scholarly journals Which Part of Cervical Length is Predictive of PTB in Women with cerclage: Retrospective Study

2022 ◽  
Vol 226 (1) ◽  
pp. S494-S495
Author(s):  
Gal Bachar ◽  
Naama Farago ◽  
Roy Lauterbach ◽  
Yoav Siegler ◽  
Nizar Khatib ◽  
...  
Keyword(s):  
Retrospective Study ◽  
Cervical Length

Ultrasonographic Change in Uterocervical Angle is not a Risk Factor for Preterm Birth in Women with a Short Cervix

2017 ◽  
Vol 34 (11) ◽  
pp. 1058-1064 ◽  
Author(s):  
Kam Szlachetka ◽  
Neil Seligman ◽  
Tara Lynch
Keyword(s):  
Risk Factor ◽  
Retrospective Study ◽  
Preterm Birth ◽  
Primary Outcome ◽  
Cervical Length ◽  
Inclusion Criteria ◽  
Short Cervix ◽  
Increased Risk ◽  
The Difference ◽  
Singleton Pregnancies

Objective To determine if change in uterocervical angle (UCA) is associated with an increased rate of preterm birth (less than 37 weeks) for women with a short cervix. Study Design A retrospective study was performed from January 2013 to March 2016 of singleton pregnancies undergoing universal cervical length screening. The difference between the UCA for the first cervical length ≤ 2.5 cm and last recorded cervical length < 25 weeks was defined as the change in UCA. The primary outcome was the rate of preterm birth at < 37 weeks of gestation. Results A total of 176 women met the inclusion criteria. There was no difference in the rate of preterm birth at < 34 weeks (23.3 vs. 16.7%, p = 0.27) or at < 37 weeks (34.9 vs. 37.8%, p = 0.69) based on a change in UCA (i.e., decreased/no change or increased UCA). However, women with a final UCA ≥105 degrees had an increased risk of preterm birth at less than 34 weeks (24.2 vs. 6.8%, p = 0.01). Conclusion A change in UCA was not associated with an increased risk of preterm birth. Instead, a final absolute UCA ≥ 105 degrees measured < 25 weeks was associated with an increased risk of preterm birth at < 34 weeks of gestation for women with a short cervix ≤ 2.5 cm.

scholarly journals Self-reported pain scores as a predictor of preterm birth in symptomatic twin pregnancy: a retrospective study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ji Hoi Kim ◽  
Seung Mi Lee ◽  
Sungyoung Lee ◽  
So Yeon Kim ◽  
Hye Jeong Hue ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Retrospective Study ◽  
Preterm Birth ◽  
Prediction Model ◽  
Pain Score ◽  
Twin Pregnancy ◽  
Rating Scale ◽  
Cervical Length ◽  
University Hospital ◽  
Pain Scores

Abstract Background To evaluate the self-reported pain scores as a predictor of preterm birth (PTB) in symptomatic twin pregnancy and to develop a nomogram for the prediction model. Methods We conducted a retrospective study of 148 cases of symptomatic twin pregnancies before 34 weeks of gestation visited at Seoul national university hospital from 2013 to 2018. With other clinical factors, self-reported pain score was evaluated by the numerical rating scale (NRS) pain scores for pain intensity. By multivariate analyses and logistic regression, we developed a prediction model for PTB within 7 days. Using the Cox proportional hazards model, the curves were plotted to show the predictability of the PTB according to NRS pain score, while adjusting the other covariates. Results Twenty-three patients (15.5 %) delivered preterm within 7 days. By a logistic regression analysis, higher NRS pain score (OR 1.558, 95 % CI 1.093–2.221, P < 0.05), shorter cervical length (OR 3.164, 95 % CI 1.262–7.936, P < 0.05) and positive fibronectin results (OR 8.799, 95 % CI 1.101–70.330, P < 0.05) affect PTB within 7 days. Using the variables, the area under the receiver operating characteristic curve (AUROC) of the prediction model was 0.917. In addition, we developed a nomogram for the prediction of PTB within 7 days. Conclusions Self-reported pain scores combined with cervical length and fetal fibronectin are useful in predicting impending PTB in symptomatic twin pregnancy.

scholarly journals Self-reported pain scores as a predictor of preterm birth in symptomatic twin pregnancy: a retrospective study

2020 ◽  
Author(s):  
Ji Hoi Kim ◽  
Seung Mi Lee ◽  
Sungyoung Lee ◽  
So Yeon Kim ◽  
Hye Jeong Hue ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Retrospective Study ◽  
Preterm Birth ◽  
Prediction Model ◽  
Pain Score ◽  
Twin Pregnancy ◽  
Rating Scale ◽  
Cervical Length ◽  
University Hospital ◽  
Pain Scores

Abstract Background: To evaluate the self-reported pain scores as a predictor of preterm birth (PTB) in symptomatic twin pregnancy and to develop a nomogram for the prediction model. Methods: We conducted a retrospective study of 148 cases of symptomatic twin pregnancies before 34 weeks of gestation visited at Seoul national university hospital from 2013 to 2018. With other clinical factors, self-reported pain score was evaluated by the numerical rating scale (NRS) pain scores for pain intensity. By multivariate analyses and logistic regression, we developed a prediction model for PTB within 7 days. Using the Cox proportional hazards model, the curves were plotted to show the predictability of the PTB according to NRS pain score, while adjusting the other covariates. Results: 23 patients (15.5%) delivered preterm within 7 days. By a logistic regression analysis, higher NRS pain score (OR 1.558, 95% CI 1.093-2.221, P<0.05), shorter cervical length (OR 3.164, 95% CI 1.262-7.936, P<0.05) and positive fibronectin results (OR 8.799, 95% CI 1.101-70.330, P<0.05) affect PTB within 7 days. Using the variables, the area under the receiver operating characteristic curve (AUROC) of the prediction model was 0.917. In addition, we developed a nomogram for the prediction of PTB within 7 days. Conclusions: Self-reported pain scores combined with cervical length and fetal fibronectin are useful in predicting impending PTB in symptomatic twin pregnancy.

Postoperative hyperthermia in cats treated with Simbadol or morphine: a retrospective study

2020 ◽  
Vol 47 (6) ◽  
pp. 855.e3
Author(s):  
C. Cannarozzo ◽  
P. Kirch ◽  
L. Campoy ◽  
R. Gleed ◽  
M. Martin-Flores
Keyword(s):  
Retrospective Study
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