Targeted metabolomics profiling in pregnancy associated with vitamin D deficiency.

BACKGROUND: Vitamin D deficiency is common in pregnancy, however, its effects has not been fully elucidated. Here, we conducted targeted metabolomics profiling to study the relationship. METHODS: This study enrolled 111 pregnant women, including sufficient group (n = 9), inadequate group (n = 49) and deficient group (n = 53). Ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS)-based targeted metabonomics were used to characterize metabolite profiles associated with vitamin D deficiency in pregnancy. RESULTS: Many metabolites decreased in the inadequate and deficient group, including lipids, amino acids and others. The lipid species included fatty acyls (FA 14:3, FA 26:0; O), glycerolipids (MG 18:2), glycerophospholipids (LPG 20:5, PE-Cer 40:1; O2, PG 29:0), sterol lipids (CE 20:5, ST 28:0; O4, ST 28:1; O4). Decreased amino acids included aromatic amino acids (tryptophan, phenylalanine, tyrosine) and branched-chain amino acids (valine, isoleucine, leucine), proline, methionine, arginine, lysine, alanine, L-kynurenine,5-hydroxy-L-tryptophan, allysine. CONCLUSIONS: This targeted metabolomics profiling indicated that vitamin D supplementation can significantly affect lipids and amino acids metabolism in pregnancy.

Gamma-aminobutyric acid supplementation improves olanzapine-induced insulin resistance by inhibiting macrophage infiltration in mice subcutaneous adipose tissue.

AIMS: To investigate whether gamma-aminobutyric acid (GABA) supplementation improves insulin resistance during olanzapine treatment in mice and to explore the underlying mechanisms. MATERIALS AND METHODS: Insulin resistance and body weight gain were induced in mice by 10 weeks of olanzapine treatment. Simultaneously, the mice were administered GABA after 4 weeks of olanzapine administration. RESULTS: We found that mice treated with olanzapine had lower GABA levels in serum and subcutaneous white adipose tissue (sWAT). GABA supplementation restored GABA levels and improved olanzapine-induced lipid metabolism disorders and insulin resistance. Chronic inflammation in adipose tissue is one of the main contributors to insulin resistance. We found that GABA supplementation inhibited olanzapine-induced adipose tissue macrophage infiltration and M1-like polarization, especially in sWAT. In vitro studies showed that stromal vascular cells, rather than adipocytes, were sensitive to GABA. Furthermore, the results suggested that GABA improves olanzapine-induced insulin resistance at least in part through a GABAB receptor-dependent pathway. CONCLUSIONS: These findings suggest that targeting GABA may be a potential therapeutic approach for olanzapine-induced metabolic disorders.

Nirmatrelvir-Ritonavir Reduced Mortality in Hospitalized Patients with COVID-19 During the Omicron Outbreak: Real-World Evidence from Beijing.

Objective: The efficacy of nirmatrelvir-ritonavir for hospitalized patients with COVID-19 has not been fully established. Methods: We conducted a retrospective analysis of hospitalized COVID-19 patients with high risk for disease progression at Beijing Chaoyang Hospital from October 15, 2022, to March 31, 2023. Patients ≥18 years old who were hospitalized with COVID-19 within 5 days of symptom onset were included. Baseline data were obtained from the routine electronic health record database of the hospital information system. Outcomes were monitored at 28 days via electronic medical record reviews or telephone interviews. Results: We identified 1120 patients hospitalized with COVID-19 during the study period. After exclusions, 167 nirmatrelvir-ritonavir users and 132 controls were included. 28-day all-cause mortality rate was 12.0% (20/167) in the nirmatrelvir-ritonavir group, versus 22.7% (30/132) in the control group (unadjusted log-rank p = 0.010; HR = 0.49, 95% confidence interval [CI] = 0.28-0.86, IPTW-adjusted HR = 0.58, 95% CI = 0.40-0.86). The 28-day disease progression rates did not differ between the two groups (unadjusted HR = 0.59, 95% CI = 0.34-1.02, IPTW-adjusted HR = 0.73, 95% CI = 0.50-1.06). Nirmatrelvir-ritonavir significantly reduced all-cause mortality and disease progression within 28 days among patients aged ≥65 years without ≥2 vaccine doses. Conclusion: We found significantly reduced all-cause mortality in the nirmatrelvir-ritonavir group, particularly in elderly patients who were incompletely vaccinated. Future randomized controlled studies are needed to validate our findings.

Immune checkpoint inhibitor related myositis: an observational, retrospective, pharmacovigilance study.

BACKGROUND: Immune checkpoint inhibitors (ICIs) show promise in cancer treatment, but recent cases highlight myositis as a serious complication. RESEARCH DESIGN AND METHODS: We did a retrospective study on drug safety using FAERS data up to Q3 2022, focusing on immune checkpoint inhibitors (ICIs) and myositis. We used IC and ROR to assess the association. Logistic regression in R 3.2.5 helped identify factors linked to fatal outcomes. RESULTS: We identified 558 cases of ICIs-associated myositis. Our study found a significant link between ICIs and myositis (ROR 15.54 [14.23-16.96], IC 3.79 [3.66-3.92], see Figure 1). Notably, myositis was more common in patients on ICI combination therapy compared to monotherapy (ROR 1.72 [1.39-2.11], IC 0.63 [0.30-0.93]). Age increased the risk of ICI-associated myositis and was also a factor in fatality (p = 0.011). Common accompanying adverse events included myocarditis (21.33%), severe myasthenia gravis (16.49%), and malignant neoplasm progression (8.06%). Fatal cases were more common when myositis was accompanied by myocarditis, severe myasthenia gravis, or malignant neoplasm progression. CONCLUSIONS: Clinicians must note the risk of ICI-associated myositis, especially dangerous in older patients or when combined with other issues like myocarditis or severe myasthenia gravis.

Prevalence of aggressive care among patients with cancer near the end of life: a systematic review and meta-analysis.

Background: Aggressive care near patients' end-of-life (EOL) entails limited therapeutic values, high costs, and compromised quality of life (QoL). In this study, we aimed to estimate the global prevalence of aggressive care in patients with cancer and explore potential subgroup differences. Methods: We searched PubMed, Embase, and the Cochrane Library from database inception to Feb 16, 2024. Eligible studies reported the prevalence of aggressive EOL care using at least one quantifiable measure. Random-effects models were used to derive the pooled prevalence and subgroup analyses were performed to investigate differences in the prevalence of aggressive care across regions, the country's level of economic development, tumor types, ages, and sample sizes. This review is registered with PROSPERO, number CRD42023467839. Findings: A total of 129 studies were included in this systematic review, of which 118 (91.5%) were from high-income countries. Studies were mostly conducted in the Americas (60, 46.5%), Europe (34, 26.4%), and Western Pacific (31, 24.0%). Measures of aggressive care were inconsistent across studies, with the most commonly used measure being the use of chemotherapy in the last 14 days of life (DOLs) (n = 87, 67.4%) and intensive care unit (ICU) stay in the last 30 DOLs (n = 87, 67.4%). The prevalence of the five claims-based measures of aggressive care, i.e., chemotherapy in the last 14 DOLs, ICU stay in the last 30 DOLs, repeated hospital admission in the last 30 DOLs, repeated emergency room (ER) visit in the last 30 DOLs, and hospice care <3 days before death were 11.6% (95% CI, 9.8%-13.4%), 14.4% (95% CI, 11.8%-17.0%), 17.9% (95% CI, 14.4%-21.4%), 14.8% (95% CI, 12.0%-17.6%), and 14.4% (95% CI, 11.2%-17.6%), respectively. Regional differences were statistically significant in the prevalence of ICU stay and repeated hospital admission in the last 30 DOLs (p < 0.01; p = 0.03). Patients with hematologic malignancies were more likely to receive aggressive care than those with solid tumors, as seen in their higher rates of chemotherapy in the last 14 DOLs (21.7% versus 11.6%; p = 0.03), ICU stay in the last 30 DOLs (25.5% versus 10.8%; p < 0.01), and hospice care <3 days before death (26.7% versus 14.2%; p < 0.01). In addition, the prevalence of chemotherapy in the last 14 DOLs (26.2%; p < 0.01) and repeated hospital admission in the last 30 DOLs (31.4%; p < 0.01) were highest among pediatric patients with cancer. Interpretation: This meta-analysis found that aggressive EOL care was common in patients with cancer, regardless of the definition used, and varied by regions and populations. It is necessary to be aware of the global burden of aggressive care for patients with cancer near their EOL and take prompt action to address it. Funding: National Natural Science Foundation of China (Grant No. 72274004).

Antibiotic combinations prediction based on machine learning to multicentre clinical data and drug interaction correlation.

BACKGROUND: With increasing antibiotic resistance and regulation, the issue of antibiotic combination has been emphasised. However, antibiotic combination prescribing lacks a rapid identification of feasibility, while its risk of drug interactions is unclear. METHODS: We conducted statistical descriptions on 16 101 antibiotic coprescriptions for inpatients with bacterial infections from 2015 to 2023. By integrating the frequency and effectiveness of prescriptions, we formulated recommendations for the feasibility of antibiotic combinations. Initially, a machine learning algorithm was utilised to optimise grading thresholds and habits for antibiotic combinations. A feedforward neural network (FNN) algorithm was employed to develop antibiotic combination recommendation model (ACRM). To enhance interpretability, we combined sequential methods and DrugBank to explore the correlation between antibiotic combinations and drug interactions. RESULTS: A total of 55 antibiotics, covering 657 empirical clinical antibiotic combinations were used for ACRM construction. Model performance on the test dataset showed AUROCs of 0.589-0.895 for various antibiotic recommendation classes. The ACRM showed satisfactory clinical relevance with 61.54-73.33% prediction accuracy in a new independent retrospective cohort. Antibiotic interaction detection showed that the risk of drug interactions was 29.2% for strongly recommended and 43.5% for not recommended. A positive correlation was identified between the level of clinical recommendation and the risk of drug interactions. CONCLUSIONS: Machine learning modelling of retrospective antibiotic prescriptions habits has the potential to predict antibiotic combination recommendations. The ACRM plays a supporting role in reducing the incidence of drug interactions. Clinicians are encouraged to adopt such systems to improve the management of antibiotic usage and medication safety.

Machine learning reveals serum myristic acid, palmitic acid and heptanoylcarnitine as biomarkers of coronary artery disease risk in patients with type 2 diabetes mellitus.

BACKGROUND: Coronary heart disease (CHD) is the most important complication of type 2 diabetes mellitus (T2DM) and the leading cause of death. Identifying the risk of CHD in T2DM patients is important for early clinical intervention. METHODS: A total of 213 participants, including 81 healthy controls (HCs), 69 T2DM patients and 63 T2DM patients complicated with CHD were recruited in this study. Serum metabolomics were conducted by using ultra-high performance liquid chromatography coupled with tandem mass spectrometry (UHPLC-MS/MS). Demographic information and clinical laboratory test results were also collected. RESULTS: Metabolic phenotypes were significantly altered among HC, T2DM and T2DM-CHD. Acylcarnitines were the most disturbed metabolites between T2DM patients and HCs. Lower levels of bile acids and higher levels of fatty acids in serum were closely associated with CHD risk in T2DM patients. Artificial neural network model was constructed for the discrimination of T2DM and T2DM complicated with CHD based on myristic acid, palmitic acid and heptanoylcarnitine, with accuracy larger than 0.95 in both training set and testing set. CONCLUSION: Altogether, these findings suggest that myristic acid, palmitic acid and heptanoylcarnitine have a good prospect for the warning of CHD complications in T2DM patients, and are superior to traditional lipid, blood glucose and blood pressure indicators.

Anticancer drug-induced interstitial lung disease: a critical appraisal of clinical practice guidelines and consensus statements.

Anticancer drug-induced interstitial lung disease (DIILD) has received increasing clinical attention, and the quality of relevant guidance documents has become critical. Our purpose was to assess the quality of documents for anticancer DIILD and summarize the recommendations. Clinical practice guidelines (CPGs) and consensus statements with recommendations were searched in electronic databases, websites of guideline organizations, and professional societies. The quality of documents was assessed using the Appraisal of Guidelines for Research & Evaluation II (AGREE II) methodology, and the specific recommendations were aggregated and compared. A total of 11 documents were eligible, including 6 CPGs and 5 consensus statements, and the quality of AGREE II assessments differed greatly. The domains of scope and purpose and clarity of presentation received the highest median scores, while the stakeholder involvement domain received the lowest score. Recommendations were inconsistent between documents, particularly regarding the selection of steroid regimens. The methodological quality of the guidance documents needs to be enhanced, especially in the domain of stakeholder involvement. Inconsistencies exist in documents, and further discussions among multidisciplinary experts are needed. Particularly, differences in steroid regimens require attentions, and researches on the risks of adverse events and discovery of precise biomarkers are necessary.

Effectiveness and safety of nirmatrelvir-ritonavir in kidney transplant recipients with severe kidney dysfunction infected with COVID-19.

Transplant patients face an elevated risk of coronavirus disease 2019 (COVID-19) morbidity and mortality and commonly encounter renal dysfunction. Nirmatrelvir is primarily excreted through the kidneys. The dosage of nirmatrelvir/ritonavir (NR) needs to be adjusted according to the degree of renal function impairment. Nevertheless, NR is not recommended for patients with severe renal impairment (estimated glomerular filtration rate < 30 mL/min) due to a dearth of associated research. In this study, we focus on kidney transplant patients and document and analyze the experiences of using NR in individuals with severe kidney dysfunction. This was a retrospective multicenter study that included transplant recipients hospitalized for COVID-19 in five major tertiary hospitals in China from December 2022 to June 2023. The outcomes consisted of the disease progression rate by day 28, individual disease progression events, safety outcomes, information on adverse events (AEs), and the blood drug concentrations of immunosuppressants. Data were presented with descriptive statistics. All analyses were performed using SPSS version 22. In total, 40 patients were included in the analysis. Considering the potential interaction between drugs, all patients temporarily discontinued their immunosuppressants during the NR treatment. None of the 32 moderate patients experienced disease progression. However, among the eight patients with critical COVID-19, unfortunately, two of them died. During the medication period, four patients experienced a total of six AEs associated with NR. None of them experienced AEs with a maximum grade of ≥3. Blood drug concentrations of immunosuppressants were monitored in 22 of 40 patients, and the blood drug concentrations of immunosuppressants did not show a significant increase, but some patients experienced lower blood drug concentrations. Our findings supported the use of NR therapy for the treatment of COVID-19 in transplant patients with severe renal insufficiency. A modified dose of NR was well-tolerated.

Comparison of clinical and economic evaluation between selected generic and original febuxostat tablets in Chinese gout patients with hyperuricemia: A real-world multicenter retrospective study.

Generic febuxostat tablets were listed in China's third-round centralized drug procurement program. However, there are no sufficient data available on the use of febuxostat in a real-world setting. This study aimed to compare the efficacy, safety, and cost of selected generic febuxostat with original febuxostat in primary gout and hyperuricemia. Medical records at 3 tertiary hospitals from January 2014 to February 2022 were retrospectively analyzed. Propensity score matching was used to balance the distribution of baseline characteristics. The proportion of patients achieving target serum uric acid (SUA) levels at 12 weeks, the percent changes from baseline in SUA, adverse drug reactions, and the cost of febuxostat therapy were assessed. A total of 221 patients were recruited and 57 pairs of patients were 1:1 matched in the 2 groups. There was no statistically significant difference in the proportion of patients achieving a target SUA levels below 300 µmol/L, the percent changes of SUA decreased from baseline, and the incidence of adverse drug reactions between the 2 groups (all P > .05). The daily febuxostat cost in the generic group were significantly lower than that in original group (P < .05). Based on the results of this study, the clinical efficacy of selected generic febuxostat is comparable to that of original febuxostat for gout with hyperuricemia. No serious adverse reactions were reported in the 2 groups, and generic febuxostat is more economical than the original febuxostat.

Formaldehyde aggravates airway inflammation through induction of glycolysis in an experimental model of asthma exacerbated by lipopolysaccharide.

Formaldehyde (FA) exposure has been reported to induce or aggravate allergic asthma. Infection is also a potential risk factor for the onset and aggravation of asthma. However, no study has addressed the effects of FA exposure on asthmatic patients with respiratory infection. FA is ubiquitous in environment and respiratory infections are common in clinics. Therefore, it is necessary to explore whether FA exposure leads to the further worsening of symptoms in asthma patients with existing respiratory infection. In the present study, ovalbumin (OVA) was used to establish the murine asthma model. Lipopolysaccharide (LPS) was intratracheal administrated to mimic asthma with respiratory infection. The mice were exposed to 0.5 mg/m3 FA. FA exposure did not induce a significant aggravation on OVA induced allergic asthma. However, the lung function of specific airway resistance (sRaw), histological changes and cytokines production were greatly aggravated by FA exposure in OVA/LPS induced murine asthma model. Monocyte-derived macrophages (MDMs) were isolated from asthmatic patients. Exposure of MDMs to FA and LPS resulted in increased TNF-α, IL-6, IL-1ß, and nitric oxide (NO) production. Lactate produciton and lactate dehydrogenase A (LDHA) expression were found to be upregulated by FA in OVA/LPS induced asthmatic mice and LPS stimulated MDMs. Furthermore, glycolysis inhibitor 2-Deoxy-d-glucose attenuated FA and LPS induced TNF-α, IL-6, IL-1ß, and NO production. We conclude that FA exposure can lead to the aggravation of allergic asthma with infection through induction of glycolysis. This study could offer some new insight into how FA promotes asthma development.

Development and validation of a nomogram predictive model for colorectal adenoma with low-grade intraepithelial neoplasia using routine laboratory tests: A single-center case-control study in China.

Background: Colorectal cancer (CRC) is the third most common cancer in the world and has a high mortality rate. Colorectal adenoma (CRA) is precancerous lesions of CRC. The purpose of the present study was to construct a nomogram predictive model for CRA with low-grade intraepithelial neoplasia (LGIN) in order to identify high-risk individuals, facilitating early diagnosis and treatment, and ultimately reducing the incidence of CRC. Methods: We conducted a single-center case-control study. Based on the results of colonoscopy and pathology, 320 participants were divided into the CRA group and the control group, the demographic and laboratory test data were collected. A development cohort (n = 223) was used for identifying the risk factors for CRA with LGIN and to develop a predictive model, followed by an internal validation. An independent validation cohort (n = 97) was used for external validation. Receiver operating characteristic curve, calibration plot and decision curve analysis were used to evaluate discrimination ability, accuracy and clinical practicability of the model. Results: Four predictors, namely sex, age, albumin and monocyte count, were included in the predictive model. In the development cohort, internal validation and external validation cohort, the area under the curve (AUC) of this risk predictive model were 0.946 (95%CI: 0.919-0.973), 0.909 (95 % CI: 0.869-0.940) and 0.928 (95%CI: 0.876-0.980), respectively, which demonstrated the model had a good discrimination ability. The calibration plots showed a good agreement and the decision curve analysis (DCA) suggested the predictive model had a high clinical net benefit. Conclusion: The nomogram model exhibited good performance in predicting CRA with LGIN, which can aid in the early detection of high-risk patients, improve early treatment, and ultimately reduce the incidence of CRC.

Effectiveness of inactivated COVID-19 vaccines against SARS-CoV-2 Omicron subvariant BF.7 among outpatients in Beijing, China.

OBJECTIVE: To evaluate the effectiveness of inactivated vaccines against SARS-CoV-2 Omicron subvariant BF.7. METHODS: Information was extracted from outpatients diagnosed with COVID-19 between December 19, 2022 and January 5, 2023 at a single center. Univariate and multivariate logistic regression were performed and three adjusted models were conducted. Vaccine effectiveness (VE) was defined as (1 - OR) × 100 %. RESULTS: Our study comprised a total of 752 outpatients. After adjusting for factors with a P-value < 0.10 in univariable logistic regression, the VE of booster vaccine was 65.4 % (95 % CI6.1-87.3 %, P = 0.037) in comparison with unvaccinated group. Results of the other two adjusted models were similar, which were 66.3 % (95 % CI: 9.0-87.6 %, P = 0.032) and 64.8 % (95 % CI: 3.6-87.1 %, P = 0.042), respectively. Stratified analysis based on underlying diseases indicated that inactivated vaccines did not provide any protection to patients without underlying diseases. In the population with underlying diseases, the VE of booster vaccination was 68.2 % (95 % CI: 8.4-88.9 %, P = 0.034) after adjustment. However, full vaccination did not demonstrate any protection in all models. CONCLUSION: There was an effectiveness of three-dose inactivated vaccines against Omicron subvariant BF.7. Our findings supported the importance of booster vaccination.

Clinical characteristics and factors for serious outcomes among outpatients infected with the Omicron subvariant BF.7.

To evaluate clinical characteristics and identify risk factors associated with severe outcomes in outpatients infected with the Omicron subvariant BF.7, data were collected from outpatients diagnosed with Corona Virus Disease 2019 from December 19, 2022 to January 5, 2023. Clinical characteristics were analyzed using descriptive statistics. Univariate and multivariate logistic regression analyses were conducted to identify factors associated with serious outcomes. Variables with a p < 0.10 in the univariate analysis were included in the multivariate model. Our study analyzed 770 patients, of whom 380 (49.4%) were male, with a median age of 59. The most common symptoms reported were cough (71.2%), fever (64.7%), and sore throat (37.7%). Fever lasted an average of 5.93 ± 3.37 days for the general population and 10.64 ± 7.12 days for impaired-immunity patients. Most cases were mild (68.7%), followed by moderate (27.1%). Severe cases accounted for 2.2%, with 0.5% critically ill. Serious outcomes occurred in 4.2% of cases, with 11 deaths during follow-up. Underlying-diseases patients had a higher rate of serious outcomes. Factors associated with serious outcomes included receiving a three-dose vaccination (odds ratio [OR] = 0.324, 95% confidence interval [CI]: 0.113-0.932, p = 0.037), male gender (OR = 2.890, 95% CI: 1.107-7.548, p = 0.030), age (OR = 1.060, 95% CI: 1.024-1.097, p = 0.001), and chest tightness or dyspnea at the time of visit (OR = 4.861, 95% CI: 2.054-11.507, p < 0.001). Our study found that cough, fever, and sore throat were the most common symptoms reported by patients. Receiving a three-dose vaccination was protective, while male gender, age, and chest tightness or dyspnea were identified as risk factors for serious outcomes.

Urinary tract infection following the use of BTK inhibitors: a real-world analysis of post-marketing surveillance data.

BACKGROUND: Emerging case reports have raised awareness of urinary tract infection (UTI) which maybe a potentially serious complication. The present study aimed to summarize the clinical characteristics of patients with BTK inhibitor-related UTI, and the association between BTK inhibitors and UTI events was also assessed by disproportionality analysis. RESEARCH DESIGN AND METHODS: We conducted an observational, retrospective, and pharmacovigilance study using data from the Food and Drug Administration Adverse Event Reporting System (FAERS) database. Data were retrieved from Quarter 1, 2004 to Quarter 2, 2022. The clinical characteristics of cases were summarized using descriptive statistics. We used the χ2 or Fisher exact methods for the analysis of categorical variables and the Mann-Whitney test or Student's t-text for the comparisons of continuous variables between fatal and non-fatal cases. A p-value less than 0.05 is considered to be statistically significant. Information component (IC) and reporting odds ratio (ROR) were used to evaluate the association. RESULTS: BTK inhibitors were identified as the suspected drug causing UTI in 539 cases. The age of those cases concentrated on 60-89 years (87.83%, data available in 263/539). UTI signals were detected during BTK inhibitors treatment (IC 0.95[0.83-1.08], ROR 1.96[1.80-2.13]). The association between BTK inhibitors and UTI events was shown among all groups but not in the group of age<60 years old. There were no significant differences in age and gender between fatal and non-fatal cases. However, a significant difference in reporting regions was found (p = 0.016), with the highest percentage of reported deaths occurring in Europe (26.15%, p = 0.000). CONCLUSIONS: Our study suggested a safety signal for UTI and BTK inhibitors compared to all other drugs in the database, especially in the elder (age ≥60). Further studies are needed to clarify these results.

Bleeding Complications in Vancomycin-Induced Thrombocytopenia: A Real-world Postmarketing Pharmacovigilance Analysis.

PURPOSE: Vancomycin and linezolid are first-line drugs used for the prophylaxis and treatment of methicillin-resistant Staphylococcus aureus (MRSA) infections. Vancomycin is well known as the best alternative drug when linezolid-induced thrombocytopenia occurs. However, several cases with vancomycin-induced thrombocytopenia, especially with bleeding complications, have been reported recently, which has attracted attention. The objective of this study is to assess the potential relevance between vancomycin and bleeding complications in thrombocytopenia. METHODS: This is a real-world pharmacovigilance study conducted in October 2022 using the US Food and Drug Administration Adverse Event Reporting System (FAERS) database. We performed a disproportional analysis to assess the risk of bleeding complications in vancomycin-induced thrombocytopenia by calculating reporting odds ratios (RORs) and information components (ICs), with a weak signal defined as a lower limit of the IC 95% CI of 0 to 1.5, a middle signal defined as a lower limit of the IC 95% CI of 1.5 to 3.0, and a strong signal defined as a lower limit of the IC 95% CI of >3.0. FINDINGS: There were 21,854 cases in the FAERS database that listed vancomycin as a suspected drug from quarter 1 of 2004 to quarter 2 of 2022. There were 800 cases of vancomycin-induced thrombocytopenia and 125 cases of bleeding complications in vancomycin-induced thrombocytopenia. Teicoplanin, tigecycline, and vancomycin (3 middle signals) were sequentially less associated with thrombocytopenia than linezolid (strong signal). However, bleeding complications in thrombocytopenia were significant associated with vancomycin (ROR = 9.641; 95% CI, 8.105-11.468; IC = 3.184; 95% CI, 2.929-3.440 [middle signal]), followed by linezolid (ROR = 9.350; 95% CI, 7.318-11.947; IC = 3.106; 95% CI, 2.745-3.466 [middle signal]), teicoplanin (ROR = 6.399; 95% CI, 2.869-14.272; IC = 2.059; 95% CI, 0.881-3.283 [weak signal]), and daptomycin (ROR = 2.784; 95% CI, 1.496-5.180; IC = 1.287; 95% CI, 0.374-2.201 [weak signal]). Tigecycline and daptomycin were the least likely anti-MRSA drug to cause thrombocytopenia (middle signal and weak signal, respectively) and bleeding complications in thrombocytopenia (no signal and weak signal, respectively). Middle signals of bleeding complication in vancomycin-induced thrombocytopenia were found in all group except those <45 to ≥80 years of age (weak signal). IMPLICATIONS: Bleeding complications in thrombocytopenia were significantly associated with vancomycin use, and the risk was highest among all the anti-MRSA drugs. Physicians should be aware of this possible serious adverse reaction.

Safety analysis of pemigatinib leveraging the US Food and Drug administration adverse event reporting system.

Background: Cholangiocarcinoma (CCA) is a highly lethal and aggressive epithelial tumor of the hepatobiliary system. A poor prognosis, propensity for relapse, low chance of cure and survival are some of its hallmarks. Pemigatinib, the first targeted treatment for CCA in the United States, has been demonstrated to have a significant response rate and encouraging survival data in early-phase trials. The adverse events (AEs) of pemigatinib must also be determined. Objective: To understand more deeply the safety of pemigatinib in the real world through data-mining of the US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS). Methods: Disproportionality analysis was employed in a retrospective pharmacovigilance investigation to identify the AEs linked to pemigatinib use as signals. Data were collected between 1 January 2020 to 30 June 2022. Four data-mining methods (proportional reporting odds ratio; proportional reporting ratio; Bayesian confidence propagation neural networks of information components; empirical Bayes geometric means) were used to calculate disproportionality. Results: A total of 203 cases using pemigatinib as the prime-suspect medication were found in our search, which involved 99 preferred terms (PTs). Thirteen signals of pemigatinib-induced AEs in seven System Organ Classes were detected after confirming the four algorithms simultaneously. Nephrolithiasis was an unexpected significant AE not listed on the drug label found in our data-mining. Comparison of the differences between pemigatinib and platinum drugs in terms of 33 PTs revealed that 13 PTs also met the criteria of the four algorithms. Ten of these PTs were identical to those compared with all other drugs, in which (excluding a reduction in phosphorus in blood) other PT signal values were higher than those of all other drugs tested. However, comparison of the differences between pemigatinib and infigratinib in terms of the 33 PTs revealed no significant signals in each algorithm method. Conclusion: Some significant signals were detected between pemigatinib use and AEs. PTs with apparently strong signals and PTs not mentioned in the label should be taken seriously.

Phosphatidylinositol 3 kinase inhibitor-related pneumonitis: a systematic review and meta-analysis.

INTRODUCTION: Serious phosphatidylinositol 3 kinase (PI3K) inhibitor-related pneumonitis has raised clinical concerns, and integrated data for this condition are lacking. METHODS: Randomized controlled trials (RCTs) comparing PI3K inhibitor therapy with control treatments from electronic databases and registrations were searched from inception to 1 April 20231 April 2023seven1 April 2023. The outcomes of our study were the incidence and risk of all-grade and grade ≥ 3 PI3K inhibitor-associated pneumonitis compared with controls. RESULTS: The meta-analysis included 13 studies comprising 3916 patients. The incidence of all-grade and grade ≥ 3 pneumonitis was 3.7% (82/2210) and 3.0% (35/1162) in patients treated with PI3K inhibitors. PI3K inhibitors significantly increased the risk of all-grade and grade ≥ 3 pneumonitis compared with controls (RR 5.63, 95% CI [2.97, 10.65], P < 0.00001; RR 6.85, 95% CI [2.45, 19.11], P = 0.0002, respectively) with no significant heterogeneity across studies. In terms of different PI3K inhibitors, copanlisib and idelalisib significantly increased the risk of pneumonitis compared to controls (RR 4.99, 95% CI [1.19, 21.01], P = 0.03; RR 5.53, 95% CI [2.35, 13.01], P < 0.0001, respectively). CONCLUSION: PI3K inhibitors significantly increased the risk of pneumonitis compared with controls, and most cases are severe or even life-threatening. PROSPERO REGISTRATION NUMBER: CRD42022318878.

Oral azvudine for mild-to-moderate COVID-19 in high risk, nonhospitalized adults: Results of a real-world study.

Azvudine is recommended by Chinese health authorities for COVID-19 treatment but has not been tested in real-world clinical studies. This study aimed to evaluate the real-world effectiveness of Azvudine among COVID-19 nonhospitalized patients. This was a retrospective cohort study, looking at nonhospitalized patients who tested positive for SARS-CoV-2. Patients admitted between December 19, 2022 and January 5, 2023 were included. Those who received Azvudine treatment were in the Azvudine group, while those who received supportive treatment were the control group. The primary outcome was the disease progression rate by Day 28. Secondary outcomes were individual disease progression outcomes (death or COVID-19-related hospitalization) and duration of fever. The safety outcomes were assessed based on adverse events (AEs) overall, as well as AEs that were considered to be related to the drug. A total of 804 patients with high risk for progression were enrolled in our study. Among them, 317 (39.43%) received treatment with Azvudine. Our study found that Azvudine could reduce the rate of disease progression, as well as rate of COVID-19-related hospitalization in patients comparing the control group. Furthermore, if taken within 3 days of the onset of symptoms, it could also shorten the duration of fever. Despite a higher incidence of drug-related AEs compared to supportive treatment, the majority of these were mild. Azvudine has been found to be effective in reducing the rate of disease progression of COVID-19, albeit with a slight increase in AEs.

Metabolomic analysis reveals the metabolic disturbance in aortic dissection: Subtype difference and accurate diagnosis.

BACKGROUND AND AIMS: Aortic dissection (AD), a severe clinical emergency with high mortality, is easily misdiagnosed as are other cardiovascular diseases. This study aimed at discovering plasma metabolic markers with the potential to diagnose AD and clarifying the metabolic differences between two subtypes of AD. METHODS AND RESULTS: To facilitate the diagnosis of AD, we investigated the plasma metabolic profile by metabolomic approach. A total 482 human subjects were enrolled in the study: 80 patients with AD (50 with Stanford type A and 30 with Stanford type B), 198 coronary artery disease (CAD) patients, and 204 healthy individuals. Plasma samples were submitted to targeted metabolomic analysis. The partial least-squares discriminant analysis models were constructed to illustrate clear discrimination of AD patients with CAD patients and healthy control. Subsequently, the metabolites that were clinically relevant to the disturbances in AD were identified. Twenty metabolites induced the separation of AD patients and healthy control, 9 of which caused the separation of CAD patients and healthy control. There are 11 metabolites specifically down-regulated in AD group. Subgroup analysis showed that the levels of glycerol and uridine were dramatically lower in the plasma of patients with Stanford type A AD than those in the healthy control or Stanford type B AD groups. CONCLUSION: This study characterized metabolomic profiles specifically associated with the pathogenesis and development of AD. The findings of this research may potentially lead to earlier diagnosis and treatment of AD.