Search

Background: To investigate the relationship between preoperative low serum albumin and perioperative blood transfusion in patients undergoing total joint arthroplasty (TJA). Methods: We enrolled 2,772 TJA patients from our hospital between January 1, 2017, and January 1, 2022. Clinical data were extracted from electronic medical records, including patient ID, sex, BMI (Body Mass Index), age, and diagnoses. Receiver operating characteristic curves were constructed to establish thresholds for serum albumin levels categorization. Propensity score matching (PSM) was developed with preoperative serum albumin as the dependent variable and perioperative blood transfusion-related factors as covariates, including BMI grade, age grade, sex, diagnosis, hypertension, diabetes, coronary heart disease, chronic obstructive pulmonary disease, chronic bronchitis, cerebral infarction, major surgeries within the last 12 months, renal failure, cancer, depression, corticosteroid use, smoking, drinking, and blood type. The low serum albumin group was matched with the normal albumin group at a 1:2 ratio, employing a caliper value of 0.2. Binary logistic regression was employed to analyze the outcomes. Results: An under the curve of 0.601 was discovered, indicating a cutoff value of 37.3 g/L. Following PSM, 892 cases were successfully paired in the low serum (< 37.3 g/L) albumin group, and 1,401 cases were matched in the normal serum albumin (≥ 37.3 g/L) group. Binary logistic regression in TJA patients showed that the albumin OR was 0.911 with 95%CI 0.888–0.935, P < 0.001. Relative to the preoperative normal serum albumin group, TJA patients in the low serum albumin group experienced a 1.83-fold increase in perioperative blood transfusion rates (95% CI 1.50–2.23, P < 0.001). Compared to the normal serum albumin group, perioperative blood transfusion rates for TJA patients with serum albumin levels of 30–37.3 g/L, 25–30 g/L, and ≤ 25 g/L increased by 1.63 (95% CI 1.37–1.99, P < 0.001), 5.4 (95% CI 3.08–9.50, P < 0.001), and 6.43 times (95% CI 1.80-22.96, P = 0.004), respectively. Conclusion: In TJA patients, preoperative low serum albumin levels have been found to be associated with an increased risk of perioperative blood transfusion. Furthermore, it has been observed that the lower the preoperative serum albumin level is, the higher the risk of perioperative blood transfusion. Trial registration: 28/12/2021, Chinese Clinical Trial Registry, ChiCRT2100054844. [ABSTRACT FROM AUTHOR]

Background: This study aimed to discover diagnostic and prognostic biomarkers for sepsis immunotherapy through analyzing the novel cellular death process, cuproptosis. Methods: We used transcriptome data from sepsis patients to identify key cuproptosis-related genes (CuRGs). We created a predictive model and used the CIBERSORT algorithm to observe the link between these genes and the septic immune microenvironment. We segregated sepsis patients into three subgroups, comparing immune function, immune cell infiltration, and differential analysis. Single-cell sequencing and real-time quantitative PCR were used to view the regulatory effect of CuRGs on the immune microenvironment and compare the mRNA levels of these genes in sepsis patients and healthy controls. We established a sepsis forecast model adapted to heart rate, body temperature, white blood cell count, and cuproptosis key genes. This was followed by a drug sensitivity analysis of cuproptosis key genes. Results: Our results filtered three key genes (LIAS, PDHB, PDHA1) that impact sepsis prognosis. We noticed that the high-risk group had poorer immune cell function and lesser immune cell infiltration. We also discovered a significant connection between CuRGs and immune cell infiltration in sepsis. Through consensus clustering, sepsis patients were classified into three subgroups. The best immune functionality and prognosis was observed in subgroup B. Single-cell sequencing exposed that the key genes manage the immune microenvironment by affecting T cell activation. The qPCR results highlighted substantial mRNA level reduction of the three key genes in the SP compared to the HC. The prediction model, which combines CuRGs and traditional diagnostic indicators, performed better in accuracy than the other markers. The drug sensitivity analysis listed bisphenol A as highly sensitive to all the key genes. Conclusion: Our study suggests these CuRGs may offer substantial potential for sepsis prognosis prediction and personalized immunotherapy. [ABSTRACT FROM AUTHOR]