scholarly journals Impact of multiple factors on the incidence of developmental dysplasia of the hip: risk assessment tool

Author(s):  
Łukasz Pulik ◽  
Katarzyna Poszka ◽  
Krzysztof Romaniuk ◽  
Aleksandra Sibilska ◽  
Andrzej Jedynak ◽  
...  

Abstract Introduction: Developmental dysplasia of the hip (DDH) is one of the most common musculoskeletal conditions in children. Not treated DDH leads to disability, gait abnormalities, limb shortening and chronic pain. Our study aims to determine the impact of multiple risk factors on the occurrence of DDH and develop an interactive risk assessment tool.Materials and Methods: We conducted a retrospective cohort study in the Outpatient Clinic for Children of University Hospital. The Graf classification system was used for ultrasonographic universal screening. In total, 3102 infants met the eligibility criteria (n =6204 hip joints). Results: The incidence of DDH was 4.45%. In multivariate analysis, risk factors for DDH were weight (OR = 2.17 (1.41-3.32)), week of delivery (OR = 1.18 (1.00-1.37)), gender (OR = 8.16 (4.86-13.71)), breech delivery presentation (OR = 5.92 (3.37-10.40)), symptoms of DDH (25.28 (8.77-72.83)) and positive family history in siblings (5.74 (2.68-12.31)). Multivariate logistic regression predictive model was used to construct the interactive risk calculator.Conclusion: We confirmed well-known DDH risk factors in the studied population. Our results support the recent hypothesis that preterm infants (37 < week) have lower rate of DDH. The DDH risk calculator was built but needs external validation in prospective study before being used in a clinical setting.Level of Evidence: Retrospective cohort study: Level III

2021 ◽  
Author(s):  
Łukasz Pulik ◽  
Krzysztof Romaniuk ◽  
Aleksandra Sibilska ◽  
Andrzej Jedynak ◽  
Ignacy Tołowiński ◽  
...  

Abstract Introduction: Developmental dysplasia of the hip (DDH) is one of the most common musculoskeletal conditions in children. Not treated DDH leads to disability, gait abnormalities, limb shortening and chronic pain. Our study aims to determine the impact of multiple risk factors on the occurrence of DDH and develop an interactive risk assessment tool.Methods: We conducted a retrospective cohort study in the Outpatient Clinic for Children of University Hospital. The Graf classification system was used for ultrasonographic universal screening. In total, 4881 infants met the eligibility criteria (n = 9762 hip joints). Hypothesis testing was performed with χ² test and logistic regression.Results: The incidence of DDH was 4.57%. We have proven risk factors of DDH: female gender (OR=7.11), breech position (OR=3.65), Caesarean section (OR=1.43), positive family history in parent (OR=1.92) or sibling (OR=3.84). Preterm delivery decreased the risk (OR=0.17). Logistic regression was used to construct the interactive risk calculator.Conclusion: The DDH risk calculator was built but needs external validation in prospective study before being used in a clinical setting. We confirmed well-known DDH risk factors in the studied population. Our results support the recent hypothesis that preterm infants (37 < week) have lower rate of DDH.Level of Evidence:Retrospective cohort study: Level III


2016 ◽  
Vol 10 (3) ◽  
pp. 179-184 ◽  
Author(s):  
Richard O. E. Gardner ◽  
Catharine S. Bradley ◽  
Om P. Sharma ◽  
Lin Feng ◽  
Michelle EyunJung Shin ◽  
...  

2018 ◽  
Vol 69 (9) ◽  
pp. 2465-2466
Author(s):  
Iustin Olariu ◽  
Roxana Radu ◽  
Teodora Olariu ◽  
Andrada Christine Serafim ◽  
Ramona Amina Popovici ◽  
...  

Osseointegration of a dental implant may encounter a variety of problems caused by various factors, as prior health-related problems, patients� habits and the technique of the implant inserting. Retrospective cohort study of 70 patients who received implants between January 2011- April 2016 in one dental unit, with Kaplan-Meier method to calculate the probability of implants�s survival at 60 months. The analysis included demographic data, age, gender, medical history, behavior risk factors, type and location of the implant. For this cohort the implants�survival for the first 6 months was 92.86% compared to the number of patients and 97.56% compared to the number of total implants performed, with a cumulative failure rate of 2.43% after 60 months. Failures were focused exclusively on posterior mandible implants, on the percentage of 6.17%, odds ratio (OR) for these failures being 16.76 (P = 0.05) compared with other localisations of implants, exclusively in men with median age of 42 years.


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