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1.
Article in English | AIM (Africa) | ID: biblio-1267488

ABSTRACT

Background: Conjoined twinning is a rare congenital anomaly. We present here; our experience in the management of two sets of conjoined twins at a Teaching Hospital in north central Nigeria. Method: Data of conjoined twins managed at the Jos University Teaching Hospital in 1987 and 2004 were retrospectively collated and analyzed. Result: Two sets of pyopagus tetrapus conjoined twins were managed within the period; one was a set of triplets. The conjoined pairs in both sets of twins were females. None of the twins was diagnosed prenatally. Both sets of conjoined twins were delivered spontaneously by vaginal route. Emergency surgical separation was undertaken in both sets be- cause of deteriorating anencephaly in one twin in the first set and anorectal malformation and intestinal obstruction in one twin in the second set. Both sets of twins died after separation. Conclusion: Our experience showed that separation of conjoined twins may be associated with high mortality. Sepsis and electrolyte imbalance appear to be the major causes of morbidity and mortality; particularly when the resultant skin defects are large


Subject(s)
Case Reports , Risk Factors/mortality , Twins
3.
Bol. Acad. Nac. Med. B.Aires ; 69(1): 97-103, ene. 1991. ilus
Article in Spanish | LILACS | ID: lil-125119

ABSTRACT

La supervivencia de pacientes con enfermedades de larga duración ha sido analizada tradicionalmente mediante el método de la curva de sobrevida "actuarial" que permite llegar hasta la comparación visual de varias curvas relacioandas con dos factores . En las últimas décadas nuevos métodos permiten profundizar el estudio de sobrevida, la comparación de curvas y la cuantificación estadística de diferencias, y además la magnitud de la influencia de factores. Se pasa revista a esos nuevos métodos y a sus posibles aplicaciones


Subject(s)
Survival Analysis/methods , Multivariate Analysis/methods , Chronic Disease/epidemiology , Risk Factors/mortality , Statistics
4.
Bol. Acad. Nac. Med. B.Aires ; 69(1): 97-103, ene. 1991. ilus
Article in Spanish | BINACIS | ID: bin-25465

ABSTRACT

La supervivencia de pacientes con enfermedades de larga duración ha sido analizada tradicionalmente mediante el método de la curva de sobrevida "actuarial" que permite llegar hasta la comparación visual de varias curvas relacioandas con dos factores . En las últimas décadas nuevos métodos permiten profundizar el estudio de sobrevida, la comparación de curvas y la cuantificación estadística de diferencias, y además la magnitud de la influencia de factores. Se pasa revista a esos nuevos métodos y a sus posibles aplicaciones (AU)


Subject(s)
Multivariate Analysis/methods , Survival Analysis/methods , Chronic Disease/epidemiology , Risk Factors/mortality , Statistics
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