensive care is common in northern Togo, and mortality is high. Identification of associated factors should help anticipate prognosis.

A Retrospective Analysis of Intoxicated Patients Admitted to the Intensive Care Unit: A Single-Institution Assessment in the Post-Pandemic Period

Background: The aim of this study was to evaluate the clinical and epidemiological characteristics of patients with acute intoxication admitted to the Intensive Care Unit (ICU). Material and Methods: An observational retrospective study was conducted on intoxicated patients who admitted to ICU between January 2022 and January 2024. Data were collected from the patients medical records. The demographic characteristics, causes of intoxications, clinical parameters, the mean stay in the ICU, treatment modalities and prognosis were recorded. Results: A total of 2875 critically ill patients were admitted during the study period, and 109 (3.79%) of them were acute intoxications. Their mean of ages was 38.09 ± 12.29. The female-to-male ratio was 1.37/1. Drugs were found to be the primary cause (62.39%) of intoxications, and analgesics, antidepressants, and antibiotics were the most frequent agents. Suicidal attempts were present in 66 patients, most of them were female (62.13%) and between 17 - 24 years (40.91%). The other common causes of intoxications were carbon monoxide (CO) (22.02%), methyl/ethyl alcohol (8.26%) and mushroom (5.50%). The mean stay in the ICU was 2.69 ± 0.89 days. Mechanical ventilation was applied to 10 of our patients. Renal replacement therapy was required in 6 patients. Despite all treatments, 6 of our patients died, and we found the mortality rate to be 5.50%. Conclusion: Intoxications were more frequent in young female patients and drugs were the most common cause with suicidal intent. Unfortunately, CO poisoning continues to be a very important problem in our city. These findings provided significant information about the characteristics of intoxications in Karabuk.

Increasing role of post-intensive care syndrome in quality of life of intensive care unit survivors

In this editorial we comment on the detrimental consequences that post-intensive care syndrome(PICS)has in the quality of life of intensive care unit(ICU)survivors,highlighting the importance of early onset of multidisciplinary rehabilitation from within the ICU.Although,the syndrome was identified and well described early in 2012,more awareness has been raised on the long-term PICS related health problems by the increased number of coronavirus disease 2019 ICU survivors.It is well outlined that the syndrome affects both the patient and the family and is described as the appearance or worsening of impairment in physical,cognitive,or mental health as consequence of critical illness.PICS was described in order:(1)To raise awareness among clinicians,researchers,even the society;(2)to highlight the need for a multilevel screening of these patients that starts from within the ICU and continues after discharge;(3)to present preventive strategies;and(4)to offer guidelines in terms of rehabilitation.An early multidisci-plinary approach is the key element form minimizing the incidence of PICS and its consequences in health related quality of life of both survivors and their families.

21st century critical care medicine:An overview

Critical care medicine in the 21st century has witnessed remarkable advancements that have significantly improved patient outcomes in intensive care units(ICUs).This abstract provides a concise summary of the latest developments in critical care,highlighting key areas of innovation.Recent advancements in critical care include Precision Medicine:Tailoring treatments based on individual patient characteristics,genomics,and biomarkers to enhance the effectiveness of therapies.The objective is to describe the recent advancements in Critical Care Medicine.Telemedicine:The integration of telehealth technologies for remote patient monitoring and consultation,facilitating timely interventions.Artificial intelligence(AI):AI-driven tools for early disease detection,predictive analytics,and treatment optimization,enhancing clinical decision-making.Organ Support:Advanced life support systems,such as Extracorporeal Membrane Oxygenation and Continuous Renal Replacement Therapy provide better organ support.Infection Control:Innovative infection control measures to combat emerging pathogens and reduce healthcare-associated infections.Ventilation Strategies:Precision ventilation modes and lung-protective strategies to minimize ventilatorinduced lung injury.Sepsis Management:Early recognition and aggressive management of sepsis with tailored interventions.Patient-Centered Care:A shift towards patient-centered care focusing on psychological and emotional wellbeing in addition to medical needs.We conducted a thorough literature search on PubMed,EMBASE,and Scopus using our tailored strategy,incorporating keywords such as critical care,telemedicine,and sepsis management.A total of 125 articles meeting our criteria were included for qualitative synthesis.To ensure reliability,we focused only on articles published in the English language within the last two decades,excluding animal studies,in vitro/molecular studies,and non-original data like editorials,letters,protocols,and conference abstracts.These advancements reflect a dynamic landscape in critical care medicine,where technology,research,and patient-centered approaches converge to improve the quality of care and save lives in ICUs.The future of critical care promises even more innovative solutions to meet the evolving challenges of modern medicine.

Artificial intelligence:Applications in critical care gastroenterology

Gastrointestinal(GI)complications frequently necessitate intensive care unit(ICU)admission.Additionally,critically ill patients also develop GI complications requiring further diagnostic and therapeutic interventions.However,these patients form a vulnerable group,who are at risk for developing side effects and complications.Every effort must be made to reduce invasiveness and ensure safety of interventions in ICU patients.Artificial intelligence(AI)is a rapidly evolving technology with several potential applications in healthcare settings.ICUs produce a large amount of data,which may be employed for creation of AI algorithms,and provide a lucrative opportunity for application of AI.However,the current role of AI in these patients remains limited due to lack of large-scale trials comparing the efficacy of AI with the accepted standards of care.

Analysis of the Efficacy of Xuebijing Combined with Antimicrobials in the Treatment of Intensive Care Unit Patients with Severe Pneumonia

Objective:To analyze the therapeutic effect of Xuebijing+antimicrobials in intensive care unit(ICU)patients with severe pneumonia.Methods:60 ICU patients with severe pneumonia from June 2021 to June 2023 were selected and divided by the random number table method,with 30 cases in each group.The observation group received Xuebijing+antimicrobial treatment,while the control group received only antimicrobial treatment.The differences in rehabilitation indexes,test indexes,and inflammation indexes were compared between the two groups.Results:Mechanical ventilation time,fever reduction time,cough relief time,and hospitalization time of the observation group were significantly shorter than those of the control group(P<0.05);C-reactive protein,procalcitonin,and white blood cell count of the observation group were significantly lower than those of the control group(P<0.05);interleukin-6 and tumor necrosis factor-aαof the observation group were significantly lower than those of the control group(P<0.05).Conclusion:The treatment of severe pneumonia patients in ICU with Xuebijing+antibacterial drugs can reduce inflammation,enhance immune function,shorten the pneumonia recovery time,and reduce the adverse reactions of severe pneumonia.

Morbidity and Mortality of Acute Renal Failure in COVID-19 Patients in Intensive Care According to Waves/Variant: Case of the Grand Hôpital de l’Est Francilien Site de Meaux

Introduction: The incidence of acute renal failure (ARF) varies between 20% and 40% of cases for COVID-19 patients admitted to the intensive care unit, with very high mortality, but heterogeneous according to the different epidemic waves, probably due to the genetic variant phenomenon of the virus. The aim of this study is to determine the morbidity and mortality of COVID-19 patients admitted with ARF to the intensive care unit of the Grand H?pital Est Francilien (GHEF) according to the waves and variants. Methods: Cross-sectional observational study of COVID-19 patients with ARF admitted to the intensive care unit of the GHEF site in Meaux covering the period from March 1st 2020 to December, 31st 2021. Per-hospitalisation and outcome data were collected and analysed with SPSS version 25.0 software using the Chi-square or Fischer’s exact test or Student’s t-test and logistic regression for p Results: A total of 86 patients were included. The mean age was higher (70 ± 8.5) in patients in the fourth wave than in the other waves (p = 0.015), with male predominance in all waves without significant difference. Co-morbidities: hypertension, diabetes, heart disease, dyslipidaemia and arrhythmia complete with fibrillation were present in all waves. The majority of patients were classified as KDIGO 1 for the different waves (1st: 61.9%, 2nd: 86.5%, 3rd: 80%, and 4th: 75%), with the same trend according to variant (alpha: 80%, beta: 75%, delta: 81.3%, omicron: 75%). Mortality by the wave was: 1st: 28.5%, 2nd: 37.5%, 3rd: 23% and 4th: 11%) and by variant: alpha: 24.2%, beta: 44.8%, delta: 20.7%, omicron: 10.3%). Overall mortality was 33.7%. Case fatality was higher in the fourth wave. Hypertension, shock, failure to recover renal function, acute lung oedema, ventilator-associated lung disease and hyperkalaemia were factors associated with mortality (p Conclusion: Acute renal failure is common in COVID-19 patients admitted to the intensive care unit, and mortality is not negligible. The beta variants and the second wave presented more cases of renal impairment, although the mechanism is still unknown. Further studies are needed to understand this mechanism and perhaps to be able to identify the cause.

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.

Development and Evaluation of The Implementation of a Preceptorship Program for The Novice ICU Nurse Intensive Care Unit -A Secondary Publication

This study focused on the development and evaluation of the implementation of a preceptorship program adapted to ICU practice in the Ab.-T.region to provide preceptors with tools to support novice nurses.This action research was made possible with the involvement of the centers,preceptors,and novice nurses throughout the development and implementation of the program.This approach enabled participants to take ownership of the training content and fully utilize various tools.The program was implemented throughout the CISSS,where this study was subsequently carried out.Several novices mentioned that the program reinforced their sense of security and made them feel more equipped to handle complex care situations.The preceptors said they were better equipped to offer clinical support and novices were better prepared to work in the ICU.It is important to evaluate the development of the novice nurses’skills following their participation in this program and the long-term impact of this preceptorship.

Analysis of the Effect of Intensive Nursing Care on Improving Sleep Quality During the Perioperative Period of Severed Finger Reimplantation

Objective:To investigate the clinical effect of perioperative intensive nursing on patients who underwent severed finger reimplantation and its influence on sleep quality.Methods:62 patients who underwent severed finger reimplantation between January 2023 and December 2023 were included.They were divided into two groups:the observation group(n=31)and the control group(n=31).The control group received basic nursing interventions,while the observation group received intensive nursing care.The comparison parameters included visual analog pain score(VAS),incidence of vascular crises,length of hospitalization,Pittsburgh Sleep Quality Index(PSQI),Hamilton Depression Score(HAM-D),Hamilton Anxiety Score(HAM-A),and patient satisfaction.Results:Postoperative VAS score,incidence of vascular crisis,hospitalization time,PSQI score,and HAM-A and HAM-D scores of the observation group were lower than those of the control group(P<0.05).Meanwhile,the patient satisfaction of the observation group was higher than that of the control group(P<0.05).Conclusion:Perioperative intensive nursing care for patients undergoing severed finger reimplantation demonstrates significant benefits.It reduces postoperative pain,lowers the incidence of vascular crises,shortens hospitalization durations,enhances sleep quality,alleviates negative emotions,and improves nursing satisfaction.These findings underscore the importance and applicability of such care practices.