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Avaliação da incidência de doenças peri-implantares em pacientes reabilitados com implantes dentários na Clínica Dentária da FMDUCP
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Introdução: A reabilitação com implantes dentários constitui uma solução previsível e amplamente utilizada na substituição de dentes perdidos. Contudo, as doenças peri-implantares, em particular a mucosite peri-implantar e a peri-implantite, continuam a representar um desafio clínico relevante, dada a sua elevada frequência e impacto no prognóstico a longo prazo. Neste contexto, identificação precoce de fatores de risco e o recurso a ferramentas preditivas podem contribuir para uma abordagem mais preventiva e personalizada. Objetivo: Avaliar a associação entre os vetores da Implant Success Prediction Tool ( ISPT) e a condição peri-implantar, bem como a capacidade discriminativa da ferramenta na identificação de implantes em saúde peri-implantar, mucosite peri-implantar e peri-implantite. Materiais e métodos: Foi realizado um estudo observacional transversal na Clínica Dentária da FMDUCP. A amostra inclui 30 pacientes, correspondendo a 62 implantes dentários. A avaliação foi efetuada por dois investigadores independentes e de forma cega: um realizou o diagnóstico clínico dos implantes segundo os critérios do Workshop de 2017, e o outro aplicou a ISPT sem conhecimento prévio desse diagnóstico. Foram também recolhidos dados clínicos, periodontais e peri-implantares. A análise estatística incluiu estatística descritiva e testes inferenciais. Resultados: A amostra apresentou idade média de aproximadamente 55 anos, tempo médio de função de 7 anos e com distribuição semelhante entre géneros. O valor médio de BOP foi de 24%, observando-se valores inferiores a 15% em implantes saudáveis, e superiores a 45% em casos de peri-implantite. Todos os 8 implantes classificados como de baixo risco pela ISPT apresentaram saúde peri-implantar, enquanto, no grupo de alto risco, composto por 30 implantes, 23 <br/>apresentaram mucosite peri-implantar e 5 peri-implantite. Verificou-se ainda associação estatisticamente significativa entre o nível de risco e a condição peri-implantar (p<0,05), tendo a ISPT demonstrado elevada capacidade discriminativa, com uma AUC de 0,877. Conclusão: Os resultados sugerem que a ISPT pode constituir uma ferramenta promissora na avaliação do risco peri-implantar e na identificação de implantes com maior probabilidade de desenvolver doença. Parâmetros como BOP, profundidade de sondagem, higiene oral, perda óssea e idade mostraram relevância na estratificação do risco. Contudo, a confirmação destes achados requer estudos adicionais, com amostras maiores e desenho metodológico mais robusto.
Introduction: Dental implant rehabilitation is a predictable and widely used solution for the replacement of missing teeth. However, peri-implant diseases, particularly peri-implant mucositis and peri-implantitis, remain a relevant clinical challenge due to their high prevalence and impact on long-term prognosis. In this context, the early identification of risk factors and the use of predictive tools may contribute to a more preventive and personalized approach. Objective: To evaluate the association between the vectors of the Implant Success Prediction Tool (ISPT) and peri-implant condition, as well as the discriminative ability of the tool in identifying implants with peri-implant health, peri-implant mucositis, and peri-implantitis. Materials and Methods: A cross-sectional observational study was conducted at the Dental Clinic of FMDUCP. The sample included 30 patients, corresponding to 62 dental implants. The evaluation was performed independently and blindly by two investigators: one carried out the clinical diagnosis of implants according to the 2017 Workshop criteria, while the other applied the ISPT without prior knowledge of this diagnosis. Clinical, periodontal, and peri-implant data were also collected. Statistical analysis included descriptive statistics and inferential tests. Results: The sample had a mean age of approximately 55 years and a mean functional time of 7 years, with a similar distribution between genders. The mean <br/>bleeding on probing (BOP) was 24%, with values below 15% observed in healthy implants and above 45% in cases of peri-implantitis. All 8 implants classified as low risk by the ISPT presented peri-implant health, whereas in the high-risk group (n=30), 23 implants showed peri-implant mucositis and 5 peri-implantitis. Implants with disease showed a higher frequency of probing depth ≥5 mm in 10 or more sites (p<0.05). A statistically significant association was found between risk level and peri-implant condition (p<0.05). The ISPT demonstrated high discriminative ability, with an AUC of 0.877. Conclusion: The results suggest that the ISPT may be a promising tool for assessing peri-implant risk and identifying implants with a higher likelihood of developing disease. Parameters such as BOP, probing depth, oral hygiene, bone loss, and age showed relevance in risk stratification. However, confirmation of these findings requires further studies with larger samples and more robust <br/>methodological designs.
Introduction: Dental implant rehabilitation is a predictable and widely used solution for the replacement of missing teeth. However, peri-implant diseases, particularly peri-implant mucositis and peri-implantitis, remain a relevant clinical challenge due to their high prevalence and impact on long-term prognosis. In this context, the early identification of risk factors and the use of predictive tools may contribute to a more preventive and personalized approach. Objective: To evaluate the association between the vectors of the Implant Success Prediction Tool (ISPT) and peri-implant condition, as well as the discriminative ability of the tool in identifying implants with peri-implant health, peri-implant mucositis, and peri-implantitis. Materials and Methods: A cross-sectional observational study was conducted at the Dental Clinic of FMDUCP. The sample included 30 patients, corresponding to 62 dental implants. The evaluation was performed independently and blindly by two investigators: one carried out the clinical diagnosis of implants according to the 2017 Workshop criteria, while the other applied the ISPT without prior knowledge of this diagnosis. Clinical, periodontal, and peri-implant data were also collected. Statistical analysis included descriptive statistics and inferential tests. Results: The sample had a mean age of approximately 55 years and a mean functional time of 7 years, with a similar distribution between genders. The mean <br/>bleeding on probing (BOP) was 24%, with values below 15% observed in healthy implants and above 45% in cases of peri-implantitis. All 8 implants classified as low risk by the ISPT presented peri-implant health, whereas in the high-risk group (n=30), 23 implants showed peri-implant mucositis and 5 peri-implantitis. Implants with disease showed a higher frequency of probing depth ≥5 mm in 10 or more sites (p<0.05). A statistically significant association was found between risk level and peri-implant condition (p<0.05). The ISPT demonstrated high discriminative ability, with an AUC of 0.877. Conclusion: The results suggest that the ISPT may be a promising tool for assessing peri-implant risk and identifying implants with a higher likelihood of developing disease. Parameters such as BOP, probing depth, oral hygiene, bone loss, and age showed relevance in risk stratification. However, confirmation of these findings requires further studies with larger samples and more robust <br/>methodological designs.
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Peri-implantite Mucosite peri-implantar Avaliação de risco Implant Success Prediction Tool Sangramento à sondagem Peri-implantitis Peri-implant mucositis Risk assessment Implant Success Prediction Tool Bleeding on probing
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