Abstract：
OBJECTIVE: Knowledge about voice prosthesis microbial colonization is vital in laryngectomized patients\' quality of life (QoL). Herein, we aimed to explore the relationship between oral microbial patterns, demographic variables and voice prosthesis performance.
METHODS: Thirty laryngectomy patients were assessed for microbial colonization in their voice prostheses and oral cavities. Factors like age, proton pump inhibitor (PPI) usage, and alcohol consumption were considered.
RESULTS: Participants\' average age was 74.20 ± 7.31 years, with a majority on PPIs. Staphylococcus aureus was the most common bacterium in prostheses (53 %), followed by Pseudomonas aeruginosa (27 %). Candida albicans was the primary fungal colonizer (67 %). A statistically significant moderate correlation was found between fungal species before and after oral rinsing (p = 0.035, Phi=0.588, Cramer\'s V = 0.416). Voice prosthesis and oral cavity microbiota profiles showed significant concordance (kappa=0.315, p < 0.004). Among subgroup analyses, bacterial patterns of colonization did not significantly influence VHI (p = 0.9555), VrQoL (p = 0.6610), or SF-36 (p = 0.509) scores. Conversely, fungal patterns of VP colonization significantly impacted subjective voice scores, with Candida krusei demonstrating better VHI (35.25 ± 3.63 vs. 44.54 ± 6.33; p = 0.008), VrQoL (7.13 ± 1.69 vs. 10.73 ± 2.00; p = 0.001), and SF-36 (69.36 ± 7.09 vs. 76.50 ± 7.73; p = 0.051) scores compared to C. albicans.
CONCLUSIONS: There was a significant correlation between the oral microbiota and voice prosthesis colonization. These insights can inform improved care strategies for voice prostheses, enhancing patient outcomes.
METHODS: Thirty laryngectomy patients were assessed for microbial colonization in their voice prostheses and oral cavities. Factors like age, proton pump inhibitor (PPI) usage, and alcohol consumption were considered.
RESULTS: Participants\' average age was 74.20 ± 7.31 years, with a majority on PPIs. Staphylococcus aureus was the most common bacterium in prostheses (53 %), followed by Pseudomonas aeruginosa (27 %). Candida albicans was the primary fungal colonizer (67 %). A statistically significant moderate correlation was found between fungal species before and after oral rinsing (p = 0.035, Phi=0.588, Cramer\'s V = 0.416). Voice prosthesis and oral cavity microbiota profiles showed significant concordance (kappa=0.315, p < 0.004). Among subgroup analyses, bacterial patterns of colonization did not significantly influence VHI (p = 0.9555), VrQoL (p = 0.6610), or SF-36 (p = 0.509) scores. Conversely, fungal patterns of VP colonization significantly impacted subjective voice scores, with Candida krusei demonstrating better VHI (35.25 ± 3.63 vs. 44.54 ± 6.33; p = 0.008), VrQoL (7.13 ± 1.69 vs. 10.73 ± 2.00; p = 0.001), and SF-36 (69.36 ± 7.09 vs. 76.50 ± 7.73; p = 0.051) scores compared to C. albicans.
CONCLUSIONS: There was a significant correlation between the oral microbiota and voice prosthesis colonization. These insights can inform improved care strategies for voice prostheses, enhancing patient outcomes.
摘要：
目的：了解语音假体微生物定植对喉切除患者的生活质量（QoL）至关重要。在这里，我们旨在探索口腔微生物模式之间的关系，人口统计学变量和语音假体性能。
方法：对30例喉切除术患者的语音假体和口腔微生物定植进行了评估。像年龄这样的因素，质子泵抑制剂（PPI）的使用，并考虑了酒精消费。
结果：参与者的平均年龄为74.20±7.31岁，PPI占多数。金黄色葡萄球菌是假体中最常见的细菌（53％），其次是铜绿假单胞菌(27%)。白色念珠菌是主要的真菌定植者(67%)。在口腔冲洗之前和之后的真菌物种之间发现了统计学上显着的中度相关性（p=0.035，Phi=0.588，Cramer'sV=0.416）。语音假体和口腔微生物群分布显示出显着的一致性（kappa=0.315，p<0.004）。在亚组分析中，定植的细菌模式没有显著影响VHI(p=0.9555)，VrQoL（p=0.6610），或SF-36(p=0.509)得分。相反，VP定植的真菌模式显着影响主观语音得分，克鲁斯念珠菌表现出更好的VHI（35.25±3.63vs.44.54±6.33；p=0.008），VrQoL（7.13±1.69vs.10.73±2.00；p=0.001），和SF-36（69.36±7.09vs.76.50±7.73；p=0.051）与白色念珠菌相比得分。
结论：口腔微生物群与语音假体定植之间存在显著相关性。这些见解可以为语音假体提供改进的护理策略，提高患者的治疗效果。
方法：对30例喉切除术患者的语音假体和口腔微生物定植进行了评估。像年龄这样的因素，质子泵抑制剂（PPI）的使用，并考虑了酒精消费。
结果：参与者的平均年龄为74.20±7.31岁，PPI占多数。金黄色葡萄球菌是假体中最常见的细菌（53％），其次是铜绿假单胞菌(27%)。白色念珠菌是主要的真菌定植者(67%)。在口腔冲洗之前和之后的真菌物种之间发现了统计学上显着的中度相关性（p=0.035，Phi=0.588，Cramer'sV=0.416）。语音假体和口腔微生物群分布显示出显着的一致性（kappa=0.315，p<0.004）。在亚组分析中，定植的细菌模式没有显著影响VHI(p=0.9555)，VrQoL（p=0.6610），或SF-36(p=0.509)得分。相反，VP定植的真菌模式显着影响主观语音得分，克鲁斯念珠菌表现出更好的VHI（35.25±3.63vs.44.54±6.33；p=0.008），VrQoL（7.13±1.69vs.10.73±2.00；p=0.001），和SF-36（69.36±7.09vs.76.50±7.73；p=0.051）与白色念珠菌相比得分。
结论：口腔微生物群与语音假体定植之间存在显著相关性。这些见解可以为语音假体提供改进的护理策略，提高患者的治疗效果。
