Determinants of diagnostic delay in axial spondyloarthritis: an analysis based on linked claims and patient-reported survey data

Rheumatology ◽  
2019 ◽  
Vol 58 (9) ◽  
pp. 1634-1638 ◽  
Author(s):  
Imke Redeker ◽  
Johanna Callhoff ◽  
Falk Hoffmann ◽  
Hildrun Haibel ◽  
Joachim Sieper ◽  
...  
Keyword(s):  
Linear Regression ◽  
Symptom Onset ◽  
Linear Regression Analysis ◽  
Diagnostic Delay ◽  
International Classification Of Diseases ◽  
Hla B27 ◽  
Health Insurance Data ◽  
Factors Associated ◽  
Patient Reported ◽  
The Mean

Abstract Objectives The objective of this study was to assess the current diagnostic delay in axial SpA (axSpA) and to analyse factors associated with it. Methods A stratified sample of subjects with a diagnosis of axSpA (International Classification of Diseases, 10th Revision code M45) was drawn from health insurance data in Germany and was questioned on disease-related, lifestyle and socio-economic characteristics. The diagnostic delay was calculated as the time from back pain onset until a diagnosis of axSpA. A multivariable linear regression analysis was performed to explore factors associated with the diagnostic delay. Results Among 1677 patients with axSpA included in the analysis, the mean diagnostic delay was 5.7 years (median 2.3). Of those, 407 patients were diagnosed in 1996–2005 and 484 patients in 2006–2015. The mean diagnostic delay was not substantially different in both periods: 6.3 years (median 2.6) and 7.4 (2.7), respectively. Multivariable linear regression revealed that female sex [β = 1.85 (95% CI 1.06, 2.65)], negative HLA-B27 status [β = 3.61 (95% CI 2.07, 5.14)], presence of psoriasis [β = 1.40 (95% CI 0.08, 2.73)] and younger age at symptom onset [β = 1.91 (95% CI 1.53, 2.29)] were factors associated with a longer diagnostic delay. Conclusion The diagnostic delay in axSpA is still unacceptably long. Patients who are female, young at symptom onset, HLA-B27 negative or have psoriasis have a longer diagnostic delay. Specific referral strategies might be necessary in order to decrease the diagnostic delay in patients presenting with these characteristics.

scholarly journals Change of Retinal Vessel Density After Lowering Intraocular Pressure in Ocular Hypertension

2021 ◽  
Vol 8 ◽  
Author(s):  
Xuhao Chen ◽  
Ying Hong ◽  
Haohao Di ◽  
Qianru Wu ◽  
Di Zhang ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Intraocular Pressure ◽  
Linear Regression ◽  
Ocular Hypertension ◽  
Linear Regression Analysis ◽  
Vessel Density ◽  
Factors Associated ◽  
Rnfl Thickness ◽  
Deep Layers ◽  
The Mean

Purpose: To investigate the relationship between retinal microvasculature changes and intraocular pressure (IOP) for ocular hypertension (OHT) patients and further assess the factors associated with retinal microcirculation changes.Methods: This was a single-center prospective study designed for OHT patients, which consisted of two visits. After collecting baseline data of those who met the eligibility criteria, these patients were treated with latanoprost 0.005% ophthalmic solution for 4 weeks. Peripapillary vessel density (VD) of radial peripapillary capillaries (RPC) layer, macular VD in both superficial and deep layers, and foveal avascular zone (FAZ) area were measured by optical coherence tomography angiography (OCTA) before and after the treatment. We compared the changes in IOP and VD among the two visits by paired-sample t-test. Bonferroni correction was applied. Factors associated with VD changes were analyzed by linear regression analysis.Results: Thirty-four eyes of thirty-four patients were included. The mean IOP decreased by 6.5 ± 2.2 mmHg (p < 0.001). The peripapillary RPC VD increased significantly from 51.8 ± 2.5 to 53.0 ± 3.1% (Adjusted-p = 0.012). We found no significant difference in detailed sectors of the peripapillary region after correction. In the macular area, both the superficial and deep layers in foveal (superficial: 0.2 ± 1.9%, p = 0.523; deep: 0.0 ± 2.3%, p = 0.969) and parafoveal (superficial: 0.3 ± 3.0%, p = 0.565; deep: 0.5 ± 3.1%, p = 0.423) VD remained unchanged. The decrease of the mean FAZ area was insignificant (p = 0.295). The percentage of IOP reduction (β = 0.330, p = 0.031) and the baseline RNFL thickness (β = 0.450, p = 0.004) significantly correlated with the percentage of peripapillary RPC VD improvement in the multivariate linear regression analysis.Conclusion: The peripapillary VD in OHT patients increased after the reduction of IOP. The mild change of IOP did not alter the microcirculation in the macula. In addition, the percentage of IOP change and the baseline RNFL thickness were independent factors for the peripapillary RPC VD improvement.

scholarly journals High Probability of Long Diagnostic Delay in Coronavirus Disease 2019 Cases with Unknown Transmission Route in Japan

2020 ◽  
Vol 17 (22) ◽  
pp. 8655
Author(s):  
Tsuyoshi Ogata ◽  
Hideo Tanaka
Keyword(s):  
Symptom Onset ◽  
Odds Ratio ◽  
High Probability ◽  
Adjusted Odds Ratio ◽  
Diagnostic Delay ◽  
Regression Analyses ◽  
Factors Associated ◽  
The Mean ◽  
Diagnostic Delays ◽  
Pcr Test

Long diagnostic delays (LDDs) in patients with coronavirus disease 2019 (COVID-19) might decrease the effectiveness of patient isolation in reducing subsequent transmission. We assumed that direction of government considerably increased probability of LDD among COVID-19 cases with unknown exposure in Japan. This study aimed to investigate association of route of case detection and proportion of LDD of COVID-19 in Japan. We included confirmed COVID-19 patients with symptom onset between the ninth and eleventh week in 2020, in 6 prefectures of Japan. LDD was defined as the duration between COVID-19 symptom onset and confirmation ≥6 days. We used multivariable logistic regression analyses to elucidate factors associated with LDD. The mean diagnostic delay for 364 cases was 6.3 days. Proportion of LDD was 38% for cases with known exposure, and 65% for cases with unknown exposure. The probability of LDD in cases with unknown exposure was significantly higher than that for known exposure cases (adjusted odds ratio: 2.38, 95% confidence interval: 1.354–4.21). Early PCR test after symptom onset, strengthening of PCR test capacity, and investigations to study impact of high proportion of LDD in cases without known exposure might be necessary.

scholarly journals POS0974 IMPROVEMENT IN THE DIAGNOSTIC DELAY OF AXIAL SPONDYLOARTHRITIS, RESULTS FROM REAL WORLD DATA

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 753.1-753
Author(s):  
J. Feld ◽  
O. Elkayam ◽  
A. Druyan ◽  
T. Reitblat ◽  
A. Balbir-Gurman ◽  
...  
Keyword(s):  
Ankylosing Spondylitis ◽  
Real World ◽  
Symptom Onset ◽  
Axial Spondyloarthritis ◽  
Diagnostic Delay ◽  
The United States ◽  
Delay In Diagnosis ◽  
Factors Associated ◽  
The Mean ◽  
Diagnostic Variables

Background:Diagnostic delay is a major challenge in axial spondyloarthritis (axSpA) with an extended interval of 8-10 years in Europe and 14 years in the United States between symptom onset and disease diagnosis (1, 2).Objectives:To assess the delay in the diagnosis of axSpA over time in a real world axSpA cohort diagnosed in the last 3 decades and to evaluate factors associated with this delay.Methods:A cohort of axSpA patients was recruited from a national multicenter registry of inflammatory arthritis. This cohorts’ demographic, clinical and diagnostic variables were studied. The diagnostic delay was defined as the time interval between the year of first symptom and year of diagnosis. The mean and median diagnostic delay were calculated. A survival analysis was performed evaluating the association between the demographic, clinical and diagnostic variables on the diagnostic delay.Results:Of the 373 axSpA patients in the registry, 198 (47%) are men. Ankylosing spondylitis fulfilling New York criteria was diagnosed in 73% of the patients. HLA-B*27 positivity was found in 64% of patients. The majority of the patients (63%) reported symptom onset between the age of 21-45, 21% before the age of 21 and 16% after the age of 45. Nine percent were diagnosed before the age of 21, 28% between 21-30, 23% between 31-40, 21% between 41-50 and 18% after the age of 50. One hundred and ten patients were diagnosed before 2000, 133 between 2001-2009 and 130 between 2010-2020. The mean and median delay in diagnosis was 9.1, 6 (±8.4) years when diagnosed before 2000, 5, 4 (±4.1) years when diagnosed 2001-2009, and 2, 1 (±1.5) years when diagnosed 2010-2020, respectively (graph 1). The only variable which was found to be associated with a shorter delay was the interval between symptom onset and first rheumatology consult: HR of 5.86 (4.3-8, p<0.001) if the rheumatology visit was within the first year of symptoms, HR 3.5 (2.4-5, p<0.001) if assessed 2-3 years after symptom onset. Additionally, age <21 at symptom onset was associated with a shorter delay (p=0.005). Sex, type of axSpA (radiographic vs. non radiographic axSpA), level of education, and HLA-B*27 positivity were not associated with a delay in diagnosis.Conclusion:Delay in axSpA diagnosis has significantly improved in this real-world cohort during the last decade. The most significant factor associated with a faster diagnosis was the time of the first rheumatology consult relative to symptom onset. Increasing the awareness of disease manifestations and early referral to a rheumatology service can improve the diagnosis delay of axSpA.References:[1]Sorensen J, Hetland ML, all departments of rheumatology in D. Diagnostic delay in patients with rheumatoid arthritis, psoriatic arthritis and ankylosing spondylitis: results from the Danish nationwide DANBIO registry. Ann Rheum Dis. 2015;74(3):e12.[2]Deodhar A, Mittal M, Reilly P, Bao Y, Manthena S, Anderson J, et al. Ankylosing spondylitis diagnosis in US patients with back pain: identifying providers involved and factors associated with rheumatology referral delay. Clin Rheumatol. 2016;35(7):1769-76.Graph 1.The improvement in the delay in diagnosis of axial spondyloarthropathy over the last 3 decadesDisclosure of Interests:None declared.

scholarly journals Factors associated with prolonged duration of viral clearance in non-severe SARS-CoV-2 patients in Osaka, Japan

2021 ◽  
Vol 26 (1) ◽  
Author(s):  
Emma Nakagawa Hoffman ◽  
Haruna Kawachi ◽  
Atsushi Hirayama ◽  
Jingwen Zhang ◽  
Ayumi Murayama ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Linear Regression ◽  
Observational Study ◽  
Symptom Onset ◽  
Linear Regression Analysis ◽  
Viral Clearance ◽  
Factors Associated ◽  
Longitudinal Observational Study ◽  
Prolonged Duration

Abstract Background We investigated factors associated with prolonged viral clearance of SARS-CoV-2 among non-severe adult patients in Osaka, Japan. A total of 706 laboratory-confirmed COVID-19 patients were enrolled in this longitudinal observational study between 29 January 2020 and 31 May 2020, across 62 hospitals and three non-hospital recuperation facilities. Methods Logistic regression analysis was performed to investigate the factors associated with prolonged (29 days: upper 25% in duration) viral clearance of SARS-CoV-2. Linear regression analysis was conducted to assess these factors 14 days after symptom onset. Results The median duration of viral clearance was 22 days from symptom onset. After adjustment for sex, age, symptoms, comorbidity, and location of recuperation, comorbidities were associated with prolonged duration: (OR, 1.77 [95% CI, 1.11–2.82]) for one, (OR, 2.47 [95% CI, 1.32–4.61]) for two or more comorbidities. Viral clearance 14 days after symptom onset was 3 days longer for one comorbidity and 4 days longer for two or more comorbidities compared to clearance when there was no comorbidity. Conclusion The presence of comorbidity was a robust factor associated with a longer duration of viral clearance, extending by 3 to 4 days compared to patients with no comorbidity.

The impact of legs fat mass and legs lean fat mass on thigh circumference according cardiovascular risk: a population-based study

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
M Chlabicz ◽  
M Paniczko ◽  
J Jamolkowski ◽  
P Sowa ◽  
M Lapinska ◽  
...  
Keyword(s):  
Adipose Tissue ◽  
Regression Analysis ◽  
Linear Regression ◽  
Muscle Tissue ◽  
Fat Mass ◽  
Linear Regression Analysis ◽  
Population Based ◽  
Thigh Circumference ◽  
Tissue Model ◽  
The Mean

Abstract Funding Acknowledgements Type of funding sources: Public Institution(s). Main funding source(s): Medical University of Bialystok, Poland Introduction A low thigh circumference is associated with an increased risk of high blood pressure, diabetes, cardiovascular diseases, and total mortality. Objectives The aim of the study was to investigate the relationship between the thigh circumference and cardiovascular (CV) risk classes, and to assess what type of tissue, adipose tissue or muscle tissue affects the thigh circumference. Methods The longitudinal, population-based, Polish study was conducted in 2017-2020. A total of 931 individuals aged 20-79 were analyzed. Pol-SCORE system was used to assess the 10-year risk of fatal CV based on the following risk factors: age, gender, smoking, systolic blood pressure, and total cholesterol for individuals aged 40-70.  Then, CV risk classes were assessed using the 2019 ESC/EAS guidelines. The measurement of thigh circumference were performed directly below the gluteal fold of the thigh. Both thighs were measured and the mean value was calculated as the final thigh circumference. Body composition was assessed using Dual Energy X-ray Absorptiometry (DEXA). Results The mean age was 49.1 ± 15.5 years and 43.2% male. The mean thigh circumference was 58.2 ± 5.9 cm, the mean legs fat mass was 7.7 ± 2.8kg, and the mean legs lean mass was 16.9 ± 4.0kg. Lower thigh circumference was associated with higher CV risk classes in univariate linear regression analysis (β -0.516, p = 0.002), as well adjusted by age and sex (β -0.839, p = 0.008), adjusted by age, sex, BMI (β -0.886, p &lt;0.001), and age, sex, WHR (β -0.988, p &lt;0.001). In linear regression analysis legs adipose tissue and muscle tissue were related to the thigh circumference independently of CV risk classes (Model 1) and Pol-SCORE value (Model 2). However, fatty tissue (Model 1: β 0.746, p &lt; 0.001; Model 2: β 0.749, p &lt; 0.001) affects the thigh circumference more than the muscle tissue (Model 1: β 0.479, p &lt; 0.001; Model 2: β 0.442, p &lt; 0.001) (Fig. 1). Conclusion Smaller thigh circumference was associated with higher CV risk classes. Thigh circumference was more influenced by adipose tissue than by muscle tissue, regardless of the Pol-SCORE  or CV risk classes. Table 1. Variable Model 1 Model 2 Beta p R2 Beta p R2 Legs fat mass 0.746 &lt;0.001 0.785 0.749 &lt;0.001 0.760 Legs lean mass 0.479 &lt;0.001 0.785 0.442 &lt;0.001 0.760 Model 1: adjusted for Cardiovascular risk classesModel 2: adjusted for Pol-SCOREResults of the linear regression analysis thigh circumference in the general population Abstract Figure 1.

scholarly journals Patient-Reported Outcome Measures and Clinical Outcomes in Children with Foregut Anomalies

Children ◽  
2021 ◽  
Vol 8 (7) ◽  
pp. 587
Author(s):  
Isabel I. Sreeram ◽  
Chantal A. ten Kate ◽  
Joost van Rosmalen ◽  
Johannes M. Schnater ◽  
Saskia J. Gischler ◽  
...  
Keyword(s):  
Linear Regression ◽  
Clinical Outcomes ◽  
Outcome Measures ◽  
Clinical Decision Making ◽  
Linear Regression Analysis ◽  
Patient Reported Outcome Measures ◽  
Patient Reported Outcome ◽  
Added Value ◽  
Patient Reported

Increasing numbers of children and adults with chronic disease status highlight the need for a value-based healthcare system. Patient-reported outcome measures (PROMs) are essential to value-based healthcare, yet it remains unclear how they relate to clinical outcomes such as health and daily functioning. We aimed to assess the added value of self-reported PROMs for health status (HS) and quality of life (QoL) in the long-term follow-up of children with foregut anomalies. We evaluated data of PROMs for HS and/or QoL among eight-year-olds born with congenital diaphragmatic hernia (CDH), esophageal atresia (EA), or congenital lung malformations (CLM), collected within the infrastructure of a multidisciplinary, longitudinal follow-up program. Clinical outcomes were categorized into different outcome domains, and their relationships with self-reported HS and QoL were assessed through multivariable linear regression analyses. A total of 220 children completed HS and/or QoL self-reports. In children with CDH and EA, lower cognition was significantly associated with lower self-reported HS. Due to the low number of cases, multivariable linear regression analysis was not possible in children with CLM. HS, QoL, and clinical outcomes represent different aspects of a child’s wellbeing and should be measured simultaneously to facilitate a more holistic approach to clinical decision making.

scholarly journals Determinants of psychological well-being in axial spondyloarthritis: an analysis based on linked claims and patient-reported survey data

2018 ◽  
Vol 77 (7) ◽  
pp. 1017-1024 ◽  
Author(s):  
Imke Redeker ◽  
Falk Hoffmann ◽  
Johanna Callhoff ◽  
Hildrun Haibel ◽  
Joachim Sieper ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Depressive Symptoms ◽  
Axial Spondyloarthritis ◽  
Well Being ◽  
Lifestyle Factors ◽  
Postal Questionnaire ◽  
Health Insurance Data ◽  
Psychological Well Being ◽  
Factors Associated ◽  
Patient Reported

ObjectivesThe aim of this study was to assess the psychological well-being and to analyse factors associated with depressive symptoms in axial spondyloarthritis (axSpA).MethodsA stratified random sample of subjects with a diagnosis of axSpA (International Classification of Diseases, Tenth Revision, German Modification M45) was drawn from health insurance data in Germany. These persons received a postal questionnaire on disease-related, psychological and lifestyle factors as well as socioeconomic status. Additional information to verify the axSpA diagnosis was also collected. The psychological well-being was assessed by means of the 5-item WHO Well-Being Index (WHO-5), which is considered a screening tool for depression. The following established cut-offs on the WHO-5 were applied: >50: good well-being, no depressive symptoms; 29–50: mild depressive symptoms; ≤28: moderate-to-severe depressive symptoms. Information on comorbidities, drug prescriptions and non-pharmacological treatment was retrieved from claims data and linked to the questionnaire data.ResultsA total of 1736 persons with a confirmed axSpA diagnosis were included. Using the cut-offs on the WHO-5, 533 persons (31%) were found to have moderate-to-severe depressive symptoms, 479 (28%) had mild depressive symptoms and 724 (42%) had a good well-being. Multivariable logistic regression revealed that higher disease activity, higher level of functional impairment, lower income, self-reported stress and lack of exercise, and younger age represent factors associated with moderate-to-severe depressive symptoms.ConclusionsThe prevalence of depressive symptoms in axSpA subjects is high and associated with disease-related parameters, socioeconomic status and lifestyle factors. These findings highlight the need for the careful evaluation of depressive symptoms as a part of the management strategy for axSpA.

Chemical prediction of water activity in processed cheese

1989 ◽  
Vol 56 (4) ◽  
pp. 665-668 ◽  
Author(s):  
María A. Esteban ◽  
Andrés Marcos
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Water Activity ◽  
Negative Correlation ◽  
Linear Regression Analysis ◽  
Significant Negative Correlation ◽  
Regression Equation ◽  
Low Fat ◽  
Two Samples ◽  
The Mean

SummaryBy linear regression analysis, a highly significant negative correlation (r = −0·96) was found between the mean ash concentration values (g/100 g moisture) and water activity (aw) of six types of processed cheeses (low-fat, semi-fat, fat, extra-fat, double fat and special). The regression equation aw = 0·9951 − 0·0032* (ash), applied to 40 cheese samples, yielded aw values which differed by < 0·005 aw units from those measured experimentally in 75% of the samples. The maximum differences between the calculated and experimental aw values (found in only two samples) were ±0·01 aw units.

scholarly journals Hospitalization costs among immobile patients with hemorrhagic or ischemic stroke in China: a multicenter cross-sectional study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Hongpeng Liu ◽  
Chen Zhu ◽  
Jing Cao ◽  
Jing Jiao ◽  
Baoyun Song ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Ischemic Stroke ◽  
Linear Regression ◽  
Average Length ◽  
Linear Regression Analysis ◽  
Hospital Charges ◽  
Hospital Level ◽  
Cross Sectional ◽  
Factors Associated ◽  
Hospitalization Costs

Abstract Background In this study, we aimed to analyze the hospitalization costs for immobile patients with hemorrhagic stroke (IHS) or ischemic stroke (IIS) in China and to determine the factors associated with hospitalization costs. Methods We evaluated patients with IHS and IIS hospitalized between November 2015 and July 2016 in six provinces or municipality cities of China. Linear regression analysis was used to examine the association with hospitalization costs and predictors. Results In total, 1573 patients with IHS and 3143 with IIS were enrolled and analyzed. For IHS and IIS, the average length of stay (LoS) was 17.40 ± 12.3 and 14.47 ± 11.55 days. The duration of immobility was 12.11 ± 9.98 and 7.36 ± 9.77 days, respectively. Median hospitalization costs were RMB 47000.68 (interquartile range 19,827.37, 91,877.09) for IHS and RMB 16578.44 (IQR 7020.13, 36,357.65) for IIS. In both IHS and IIS groups, medicine fees accounted for more than one-third of hospitalization costs. Materials fees and medical service fees accounted for the second and third largest proportions of hospital charges in both groups. Linear regression analysis showed that LoS, hospital level, and previous surgery were key determinants of hospitalization costs in all immobile patients with stroke. Subgroup analysis indicated that hospital level was highly correlated with hospitalization costs for IHS whereas pneumonia and deep vein thrombosis were key factors associated with hospitalization costs for IIS. Conclusions We found that hospitalization costs were notably higher in IHS than IIS, and medicine fees accounted for the largest proportion of hospitalization costs in both patient groups, perhaps because most patients ended up with complications such as pneumonia thereby requiring more medications. LoS and hospital level may greatly affect hospitalization costs. Increasing the reimbursement ratio of medical insurance for patients with IHS is recommended. Decreasing medicine fees and LoS, preventing complications, and improving treatment capability may help to reduce the economic burden of stroke in China.

scholarly journals Retroversion of the hemipelvis rather than hypoplastic posterior wall decreases acetabular anteversion in hips affected by Perthes disease

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Shijie Liao ◽  
Manjun Zhao ◽  
Tiantian Wang ◽  
Boxiang Li ◽  
Chengsen Lin ◽  
...  
Keyword(s):  
Linear Regression ◽  
Linear Regression Analysis ◽  
Posterior Wall ◽  
Anterior Wall ◽  
Contralateral Side ◽  
Acetabular Retroversion ◽  
Perthes Disease ◽  
Acetabular Anteversion ◽  
Anteversion Angle ◽  
The Mean

AbstractThe acetabular retroversion has a moderate incidence of 31–60% in all patients of the Perthes disease. It might be caused by posterior wall dysplasia based on recent animal researches. However, some studies support that hemipelvic retroversion is the main factor for the acetabular retroversion. The primary pathological factor of increasing retroversion angle is still controversial anatomically. This study aimed to identify whether there is acetabular retroversion in children with Perthes disease,and to find a method to distinguish version types. Forty children with unilateral Perthes disease who were admitted to our hospital from January 1, 2012 to December 31, 2018 were enrolled, and 40 controls were matched based on sex and age. The acetabular anteversion angle (AAA), internal wall anteversion angle (IWAA), anterior wall height of the acetabulum (A), acetabular posterior wall height (P), and acetabular width (W) were assessed on computed tomography (CT) at the level of the femoral head center. The acetabular wall difference index (AWDI; AWDI = P-A)/W*100) was calculated. The mean AAA was significantly lower in Perthes disease hips (10.59 (8.05–12.46)) than in contralateral hips (12.04 (9.02–13.33)) (p = 0.002) but did not differ from control hips (9.68 ± 3.76) (p = 0.465). The mean IWAA was significantly lower in Perthes hips (9.16 ± 3.89) than in contralateral hips (11.31 ± 4.04) (p = 0.000) but did not differ from control hips (9.43 ± 3.82) (p = 0.753). The mean AWDI did not differ between Perthes hips (0.41 ± 4.94) and contralateral hips (− 1.12 (− 4.50, 2.17)) (p = 0.06) or control hips (− 0.49 ± 5.46) (p = 0.437). The mean W was significantly higher in Perthes hips (44.61 ± 5.06) than in contralateral hips (43.36 ± 4.38) (p = 0.000) but did not differ from control hips (45.02 ± 5.01) (p = 0.719). The mean A and P did not differ between Perthes hips and contralateral hips or control hips. Correlation analysis of all hip joints revealed a significant correlation between AAAs and IWAAs (r = 0.772; r = 0.643; r = 0.608; and r = 0.540). Linear regression analysis revealed that AAAs increased with IWAAs. Multiple linear regression showed that IWAAs and AWDIs have good predictive value for AAAs in both Perthes and control hips (R2 = 0.842, R2 = 0.869). In patients with unilateral Perthes disease, the affected acetabulum is more retroverted than that on the contralateral side, which may be caused by hemipelvic retroversion. The measurements in this study could distinguish the form of acetabular retroversion. IWAAs and AWDIs can be used as new observations in future studies of acetabular version.

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