Development and validation of a nomogram to predict intraoperative blood transfusion for gastric cancer surgery

Mapping the landscape of machine learning models used for predicting transfusions in surgical procedures: a scoping review

Massive transfusion of blood products poses challenges in determining the need for transfusion and the appropriate volume of blood products. This review explores the use of machine learning (ML) models to predict transfusion risk during surgical procedure, focusing on the methodology, variables, and software employed to predict transfusion. This scoping review investigates the development and current state of machine learning models for predicting transfusion risk during surgical procedure, aiming to inform physicians about the field's progress and potential directions.The review was conducted using the databases Cochrane, Embase, and PubMed. The search included keywords related to blood transfusion, statistical models, and surgical procedures. Peer-reviewed articles were included, while literature reviews, case reports, and non-human studies were excluded.A total of 40 studies met the inclusion criteria. The most frequently studied biological variables included haemoglobin, platelet count, international normalized ratio (INR), activated partial thromboplastin time (aPTT), fibrinogen, creatinine, white blood cells, and albumin. Clinical variables of importance included age, sex, surgery type, blood pressure, weight, surgery duration, american society of anesthesiology (ASA) status, blood loss, and body mass index (BMI). The software employed varied, with Python, R, SPSS, and SAS being the most commonly used. Logistic regression was the predominant methodology used in 20 studies.Our scoping review highlights the need for improved reporting and transparency in methodology, variables, and software used. Future research should focus on providing detailed descriptions and open access to codes of respective models, promoting reproducibility, and enhancing the clinical relevance of transfusion risk prediction models.

Association of miR-338-3p with survival outcomes in gastric cancer patients who received peri-operative blood transfusion

BACKGROUND

Perioperative blood transfusion (BT) is frequent in the treatment of gastric cancer (GC), but its effects on the prognosis of GC remains controversial. In this study, we aimed to further confirm the relationship of perioperative BT with GC overall survival and to evaluate the predictive value of microRNA-338-3p (miR-338-3p) for the prognosis of GC patients who received perioperative BT.

METHODS

Clinical data and serum samples were collected and analyzed from 246 patients with GC. Five-year follow-up survival information was assessed by Kaplan-Meier survival analysis. miR-338-3p relative expression was assessed by RT-qPCR, and its relationship with the prognosis of GC patients, who received perioperative BT, was evaluated using Kaplan-Meier curves and Cox regression analysis.

RESULTS

GC patients received perioperative BT had poor 5 year survival than those without BT. In patients received BT, miR-338-3p expression was higher in survival cases than died population and high miR-338-3p was independently associated with better overall survival prognosis.

CONCLUSION

Perioperative BT is related with poor prognosis in GC patients and miR-338-3p may be a prognostic biomarker for GC patients received perioperative BT. BT in perioperative GC patients should be cautious, especially for those with low levels of miR-338-3p.

Perioperative Blood Transfusions and Cancer Progression: A Narrative Review

PURPOSE OF REVIEW

To examine the most recent evidence about known controversies on the effect of perioperative transfusion on cancer progression.

RECENT FINDINGS

Laboratory evidence suggests that transfusion-related immunomodulation can be modified by blood management and storage practices, but it is likely of less intensity than the effect of the surgical stress response. Clinical evidence has questioned the independent effect of blood transfusion on cancer progression for some cancers but supported it for others. Despite major changes in surgery and anesthesia, cancer surgery remains a major player in perioperative blood product utilization. Prospective data is still required to strengthen or refute existing associations. Transfusion-related immunomodulation in cancer surgery is well-documented, but the extent to which it affects cancer progression is unclear. Associations between transfusion and cancer progression are disease-specific. Increasing evidence shows autologous blood transfusion may be safe in cancer surgery.

Development and external validation of a nomogram predicting overall survival for Gastric adenocarcinoma patients with radical gastrectomy

PURPOSE

The aim of this study was to develop and externally validate a nomogram to accurately predict the overall survival (OS) of patients with gastric adenocarcinoma who underwent radical gastrectomy.

MATERIALS AND METHODS

A total of 3492 patients with gastric adenocarcinoma who underwent radical gastrectomy from 2012 to 2017 were included as the training cohort. Survival analysis was performed via Kaplan Meier method and log-rank test. Independent postoperative prognostic factors in patients with gastric adenocarcinoma were analyzed using univariate and multifactorial COX analysis methods. The prognosis nomogram was established in the training cohort and verified externally in the Surveillance, Epidemiology and End Results (SEER) database.

RESULTS

According to the univariate and multifactorial COX analyses, metastatic lymph node ratio (MLNR) and five other independent prognostic factors (age at surgery, type of gastrectomy, tumor size, T stage, and pathological grade) were included in the prognostic nomogram. The nomogram had better prognostic predictive ability than the American Joint Committee on Cancer (AJCC) TNM staging in both the training (C-index: 0.736 VS. 0.668) and external validation cohort (C-index: 0.712 VS. 0.627). The calibration plots showed that the predicted survival rate was in good agreement with the actual survival rate. And the decision curve analysis (DCA) curves revealed that nomogram showed stronger ability in predicting 1-year, 3-year, and 5-year OS.

CONCLUSION

This study estimated the excellent prognostic predictive power and clinical application potential of the MLNR-based nomogram, which may be used to facilitate postoperative clinical treatment decisions and potentially improve patient survival outcomes.

Systematic review highlights high risk of bias of clinical prediction models for blood transfusion in patients undergoing elective surgery

BACKGROUND

Blood transfusion can be a lifesaving intervention after perioperative blood loss. Many prediction models have been developed to identify patients most likely to require blood transfusion during elective surgery, but it is unclear whether any are suitable for clinical practice.

STUDY DESIGN AND SETTING

We conducted a systematic review, searching MEDLINE, Embase, PubMed, The Cochrane Library, Transfusion Evidence Library, Scopus, and Web of Science databases for studies reporting the development or validation of a blood transfusion prediction model in elective surgery patients between January 1, 2000 and June 30, 2021. We extracted study characteristics, discrimination performance (c-statistics) of final models, and data, which we used to perform risk of bias assessment using the Prediction model risk of bias assessment tool (PROBAST).

RESULTS

We reviewed 66 studies (72 developed and 48 externally validated models). Pooled c-statistics of externally validated models ranged from 0.67 to 0.78. Most developed and validated models were at high risk of bias due to handling of predictors, validation methods, and too small sample sizes.

CONCLUSION

Most blood transfusion prediction models are at high risk of bias and suffer from poor reporting and methodological quality, which must be addressed before they can be safely used in clinical practice.

Risk factors for blood transfusion and its prognostic implications in curative gastrectomy for gastric cancer

BACKGROUND

Gastric cancer (GC) is still a prevalent neoplasm around the world and its main treatment modality is surgical resection. The need for perioperative blood transfusions is frequent, and there is a long-lasting debate regarding its impact on survival.

AIM

To evaluate the factors related to the risk of receiving red blood cell (RBC) transfusion and its influence on surgical and survival outcomes of patients with GC.

METHODS

Patients who underwent curative resection for primary gastric adenocarcinoma at our Institute between 2009 and 2021 were retrospectively evaluated. Clinicopathological and surgical characteristics data were collected. The patients were divided into transfusion and non-transfusion groups for analysis.

RESULTS

A total of 718 patients were included, and 189 (26.3%) patients received perioperative RBC transfusion (23 intraoperatively, 133 postoperatively, and 33 in both periods). Patients in the RBC transfusions group were older (P < 0.001), and had more comorbidities (P = 0.014), American Society of Anesthesiologists classification III/IV (P < 0.001), and lower preoperative hemoglobin (P < 0.001) and albumin levels (P < 0.001). Larger tumors (P < 0.001) and advanced tumor node metastasis stage (P < 0.001) were also associated with the RBC transfusion group. The rates of postoperative complications (POC) and 30-d and 90-d mortality were significantly higher in the RBC transfusion group than in the non-transfusion group. Lower hemoglobin and albumin levels, total gastrectomy, open surgery, and the occurrence of POC were factors associated with the RBC transfusion. Survival analysis demonstrated that the RBC transfusions group had worse disease-free survival (DFS) and overall survival (OS) compared with patients who did not receive transfusion (P < 0.001 for both). In multivariate analysis, RBC transfusion, major POC, pT3/T4 category, pN+, D1 lymphadenectomy, and total gastrectomy were independent risk factors related to worse DFS and OS.

CONCLUSION

Perioperative RBC transfusion is associated with worse clinical conditions and more advanced tumors. Further, it is an independent factor related to worse survival in the curative intent gastrectomy setting.

Development and internal validation of a nomogram to predict massive blood transfusions in neurosurgical operations

Objectives

A massive blood transfusion (MBT) is an unexpected event that may impact mortality. Neurosurgical operations are a major operation involving the vital structures and risk to bleeding. The aims of the present research were (1) to develop a nomogram to predict MBT and (2) to estimate the association between MBT and mortality in neurosurgical operations.

Material and Method

We conducted a retrospective cohort study including 3660 patients who had undergone neurosurgical operations. Univariate and multivariate logistic regression analyses were used to test the association between clinical factors, pre-operative hematological laboratories, and MBT. A nomogram was developed based on the independent predictors.

Results

The predictive model comprised five predictors as follows: Age group, traumatic brain injury, craniectomy operation, pre-operative hematocrit, and pre-operative international normalized ratio and the good calibration were observed in the predictive model. The concordance statistic index was 0.703. Therefore, the optimism-corrected c-index values of cross-validation and bootstrapping were 0.703 and 0.703, respectively.

Conclusion

MBT is an unexpectedly fatal event that should be considered for appropriate preparation blood components. Further, this nomogram can be implemented for allocation in limited-resource situations in the future.

Blood transfusion risk prediction in spinal tuberculosis surgery: development and assessment of a novel predictive nomogram

Objective

The present study attempted to predict blood transfusion risk in spinal tuberculosis surgery by using a novel predictive nomogram.

Methods

The study was conducted on the clinical data of 495 patients (167 patients in the transfusion group and 328 patients in the non-transfusion group) who underwent spinal tuberculosis surgery in our hospital from June 2012 to June 2021. The least absolute shrinkage and selection operator (LASSO) and multivariable logistic regression analyses were used to screen out statistically significant parameters, which were included to establish a novel predictive nomogram model. The receiver operating characteristic (ROC) curve, calibration curves, C-index, and decision curve analysis (DCA) were used to evaluate the model. Finally, the nomogram was further assessed through internal validation.

Results

The C-index of the nomogram was 0.787 (95% confidence interval: 74.6%–.82.8%). The C-value calculated by internal validation was 0.763. The area under the curve (AUC) of the predictive nomogram was 0.785, and the DCA was 0.01–0.79.

Conclusion

A nomogram with high accuracy, clinical validity, and reliability was established to predict blood transfusion risk in spinal tuberculosis surgery. Surgeons must prepare preoperative surgical strategies and ensure adequate availability of blood before surgery.

Effect of Combining Early Chemotherapy with Zhipu Liujunzi Decoction under the Concept of Strengthening and Consolidating Body Resistance for Gastric Cancer Patients and Nursing Strategy

Objective

To explore the clinical efficacy of combining early chemotherapy with Zhipu Liujunzi decoction under the concept of strengthening and consolidating body resistance for gastric cancer patients and nursing strategy.

Methods

The clinical data of 100 patients undergoing radical gastrectomy in our hospital from July 2019 to July 2020 were selected for the retrospective analysis, and the patients were divided into the control group and experimental group according to different treatment methods, with 50 cases in each group. Early chemotherapy after surgery was given to patients in the control group, and on the basis of the aforesaid treatment and under the concept of strengthening and consolidating body resistance, patients in the experimental group took Zhipu Liujunzi decoction and received the nursing strategy, so as to compare their effective rate, adverse reaction rate (ARR), immune function indicators, KPS scores, and nursing satisfaction scores.

Results

After treatment, the experimental group obtained significantly higher objective remission rate (ORR) and disease control rate (DCR) (P < 0.05), lower carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA19-9) levels (P < 0.001), higher immune parameters levels (P < 0.001), higher KPS scores and lower TCM symptom scores (P < 0.001), lower PSQI scores, SAS scores, and SDS scores (P < 0.001) and higher nursing satisfaction scores (P < 0.001), and lower total accidence rate of toxic side effects (P < 0.05) than the control group.

Conclusion

Under the concept of strengthening and consolidating body resistance, combining early chemotherapy with Zhipu Liujunzi decoction is a reliable method for improving the immune function and quality of life for gastric cancer patients with higher safety. Such a strategy greatly reduces the tumor marker levels in patients. Further research will be conducive to establishing a better solution for gastric cancer patients.