Development and validation of an HILIC/MS/MS method for determination of nusinersen in rabbit plasma.

A hydrophilic interaction liquid chromatography tandem mass spectrometry (HILIC/MS/MS) method was developed and validated for the quantitative analysis of the fully phosphorothioate modified oligonucleotide nusinersen. HILIC/MS/MS method is more robust and compatible with mass spectrometry than ion pair reversed-phase liquid chromatography-tandem mass spectrometry (IP-RP-LC/MS/MS). Various types and concentrations of additives and different pH of mobile phase affected the mass spectrometry response, chromatographic peak shape and retention of nusinersen. The optimized extraction method of nusinersen employs hydrophilic-lipophilic balance solid phase extraction, with a recovery of up to 80 %. Chromatographic quantification was performed using a gradient system on an amide column and the mobile phase consisted of ammonium acetate, acetonitrile and water in a certain proportion. The fully phosphorothioate modified nusinersen can obtain a high mass spectrometry response by providing greater peak symmetry and high ionization efficiency in a high-pH mobile phase. Moreover, the significant carry over interference was observed at the pH 6.3 of the mobile phase. Adjusting the pH value up to 10, and the carry over interference disappeared. The lower limit of quantitation of this developed HILIC/MS/MS assay was 30.0 ng/mL and the method was systematic methodology validated. This HILIC/MS/MS method provides an attractive and robust alternative for the quantitative analysis of nusinersen and was applied in the pharmacokinetic study of nusinersen in rabbits.

Acinetobacter baumannii: an evolving and cunning opponent.

Acinetobacter baumannii is one of the most common multidrug-resistant pathogens causing nosocomial infections. The prevalence of multidrug-resistant A. baumannii infections is increasing because of several factors, including unregulated antibiotic use. A. baumannii drug resistance rate is high; in particular, its resistance rates for tigecycline and polymyxin-the drugs of last resort for extensively drug-resistant A. baumannii-has been increasing annually. Patients with a severe infection of extensively antibiotic-resistant A. baumannii demonstrate a high mortality rate along with a poor prognosis, which makes treating them challenging. Through carbapenem enzyme production and other relevant mechanisms, A. baumannii has rapidly acquired a strong resistance to carbapenem antibiotics-once considered a class of strong antibacterials for A. baumannii infection treatment. Therefore, understanding the resistance mechanism of A. baumannii is particularly crucial. This review summarizes mechanisms underlying common antimicrobial resistance in A. baumannii, particularly those underlying tigecycline and polymyxin resistance. This review will serve as a reference for reasonable antibiotic use at clinics, as well as new antibiotic development.

Development, validation and application of an ion-pair reversed-phase liquid chromatography-tandem mass spectrometry method for the quantification of nusinersen.

Background: The fully phosphorothioate-modified oligonucleotide (OGN) nusinersen has low ionization efficiency in the negative ion mode, resulting in a low mass spectrometry response. There have been no relevant reports on developing a LC-MS method for the determination of nusinersen by optimizing mobile phase composition. Materials & methods: Mobile phase additives comprised of 15 mM triethylamine/25 mM 1,1,1,3,3,3-hexafluoro-2-propanol with a pH of 9.6. Nusinersen was extracted from plasma using Oasis® HLB solid-phase extraction (Waters, MA, USA). Results & conclusion: By adjusting the pH of the mobile phase to 9.6 by optimizing the type and concentration of ion-pair reagents, a high mass spectrometry response was obtained. The developed method was applied to nusinersen and met the requirements for the pharmacokinetic study of nusinersen in rabbits.

Development and Evaluation of a Nomogram for Predicting the Outcome of Immune Reconstitution Among HIV/AIDS Patients Receiving Antiretroviral Therapy in China.

This study aims to develop and evaluate a model to predict the immune reconstitution among HIV/AIDS patients after antiretroviral therapy (ART). A total of 502 HIV/AIDS patients are randomized to the training cohort and evaluation cohort. Least absolute shrinkage and selection operator (LASSO) regression and multivariate logistic regression analysis are performed to identify the indicators and establish the nomogram for predicting the immune reconstitution. Decision curve analysis (DCA) and clinical impact curve (CIC) are used to evaluate the clinical effectiveness of the nomogram. Predictive factors included white blood cells (WBC), baseline CD4+ T-cell counts (baseline CD4), ratio of effector regulatory T cells to resting regulatory T cells (eTreg/rTreg) and low-density lipoprotein cholesterol (LDL-C) and are incorporated into the nomogram. The area under the curve (AUC) is 0.812 (95% CI, 0.767∼0.851) and 0.794 (95%CI, 0.719∼0.857) in the training cohort and evaluation cohort, respectively. The calibration curve shows a high consistency between the predicted and actual observations. Moreover, DCA and CIC indicate that the nomogram has a superior net benefit in predicting poor immune reconstitution. A simple-to-use nomogram containing four routinely collected variables is developed and internally evaluated and can be used to predict the poor immune reconstitution in HIV/AIDS patients after ART.

Association between serum ferritin and liver stiffness in adults aged ≥20 years: A cross-sectional study based on NHANES.

The importance of serum ferritin has been demonstrated in many liver diseases, but its relationship with liver stiffness remains unclear. The objective of this study was to investigate the association between serum ferritin levels and participants' liver stiffness measurement (LSM) in the United States population. We conducted a screening of participants from National Health and Nutrition Examination Survey (NHANES) 2017.1 to 2020.3 to ensure that participants included in this study had complete serum ferritin and LSM information. Association between the independent variable (serum ferritin) and the dependent variable (LSM) was investigated by multiple linear regression and subgroup analysis was performed to identify sensitive individuals, and we subsequently assessed whether there was a non-linear relationship between the 2 using smoothed curve fitting and threshold effect models. The final 7143 participants were included in this study. There was a positive association between participants' serum ferritin concentration and LSM, with an effect value of (ß = 0.0007, 95% confidence interval (CI): 0.0002-0.0011) in the all-adjusted model. The smoothing curve and threshold effect models indicated a non-linear positive correlation between serum ferritin and LSM, which was more pronounced when serum ferritin concentration exceeded 440 ng/mL. Subsequent subgroup analysis showed that this positive correlation was more pronounced in males (ß = 0.0007, 95% CI: 0.0001-0.0012), age >60 years (ß = 0.00015, 95% CI: 0.0007-0.0023), black participants (ß = 0.00018, 95% CI: 0.0009-0.0026), and participants with body mass index (BMI) <25 kg/m2 (ß = 0.00012, 95% CI: 0.0005-0.0020). In U.S. adults, there was a positive correlation between serum ferritin levels and liver stiffness, which was more pronounced when serum ferritin exceeded 440 ng/mL. Our study suggested that regular serum ferritin testing would be beneficial in monitoring changes in liver stiffness. Male, age >60 years, black participants, and those with a BMI < 25 kg/m2 should be of greater consideration.

Modelling porcine NAFLD by deletion of leptin and defining the role of AMPK in hepatic fibrosis.

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is the most prevalent cause of chronic hepatic disease and results in non-alcoholic steatohepatitis (NASH), which progresses to fibrosis and cirrhosis. Although the Leptin deficient rodent models are widely used in study of metabolic syndrome and obesity, they fail to develop liver injuries as in patients. METHODS: Due to the high similarity with humans, we generated Leptin-deficient (Leptin-/-) pigs to investigate the mechanisms and clinical trials of obesity and NAFLD caused by Leptin. RESULTS: The Leptin-/- pigs showed increased body fat and significant insulin resistance at the age of 12 months. Moreover, Leptin-/- pig developed fatty liver, non-alcoholic steatohepatitis and hepatic fibrosis with age. Absence of Leptin in pig reduced the phosphorylation of JAK2-STAT3 and AMPK. The inactivation of JAK2-STAT3 and AMPK enhanced fatty acid ß-oxidation and leaded to mitochondrial autophagy respectively, and both contributed to increased oxidative stress in liver cells. In contrast with Leptin-/- pig, although Leptin deletion in rat liver inhibited JAK2-STAT3 phosphorylation, the activation of AMPK pathway might prevent liver injury. Therefore, ß-oxidation, mitochondrial autophagy and hepatic fibrosis did not occurred in Leptin-/- rat livers. CONCLUSIONS: The Leptin-deficient pigs presents an ideal model to illustrate the full spectrum of human NAFLD. The activity of AMPK signaling pathway suggests a potential target to develop new strategy for the diagnosis and treatment of NAFLD.

The association of body mass index and weight waist adjustment index with serum ferritin in a national study of US adults.

BACKGROUND: Abnormal serum ferritin levels are associated with a variety of diseases. Meanwhile, abnormal serum ferritin is influenced by a variety of risk factors, but its correlation with obesity remains poorly described. OBJECTIVE: This study aimed to investigate the association of body mass index (BMI) and weight waist adjustment index (WWI) with serum ferritin in US adults. METHODS: Participants in this study took part in the National Health and Nutrition Examination Survey (NHANES) prior to the pandemic from 2017 to March 2020. Serum ferritin was used as the sole response variable and BMI and WWI were used as independent variables. Multiple linear regression was used to assess the relationship between serum ferritin and the independent variables, and smoothed curve fitting and threshold effects analysis were performed to assess the presence of non-linear relationships. To validate the sensitive individuals for the correlation between the independent and the dependent variables, a subgroup analysis was performed. RESULTS: A final total of 7552 participants were included in this study. Both independent variables had a positive relationship with serum ferritin, with effect values of (ß = 0.68, 95% CI: 0.17-1.19) when BMI was the independent variable and (ß = 8.62, 95% CI: 3.53-13.72) when WWI was the independent variable in the fully adjusted model. This positive association between the two obesity-related indexes and serum ferritin became more significant as BMI and WWI increased (P for trend < 0.001). In subgroup analyses, the positive association between the independent variables and serum ferritin was more pronounced in participants who were male, 40-59 years old, white, and had diabetes and hypertension. In addition, smoothed curve fitting and threshold effects analysis demonstrated a linear positive association of BMI and WWI with serum ferritin. CONCLUSIONS: In the US adult population, while there was a linear positive association of WWI and BMI with serum ferritin, the effect values between WWI and serum ferritin were more significant. Male, 40-59 years old, white, participants with diabetes and hypertension should be cautious that higher WWI might entail a risk of higher serum ferritin levels.

Neuropsychiatric Adverse Events Following Antiretroviral Therapy in People Living with HIV: A Real-World Study of Dynamic Trends and Risk Factors in Hangzhou, China.

Purpose: Neuropsychiatric adverse events (NPAEs) occur frequently in people living with human immunodeficiency virus (PLWH) receiving antiretroviral therapy (ART). This study aimed to assess the dynamic trends and risk factors of NPAEs among PLWH in Hangzhou taking efavirenz (EFV)- or dolutegravir (DTG)- or elvitegravir (EVG)-based regimens. Patients and Methods: A total of 287 ART-naive PLWH were included in this study, EFV (400mg)- (n = 122), EFV (600mg)- (n = 37), DTG- (n = 73), EVG-based (n = 47) and other ART regimens (n = 8) as the initial ART regimen were administered for 12 months. All data were collected at five time points within a 12-month follow-up. The Pittsburgh Sleep Quality Index and Hospital Anxiety and Depression Scale were used to evaluate sleep disorders and anxiety and depression symptoms, respectively. The dynamic trends and potential risk factors of NPAEs were investigated using a generalized linear mixed model. Results: Mean age was 29.4 (SD: 7.5) years with 97.2% males. After 12 months of ART, the prevalence of sleep disorders and anxiety decreased significantly, although only a slight improvement was observed for depression. In addition, there was a significant positive correlation between sleep disorders, anxiety, and depression. The risk factors for NPAEs differed slightly depending on the choice of ART regimen, but the seven factors most commonly associated with NPAEs were age, sex, marital status, education level, smoking status, body mass index, and WHO clinical stage. Treatment-induced changes in CD4-positive T-cell count and virological suppression did not depend on the particular choice of ART regimen. Conclusion: The prevalence of sleep disorders and anxiety changed significantly over time on ART and the risks of these disorders were associated with seven common clinical and demographic factors.

Modified Respiratory Rate Oxygenation Index: An Early Warning Index for the Need of Intubation in COVID-19 Patients with High-Flow Nasal Cannula Therapy.

BACKGROUND: High-flow nasal cannula oxygen therapy (HFNC) is recommended for patients with COVID-19. However, the increasing use of HFNC brings a risk of delayed intubation. The optimal timing of switching from HFNC to invasive mechanical ventilation (IMV) remains unclear. An effective predictor is needed to assist in deciding on the timing of intubation. Respiratory rate and oxygenation (ROX) index, defined as (SpO2/FiO2) / respiratory rate, has already shown good diagnostic accuracy. Modified ROX (mROX) index, defined as (PaO2 /FiO2) / respiratory rate, might be better than the ROX index in predicting HFNC failure. OBJECTIVE: The aim was to evaluate the predictive value of mROX for HFNC failure in patients with COVID-19. METHODS: Severe or critical patients with COVID-19 treated with HFNC were enrolled in two clinical centers. Laboratory indicators, respiratory parameters, and mROX index at 0 h and 2 h after initial HFNC were collected. Based on the need for IMV after HFNC initiation, the patients were divided into an HFNC failure group and an HFNC success group. The predictive value of mROX index for IMV was evaluated by the area under the receiver operating characteristic curve (AUROC) and logistic regression analysis. We performed Kaplan-Meier survival analysis using the log-rank test. RESULTS: Sixty patients with COVID-19 (mean ± SD age, 62.8 ± 14.1 years; 42 patients were male) receiving HFNC were evaluated, including 18 critical and 42 severe cases. A total of 33 patients had hypertension; 14 had diabetes; 17 had chronic cardiac disease; 11 had chronic lung disease; 13 had chronic kidney disease; and 17 had a history of stroke. The AUROC of mROX index at 2 h was superior to that of other respiratory parameters to predict the need for IMV (0.959; p < 0.001). At the mROX index cutoff point of 4.45, predicting HFNC failure reached the optimal threshold, with specificity of 94% and sensitivity of 92%. Logistic regression analysis showed that 2-h mROX index < 4.45 was a protective factor for IMV (odd radio 0.18; 95% CI 0.05-0.64; p = 0.008). In the HFNC failure group, the median time from HFNC to IMV was 22.5 h. The 28-day mortality of the late intubation patients (≥ 22.5 h) was higher than that of the early intubation patients (< 22.5 h) (53.8% vs. 8.3%; p = 0.023). CONCLUSIONS: mROX at 2 h is a good early warning index of the need for IMV in patients with COVID-19 after HFNC initiation. Early intubation may lead to better survival in patients with 2-h mROX index < 4.45.

Development and validation of a nomogram to predict the risk of renal replacement therapy among acute kidney injury patients in intensive care unit.

BACKGROUND: There are no universally accepted indications to initiate renal replacement therapy (RRT) among patients with acute kidney injury (AKI). This study aimed to develop a nomogram to predict the risk of RRT among AKI patients in intensive care unit (ICU). METHODS: In this retrospective cohort study, we extracted AKI patients from Medical Information Mart for Intensive Care III (MIMIC-III) database. Patients were randomly divided into a training cohort (70%) and a validation cohort (30%). Multivariable logistic regression based on Akaike information criterion was used to establish the nomogram. The discrimination and calibration of the nomogram were evaluated by Harrell's concordance index (C-index) and Hosmer-Lemeshow (HL) test. Decision curve analysis (DCA) was performed to evaluate clinical application. RESULTS: A total of 7413 critically ill patients with AKI were finally enrolled. 514 (6.9%) patients received RRT after ICU admission. 5194 (70%) patients were in the training cohort and 2219 (30%) patients were in the validation cohort. Nine variables, namely, age, hemoglobin, creatinine, blood urea nitrogen and lactate at AKI detection, comorbidity of congestive heart failure, AKI stage, and vasopressor use were included in the nomogram. The predictive model demonstrated satisfying discrimination and calibration with C-index of 0.938 (95% CI, 0.927-0.949; HL test, P = 0.430) in training set and 0.935 (95% CI, 0.919-0.951; HL test, P = 0.392) in validation set. DCA showed a positive net benefit of our nomogram. CONCLUSION: The nomogram developed in this study was highly accurate for RRT prediction with potential application value.

Derivation of induced pluripotent stem cell SJTUi003-A from a 69-year-old Chinese Han Sporadic Alzheimer's disease patient with APOEε3/ε4 genetic background.

Alzheimer's disease (AD) is an age-related and progressive neurodegenerative disease. In this study, we generated an induced pluripotent stem cell (iPSC) line from the dermal fibroblasts of a 69-year-old female patient carrying APOEε3/ε4 allele and diagnosed with sporadic AD. The iPSC line will be a useful tool for investigating the pathogenesis mechanisms and for drug tests in AD.

Membrane vesicle delivery of a streptococcal M protein disrupts the blood-brain barrier by inducing autophagic endothelial cell death.

M family proteins are critical virulence determinants of Streptococci. Streptococcus equi subsp. zooepidemicus (SEZ) are Group C streptococci that cause meningitis in animals and humans. SzM, the M protein of SEZ, has been linked to SEZ brain invasion. Here, we demonstrate that SzM is important in SEZ disruption of the blood-brain barrier (BBB). SEZ release SzM-bound membrane vesicles (MVs), and endocytosis of these vesicles by human brain endothelial microvascular cells (hBMECs) results in SzM-dependent cytotoxicity. Furthermore, administration of SzM-bound MVs disrupted the murine BBB. A CRISPR screen revealed that SzM cytotoxicity in hBMECs depends on PTEN-related activation of autophagic cell death. Pharmacologic inhibition of PTEN activity prevented SEZ disruption of the murine BBB and delayed mortality. Our data show that MV delivery of SzM to host cells plays a key role in SEZ pathogenicity and suggests that MV delivery of streptococcal M family proteins is likely a common streptococcal virulence mechanism.

Paxlovid for hospitalized COVID-19 patients with chronic kidney disease.

BACKGROUND: COVID-19 causes significant mortality during the recent pandemic. Data regarding the effectiveness of Paxlovid on COVID-19 patients with chronic kidney disease (CKD, eGFR <90 ml/min) are limited. METHODS: A retrospective cohort study was performed on the clinical data of the hospitalized adult patients with confirmed COVID-19 infection collected at Renji Hospital from April 7, 2022 to June 21, 2022. The association of Paxlovid treatment with early (within 5 days post diagnosis) or late (5 days or later post diagnosis) initiation time with clinical outcomes was assessed by Cox proportional hazards regression model with time-dependent covariates. RESULT: 1279 of 2387 enrollees were included in the study. Patients with early initiation of Paxlovid had a lower all-cause death rate compared to those with late initiation or without Paxlovid treatment (P = 0.046). For the CKD patients with Charlson comorbidity index (CCI) > 7, the early initiation of Paxlovid was associated with a lower all-cause death rate compared to the later initiation or the lack of Paxlovid treatment (P = 0.041). Cox regression analyses revealed that eGFR (HR 4.21 [95%, CI 1.62-10.99]), Paxlovid treatment (0.32 [0.13-0.77]), CCI (4.32 [1.64-11.40]), ICU admission (2.65 [1.09-6.49]), hsCRP (3.88 [1.46-7.80]), chronic liver disease (4.02 [1.09-14.85]) were the independent risk factors for all-cause death for CKD patients after adjusting for demographics and biochemical indexes. CONCLUSIONS: All-cause death, invasive ventilation, and ICU admission were all significantly lowered by an early initiation of Paxlovid treatment in COVID-19 patients with severe CKD.

Lymphocytes, Mean Platelet Volume, and Albumin in Critically Ill COVID-19 Patients with Venous Thromboembolism.

As one of the frequent complications leading to poor prognosis in hospitalized COVID-19 patients, a better understanding of venous thromboembolism (VTE) in COVID-19 patients is needed. We conducted a single-center, retrospective study on 96 COVID-19 patients admitted to the intensive care unit (ICU) from April to June 2022, in Shanghai Renji Hospital. Records of these COVID-19 patients upon admission were reviewed for demographic information, co-morbidities, vaccinations, treatment, and laboratory tests. VTE occurred in 11 (11.5%) cases among 96 COVID-19 patients despite the standard thromboprophylaxis since ICU admission. In COVID-VTE patients, a significant increase in B cells and a decrease in Ts cells were observed and a strong negative correlation (r = -0.9524, P = .0003) was found between these two populations. In COVID-19 patients with VTE, increased MPV and decreased albumin levels were seen in addition to the common VTE indicators of D-dimer abnormalities. The altered lymphocyte composition in COVID-VTE patients is noteworthy. In addition to D-dimer, MPV and albumin levels might be novel indicators for the risk of VTE in COVID-19 patients.

Nirmatrelvir/ritonavir for patients with SARS-CoV-2 infection and impaired kidney function during the Omicron surge.

Background: Nirmatrelvir/ritonavir has demonstrated effectiveness in high-risk patients with coronavirus disease 2019 (COVID-19). However, investigations on the efficacy and safety of nirmatrelvir/ritonavir in patients with kidney dysfunction are limited. Methods: Data were collected from the patients admitted to a COVID-19 referral center in Shanghai, China. Patients were at least 18 years of age and had a baseline estimated glomerular filtration rate (eGFR) of <60 ml/min/1·73 m2. The primary endpoint was a composite of all-cause mortality, intensive care unit admission, or cardiovascular events. The secondary endpoint was viral shedding. Results: Among the 195 participants, 73 received nirmatrelvir/ritonavir. A lower risk of the primary endpoint was observed in nirmatrelvir/ritonavir recipients compared with non-recipients [adjusted HR 0.56 (95% CI: 0.32-0.96); p = 0.035]. Nirmatrelvir/ritonavir recipients experienced a shorter duration of viral shedding [adjusted HR 3·70 (95%CI: 2.60-5.28); p < 0.001) and faster viral load clearance versus non-recipients. Among the nirmatrelvir/ritonavir users, earlier initiation of nirmatrelvir/ritonavir within 5 days since COVID-19 diagnosis was related with shorter viral shedding time (adjusted HR 7.84 [95% CI: 3.28-18.76]; p < 0.001) compared to late initiation. No patients reported serious adverse events during treatment. Conclusion: Our findings support the early initiation of nirmatrelvir/ritonavir for high-risk patients with impaired kidney function. This could improve patient outcomes and shorten the viral shedding period.

Adaptive immune dysfunction in patients with COVID-19 and impaired kidney function during the omicron surge.

BACKGROUND: Little is known about the characteristics of lymphocyte subsets and the association with patient outcomes in COVID-19 with and without impaired kidney function. METHODS: Lymphocyte subsets were compared in COVID-19 patients with or without kidney dysfunction. The primary outcome was a composite of all-cause mortality or intensive care unit admission. Secondary outcomes included duration of viral shedding, length of hospital stay, and acute kidney injury. RESULTS: Lymphocyte subset cell counts demonstrated the lowest in patients with severe/critical COVID-19 and kidney dysfunction. Among all lymphocyte subset parameters, Th cell count was the most significant indicator for outcomes. ROC of the combined model of Th cell count and eGFR presented better predictive value than that of the other parameters. Th cell count <394.5 cells/µl and eGFR <87.5 ml/min/1·73m2 were independently associated with poor outcomes. The propensity score matching analysis revealed consistent results. CONCLUSIONS: Reduced Th cell count and eGFR may be applied as promising predictive indicators for identifying COVID-19 patients with high risk and poor outcomes.

Refractory Osteomyelitis Caused by Mycobacterium aubagnense and Its L-Form: Case Report and Review of the Literature.

Purpose: To report a rare case of tibial osteomyelitis caused by Mycobacterium aubagnense and its L-form, to systematically review non-tuberculous mycobacteria (NTM) infections of the bones, and to summarize the medication guidelines for infections with NTM and its L-forms. Methods: Case report and literature review. Results: We report a 31-year-old HIV-positive man who developed osteomyelitis caused by M. aubagnense and its L-form. Culture, electron microscopy, polymerase chain reaction assay, and a reversion test confirmed the existence of M. aubagnense. The patient was treated with surgical debridement and a combination of systemic antibiotics, and continued to take antiretroviral treatment. Some clinical improvement was noted shortly after the initiation of this treatment. Resolution of osteomyelitis was achieved after 10 months. We also systematically reviewed cases of NTM osteomyelitis in the PubMed database and compared antibiotic sensitivity between L-forms and their prototype bacteria. We have summarized the treatment regimens for infections of the bone and bone marrow caused by NTM and their L-forms. Conclusion: We have reported the first case of refractory osteomyelitis caused by M. aubagnense and its L-form in a patient with immune deficiency, reviewed the literature on NTM osteomyelitis, and compared the antibiotic sensitivity of L-forms and their prototype bacteria.

Artificial Intelligence in Intensive Care Medicine: Bibliometric Analysis.

BACKGROUND: Interest in critical care-related artificial intelligence (AI) research is growing rapidly. However, the literature is still lacking in comprehensive bibliometric studies that measure and analyze scientific publications globally. OBJECTIVE: The objective of this study was to assess the global research trends in AI in intensive care medicine based on publication outputs, citations, coauthorships between nations, and co-occurrences of author keywords. METHODS: A total of 3619 documents published until March 2022 were retrieved from the Scopus database. After selecting the document type as articles, the titles and abstracts were checked for eligibility. In the final bibliometric study using VOSviewer, 1198 papers were included. The growth rate of publications, preferred journals, leading research countries, international collaborations, and top institutions were computed. RESULTS: The number of publications increased steeply between 2018 and 2022, accounting for 72.53% (869/1198) of all the included papers. The United States and China contributed to approximately 55.17% (661/1198) of the total publications. Of the 15 most productive institutions, 9 were among the top 100 universities worldwide. Detecting clinical deterioration, monitoring, predicting disease progression, mortality, prognosis, and classifying disease phenotypes or subtypes were some of the research hot spots for AI in patients who are critically ill. Neural networks, decision support systems, machine learning, and deep learning were all commonly used AI technologies. CONCLUSIONS: This study highlights popular areas in AI research aimed at improving health care in intensive care units, offers a comprehensive look at the research trend in AI application in the intensive care unit, and provides an insight into potential collaboration and prospects for future research. The 30 articles that received the most citations were listed in detail. For AI-based clinical research to be sufficiently convincing for routine critical care practice, collaborative research efforts are needed to increase the maturity and robustness of AI-driven models.