Objective
To create a model for prediction of success of uterine‐preserving procedures in women with placenta accreta spectrum (PAS).
Methods
PAS‐ID is a multicenter study that included 11 centers from 9 countries. Women with PAS, who were managed between January 1, 2010 and December 31, 2019, were retrospectively included. Data were split into model development and validation cohorts, and a prediction model was created using logistic regression. Main outcome was success of uterine preservation.
Results
Out of 797 women with PAS, 587 were eligible. Uterus‐preserving procedures were successful in 469 patients (79.9%). Number of previous cesarean sections (CS) was inversely associated with management success (adjusted odds ratio [aOR] 0.02, 95% confidence interval [CI] 0.001–3.63 with five previous CS). Other variables were complete placental invasion (aOR 0.14, 95% CI 0.05–0.43), type of CS incision (aOR 0.04, 95% CI 0.01–0.25 for classical incision), compression sutures (aOR 2.48, 95% CI 1.00–6.16), accreta type (aOR 3.76, 95% CI 1.13–12.53), incising away from placenta (aOR 5.09, 95% CI 1.52–16.97), and uterine resection (aOR 102.57, 95% CI 3.97–2652.74).
Conclusion
The present study provides a prediction model for success of uterine preservation, which may assist preoperative and intraoperative decisions, and promote incorporation of uterine preservation procedures in comprehensive PAS protocols.
Objective: To observe and compare relationship of High Resolution Computed Tomography severity score with presenting symptoms of COVID-19 positive patients in mild, moderate and severe disease and to analyze the trends of morbidity and mortality in Pakistan. Study Design: Retrospective Observational study Subjects and Methods: All OPD and admitted adult male and female patients serially presented to Fatima Memorial and Sir Ganga Ram Hospital Lahore with positive COVID PCR test or clinical symptoms were included in the study. These patients were classified in three groups; Group I: Mild disease, i.e. symptomatic patients who didn’t need hospital admission or oxygen support. Group II: Moderate disease, i.e. patients having oxygen saturation more than 90% & needing oxygen support at times, and Group III: severe disease, i.e. patients needing hospital admission or ventilator support and having oxygen saturation less than 90%. High resolution chest CT scan was the approach in all cases. CT severity score was used to assess the severity of lung parenchymal involvement by COVID-19 on all the HRCT. Data collected was entered and analysis made using SPSS v 25. Results: Total number of patients were 200(100%) with age ranging from 14-85 years and mean age was 49.5+ 5 years, out of which 135(67%) were males and 65(32%) were females with male to female ratio 2:1. HRCT scans of all patients were done with COVID PCR test positive in 146(73%) patients. Group I had 98(49%) patients, 87(43.5%) patients were included in Group II and 15(7.5%) patients in Group III. Oxygen was required in 78(39%) patients from group II and 14(7%) patients from severe disease required ventilator. Conclusion: Our research work presented the trends of CT severity scoring having positive correlation to clinical symptoms of patients. Moreover, most of the patients in our country were having mild and moderate disease and only 7% patients showed severe disease symptoms and CT scoring in our study. Out of those severe disease patients, mortality was only 1% as compared to 2.89% mortality reported in Iran. Keywords: COVID-19 infection, HRCT Chest, Severity score
Introduction: Cervical cancer is a prevalent malignancy that has a high death and morbidity rate. It's caused by aberrant cell proliferation with the capacity to infiltrate and spread to other portions of the body. Objective: The main objective of the study is to compare the degree of agreement between MRI and histopathology in T staging of cervical carcinoma. Material and Methods: This cross sectional study was conducted in the department of radiology, Mayo Hospital Lahore for 6 months i.e. 12 Feb 2019 to 11 Feb 2020. MRI of the pelvis performed using a 1.5 tesla MRT 1580 scanner. All the results were interpreted by our senior radiologist and T-stage was noted according to MRI findings. All histopathological examinations performed. Both MRI and histopathology were separately place. Results: The mean age of patients was 46.45±13.38 years, 25(25%) patients were with underweight BMI and obese BMI patients were 36(36%). In our study the agreement between the MRI and histopathology was found in 77(77%) patients. Conclusion: According to our study results the MRI had good agreement with histopathology in T staging of cervical carcinoma.
Objective: To establish a prediction model of clinical outcomes in women with placenta accreta spectrum (PAS) Design:Retrospective cohort study Setting: International multicenter study (PAS-ID); 11 centers from 9 countries Population: Women
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