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1.
Medicine (Baltimore) ; 102(22): e33922, 2023 Jun 02.
Artigo em Inglês | MEDLINE | ID: mdl-37266634

RESUMO

RATIONALE: Ectopic twin gestation involving a complete hydatidiform mole (CHM) and coexisting embryo is an exceedingly rare occurrence. PATIENT CONCERNS: In this report, we present the case of a 22-year-old female (gravida2, para 1) who was in her 8th week of gestation and presented with abdominal pain. Due to the detection of active bleeding and a ruptured right fallopian tube, the patient underwent a salpingectomy on the right side. DIAGNOSIS: The patient was diagnosed with an ectopic twin gestation involving a CHM and coexisting embryo. INTERVENTIONS: The patient was treated with right-side salpingectomy. OUTCOMES: The operation was successful and her recuperation was satisfactory. LESSONS: In the management of ectopic pregnancy involving CHM, it is crucial to enhance the accuracy of preoperative diagnosis. Additionally, histopathological examination of the salpingectomy specimen and conceptus is definitely essential for accurate diagnosis and appropriate follow-up management of tubal pregnancies.


Assuntos
Mola Hidatiforme , Gravidez Ectópica , Gravidez Tubária , Humanos , Gravidez , Feminino , Adulto Jovem , Adulto , Gravidez de Gêmeos , Gravidez Tubária/diagnóstico , Gravidez Tubária/cirurgia , Gravidez Ectópica/cirurgia , Mola Hidatiforme/diagnóstico , Mola Hidatiforme/cirurgia , Mola Hidatiforme/patologia , Tubas Uterinas/patologia
2.
Appl Bionics Biomech ; 2022: 3077691, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35989713

RESUMO

Objective: The relationship between multiple indicators of women and postoperative recurrence of pelvic organ prolapse was analyzed to establish a model for predicting postoperative recurrence of female pelvic organ prolapse. Methods: Three hundred patients with pelvic organ prolapse who underwent pelvic organ prolapse surgery at our hospital were monitored for 1-2 years to determine their prognosis. Whether there was a postoperative recurrence, they were divided into two groups. We collected the relevant data from the two groups of patients before and after surgery. Through single factor and logistic multivariate analysis, we selected the risk factors that may affect the recurrence of patients to construct a prediction model. We verified the identification ability, proofreading ability, and clinical applicability of the model. Results: Eighty-four patients with pelvic organ prolapse who had postoperative recurrence were assigned to the recurrence group, and 216 patients were included in the nonrecurrence group. Based on the logistic multivariate analysis results, we constructed a nomogram model containing 5 dimensions of age, BMI, degree of prolapse, pubic fissure, and serum calcium to predict postoperative recurrence. The tests revealed that the model had an excellent identification ability (AUC = 0.910), and the expected recurrence rate was significantly in agreement with the actual recurrence rate (U = -0.007, Brief = 0.087). The Hosmer-Lemeshow goodness-of-fit test demonstrated that the model had good calibration (c2 = 29.352, P = 0.522), and the decision curve showed that the threshold probability was in the range of ~12% to 100%, having a high net benefit value. Conclusion: Based on the present study findings, we concluded that the constructed nomogram model has suitable identification, calibration, and clinical applicability.

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