Preoperative nutritional evaluation, surgical site infection, and prognosis in patients with oral cancer

Effect of Preoperative Serum Lactate Dehydrogenase-to-Albumin Ratio on the Survival of Oral Cancer: A Retrospective Study

Background

Several studies have investigated the relationship between serum lactate dehydrogenase-to-albumin ratio (LAR) and the prognosis of cancers. However, no studies have explored the association between serum LAR and the survival of oral cancer (OC). This study was aimed to determine the association of serum LAR with the overall survival (OS) of OC.

Methods

One hundred and ninety patients with OC were included in this study between January 2018 and December 2019. Log rank test and Kaplan-Meier method were used to compare the survival rate of OC between the low LAR group and the high LAR group. The association between serum LAR and the survival of OC patients was determined via univariate and multivariate Cox regression analyses.

Results

Kaplan-Meier analysis and Log rank test indicated that the OS rate in low LAR group was significantly higher than that in high LAR group (P < 0.05). Univariate cox analysis showed that TNM III-IV stage, serum LDH > 162 U/L, and serum LAR > 3.79 were significantly associated with the OS of OC patients. Multivariate Cox analysis suggested that the TNM III-IV stage (HR, 2.317; 95% CI, 1.423-3.774, P = 0.001) and serum LAR > 3.79 (HR, 5.138; 95% CI, 2.245-11.756, P = 0.000) were independently related with poor OS of OC patients.

Conclusion

High serum LAR (>3.79) is an independent predictor of adverse prognosis in OC patients. LAR could be used as a promising marker for predicting the OS of OC patients.

Automated evaluation of masseter muscle volume: deep learning prognostic approach in oral cancer

BACKGROUND

Sarcopenia has been identified as a potential negative prognostic factor in cancer patients. In this study, our objective was to investigate the relationship between the assessment method for sarcopenia using the masseter muscle volume measured on computed tomography (CT) images and the life expectancy of patients with oral cancer. We also developed a learning model using deep learning to automatically extract the masseter muscle volume and investigated its association with the life expectancy of oral cancer patients.

METHODS

To develop the learning model for masseter muscle volume, we used manually extracted data from CT images of 277 patients. We established the association between manually extracted masseter muscle volume and the life expectancy of oral cancer patients. Additionally, we compared the correlation between the groups of manual and automatic extraction in the masseter muscle volume learning model.

RESULTS

Our findings revealed a significant association between manually extracted masseter muscle volume on CT images and the life expectancy of patients with oral cancer. Notably, the manual and automatic extraction groups in the masseter muscle volume learning model showed a high correlation. Furthermore, the masseter muscle volume automatically extracted using the developed learning model exhibited a strong association with life expectancy.

CONCLUSIONS

The sarcopenia assessment method is useful for predicting the life expectancy of patients with oral cancer. In the future, it is crucial to validate and analyze various factors within the oral surgery field, extending beyond cancer patients.

Incidence and risk factors of surgical site infection in patients with head and neck cancer: A meta-analysis

We systematically review the incidence and risk factors of surgical site infection (SSI) in patients with head and neck cancer. PubMed, Embase, Cochrane Library, and Web of Science databases were searched to obtain studies on the risk factors for SSI in patients with HNC. The retrieval time was from the establishment of the database to February 2023. Two reviewers independently screened the literature, extracted data, and assessed the risk of bias in included studies. Meta-analysis was performed by using Stata 15.1 software. A total of 32 articles including 128 919 patients with head and neck cancer and 2949 cases of SSI were included in this meta-analysis. The incidence rate of SSI in head and neck cancer ranges from 19% to 29%, and the overall infection rate was 24%. Meta-analysis indicated that BMI < 20 kg/m2 (OR, 2.64; 95% CI, 1.74-4.00; I2 , 0%), diabetes (OR, 3.00; 95% CI, 2.12-4.16; I2 , 60.6%), ASA score (OR, 1.51; 95% CI, 1.29-1.77; I2 , 0%), radiotherapy (OR, 2.27; 95% CI, 1.87-2.77; I2 , 44.8%), chemotherapy (OR, 2.36; 95% CI, 1.64-3.40; I2 , 0%), clindamycin antibiotic (OR, 2.99; 95% CI, 1.82-2.93; I2 , 36.5%), deficit repair (OR, 3.76; 95% CI, 1.22-11.59; I2 , 91.4%), neck dissection (OR, 2.13; 95% CI, 1.63-2.79; I2 , 16.4%), blood transfusion (OR, 2.29; 95% CI, 1.52-3.45; I2 , 66.2%), mandibular (OR, 3.17; 95% CI, 1.85-5.42; I2 , 73%), tracheostomy (OR, 2.51; 95% CI, 1.74-3.62; I2 , 86.4%), operation time (OR, 1.42; 95% CI, 1.16-1.74; I2 , 86.4%), ALB (OR, 2.48; 95% CI, 1.95-3.15; I2 , 5.3%) were risk factors of surgical site infection in patients with head and neck cancer (p < 0.05). The results of the sensitivity analysis showed good agreement in all risk factors and the results had stability. The present meta-analysis suggests that BMI < 20 kg/m2 , diabetes, ASA score, radiotherapy, chemotherapy, clindamycin antibiotic, deficit repair, neck dissection, blood transfusion, mandibular, tracheostomy, operation time, and ALB were significant risk factors for SSI.

Metastatic colon carcinoma in the maxilla: Highlighting the importance of perioperative oral management: A case report

Metastatic colorectal carcinoma involving the maxilla is a rare phenomenon, and existing literature regarding the significance of perioperative oral function management (POM) in managing such cases is limited. In the present case report the clinical details of a 58-year-old male referred to the oral and maxillofacial department for POM. The patient had previously undergone segmental bowel resection due to stage IIIb colon cancer. A comprehensive approach encompassing a thorough medical history, meticulous physical examination, radiographic imaging and immunohistopathology was employed, and a definitive diagnosis of metastatic adenocarcinoma in the left maxillary gingiva originating from a colorectal carcinoma was reached. Additionally, concomitant metastases were detected in the lungs and liver. Despite the daunting prognosis associated with the metastases in the oral cavity, the patient's quality of life exhibited discernible improvements owing to the implementation of palliative care interventions. Notably, this interdisciplinary approach facilitated the patient's survival for over a year. The present case report strongly advocates for the prompt integration of POM in the surgical management of cancer patients with oral manifestations, which can optimize both the quality of life and overall survival.

Perioperative nutritional risk and its influencing factors in patients with oral cancer: a longitudinal study

Introduction

We aimed to investigate the nutritional risk status and dynamic changes in patients with perioperative oral cancer at different stages and analyze the factors influencing nutritional risk and the correlation among body mass index, nutrition-related symptoms, and nutritional risk.

Methods

In total, 198 patients with oral cancer who were hospitalized in the Head & Neck Surgery Departments of a tertiary cancer hospital in Hunan Province, China, from May 2020 to January 2021, were selected as participants. The Nutritional Risk Screening 2002 scale and Head and Neck Patient Symptom Checklist were used to assess patients on admission day, 7 days post-surgery, and 1 month post-discharge. Multivariate analysis of variance, paired t-test, and generalized estimating equation were used to analyze the trajectory and influencing factors of nutritional risk in patients with perioperative oral cancer. Spearman's correlation analysis was used to explore the correlation among body mass index, symptoms, and nutritional risk.

Results

The nutritional risk scores of patients with oral cancer at the three time points were 2.30 ± 0.84, 3.21 ± 0.94, and 2.11 ± 0.84, respectively, and the differences were significant (p < 0.05). The incidences of nutritional risk were 30.3, 52.5, and 37.9%, respectively. The factors influencing nutritional risk included education level, smoking status, clinical stage, flap repair, and tracheotomy (β = -0.326, 0.386, 0.387, 0.336, and 0.240, respectively, p < 0.05). Nutritional risk was negatively correlated with body mass index (r_s = -0.455, p < 0.01) and positively correlated with pain, loss of appetite, sore mouth, bothersome smells, swallowing difficulty, taste changes, depression, chewing difficulty, thick saliva, and anxiety (r_s = 0.252, 0.179, 0.269, 0.155, 0.252, 0.212, 0.244, 0.384, 0.260, and 0.157, respectively, p < 0.05).

Conclusion

The incidence of nutritional risk in patients with perioperative oral cancer was high, and the trajectory of nutritional risk changed over time. Strengthening the nutritional monitoring and management of postoperative patients or those with low education level, advanced-stage cancer, flap repair, tracheotomy, and low body mass index; strengthening tobacco control management; and controlling nutrition-related discomfort symptoms in perioperative oral cancer patients are necessary.