Investigation of the potential molecular mechanisms of acupuncture in the treatment of long COVID: a bioinformatics approach.

Long COVID is a poorly understood condition characterized by persistent symptoms following the acute phase of COVID-19, including fatigue, cognitive impairment, and joint pain. Acupuncture, a key component of traditional Chinese medicine treatment, has shown potential in alleviating long COVID symptoms. However, the molecular mechanisms underlying its therapeutic effects remain largely unknown. In this study, we employed bioinformatics approaches to explore the potential molecular mechanisms of acupuncture's therapeutic effects on long COVID symptoms. We screened protein targets of active ingredients produced by the body after acupuncture and identified potential therapeutic targets of long COVID. Protein-protein interaction networks were constructed, and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed to identify key targets and pathways. Our findings provide valuable insights into the potential molecular mechanisms of acupuncture's therapeutic effects on long COVID symptoms and may contribute to the development of targeted therapies for managing this challenging condition.

Association between serum alkaline phosphatase and clinical prognosis in patients with acute liver failure following cardiac arrest: a retrospective cohort study.

BACKGROUND: Acute liver failure (ALF) following cardiac arrest (CA) poses a significant healthcare challenge, characterized by high morbidity and mortality rates. This study aims to assess the correlation between serum alkaline phosphatase (ALP) levels and poor outcomes in patients with ALF following CA. METHODS: A retrospective analysis was conducted utilizing data from the Dryad digital repository. The primary outcomes examined were intensive care unit (ICU) mortality, hospital mortality, and unfavorable neurological outcome. Multivariable logistic regression analysis was employed to assess the relationship between serum ALP levels and clinical prognosis. The predictive value was evaluated using receiver operator characteristic (ROC) curve analysis. Two prediction models were developed, and model comparison was performed using the likelihood ratio test (LRT) and the Akaike Information Criterion (AIC). RESULTS: A total of 194 patients were included in the analysis (72.2% male). Multivariate logistic regression analysis revealed that a one-standard deviation increase of ln-transformed ALP were independently associated with poorer prognosis: ICU mortality (odds ratios (OR) = 2.49, 95% confidence interval (CI) 1.31-4.74, P = 0.005), hospital mortality (OR = 2.21, 95% CI 1.18-4.16, P = 0.014), and unfavorable neurological outcome (OR = 2.40, 95% CI 1.25-4.60, P = 0.009). The area under the ROC curve for clinical prognosis was 0.644, 0.642, and 0.639, respectively. Additionally, LRT analyses indicated that the ALP-combined model exhibited better predictive efficacy than the model without ALP. CONCLUSIONS: Elevated serum ALP levels upon admission were significantly associated with poorer prognosis of ALF following CA, suggesting its potential as a valuable marker for predicting prognosis in this patient population.

Serum lactate/creatinine ratio and acute kidney injury in cardiac arrest patients.

OBJECTIVES: Serum lactate and creatinine levels upon admission in cardiac arrest (CA) patients significantly correlate with acute kidney injury (AKI) post-restoration of autonomic circulation. However, the association between serum lactate/creatinine ratio (LCR) and AKI in this population remains unclear. This study aimed to explore the relationship between LCR at admission and cardiac arrest-associated acute kidney injury (CA-AKI). DESIGN AND METHODS: We conducted a secondary analysis of previously published data on CA patient resuscitation, categorizing them into tertiles based on LCR levels. Univariate and multivariate logistic regression models and subgroup analyses were employed to investigate the association between LCR and CA-AKI. Non-linear correlations were explored using restricted cubic splines, and a two-piece wise logistic proportional hazards model for both sides of the inflection point was constructed. RESULTS: A total of 374 patients (72.19 % male) were included, with intensive care unit mortality, in-hospital mortality, and neurologic dysfunction rates of 51.87 %, 56.95 %, and 39.57 %, respectively. The overall CA-AKI incidence was 59.09 %. Multivariate logistic proportional hazards analysis revealed a negative association between LCR and CA-AKI incidence (adjusted odds ratio [OR] 0.85, 95 % confidence intervals [CI] = 0.78-0.93, P=0.001). Triple spline restriction analysis depicted an L-shaped correlation between baseline LCR and CA-AKI incidence. Particularly, a baseline LCR<0.051 was negatively associated with CA-AKI incidence (OR 0.494, 95 % CI=0.319-0.764, P=0.002). Beyond the LCR turning point, estimated dose-response curves remained consistent with a horizontal line. CONCLUSIONS: Baseline LCR in CA patients exhibits an L-shaped correlation with AKI incidence following restoration of autonomic circulation. The threshold for CA-AKI is 0.051. This finding suggests that LCR may aid in identifying CA patients at high risk of AKI.

Construction and validation of a risk prediction model for acute kidney injury in patients after cardiac arrest.

OBJECTIVE: Identifying patients at high risk for cardiac arrest-associated acute kidney injury (CA-AKI) helps in early preventive interventions. This study aimed to establish and validate a high-risk nomogram for CA-AKI. METHODS: In this retrospective dataset, 339 patients after cardiac arrest (CA) were enrolled and randomized into a training or testing dataset. The Student's t-test, non-parametric Mann-Whitney U test, or χ2 test was used to compare differences between the two groups. Optimal predictors of CA-AKI were determined using the Least Absolute Shrinkage and Selection Operator (LASSO). A nomogram was developed to predict the early onset of CA-AKI. The performance of the nomogram was assessed using metrics such as area under the curve (AUC), calibration curves, decision curve analysis (DCA), and clinical impact curve (CIC). RESULTS: In total, 150 patients (44.2%) were diagnosed with CA-AKI. Four independent risk predictors were identified and integrated into the nomogram: chronic kidney disease, albumin level, shock, and heart rate. Receiver operating characteristic (ROC) analyses showed that the nomogram had a good discrimination performance for CA-AKI in the training dataset 0.774 (95%CI, 0.715-0.833) and testing dataset 0.763 (95%CI, 0.670-0.856). The AUC values for the two groups were calculated and compared using the Hanley-McNeil test. No statistically significant differences were observed between the groups. The calibration curve demonstrated good agreement between the predicted outcome and actual observations. Good clinical usefulness was identified using DCA and CIC. CONCLUSION: An easy-to-use nomogram for predicting CA-AKI was established and validated, and the prediction efficiency of the clinical model has reasonable clinical practicability.

Relationship between serum lactate dehydrogenase and mortality after cardiac arrest: A retrospective cohort study.

Serum lactate dehydrogenase (LDH) has been identified as an independent risk factor for predicting all-cause mortality in patients with multiple diseases. However, the prognostic value of LDH levels in post-cardiac arrest patients remains uncertain. This study aimed to assess the association between LDH and mortality in intensive care unit (ICU) patients after cardiac arrest. This retrospective observational study is based on data from the Dryad Digital Repository, which included 374 consecutive adult patients after cardiac arrest. Patients were divided into 2 groups based on median LDH values. A multivariate Cox proportional hazards model was established to assess the independent relationship between LDH and ICU mortality. Cumulative mortality was compared using Kaplan-Meier curves. The cohort included 374 patients, of which 51.9% (194/374) died in the ICU. The overall death rate from cardiac arrest was significantly higher for patients with LDH ≥ 335 IU/L (59.6%) than for those with LDH < 335 IU/L (44.1%). In multiple Cox regression models, hazard ratios (HR) and corresponding 95% confidence intervals (CI) for logLDH and the 2 LDH groups were 1.72 (1.07, 2.78) and 1.42 (1.04, 1.93), respectively. Participants with LDH ≥ 335IU/L had a higher incidence of ICU mortality than LDH < 335 IU/L, as shown by the Kaplan-Meier curves (P = .0085). Subgroup analysis revealed that the association between LDH and ICU mortality was vitally stable, with all P interactions from different subgroups >.05. Serum LDH levels are positively associated with ICU mortality in patients after cardiac arrest, especially for patients with LDH ≥ 335 IU/L.

The efficacy of dexketoprofen for migraine attack: A meta-analysis of randomized controlled studies.

BACKGROUND: The efficacy of dexketoprofen for migraine attack remains controversial. We conduct a systematic review and meta-analysis to explore the influence of dexketoprofen supplementation versus placebo on pain control in migraine attack patients. METHODS: We search PubMed, EMbase, Web of science, EBSCO, and Cochrane library databases through March 2019 for randomized controlled trials (RCTs) assessing the effect of dexketoprofen supplementation versus placebo on pain control for migraine attack patients. This meta-analysis is performed using the random-effect model. RESULTS: Five RCTs involving 794 patients are included in the meta-analysis. Overall, compared with control group for migraine attack, dexketoprofen supplementation is associated with substantially increased pain free at 2 hours (RR = 1.90; 95% CI = 1.43-2.53; P < .0001), pain free at 48 hours (RR = 1.63; 95% CI = 1.07-2.49; P = .02), good or excellent treatment (RR = 1.48; 95% CI = 1.24-1.78; P < .0001) and pain relief at 2 hours (RR = 1.80; 95% CI = 1.17-2.77; P = .007), as well as reduced need for rescue drug (RR = 0.64; 95% CI = 0.43-0.94; P = .02), with no significant increase in adverse events (RR = 1.51; 95% CI = 0.87-2.62; P = .14). CONCLUSION: Dexketoprofen supplementation benefits to improve pain control at 48 hours and reduce the need for rescue drug in migraine attack patients.