As the search for effective treatments for COVID-19 continues, the high mortality rate among critically ill patients in Intensive Care Units (ICU) presents a profound challenge. This study explores the potential benefits of traditional Chinese medicine (TCM) as a supplementary treatment for severe COVID-19. A total of 110 critically ill COVID-19 patients at the Intensive Care Unit (ICU) of Vulcan Hill Hospital between Feb., 2020, and April, 2020 (Wuhan, China) participated in this observational study. All patients received standard supportive care protocols, with a subset of 81 also receiving TCM as an adjunct treatment. Clinical characteristics during the treatment period and the clinical outcome of each patient were closely monitored and analysed. Our findings indicated that the TCM group exhibited a significantly lower mortality rate compared with the non-TCM group (16 of 81 vs 24 of 29; 0.3 vs 2.3 person/month). In the adjusted Cox proportional hazards models, TCM treatment was associated with improved survival odds (P < 0.001). Furthermore, the analysis also revealed that TCM treatment could partially mitigate inflammatory responses, as evidenced by the reduced levels of proinflammatory cytokines, and contribute to the recovery of multiple organic functions, thereby potentially increasing the survival rate of critically ill COVID-19 patients.
Humans ; COVID-19 ; Medicine, Chinese Traditional ; SARS-CoV-2 ; Critical Illness ; Treatment Outcome

Humans ; Adult ; Renal Replacement Therapy ; Retrospective Studies ; Acute Kidney Injury/therapy* ; Critical Illness/therapy*

Objective This consensus aims to provide evidence-based recommendations on common questions in the diagnosis and treatment of acute respiratory failure (ARF) for critically ill cancer patients.Methods We developed six clinical questions using the PICO (Population, Intervention, Comparison, and Outcome) principle in diagnosis and treatment for critical ill cancer patients with ARF. Based on literature searching and meta-analyses, recommendations were devised. The GRADE (Grading of Recommendation Assessment, Development and Evaluation) method was applied to each question to reach consensus in the expert panel. Results The panel makes strong recommendations in favor of (1) metagenomic next-generation sequencing (mNGS) tests may aid clinicians in rapid diagnosis in critically ill cancer patients suspected of pulmonary infections; (2) extracorporeal membrane oxygenation (ECMO) therapy should not be used as a routine rescue therapy for acute respiratory distress syndrome in critically ill cancer patients but may benefit highly selected patients after multi-disciplinary consultations; (3) cancer patients who have received immune checkpoint inhibitor therapy have an increased incidence of pneumonitis compared with standard chemotherapy; (4) critically ill cancer patients who are on invasive mechanical ventilation and estimated to be extubated after 14 days may benefit from early tracheotomy; and (5) high-flow nasal oxygen and noninvasive ventilation therapy can be used as a first-line oxygen strategy for critically ill cancer patients with ARFs. A weak recommendation is: (6) for critically ill cancer patients with ARF caused by tumor compression, urgent chemotherapy may be considered as a rescue therapy only in patients determined to be potentially sensitive to the anticancer therapy after multidisciplinary consultations. Conclusions The recommendations based on the available evidence can guide diagnosis and treatment in critically ill cancer patients with acute respiratory failure and improve outcomes.
Humans ; Consensus ; Critical Illness/therapy* ; Neoplasms/therapy* ; Oxygen ; Pneumonia ; Respiratory Distress Syndrome/drug therapy* ; Respiratory Insufficiency/therapy*

OBJECTIVES: To explore the etiology composition and outcomes of pediatric chronic critical illness (PCCI) in the pediatric intensive care unit (PICU). METHODS: The children who were hospitalized in the PICU of Dongguan Children's Hospital Affiliated to Guangdong Medical University and met the diagnostic criteria for PCCI from January 2017 to December 2022 were included in the study. The etiology of the children was classified based on their medical records and discharge diagnoses. Relevant clinical data during hospitalization were collected and analyzed. RESULTS: Among the 3 955 hospitalized children in the PICU from January 2017 to December 2022, 321 cases (8.12%) met the diagnostic criteria for PCCI. Among the 321 cases, the most common etiology was infection (71.3%, 229 cases), followed by unintentional injury (12.8%, 41 cases), postoperation (5.9%, 19 cases), tumors/immune system diseases (5.0%, 16 cases), and genetic and chromosomal diseases (5.0%, 16 cases). Among the 321 cases, 249 cases (77.6%) were discharged after improvement, 37 cases (11.5%) were discharged at the request of the family, and 35 cases (10.9%) died in the hospital. Among the deaths, infection accounted for 74% (26/35), unintentional injury accounted for 17% (6/35), tumors/immune system diseases accounted for 6% (2/35), and genetic and chromosomal diseases accounted for 3% (1/35). From 2017 to 2022, the proportion of PCCI in PICU diseases showed an increasing trend year by year (P<0.05). Among the 321 children with PCCI, there were 148 infants and young children (46.1%), 57 preschool children (17.8%), 54 school-aged children (16.8%), and 62 adolescents (19.3%), with the highest proportion in the infant and young children group (P<0.05). The in-hospital mortality rates of the four age groups were 14.9% (22/148), 8.8% (5/57), 5.6% (3/54), and 8.1% (5/62), respectively. The infant and young children group had the highest mortality rate, but there was no statistically significant difference among the four groups (P>0.05). CONCLUSIONS The proportion of PCCI in PICU diseases is increasing, and the main causes are infection and unintentional injury. The most common cause of death in children with PCCI is infection. The PCCI patient population is mainly infants and young children, and the in-hospital mortality rate of infant and young children with PCCI is relatively high.
Adolescent ; Infant ; Child, Preschool ; Humans ; Child ; Critical Illness ; Prognosis ; Child, Hospitalized ; Chronic Disease ; Intensive Care Units, Pediatric

OBJECTIVES: To explore the effects of somatostatin on the levels of gastrointestinal hormones and clinical outcomes in critically ill infants after gastrointestinal surgery. METHODS: Using a random number table method, critically ill infants after gastrointestinal surgery who were admitted to the Intensive Care Unit of Xuzhou Children's Hospital from June 2019 to June 2021 were randomly divided into an observation group (29 cases) and a control group (30 cases). The control group received routine treatment such as anti-infection and hemostasis after surgery, while the observation group received somatostatin in addition to the routine treatment [3.5 μg/(kg·h) infusion for 7 days]. The levels of serum gastrin (GAS), motilin (MTL), insulin, and glucagon-like peptide-1 (GLP-1) before surgery, on the 3rd day after surgery, and on the 7th day after surgery were compared between the two groups. The recovery progress and incidence of complications after surgery were also compared between the two groups. RESULTS: There was no significant difference in the levels of serum GAS, MTL, insulin, and GLP-1 between the two groups before surgery (P>0.05). On the 3rd and 7th day after surgery, the levels of serum GAS, MTL, insulin, and GLP-1 in the observation group were higher than those in the control group (P<0.05). In the observation group, the levels of GAS, MTL, insulin, and GLP-1 on the 7th day after surgery were higher than those before surgery and on the 3rd day after surgery (P<0.05), and the levels on the 3rd day after surgery were higher than those before surgery (P<0.05). There was no significant difference in the levels of serum GAS, MTL, and insulin before surgery, on the 3rd day after surgery, and on the 7th day after surgery in the control group (P>0.05). The level of GLP-1 on the 7th day after surgery was higher than that before surgery and on the 3rd day after surgery (P<0.05), and the level on the 3rd day after surgery was higher than that before surgery (P<0.05) in the control group. The observation group had shorter first time of anal exhaust, recovery time of bowel sounds, and first time of defecation after surgery compared to the control group (P<0.05). The incidence of complications after surgery in the observation group was lower than that in the control group (10% vs 33%, P<0.05). CONCLUSIONS Somatostatin can increase the levels of serum GAS, MTL, insulin, and GLP-1 in critically ill infants after gastrointestinal surgery, promote the recovery of gastrointestinal function, and reduce the incidence of postoperative complications.
Humans ; Infant ; Critical Illness ; Digestive System Surgical Procedures ; Glucagon-Like Peptide 1 ; Insulin ; Prospective Studies ; Somatostatin/therapeutic use*

Sepsis is a life-threatening organ dysfunction caused by dysregulated body response to infection. It is also one of the major causes of death in critically ill patients. Over the past few years, despite the continuous improvement in the treatment of sepsis, there is no specific treatment, clinical morbidity and mortality are still rising. Therefore, finding effective methods to treat sepsis and reduce mortality is an urgent clinical problem. Histone modification is an epigenetic modification that produces heritable phenotypic changes without altering the DNA sequence. In recent years, many studies have shown that histone modification is closely related to sepsis. This review discusses the mechanism of histone modification in the pathogenesis of sepsis from the aspects of inflammatory factors, signaling pathways, and macrophage polarization, in aimed to provide reference for the clinical treatment of sepsis.
Humans ; Histone Code ; Sepsis/metabolism* ; Critical Illness ; Macrophage Activation

OBJECTIVE: To explore lung ultrasound radiomics features which related to extravascular lung water index (EVLWI), and to predict EVLWI in critically ill patients based on lung ultrasound radiomics combined with machine learning and validate its effectiveness. METHODS: A retrospective case-control study was conducted. The lung ultrasound videos and pulse indicated continuous cardiac output (PiCCO) monitoring results of critically ill patients admitted to the department of critical care medicine of the First Affiliated Hospital of Guangxi Medical University from November 2021 to October 2022 were collected, and randomly divided into training set and validation set at 8:2. The corresponding images from lung ultrasound videos were obtained to extract radiomics features. The EVLWI measured by PiCCO was regarded as the "gold standard", and the radiomics features of training set was filtered through statistical analysis and LASSO algorithm. Eight machine learning models were trained using filtered radiomics features including random forest (RF), extreme gradient boost (XGBoost), decision tree (DT), Naive Bayes (NB), multi-layer perceptron (MLP), K-nearest neighbor (KNN), support vector machine (SVM), and Logistic regression (LR). Receiver operator characteristic curve (ROC curve) was plotted to evaluate the predictive performance of models on EVLWI in the validation set. RESULTS: A total of 151 samples from 30 patients were enrolled (including 906 lung ultrasound videos and 151 PiCCO monitoring results), 120 in the training set, and 31 in the validation set. There were no statistically significant differences in main baseline data including gender, age, body mass index (BMI), mean arterial pressure (MAP), central venous pressure (CVP), heart rate (HR), cardiac index (CI), cardiac function index (CFI), stroke volume index (SVI), global end diastolic volume index (GEDVI), systemic vascular resistance index (SVRI), pulmonary vascular permeability index (PVPI) and EVLWI. The overall EVLWI range in 151 PiCCO monitoring results was 3.7-25.6 mL/kg. Layered analysis showed that both datasets had EVLWI in the 7-15 mL/kg interval, and there was no statistically significant difference in EVLWI distribution. Two radiomics features were selected by using LASSO algorithm, namely grayscale non-uniformity (weight was -0.006 464) and complexity (weight was -0.167 583), and they were used for modeling. ROC curve analysis showed that the MLP model had better predictive performance. The area under the ROC curve (AUC) of the prediction validation set EVLWI was higher than that of RF, XGBoost, DT, KNN, LR, SVM, NB models (0.682 vs. 0.658, 0.657, 0.614, 0.608, 0.596, 0.557, 0.472). CONCLUSIONS The gray level non-uniformity and complexity of lung ultrasound were the most correlated radiomics features with EVLWI monitored by PiCCO. The MLP model based on gray level non-uniformity and complexity of lung ultrasound can be used for semi-quantitative prediction of EVLWI in critically ill patients.
Humans ; Extravascular Lung Water/diagnostic imaging* ; Retrospective Studies ; Critical Illness ; Case-Control Studies ; Bayes Theorem ; China ; Lung/diagnostic imaging*

OBJECTIVE: To explore the predictive value of acute physiology and chronic health evaluation II (APACHE II), sequential organ failure assessment (SOFA), quick sequential organ failure assessment (qSOFA) and modified early warning score (MEWS) in evaluating the prognosis of patients in intensive care unit (ICU) of secondary hospitals, and to provide guidance for clinical application. METHODS: The clinical data of adult critical patients admitted to the ICU of Wanzhou District First People's Hospital from October 2022 to April 2023 were retrospectively analyzed. According to the clinical outcome of ICU, the patients were divided into improvement group and death group. The general information, blood routine, heart, liver and kidney function indicators, coagulation indicators, blood gas analysis, APACHE II score, SOFA score, qSOFA score, MEWS score at the time of admission to the ICU, the number of cases of invasive mechanical ventilation (IMV) and continuous blood purification (CBP) were compared between the two groups. Univariate analysis was performed, and multivariate Logistic regression analysis was used to analyze the related factors of death. Receiver operator characteristic curve (ROC curve) was used to analyze the predictive value of the four scores in ICU patients. RESULTS: A total of 126 patients were included, of which 45 patients died in the ICU and 81 patients improved and transferred out. Univariate analysis of death-related critically ill patients showed that procalcitonin (PCT), serum creatinine (SCr), blood urea nitrogen (BUN), albumin (ALB), prothrombin time (PT), activated partial prothrombin time (APTT), D-dimer, pH value, HCO₃^-, blood lactic acid (Lac), number of patients treated with IMV and CBP, APACHE II score, SOFA score, qSOFA score and MEWS score were significantly different between the two groups (all P < 0.05). Multivariate Logistic regression analysis showed that the APACHE II score [odds ratio (OR) = 1.115, 95% confidence interval (95%CI) was 1.025-1.213, P = 0.011], SOFA score (OR = 1.204, 95%CI was 1.037-1.398, P = 0.015), MEWS score (OR = 1.464, 95%CI was 1.102-1.946, P = 0.009), and APTT (OR = 1.081, 95%CI was 1.015-1.152, P = 0.016) were independent risk factors affecting the mortality of critically ill patients in the ICU. ROC curve analysis showed that APACHE II, SOFA, qSOFA, and MEWS scores could predict the prognosis of critically ill ICU patients, among which SOFA score had the strongest predictive effect, and the area under the curve (AUC) was 0.808. There was a statistically significant difference in the time required for the four scores (F = 117.333, P < 0.001), among which the MEWS scoring required the shortest time [(1.03±0.39) minutes], and the APACHE II scoring required the longest time [(2.81±1.04) minutes]. CONCLUSIONS APACHE II, SOFA, qSOFA, and MEWS scores can be used to assess the severity of critically ill patients and predict in-hospital mortality. The SOFA score is superior to other scores in predicting severity. The MEWS is preferred because its assessment time is shortest. Early warning score can help secondary hospitals to detect potentially critical patients early and provide help for clinical rapid urgent emergency decision-making.
Adult ; Humans ; Sepsis/diagnosis* ; ROC Curve ; Retrospective Studies ; Critical Illness ; Early Warning Score ; Organ Dysfunction Scores ; Intensive Care Units ; Prognosis ; Hospitals

Stress induced hyperglycemia is the body's protect response against strong (patho-physiological and/or psychological) stress, sometimes the blood glucose level is too high due to out of the body's adjustment. Renal glucose threshold (about 9 mmol/L) is a window of glucose leak from capillary to interstitial tissue. It is important to keep blood glucose level < 9 mmol/L, for reducing vascular sclerosis as well as organs hypoperfusion, meanwhile pay attention to preventing more dangerous hypoglycemia. Glucose, as the main energy substrate, should be daily supply and its metabolism should be monitored. We used to talk "nutritional support". Support is conform the physiological ability of host, but therapy is to coordinate and change pathophysiology. So, nutritional support is not equal to nutritional therapy. For critical ill patients, we need to emphasize "nutritional therapy", i.e, do not give nutritional treatment without metabolic monitoring, make up for deficiencies and avoid metabolites overloading, rational adjustment to protect and coordinate organs function.
Humans ; Blood Glucose/metabolism* ; Critical Illness/therapy* ; Hyperglycemia/therapy* ; Nutritional Support ; Glucose

OBJECTIVE: To describe negative conversion and rebound of patients with severe and critical acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection after treatment with Nirmatrelvir/Ritonavir, and to analyze related factors associating with failure of SARS-CoV-2 negative conversion and relapse and prognosis. METHODS: A single center retrospective cohort study was conducted. Patients aged ≥ 16 years old who were diagnosed with severe or critical SARS-CoV-2 infection and took Nirmatrelvir/Ritonavir for 5 days in Peking University First Hospital from December 7, 2022 to January 27, 2023, were included. General characteristics and clinical data were collected from electronic medical record system. The Kaplan-Meier curve of SARS-CoV-2 negative conversion was drawn. Factors with P < 0.10 were incorporated into multivariate Logistic regression model to analyze the relationship between the factors and persistent nucleic acid positive and rebound. RESULTS: A total of 31 severe and 37 critical SARS-CoV-2 infection patients were included. The median duration from initiation of Nirmatrelvir/Ritonavir to negative conversion of SARS-CoV-2 for both was 6.0 days, and the negative conversion rate on day 15 was 93.5% and 86.5%, respectively. SARS-CoV-2 rebound was observed in 7 patients (11.3%), among whom were 1 severe patient and 6 critical patients. The above 7 patients with SARS-CoV-2 rebound and 6 patients with failure of SARS-CoV-2 negative conversion were compared with 55 patients with persistent negative conversion. Factors with P < 0.10, including the lowest lymphocyte count (LYM), the highest D-dimer, the highest procalcitonin (PCT), the lowest Ct value, cardiovascular diseases other than hypertension and coronary heart disease, were incorporated into multivariate Logistic regression analysis. The decreased LYM [odds ratio (OR) = 0.146, 95% confidence interval (95%CI) was 0.031-0.689, P = 0.015] and the increased PCT (OR = 2.008, 95%CI was 1.042-3.868, P = 0.037) were revealed to be independent risk factors of the failure of SARS-CoV-2 negative conversion or rebound. The proportion of mechanical ventilation and invasive ventilation were significantly higher in patients with persistent SARS-CoV-2 infection or rebound than those in patients with SARS-CoV-2 negative conversion (84.6% vs. 38.2%, 69.2% vs. 25.5%, both P < 0.01), but no significant difference in mechanical ventilation and invasive ventilation duration was observed. Compared with the patients with SARS-CoV-2 negative conversion, more patients with persistent SARS-CoV-2 infection or rebound were admitted to intensive care unit (ICU, 76.9% vs. 50.9%), and length of ICU stay in patients with persistent SARS-CoV-2 infection or rebound tended to be longer [days: 13.0 (10.3, 24.3) vs. 11.0 (5.3, 23.0), P > 0.05]. CONCLUSIONS The decreased LYM and increased PCT are independent risk factors for the failure of SARS-CoV-2 negative conversion or rebound in patients with severe and critical SARS-CoV-2 infection. Attention should be paid to these patients for their poor prognosis.
Humans ; Adolescent ; COVID-19 ; SARS-CoV-2 ; Retrospective Studies ; Ritonavir/therapeutic use* ; Critical Illness ; COVID-19 Drug Treatment