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The first successful case of surgical treatment of a superior mesenteric artery aneurysm is described at the Honorio Delgado Regional Hospital III in Arequipa. The case report involved a patient who had experienced 18 months of epigastric pain and was diagnosed with computed tomography and computed tomography. The patient underwent laparotomy for aneurysm resection and a bypass of the superior mesenteric artery was performed using a polytetrafluoroethylene graft. The patient had a rapid and uncomplicated recovery and has since progressed well. This type of aneurysm is rare, with no epidemiological data in Peru. Surgical treatment requires careful planning due to the high risk of rupture and mortality. Technological support is essential in the surgical approach of these patients, which is often a challenge in non-specialized public hospitals., Se describe el primer caso de tratamiento quirúrgico exitoso de un aneurisma de arteria mesentérica superior en el Hospital Regional III Honorio Delgado de Arequipa. El paciente presentó dolor epigástrico de 18 meses de evolución que fue diagnosticado mediante tomografía y angiotomografía computarizada. Fue sometido a laparotomía para resección de aneurisma y se realizó un bypass de arteria mesentérica superior utilizando un injerto de politetrafluoroetileno. El paciente tuvo una recuperación rápida y sin complicaciones y ha evolucionado adecuadamente hasta la fecha. Este tipo de aneurisma es raro, no contamos con incidencias reportadas en Perú. El tratamiento quirúrgico requiere una planificación cuidadosa debido al alto riesgo de ruptura y mortalidad. El apoyo tecnológico es primordial en la aproximación quirúrgica de este tipo de pacientes, lo cual muchas veces es un reto en hospitales públicos no especializados.

We propose a multiple imputation method for estimating the incidence rate with interval censored data and time-dependent (and/or time-independent) covariates. The method has two stages. First, we use a semi-parametric G-transformation model to estimate the cumulative baseline hazard function and the effects of the time-dependent (and/or time-independent covariates) on the interval censored infection times. Second, we derive the participant's unique cumulative distribution function and impute infection times conditional on the covariate values. To assess performance, we simulated infection times from a Cox proportional hazards model and induced interval censoring by varying the testing rate, e.g., participants test 100%, 75%, 50% of the time, etc. We then compared the incidence rate estimates from our G-imputation approach with single random-point and mid-point imputation. By comparison, our G-imputation approach gave more accurate incidence rate estimates and appropriate standard errors for models with time-independent covariates only, time-dependent covariates only, and a mixture of time-dependent and time-independent covariates across various testing rates. We demonstrate, for the first time, a multiple imputation approach for incidence rate estimation with interval censored data and time-dependent (and/or time-independent) covariates.

Introduction High levels of HIV seroconcordance at the population level reduce the potential for effective HIV transmission. However, the level of HIV seroconcordance is largely unknown among heterosexual couples in sub‐Saharan Africa. We aimed to quantify the population level HIV seroconcordance in stable heterosexual couples in rural South Africa. Methods We followed adults (≥15 years old) using a population‐based, longitudinal and open surveillance system in KwaZulu‐Natal, South Africa, from 2003 to 2016. Sexual partnerships and HIV status were confirmed via household surveys and annual HIV surveillance. We calculated the proportions of HIV seroconcordance and serodiscordance in stable sexual partnerships and compared them to the expected proportions under the assumption of random mixing using individual‐based microsimulation models. Among unpartnered individuals, we estimated the incidence rates and hazard of sexual partnership formation with HIV‐positive or HIV‐negative partners by participants' own time‐varying HIV status. Competing risks survival regressions were fitted adjusting for sociodemographic and clinical factors. We also calculated Newman's assortativity coefficients. Results A total of 18,341 HIV‐negative and 11,361 HIV‐positive individuals contributed 154,469 person‐years (PY) of follow‐up. Overall, 28% of the participants were in stable sexual partnerships. Of the 677 newly formed stable sexual partnerships, 7.7% (95% CI: 5.8 to 10.0) were HIV‐positive seroconcordant (i.e. both individuals in the partnership were HIV‐positive), which was three times higher than the expected proportion (2.3%) in microsimulation models based on random mixing. The incidence rates of sexual partnership formation were 0.54/1000PY with HIV‐positive, 1.12/1000PY with HIV‐negative and 2.65/1000PY with unknown serostatus partners. HIV‐positive individuals had 2.39 (95% CI: 1.43 to 3.99) times higher hazard of forming a sexual partnership with an HIV‐positive partner than d