Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Daniel N. Pasko is active.

Publication


Featured researches published by Daniel N. Pasko.


Gynecologic Oncology | 2014

Diabetes mellitus and ovarian cancer: More complex than just increasing risk ☆

Monjri M. Shah; Britt K. Erickson; Tasnia Matin; Gerald McGwin; Jovana Y. Martin; Laura Becca Daily; Daniel N. Pasko; Christen L. Walters Haygood; Janelle M. Fauci; Charles A. Leath

OBJECTIVE Diabetes mellitus (DM) is a risk factor for endometrial cancer and is associated with poorer outcomes in breast and colon cancers. This association is less clear in epithelial ovarian cancer (EOC). We sought to examine the effect of DM on progression-free (PFS) and overall survival (OS) in women with EOC. METHODS A retrospective cohort study of EOC patients diagnosed between 2004 and 2009 at a single institution was performed. Demographic, pathologic and DM diagnosis data were abstracted. Pearson chi-square test and t test were used to compare variables. The Kaplan-Meier method and the log rank test were used to compare PFS and OS between non-diabetic (ND) and DM patients. RESULTS 62 (17%) of 367 patients had a diagnosis of DM. No differences in age, histology, debulking status, or administration of intraperitoneal chemotherapy between ND and DM patients were present, although there were more stage I and IV patients in the ND group (p=0.04). BMI was significantly different between the two groups (ND vs. DM, 27.5 vs. 30.7kg/m(2), p<0.001). While there were no differences in survival based on BMI, diabetic patients had a poorer PFS (10.3 vs. 16.3months, p=0.024) and OS (26.1 vs. 42.2months, p=0.005) compared to ND patients. Metformin use among diabetic patients did not appear to affect PFS or OS. CONCLUSIONS EOC patients with DM have poorer survival than patients without diabetes; this association is independent of obesity. Metformin use did not affect outcomes. The pathophysiology of this observation requires more inquiry.


Gynecologic Oncology | 2016

Early warning score: An indicator of adverse outcomes in postoperative patients on a gynecologic oncology service

Haller J. Smith; Daniel N. Pasko; Christen L. Walters Haygood; Jonathan D. Boone; Lorie M. Harper; J. Michael Straughn

OBJECTIVE In 2014, our hospital implemented an early warning score (EWS) to identify inpatients at risk for clinical deterioration. EWS≥8 is associated with ≥10% mortality in medical admissions. Since postoperative hemodynamic changes may alter EWS, we evaluated EWS in post-laparotomy patients. METHODS Gynecologic oncology patients admitted for laparotomy from 9/1/2014 to 7/31/2015 were categorized by highest EWS during admission: <5, 5-7, and ≥8. The primary outcome was a composite including death, ICU transfer, rapid response team activation, pulmonary embolus, sepsis, and reoperation. For patients with the composite, highest EWS prior to that outcome was evaluated. Secondary outcomes were length of stay (LOS), readmission, and transfusion. Groups were compared using chi-square test for trend, analysis of variance, and Kruskal-Wallis tests. A receiver operating characteristic (ROC) curve estimated the association between EWS and the composite outcome. RESULTS 411 patients were included: 217 (52.8%) with EWS<5, 151 (36.7%) with EWS 5-7, and 43 (10.5%) with EWS≥8. The composite occurred in 32.6% of patients with EWS≥8, 7.3% with EWS 5-7, and 0% with EWS<5 (p<0.01). EWS≥8 was associated with longer LOS, higher readmission rate, and more transfusions. For the composite, the area under the ROC curve was 0.89 (95% CI 0.84-0.94). EWS≥5 had 100% sensitivity and 56.2% specificity for the primary outcome; EWS≥8 had 56.0% sensitivity and 92.5% specificity for the primary outcome. CONCLUSIONS EWS≥5 after laparotomy is associated with adverse outcomes. Future studies should evaluate the ability of EWS to predict and prevent these outcomes.


Journal of Ultrasound in Medicine | 2016

Completion and Sensitivity of the Second-Trimester Fetal Anatomic Survey in Obese Gravidas

Daniel N. Pasko; S. Lindsay Wood; Sheri Jenkins; John Owen; Lorie M. Harper


Archive | 2016

The epidemiology of caesarean delivery

Daniel N. Pasko; Akila Subramaniam; Alan Tita


Gynecologic Oncology | 2015

Are hospital readmissions an accurate measure of quality cancer care in gynecologic oncology patients

Daniel N. Pasko; Jonathan D. Boone; E.D. Thomas; Warner K. Huh; Ronald D. Alvarez; Charles A. Leath; J.M. Straughn


Gynecologic Oncology | 2014

The Charlson Comorbidity Index predicts survival in women with epithelial ovarian cancer independent of surgical debulking status

Britt K. Erickson; Tasnia Matin; Jovana Y. Martin; Monjri M. Shah; Daniel N. Pasko; C.L. Walters Haygood; L.R. Daily; M. Straughn; Charles A. Leath


Journal of Lower Genital Tract Disease | 2018

High Rates of High-Grade Cervical Dysplasia in High-Risk Young Women With Low-Grade Cervical Cytology

Laura R. Daily; Britt K. Erickson; Daniel N. Pasko; J. Michael Straughn; Warner K. Huh; Charles A. Leath


American Journal of Obstetrics and Gynecology | 2018

877: Does the effect of adjunctive azithromycin on cesarean infection vary with cefazolin dose?

Daniel N. Pasko; Alan Tita


American Journal of Obstetrics and Gynecology | 2018

879: Comparison of cesarean deliveries in a multicenter U.S. cohort using the WHO Robson 10-Group Classification System

Daniel N. Pasko


American Journal of Obstetrics and Gynecology | 2018

880: Use of a novel device (Moyo) for intrapartum fetal monitoring in 1,000 consecutive pregnancies in Cameroon, Africa

Daniel N. Pasko; Christina T. Blanchard; Jeffery Szychowski; Rahel Mbah; Edith Welty; Lorie M. Harper; Alan Tita

Collaboration


Dive into the Daniel N. Pasko's collaboration.

Top Co-Authors

Avatar

Lorie M. Harper

University of Alabama at Birmingham

View shared research outputs
Top Co-Authors

Avatar

Alan Tita

University of Alabama at Birmingham

View shared research outputs
Top Co-Authors

Avatar

Britt K. Erickson

University of Alabama at Birmingham

View shared research outputs
Top Co-Authors

Avatar

Charles A. Leath

University of Alabama at Birmingham

View shared research outputs
Top Co-Authors

Avatar

Jovana Y. Martin

University of Alabama at Birmingham

View shared research outputs
Top Co-Authors

Avatar

L.R. Daily

University of Alabama at Birmingham

View shared research outputs
Top Co-Authors

Avatar

Monjri M. Shah

University of Alabama at Birmingham

View shared research outputs
Top Co-Authors

Avatar

Janelle M. Fauci

University of Alabama at Birmingham

View shared research outputs
Top Co-Authors

Avatar

C. Walters

University of Alabama at Birmingham

View shared research outputs
Top Co-Authors

Avatar

J.M. Straughn

University of Alabama at Birmingham

View shared research outputs
Researchain Logo
Decentralizing Knowledge