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1.
JTO Clin Res Rep ; 5(1): 100595, 2024 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-38229768

RESUMO

Lynch syndrome is the most common autosomal dominant inherited cancer predisposing syndrome, due to mutations in DNA mismatch repair genes. The key feature of cancers in Lynch syndrome is microsatellite instability and a high risk of developing mainly colorectal and uterine cancers. However, cancers with microsatellite instability outside this spectrum, for example, lung cancer, are extremely rare. Here, we report a case of squamous cell carcinoma of the lung with microsatellite instability in a patient with Lynch syndrome.

2.
Dig Liver Dis ; 55(7): 926-932, 2023 07.
Artigo em Inglês | MEDLINE | ID: mdl-36849286

RESUMO

BACKGROUND AND AIMS: This work aimed to evaluate the impact of sarcopenia and sarcopenic obesity on the occurrence of severe pancreatitis and to study the performance of anthropometric indices to predict severe forms. METHODS: We conducted a single-center retrospective study at Caen University Hospital between 2014 and 2017. Sarcopenia was assessed by measuring the psoas area on an abdominal scan. The psoas area /body mass index ratio reflected sarcopenic obesity. By normalizing the value to the body surface, we obtained an index called sarcopancreatic index, avoiding sex differences in measurements. RESULTS: Among 467 included patients, 65 (13.9%) developed severe pancreatitis. The sarcopancreatic index was independently associated with the occurrence of severe pancreatitis (1.455 95% CI [1.028-2.061]; p = 0.035), as was the Visual Analog Scale, creatinine or albumin. The complication rate was not different depending on sarcopancreatic index value. Based on variables independently associated with the occurrence of severe pancreatitis, we constructed a score called Sarcopenia Severity Index. This score presented an area under the receiver operating characteristics curve of 0.84, comparable to the Ranson score (0.87) and superior to body mass index or the sarcopancreatic index to predict a severe form of acute pancreatitis. CONCLUSIONS: Sarcopenic obesity seems to be associated with severe acute pancreatitis.


Assuntos
Pancreatite , Sarcopenia , Humanos , Masculino , Feminino , Pancreatite/complicações , Sarcopenia/complicações , Sarcopenia/diagnóstico , Estudos Retrospectivos , Doença Aguda , Obesidade/complicações , Prognóstico
3.
Pancreas ; 51(2): 128-134, 2022 02 01.
Artigo em Inglês | MEDLINE | ID: mdl-35404887

RESUMO

OBJECTIVES: The identification of patients at risk of developing a severe form of acute pancreatitis is a major issue. The goal of this study was to identify parameters at admission associated with severe pancreatitis to develop a predictive severity score. METHODS: We conducted a retrospective study at Caen University Hospital between January 2014 and December 2017, including 504 patients hospitalized for acute pancreatitis, of whom 74 had a severe form. We developed a predictive score named Admission Severe Acute Pancreatitis (ASAP) score based on parameters associated with a severe form in multivariate analysis. We validated our score in an independent validation cohort of 80 patients. RESULTS: Hypothermia, low oxygen saturation or albumin levels, and high creatinine levels were significantly associated with severe pancreatitis. The ASAP score showed notable predictive accuracy (area under receiver operating characteristic, 0.82), which was significantly higher than Sequential Organ Failure Assessment, persistent Systemic Inflammatory Response Syndrome, and Balthazar. Using the -2.1742 threshold, the ASAP score had a sensitivity and specificity of 74% and a negative predictive value of 95%. These predictive performances for ASAP score were confirmed in the validation cohort. CONCLUSIONS: The ASAP score demonstrates remarkable predictive accuracy in distinguishing severe forms of acute pancreatitis.


Assuntos
Pancreatite , Doença Aguda , Humanos , Pancreatite/complicações , Pancreatite/diagnóstico , Valor Preditivo dos Testes , Prognóstico , Curva ROC , Estudos Retrospectivos , Índice de Gravidade de Doença
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