The Experts below are selected from a list of 27 Experts worldwide ranked by ideXlab platform

Jonathan Blum - One of the best experts on this subject based on the ideXlab platform.

  • Congenital malignant extrarenal rhabdoid tumor: prenatal ultrasound findings.
    Obstetrics and gynecology, 2002
    Co-Authors: Jeanette Leader, S J Carlan, Jonathan Blum
    Abstract:

    Congenital Cancer is rare, and metastatic Cancer of the infant at birth is even more unusual. Pregnancy management may be altered if fetal tumors are detected by prenatal ultrasound. We present a 29-week gestation with polyhydramnios and a fetus with a Congenital malignant extrarenal rhabdoid tumor on the left neck and chest with generalized metastases. Cytogenetic analysis of the tumor cells revealed a trisomy 7. Prenatal ultrasound permits in utero detection of fetal tumors and identification of complications.

  • Congenital malignant extrarenal rhabdoid tumor: prenatal ultrasound findings.
    Obstetrics & Gynecology, 2002
    Co-Authors: Jeanette Leader, S J Carlan, Jonathan Blum
    Abstract:

    Abstract BACKGROUND: Congenital Cancer is rare, and metastatic Cancer of the infant at birth is even more unusual. Pregnancy management may be altered if fetal tumors are detected by prenatal ultrasound. CASE: We present a 29-week gestation with polyhydramnios and a fetus with a Congenital malignant extrarenal rhabdoid tumor on the left neck and chest with generalized metastases. Cytogenetic analysis of the tumor cells revealed a trisomy 7. CONCLUSION: Prenatal ultrasound permits in utero detection of fetal tumors and identification of complications.

Jeanette Leader - One of the best experts on this subject based on the ideXlab platform.

  • Congenital malignant extrarenal rhabdoid tumor: prenatal ultrasound findings.
    Obstetrics and gynecology, 2002
    Co-Authors: Jeanette Leader, S J Carlan, Jonathan Blum
    Abstract:

    Congenital Cancer is rare, and metastatic Cancer of the infant at birth is even more unusual. Pregnancy management may be altered if fetal tumors are detected by prenatal ultrasound. We present a 29-week gestation with polyhydramnios and a fetus with a Congenital malignant extrarenal rhabdoid tumor on the left neck and chest with generalized metastases. Cytogenetic analysis of the tumor cells revealed a trisomy 7. Prenatal ultrasound permits in utero detection of fetal tumors and identification of complications.

  • Congenital malignant extrarenal rhabdoid tumor: prenatal ultrasound findings.
    Obstetrics & Gynecology, 2002
    Co-Authors: Jeanette Leader, S J Carlan, Jonathan Blum
    Abstract:

    Abstract BACKGROUND: Congenital Cancer is rare, and metastatic Cancer of the infant at birth is even more unusual. Pregnancy management may be altered if fetal tumors are detected by prenatal ultrasound. CASE: We present a 29-week gestation with polyhydramnios and a fetus with a Congenital malignant extrarenal rhabdoid tumor on the left neck and chest with generalized metastases. Cytogenetic analysis of the tumor cells revealed a trisomy 7. CONCLUSION: Prenatal ultrasound permits in utero detection of fetal tumors and identification of complications.

S J Carlan - One of the best experts on this subject based on the ideXlab platform.

  • Congenital malignant extrarenal rhabdoid tumor: prenatal ultrasound findings.
    Obstetrics and gynecology, 2002
    Co-Authors: Jeanette Leader, S J Carlan, Jonathan Blum
    Abstract:

    Congenital Cancer is rare, and metastatic Cancer of the infant at birth is even more unusual. Pregnancy management may be altered if fetal tumors are detected by prenatal ultrasound. We present a 29-week gestation with polyhydramnios and a fetus with a Congenital malignant extrarenal rhabdoid tumor on the left neck and chest with generalized metastases. Cytogenetic analysis of the tumor cells revealed a trisomy 7. Prenatal ultrasound permits in utero detection of fetal tumors and identification of complications.

  • Congenital malignant extrarenal rhabdoid tumor: prenatal ultrasound findings.
    Obstetrics & Gynecology, 2002
    Co-Authors: Jeanette Leader, S J Carlan, Jonathan Blum
    Abstract:

    Abstract BACKGROUND: Congenital Cancer is rare, and metastatic Cancer of the infant at birth is even more unusual. Pregnancy management may be altered if fetal tumors are detected by prenatal ultrasound. CASE: We present a 29-week gestation with polyhydramnios and a fetus with a Congenital malignant extrarenal rhabdoid tumor on the left neck and chest with generalized metastases. Cytogenetic analysis of the tumor cells revealed a trisomy 7. CONCLUSION: Prenatal ultrasound permits in utero detection of fetal tumors and identification of complications.

Donald Bruce - One of the best experts on this subject based on the ideXlab platform.

  • clusters of multiple complex chronic conditions a latent class analysis of children at end of life
    Journal of Pain and Symptom Management, 2016
    Co-Authors: Lisa C Lindley, Jennifer W Mack, Donald Bruce
    Abstract:

    Abstract Context Children at end of life often experience multiple complex chronic conditions with more than 50% of children reportedly having two or more conditions. These complex chronic conditions are unlikely to occur in an entirely uniform manner in children at end of life. Previous work has not fully accounted for patterns of multiple conditions when evaluating care among these children. Objectives The objective of the study was to understand the clusters of complex chronic conditions present among children in the last year of life. Methods Participants were 1423 pediatric decedents from the 2007 to 2008 California Medicaid data. A latent class analysis was used to identify clusters of children with multiple complex chronic conditions (neurological, cardiovascular, respiratory, renal, gastrointestinal, hematologic, metabolic, Congenital, Cancer). Multinomial logistic regression analysis was used to examine the relationship between demographic characteristics and class membership. Results Four latent classes were yielded: medically fragile (31%); neurological (32%); Cancer (25%); and cardiovascular (12%). Three classes were characterized by a 100% likelihood of having a complex chronic condition coupled with a low or moderate likelihood of having the other eight conditions. The four classes exhibited unique demographic profiles. Conclusion This analysis presented a novel way of understanding patterns of multiple complex chronic conditions among children that may inform tailored and targeted end-of-life care for different clusters.

Jennifer W Mack - One of the best experts on this subject based on the ideXlab platform.

  • clusters of multiple complex chronic conditions a latent class analysis of children at end of life
    Journal of Pain and Symptom Management, 2016
    Co-Authors: Lisa C Lindley, Jennifer W Mack, Donald Bruce
    Abstract:

    Abstract Context Children at end of life often experience multiple complex chronic conditions with more than 50% of children reportedly having two or more conditions. These complex chronic conditions are unlikely to occur in an entirely uniform manner in children at end of life. Previous work has not fully accounted for patterns of multiple conditions when evaluating care among these children. Objectives The objective of the study was to understand the clusters of complex chronic conditions present among children in the last year of life. Methods Participants were 1423 pediatric decedents from the 2007 to 2008 California Medicaid data. A latent class analysis was used to identify clusters of children with multiple complex chronic conditions (neurological, cardiovascular, respiratory, renal, gastrointestinal, hematologic, metabolic, Congenital, Cancer). Multinomial logistic regression analysis was used to examine the relationship between demographic characteristics and class membership. Results Four latent classes were yielded: medically fragile (31%); neurological (32%); Cancer (25%); and cardiovascular (12%). Three classes were characterized by a 100% likelihood of having a complex chronic condition coupled with a low or moderate likelihood of having the other eight conditions. The four classes exhibited unique demographic profiles. Conclusion This analysis presented a novel way of understanding patterns of multiple complex chronic conditions among children that may inform tailored and targeted end-of-life care for different clusters.