scholarly journals Group Analysis of Q Values Calculated with Tangential Radius of Curvature from Human Anterior Corneal Surface

2018 ◽  
Vol 2018 ◽  
pp. 1-5
Author(s):  
Zheren Xia ◽  
Chengmin Lin ◽  
Xueping Huang ◽  
Jinglu Ying ◽  
Mingguang Shi ◽  
...  
Keyword(s):  
Linear Regression ◽  
Group Analysis ◽  
Radius Of Curvature ◽  
Linear Regression Equation ◽  
Adult Group ◽  
Corneal Surface ◽  
Power Maps ◽  
Adults And Children ◽  
The Mean ◽  
Orbscan Ii

Objective. To calculate the Q values from the human anterior corneal surface with the tangential radius of curvature and analyze its distribution characteristics in different age and refractive status groups. Methods. Tangential power maps of the anterior cornea from Orbscan II were acquired for 201 subjects’ right eyes. They were divided into groups of adults and children and then divided further into subgroups according to the refraction status. The Q values of each semimeridian were calculated by the tangential radius with a linear regression equation. The Q value distribution in both the nasal cornea and temporal cornea were analyzed. Results. The mean temporal Q values of the emmetropia group of adults and all children’s groups were significantly different from the mean nasal Q value. The mean nasal corneal Q values were more negative in children. The adult group showed differences only in the low myopia group. The mean Q value of the nasal cornea among different refractive groups of children was significantly different, and so was the temporal cornea between the adult myopia and emmetropia group. Conclusion. The method using the tangential radius of curvature combined with linear regression to obtain anterior surface Q values for both adults and children was stable and reliable. When we analyzed the anterior corneal Q value, area division was necessary.

scholarly journals Clinical features and outcome of Covid-19 in individuals without Comorbidities. Do children have the advantage?

2021 ◽  
Vol 8 (2) ◽  
pp. 88-93
Author(s):  
Dr. Abhishek Kumar ◽  
◽  
Dr. Nilu Kumari ◽  
Dr. Ranjeet Kumar Singh ◽  
Dr. Alok Kumar ◽  
...  
Keyword(s):  
Severe Disease ◽  
Age Groups ◽  
Asymptomatic Infection ◽  
Healthy Individuals ◽  
Adult Group ◽  
Middle Aged ◽  
History Of ◽  
Adults And Children ◽  
The Mean ◽  
Respiratory Complaints

Objective: Information regarding clinical characteristics and the natural course of COVID-19amongst individuals without comorbidities is scarce. We therefore conducted a retrospectiveobservational study to decipher the disease profile in two different age groups, middle-aged (40-59years) and children (up to 12 years). Method: Study was conducted by reviewing the medicalrecords of all patients in the desired age groups and excluding all those with preexisting illness(called comorbidities). Result: A total of 154 and 27 patients were enrolled and studied in themiddle-aged adults and children group respectively. Males dominated in both groups with a sex ratioof 2.9 in adults and 1.7 in children. Most of the children (92.5%) had a history of exposure from aninfected family member, while in the adult group history of contact was present in 71.4% ofpatients.62.9% of children had an asymptomatic infection which was significantly higher than 22.8%in adults. Cough and fever were the most common symptoms in both age groups, but adults weremore likely to have respiratory complaints when compared with children.11 (7.1%) patients in theadult group had severe disease while in the children group none had severe disease. Similarly in theadult group 11 patients required ICU admission, but none in the children group. The mean durationof RTPCR positivity was similar in both groups. There was 1 (0.6%) expiry in the adult groupwhereas none in children. Conclusion: Healthy individuals in both middle-aged and children grouptend to have milder disease and both harbour the virus for the almost same duration but adults aremore symptomatic in comparison to children and hence children are more likely to be potentialasymptomatic carrier and transmitter of infection.

scholarly journals Comprehensive Evaluation of Anterior Corneal Change in Asphericity Calculated by the Tangential Radius of Curvature after LASIK

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Jinglu Ying ◽  
Jianqiu Cai ◽  
Leru Zhu ◽  
Yi Zha
Keyword(s):  
Comprehensive Evaluation ◽  
Radius Of Curvature ◽  
Corneal Surface ◽  
Fourth Degree ◽  
Before And After ◽  
Corneal Asphericity ◽  
Corneal Shape ◽  
Orbscan Ii ◽  
Fourier Function ◽  
Fourier Fitting

To evaluate the change in the anterior corneal asphericity (ΔQ) comprehensively calculated using the tangential radius (rt) after LASIK. Forty-two right eyes were evaluated using the Orbscan II corneal topographer. The pre- and postoperativeQ-values of the flat principal semimeridians calculated by the sagittal radius were compared to those by the tangential radius. TheQ-value of each semimeridian in the horizontal region was calculated byrt. Fourier fitting was used to model the 360-semimeridional variation ofQ-values and to fit theQ-values in the vertical region before and after surgery. There were significant differences inQ-values between the two methods before (P<0.001) and after surgery (P=0.003). A significant increase in postoperativeQ-value was detected compared to preoperativeQ-value (P<0.001) calculated byrt. The 360-semimeridional variation of theQ-values was well fitted with a third- and fourth-degree Fourier function before and after surgery. The ΔQ-value distribution presented double valley variation, with the amount of ΔQbeing lowest in the near-vertical regions and highest in the near-horizontal regions. Calculating theQ-value withrtcombined with Fourier fitting, we evaluated 360 ΔQ-values’ variation of semimeridians of the entire anterior corneal surface and then displayed true and complete anterior corneal shape after LASIK.

scholarly journals Establishing a Comprehensive Database for Patients with Sickle Cell Disease in the State of Nebraska, the First Step of Improving Their Care

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 30-31
Author(s):  
Omar Abughanimeh ◽  
Mahammed Khan Suheb ◽  
Steven Ebers ◽  
Julie Eclov ◽  
Robin High ◽  
...  
Keyword(s):  
Sickle Cell Disease ◽  
Sickle Cell ◽  
Sickle Cell Trait ◽  
Medical Center ◽  
The State ◽  
Cell Disease ◽  
Adult Group ◽  
Adults And Children ◽  
African America ◽  
The Mean

Background. Sickle cell disease (SCD) is a group of blood disorders that results from point mutations causing different hemoglobinopathies, including hemoglobin SS disease, hemoglobin SC disease, and sickle cell beta-thalassemia. According to the Centers for Disease Control and Prevention (CDC), it is estimated that SCD affects 100,000 Americans. SCD occurs among one out of every 365 African-America births, and one out of every 16,300 Hispanic births. Approximately, one in 13 African-America babies is born with sickle cell trait. Despite being a common disease, patients with SCD have less access to comprehensive team care than patients with other genetic diseases. The state of Nebraska has a population close to two million, where the three most common races are Caucasians (78.1%), Hispanic (11.4%) and African American (5.2%). Despite the racial distribution, SCD is not uncommon in Nebraska. Herein, we report the first database of SCD in the state of Nebraska by reviewing the records of the two biggest tertiary care centers in the state: The University of Nebraska Medical Center (UNMC) and Children's Hospital & Medical Center. Methods: This is a retrospective study. After an IRB approval, we retrospectively reviewed charts of 358 patients who had an ICD-10 code related to SCD and had their care at UNMC or Children's Hospital & Medical Center since January 2014. Inclusion criteria included any patient, regardless of age, who had a confirmed diagnosed of SCD regardless of the genotype. Data was collected to create a comprehensive data base for both adults and children. Children were defined as any individual who is following with pediatric hematology as an outpatient or was born on or after January 1, 2002. Results: A total of 358 patients were reviewed with 355 patients included in the study. Ninety six of them were adults with SCD (mean age of 28.9 years) while 82 were children with SCD (mean age 5.7 years), and 178 patients with sickle cell trait. Table 1 summarizes the demographics for adults and children with SCD. Only 30 out 96 patients from the adult group were employed. Sixty three adult patients were prescribed hydroxyurea compared to 32 children. Regarding simple red blood cell transfusion, the adult group had a median of 2.1 units/year (0-99.2 units/year) which was less than the pediatric group 5.8 unit/year (0-95.6). Twenty one adult patients had alloantibodies, with Anti-E as the most common , while only three children had alloantibodies. Table 2 summarizes the SCD complications for both adults and children per genotype. Our study showed that having SS genotype was associated with higher risk for acute chest syndrome (p= 0.0023) and iron overload (p=0.039). Moreover, SS genotype was predictor of more emergency room (ER) visits and admissions compared to the SC genotype. Since January 2014, the mean number for clinic visits was higher for children compared to adults (30 vs 14.3 visits, p&lt;.001). However, the mean number for ER visits was higher in adults compared to children (8.1 vs 3.8 visits, p&lt;.001). Also, adults spent more days in the hospital with a median of 20 days (1-748 days) compared to pediatrics who had a median of four days (1-94 days). The probability of admission once presenting to the ER was also higher in the adults group compared to pediatrics group (0.56 vs 0.44). During the study period, six adults patients died and none from the pediatric group. Conclusion : SCD and its complications represents a serious issue in the state of Nebraska. It is also associated with high acute health care utilization. Our study showed that most of the cases are in the urban areas of the state of Nebraska. Also, we noticed that adults have more demands and lack of care compared to children, and they also don't follow in clinics as children do. This project represents the first step in the plan to improve the care of patients with sickle cell disease in Nebraska, through establishing a comprehensive data base and a comprehensive sickle cell disease clinic for both adults and children. Disclosures Gundabolu: BioMarin: Consultancy; Bristol Myers Squibb pharmaceuticals: Consultancy.

Stimulus Ratio Effects on Speech Discrimination by Children and Adults

1991 ◽  
Vol 34 (3) ◽  
pp. 671-678 ◽  
Author(s):  
Joan E. Sussman
Keyword(s):  
Discrimination Task ◽  
Response Pattern ◽  
Response Patterns ◽  
Speech Discrimination ◽  
Adult Group ◽  
Discrimination Accuracy ◽  
Formant Frequency ◽  
Response Strategies ◽  
Place Of Articulation ◽  
Adults And Children

This investigation examined the response strategies and discrimination accuracy of adults and children aged 5–10 as the ratio of same to different trials was varied across three conditions of a “change/no-change” discrimination task. The conditions varied as follows: (a) a ratio of one-third same to two-thirds different trials (33% same), (b) an equal ratio of same to different trials (50% same), and (c) a ratio of two-thirds same to one-third different trials (67% same). Stimuli were synthetic consonant-vowel syllables that changed along a place of articulation dimension by formant frequency transition. Results showed that all subjects changed their response strategies depending on the ratio of same-to-different trials. The most lax response pattern was observed for the 50% same condition, and the most conservative pattern was observed for the 67% same condition. Adult response patterns were most conservative across condition. Differences in discrimination accuracy as measured by P(C) were found, with the largest difference in the 5- to 6-year-old group and the smallest change in the adult group. These findings suggest that children’s response strategies, like those of adults, can be manipulated by changing the ratio of same-to-different trials. Furthermore, interpretation of sensitivity measures must be referenced to task variables such as the ratio of same-to-different trials.

scholarly journals P170 The validity and utility of the SLE-key® rule-out serological test when applied in a selected cohort of patients with SLE and other connective tissue diseases

Rheumatology ◽  
2021 ◽  
Vol 60 (Supplement_1) ◽  
Author(s):  
Sheilla Achieng ◽  
John A Reynolds ◽  
Ian N Bruce ◽  
Marwan Bukhari
Keyword(s):  
Linear Regression ◽  
Connective Tissue ◽  
Connective Tissue Disease ◽  
Negative Correlation ◽  
Connective Tissue Diseases ◽  
Inflammatory Myositis ◽  
The Mean ◽  
Negative Rule ◽  
Spearman’S Correlation ◽  
Rule Out

Abstract Background/Aims  We aimed to establish the validity of the SLE-key® rule-out test and analyse its utility in distinguishing systemic lupus erythematosus (SLE) from other autoimmune rheumatic connective tissue diseases. Methods  We used data from the Lupus Extended Autoimmune Phenotype (LEAP) study, which included a representative cross-sectional sample of patients with a variety of rheumatic connective tissue diseases, including SLE, mixed connective tissue disease (MCTD), inflammatory myositis, systemic sclerosis, primary Sjögren’s syndrome and undifferentiated connective tissue disease (UCTD). The modified 1997 ACR criteria were used to classify patients with SLE. Banked serum samples were sent to Immune-Array’s CLIA- certified laboratory Veracis (Richmond, VA) for testing. Patients were assigned test scores between 0 and 1 where a score of 0 was considered a negative rule-out test (i.e. SLE cannot be excluded) whilst a score of 1 was assigned for a positive rule-out test (i.e. SLE excluded). Performance measures were used to assess the test’s validity and measures of association determined using linear regression and Spearman’s correlation. Results  Our study included a total of 155 patients of whom 66 had SLE. The mean age in the SLE group was 44.2 years (SD 13.04). 146 patients (94.1%) were female. 84 (54.2%) patients from the entire cohort had ACR SLE scores of ≤ 3 whilst 71 (45.8%) had ACR SLE scores ≥ 4. The mean ACR SLE total score for the SLE patients was 4.85 (SD 1.67), ranging from 2 to 8, with mean disease duration of 12.9 years. The Sensitivity of the SLE-Key® Rule-Out test in diagnosing SLE from other connective tissue diseases was 54.5%, specificity was 44.9%, PPV 42.4% and NPV 57.1 %. 45% of the SLE patients had a positive rule-out test. SLE could not be ruled out in 73% of the MCTD patients whilst 51% of the UCTD patients had a positive Rule-Out test and &gt;85% of the inflammatory myositis patients had a negative rule-out test. ROC analysis generated an AUC of 0.525 illustrating weak class separation capacity. Linear regression established a negative correlation between the SLE-key Rule-Out score and ACR SLE total scores. Spearman’s correlation was run to determine the relationship between ACR SLE total scores and SLE-key rule-out score and showed very weak negative correlation (rs = -0.0815, n = 155, p = 0.313). Conclusion  Our findings demonstrate that when applied in clinical practice in a rheumatology CTD clinic setting, the SLE-key® rule-out test does not accurately distinguish SLE from other CTDs. The development of a robust test that could achieve this would be pivotal. It is however important to highlight that the test was designed to distinguish healthy subjects from SLE patients and not for the purpose of differentiating SLE from other connective tissue diseases. Disclosure  S. Achieng: None. J.A. Reynolds: None. I.N. Bruce: Other; I.N.B is a National Institute for Health Research (NIHR) Senior Investigator and is funded by the NIHR Manchester Biomedical Research Centre. M. Bukhari: None.

scholarly journals The Relationship between Inflammation Markers (CRP, IL-6, sCD40L) and Colorectal Cancer Stage, Grade, Size and Location

Diagnostics ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1382
Author(s):  
Olga Martyna Koper-Lenkiewicz ◽  
Violetta Dymicka-Piekarska ◽  
Anna Justyna Milewska ◽  
Justyna Zińczuk ◽  
Joanna Kamińska
Keyword(s):  
Colorectal Cancer ◽  
Linear Regression ◽  
Tumor Size ◽  
Distal Colon ◽  
Proximal Colon ◽  
Model Parameters ◽  
Grade Group ◽  
Who Grade ◽  
The Mean ◽  
Mean Concentration

The aim of the study was the evaluation whether in primary colorectal cancer (CRC) patients (n = 55): age, sex, TNM classification results, WHO grade, tumor location (proximal colon, distal colon, rectum), tumor size, platelet count (PLT), mean platelet volume (MPV), mean platelet component (MCP), levels of carcinoembryonic antigen (CEA), cancer antigen (CA 19-9), as well as soluble lectin adhesion molecules (L-, E-, and P-selectins) may influence circulating inflammatory biomarkers: IL-6, CRP, and sCD40L. We found that CRP concentration evaluation in routine clinical practice may have an advantage as a prognostic biomarker in CRC patients, as this protein the most comprehensively reflects clinicopathological features of the tumor. Univariate linear regression analysis revealed that in CRC patients: (1) with an increase in PLT by 10 × 103/μL, the mean concentration of CRP increases by 3.4%; (2) with an increase in CA 19-9 of 1 U/mL, the mean concentration of CRP increases by 0.7%; (3) with the WHO 2 grade, the mean CRP concentration increases 3.631 times relative to the WHO 1 grade group; (4) with the WHO 3 grade, the mean CRP concentration increases by 4.916 times relative to the WHO 1 grade group; (5) with metastases (T1-4N+M+) the mean CRP concentration increases 4.183 times compared to non-metastatic patients (T1-4N0M0); (6) with a tumor located in the proximal colon, the mean concentration of CRP increases 2.175 times compared to a tumor located in the distal colon; (7) in patients with tumor size > 3 cm, the CRP concentration is about 2 times higher than in patients with tumor size ≤ 3 cm. In the multivariate linear regression model, the variables that influence the mean CRP value in CRC patients included: WHO grade and tumor localization. R2 for the created model equals 0.50, which indicates that this model explains 50% of the variance in the dependent variable. In CRC subjects: (1) with the WHO 2 grade, the mean CRP concentration rises 3.924 times relative to the WHO 1 grade; (2) with the WHO 3 grade, the mean CRP concentration increases 4.721 times in relation to the WHO 1 grade; (3) with a tumor located in the rectum, the mean CRP concentration rises 2.139 times compared to a tumor located in the distal colon; (4) with a tumor located in the proximal colon, the mean concentration of CRP increases 1.998 times compared to the tumor located in the distal colon; if other model parameters are fixed.

scholarly journals 1412. The utility of respiratory viral panel testing for nosocomial fever in the neonatal intensive care unit

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S713-S713
Author(s):  
Carlo Fopiano Palacios ◽  
Eric Lemmon ◽  
James Campbell
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Linear Regression ◽  
Length Of Stay ◽  
Neonatal Intensive Care Unit ◽  
Neonatal Intensive Care ◽  
P Value ◽  
Fisher Exact Test ◽  
The Mean ◽  
Pcr Test

Abstract Background Patients in the neonatal intensive care unit (NICU) often develop fevers during their inpatient stay. Many neonates are empirically started on antibiotics due to their fragile clinical status. We sought to evaluate whether the respiratory viral panel (RVP) PCR test is associated with use of antibiotics in patients who develop a fever in the NICU. Methods We conducted a retrospective chart review on patients admitted to the Level 4 NICU of the University of Maryland Medical Center from November 2015 to June 2018. We included all neonates who developed a fever 48 hours into their admission. We collected demographic information and data on length of stay, fever work-up and diagnostics (including labs, cultures, RVP), and antibiotic use. Descriptive statistics, Fisher exact test, linear regression, and Welch’s ANOVA were performed. Results Among 347 fever episodes, the mean age of neonates was 72.8 ± 21.6 days, and 45.2% were female. Out of 30 total RVP samples analyzed, 2 were positive (6.7%). The most common causes of fever were post-procedural (5.7%), pneumonia (4.8%), urinary tract infection (3.5%), meningitis (2.6%), bacteremia (2.3%), or due to a viral infection (2.0%). Antibiotics were started in 208 patients (60%), while 61 neonates (17.6%) were already on antibiotics. The mean length of antibiotics was 7.5 ± 0.5 days. Neonates were more likely to get started on antibiotics if they had a negative RVP compared to those without a negative RVP (89% vs. 11%, p-value &lt; 0.0001). Patients with a positive RVP had a decreased length of stay compared to those without a positive RVP (30.3 ± 8.7 vs. 96.8 ± 71.3, p-value 0.01). On multivariate linear regression, a positive RVP was not associated with length of stay. Conclusion Neonates with a negative respiratory viral PCR test were more likely to be started on antibiotics for fevers. Respiratory viral PCR testing can be used as a tool to promote antibiotic stewardship in the NICU. Disclosures All Authors: No reported disclosures

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 Comparison of corneal irregular astigmatism by the type of corneal regular astigmatism

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yuta Ueno ◽  
Risa Nomura ◽  
Takahiro Hiraoka ◽  
Katsuhito Kinoshita ◽  
Mutsuko Ohara ◽  
...  
Keyword(s):  
Higher Order ◽  
Stepwise Multiple Regression ◽  
Group Differences ◽  
Corneal Surface ◽  
Fourier Harmonic ◽  
Normal Human ◽  
The Mean ◽  
Human Eyes ◽  
Topography Data ◽  
Irregular Astigmatism

AbstractWe investigated the relation between corneal regular and irregular astigmatism in normal human eyes. In 951 eyes of 951 patients, corneal irregular astigmatism, such as asymmetry and higher-order irregularity components, was calculated using the Fourier harmonic analysis of corneal topography data within the central 3-mm zone of the anterior corneal surface. The eyes were classified by the type of corneal regular astigmatism into four groups; minimum (< 0.75 diopters), with-the-rule (WTR), against-the-rule (ATR), and oblique astigmatism. The mean age was significantly different among the four groups (P < 0.001); patients with WTR astigmatism were the youngest, followed by those with minimum, oblique, and ATR astigmatism. Significant inter-group differences were found among the four groups in asymmetry (P = 0.005) and higher-order irregularity components (P < 0.001); the largest was in eyes with oblique astigmatism, followed by ATR, WTR, and minimum astigmatism. The stepwise multiple regression analysis revealed that corneal regular astigmatism pattern significantly influenced the amount of corneal irregular astigmatism after controlling for confounding factors (P < 0.001). Corneal irregular astigmatism, such as asymmetry and higher order irregularity components, was the largest in eyes with oblique astigmatism, followed by those with ATR, WTR, and minimum astigmatism, even after adjustment for age of subjects.

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