SlideShare a Scribd company logo
1 of 1
Download to read offline
Kirk Bateman1, George W. Ousler2, Michael Watson2 , Keith J. Lane2, and Donna L. Welch2
1Statistics and Data Corporation, Tempe, AZ, USA 2Ora, Inc., Andover, MA, USA
A Mixed Model, Repeat Measure Analysis of Demographics and Dry Eye Signs and Symptom
in a Dry Eye Population
PURPOSE
A multitude of risk factors influences the likelihood of developing dry eye signs and
symptoms. A multivariate analysis was used to determine the association between
demographic characteristics of age, gender, and duration of disease with the severity of dry
eye signs and symptoms in a large population of dry eye clinical trial participants. The role
of demographics may be important when designing dry eye clinical trials.
METHODS
Subjects who had successfully completed at least one dry eye study were included in the
analysis (N = 1343). A mixed-model, repeat-measure analysis was performed to assess the
association of age, gender, and duration of disease with the severity of dry eye signs, as
measured by clinician-graded baseline corneal fluorescein staining before and after a
Controlled Adverse Environment (CAE) challenge, and with dry eye symptoms, as measured
by subject diary-reported ocular discomfort and dryness scored during a placebo run-in
period.
Figure 2. Increased duration of disease was associated with a worsening of both signs
and symptoms of dry eye.
Figure 1. Increased age is associated with a worsening of signs, as measured by
an increase in fluorescein staining.
Table 1. Significance of demographic factors and interactions: dry eye symptoms
RESULTS
The demographic criteria evaluated (age, gender, duration of disease) significantly affected
dry eye sign and symptom severity (p < 0.05). Increased age was associated with a
worsening of signs (inferior, superior, and central fluorescein staining). Increased duration
of disease was associated with a worsening of both signs and symptoms of dry eye. Female
gender was associated with a worsening of both clinical signs and a worsening of
symptoms. There was a significant interaction between gender and duration of dry eye
disease, with symptoms worsening with duration of disease among females.
CONCLUSIONS
The results of this study demonstrate clear associations between the demographic
characteristics of age, gender, and duration of disease, and the severity of dry eye signs and
symptoms. The findings of worsening of signs in older patients and with longer duration of
disease are consistent with the literature. Increased severity of dry eye signs and symptoms
in females is also consistent with previous findings. All three demographic criteria should be
carefully considered in clinical trial design.
Table 2. Significance of demographic factors and interactions: dry eye signs
Where there was statistical significance, staining was greater among females and increased as age and duration of disease
increase. †Change in staining increased as duration of disease increased, and decreased slightly as age increased.
†Symptoms increased with duration of disease in females, and remained constant as duration of disease increased in males.
4484-A0110
Staining Region/Time Point Demographic Effect P-value Interactions
Inferior / Pre-CAE
Sex 0.0056
No significant
interactions
Age < 0.0001
Duration of disease 0.0326
Inferior / Post-CAE
Sex 0.0030
No significant
interactionsAge < 0.0001
Duration of disease < 0.0001
Inferior / Change
(Post-Pre) CAE
Sex 0.3632
Age*Duration
(p=0.0161)†Age 0.4045
Duration of disease 0.0110
Superior / Pre-CAE
Sex 0.4163
No significant
interactionsAge 0.7539
Duration of disease < 0.0001
Superior / Post-CAE
Sex 0.3066
No significant
interactionsAge 0.0017
Duration of disease 0.0004
Superior / Change
(Post-Pre) CAE
Sex 0.0007
No significant
interactionsAge < 0.0001
Duration of disease 0.5214
Central / Pre-CAE
Sex < 0.0001
No significant
interactionsAge < 0.0001
Duration of disease 0.0265
Central / Post-CAE
Sex < 0.0001
No significant
interactionsAge < 0.0001
Duration of disease 0.1718
Central / Change
(Post-Pre) CAE
Sex 0.6214
No significant
interactionsAge 0.0039
Duration of disease 0.2185
Symptom Demographic Effect p-value Interactions
Run-in dryness Sex 0.0592 Sex*Duration
(p=0.0149)†
Age 0.0877
Duration of disease 0.0002
Run-in Ocular
Discomfort
Sex 0.1290 Sex*Duration
(p=0.0022)†
Age 0.1975
Duration of disease 0.0117

More Related Content

What's hot

What's hot (12)

From association to causation
From association to causationFrom association to causation
From association to causation
 
Association and causation
Association and causationAssociation and causation
Association and causation
 
Association & causation (2016)
Association & causation (2016)Association & causation (2016)
Association & causation (2016)
 
Causal Association
Causal AssociationCausal Association
Causal Association
 
HIV-1
HIV-1HIV-1
HIV-1
 
Impact of being overweight in women with asthma
Impact of being overweight in women with asthmaImpact of being overweight in women with asthma
Impact of being overweight in women with asthma
 
Communicable Diseases
Communicable DiseasesCommunicable Diseases
Communicable Diseases
 
Austin Journal of Public Health and Epidemiology
Austin Journal of Public Health and EpidemiologyAustin Journal of Public Health and Epidemiology
Austin Journal of Public Health and Epidemiology
 
Hanipsych, poster
Hanipsych, posterHanipsych, poster
Hanipsych, poster
 
Brief Look at Association vs causation
Brief Look at Association vs causationBrief Look at Association vs causation
Brief Look at Association vs causation
 
Dr Megha Luthra
Dr Megha LuthraDr Megha Luthra
Dr Megha Luthra
 
Causation
CausationCausation
Causation
 

Similar to A Mixed Model, Repeated Measure Analysis of Demographics and Dry Eye Signs and Symptoms in a Dry Eye Population - ARVO 2015 Poster - Kirk Bateman

ARVO 2015 Poster Presentation by Kirk Bateman, Director, Biostatistics
ARVO 2015 Poster Presentation by Kirk Bateman, Director, BiostatisticsARVO 2015 Poster Presentation by Kirk Bateman, Director, Biostatistics
ARVO 2015 Poster Presentation by Kirk Bateman, Director, BiostatisticsStatistics & Data Corporation
 
Variables confounding
Variables confoundingVariables confounding
Variables confoundingDRSPRAO
 
A Study on Mood Disorders in Acne among Patients Attending Skin Opd
A Study on Mood Disorders in Acne among Patients Attending Skin OpdA Study on Mood Disorders in Acne among Patients Attending Skin Opd
A Study on Mood Disorders in Acne among Patients Attending Skin Opdiosrjce
 
An understanding of the factors surrounding women’s and men’s h.docx
An understanding of the factors surrounding women’s and men’s h.docxAn understanding of the factors surrounding women’s and men’s h.docx
An understanding of the factors surrounding women’s and men’s h.docxgreg1eden90113
 
Epidemiology of gingival &amp; periodontal diseases
Epidemiology of gingival &amp; periodontal diseasesEpidemiology of gingival &amp; periodontal diseases
Epidemiology of gingival &amp; periodontal diseasesChetan Basnet
 
PREVALENCE OF DEPRESSION AND ITS ASSOCIATED FACTORS IN ADULTS WITH DIABETES M...
PREVALENCE OF DEPRESSION AND ITS ASSOCIATED FACTORS IN ADULTS WITH DIABETES M...PREVALENCE OF DEPRESSION AND ITS ASSOCIATED FACTORS IN ADULTS WITH DIABETES M...
PREVALENCE OF DEPRESSION AND ITS ASSOCIATED FACTORS IN ADULTS WITH DIABETES M...pijans
 
Review article ingles
Review article inglesReview article ingles
Review article inglesManuel Diaz
 
Cross-sectional study on prevalence of psychological comorbidity in patients ...
Cross-sectional study on prevalence of psychological comorbidity in patients ...Cross-sectional study on prevalence of psychological comorbidity in patients ...
Cross-sectional study on prevalence of psychological comorbidity in patients ...komalicarol
 
Study of the relation between testosterone levels and the severity of acne vu...
Study of the relation between testosterone levels and the severity of acne vu...Study of the relation between testosterone levels and the severity of acne vu...
Study of the relation between testosterone levels and the severity of acne vu...BRNSS Publication Hub
 
Indicators of acute otitis media severity - Prof. Tal Marom
Indicators of acute otitis media severity - Prof. Tal MaromIndicators of acute otitis media severity - Prof. Tal Marom
Indicators of acute otitis media severity - Prof. Tal MaromWAidid
 
An understanding of the cardiovascular and respiratory systems is a .docx
An understanding of the cardiovascular and respiratory systems is a .docxAn understanding of the cardiovascular and respiratory systems is a .docx
An understanding of the cardiovascular and respiratory systems is a .docxgreg1eden90113
 
Introduction to epidemiology
Introduction to epidemiologyIntroduction to epidemiology
Introduction to epidemiologymlogaraj
 
Childhood and later-onset vitiligo have diverse
Childhood  and later-onset vitiligo have diverseChildhood  and later-onset vitiligo have diverse
Childhood and later-onset vitiligo have diversetloanphan
 
Descriptive epidemiology
Descriptive epidemiologyDescriptive epidemiology
Descriptive epidemiologyDocdhingra
 
Epidemiology of gingival & periodontal diseases in children
Epidemiology of gingival & periodontal diseases in childrenEpidemiology of gingival & periodontal diseases in children
Epidemiology of gingival & periodontal diseases in childrenDrSusmita Shah
 

Similar to A Mixed Model, Repeated Measure Analysis of Demographics and Dry Eye Signs and Symptoms in a Dry Eye Population - ARVO 2015 Poster - Kirk Bateman (20)

ARVO 2015 Poster Presentation by Kirk Bateman, Director, Biostatistics
ARVO 2015 Poster Presentation by Kirk Bateman, Director, BiostatisticsARVO 2015 Poster Presentation by Kirk Bateman, Director, Biostatistics
ARVO 2015 Poster Presentation by Kirk Bateman, Director, Biostatistics
 
Variables confounding
Variables confoundingVariables confounding
Variables confounding
 
Ruchi Pancholy Dengue PPT
Ruchi Pancholy Dengue PPTRuchi Pancholy Dengue PPT
Ruchi Pancholy Dengue PPT
 
A Study on Mood Disorders in Acne among Patients Attending Skin Opd
A Study on Mood Disorders in Acne among Patients Attending Skin OpdA Study on Mood Disorders in Acne among Patients Attending Skin Opd
A Study on Mood Disorders in Acne among Patients Attending Skin Opd
 
An understanding of the factors surrounding women’s and men’s h.docx
An understanding of the factors surrounding women’s and men’s h.docxAn understanding of the factors surrounding women’s and men’s h.docx
An understanding of the factors surrounding women’s and men’s h.docx
 
Epidemiology of gingival &amp; periodontal diseases
Epidemiology of gingival &amp; periodontal diseasesEpidemiology of gingival &amp; periodontal diseases
Epidemiology of gingival &amp; periodontal diseases
 
PREVALENCE OF DEPRESSION AND ITS ASSOCIATED FACTORS IN ADULTS WITH DIABETES M...
PREVALENCE OF DEPRESSION AND ITS ASSOCIATED FACTORS IN ADULTS WITH DIABETES M...PREVALENCE OF DEPRESSION AND ITS ASSOCIATED FACTORS IN ADULTS WITH DIABETES M...
PREVALENCE OF DEPRESSION AND ITS ASSOCIATED FACTORS IN ADULTS WITH DIABETES M...
 
Review article ingles
Review article inglesReview article ingles
Review article ingles
 
Cross-sectional study on prevalence of psychological comorbidity in patients ...
Cross-sectional study on prevalence of psychological comorbidity in patients ...Cross-sectional study on prevalence of psychological comorbidity in patients ...
Cross-sectional study on prevalence of psychological comorbidity in patients ...
 
Study of the relation between testosterone levels and the severity of acne vu...
Study of the relation between testosterone levels and the severity of acne vu...Study of the relation between testosterone levels and the severity of acne vu...
Study of the relation between testosterone levels and the severity of acne vu...
 
risk assessment
risk assessmentrisk assessment
risk assessment
 
Indicators of acute otitis media severity - Prof. Tal Marom
Indicators of acute otitis media severity - Prof. Tal MaromIndicators of acute otitis media severity - Prof. Tal Marom
Indicators of acute otitis media severity - Prof. Tal Marom
 
Epidemiology Depuk sir_ 1,2,3 chapter,OK
Epidemiology Depuk sir_ 1,2,3 chapter,OKEpidemiology Depuk sir_ 1,2,3 chapter,OK
Epidemiology Depuk sir_ 1,2,3 chapter,OK
 
An understanding of the cardiovascular and respiratory systems is a .docx
An understanding of the cardiovascular and respiratory systems is a .docxAn understanding of the cardiovascular and respiratory systems is a .docx
An understanding of the cardiovascular and respiratory systems is a .docx
 
Introduction to epidemiology
Introduction to epidemiologyIntroduction to epidemiology
Introduction to epidemiology
 
Mpv msv final
Mpv msv  finalMpv msv  final
Mpv msv final
 
Childhood and later-onset vitiligo have diverse
Childhood  and later-onset vitiligo have diverseChildhood  and later-onset vitiligo have diverse
Childhood and later-onset vitiligo have diverse
 
Descriptive epidemiology
Descriptive epidemiologyDescriptive epidemiology
Descriptive epidemiology
 
Epidemiology of gingival & periodontal diseases in children
Epidemiology of gingival & periodontal diseases in childrenEpidemiology of gingival & periodontal diseases in children
Epidemiology of gingival & periodontal diseases in children
 
Risk assessment
Risk assessmentRisk assessment
Risk assessment
 

More from Statistics & Data Corporation

Handling of Missing Data in Clinical Trials for Non-Statisticians
Handling of Missing Data in Clinical Trials for Non-StatisticiansHandling of Missing Data in Clinical Trials for Non-Statisticians
Handling of Missing Data in Clinical Trials for Non-StatisticiansStatistics & Data Corporation
 
Webinar | Site Relationships: Why They Matter and How to Foster Them 1-31-17
Webinar | Site Relationships: Why They Matter and How to Foster Them 1-31-17Webinar | Site Relationships: Why They Matter and How to Foster Them 1-31-17
Webinar | Site Relationships: Why They Matter and How to Foster Them 1-31-17Statistics & Data Corporation
 
Webinar: How to Ace Your SaaS-based EDC System Validation for Sponsors and CROs
Webinar: How to Ace Your SaaS-based EDC System Validation for Sponsors and CROsWebinar: How to Ace Your SaaS-based EDC System Validation for Sponsors and CROs
Webinar: How to Ace Your SaaS-based EDC System Validation for Sponsors and CROsStatistics & Data Corporation
 
Understanding Statistical Power for Non-Statisticians
Understanding Statistical Power for Non-StatisticiansUnderstanding Statistical Power for Non-Statisticians
Understanding Statistical Power for Non-StatisticiansStatistics & Data Corporation
 
iMedNet EDC Maximizes eClinical Development Process Efficiency
iMedNet EDC Maximizes eClinical Development Process EfficiencyiMedNet EDC Maximizes eClinical Development Process Efficiency
iMedNet EDC Maximizes eClinical Development Process EfficiencyStatistics & Data Corporation
 
Retina Today (Nov-Dec 2014): The Clinical Data Management Process
Retina Today (Nov-Dec 2014): The Clinical Data Management ProcessRetina Today (Nov-Dec 2014): The Clinical Data Management Process
Retina Today (Nov-Dec 2014): The Clinical Data Management ProcessStatistics & Data Corporation
 
"Efficacy and Safety of Treatment with an Anti‐M2e Monoclonal Antibody in Exp...
"Efficacy and Safety of Treatment with an Anti‐M2e Monoclonal Antibody in Exp..."Efficacy and Safety of Treatment with an Anti‐M2e Monoclonal Antibody in Exp...
"Efficacy and Safety of Treatment with an Anti‐M2e Monoclonal Antibody in Exp...Statistics & Data Corporation
 
Shannon Labout Presenting at MAGI Clinical Research Conference - Las Vegas, 2...
Shannon Labout Presenting at MAGI Clinical Research Conference - Las Vegas, 2...Shannon Labout Presenting at MAGI Clinical Research Conference - Las Vegas, 2...
Shannon Labout Presenting at MAGI Clinical Research Conference - Las Vegas, 2...Statistics & Data Corporation
 

More from Statistics & Data Corporation (11)

Handling of Missing Data in Clinical Trials for Non-Statisticians
Handling of Missing Data in Clinical Trials for Non-StatisticiansHandling of Missing Data in Clinical Trials for Non-Statisticians
Handling of Missing Data in Clinical Trials for Non-Statisticians
 
Webinar | Site Relationships: Why They Matter and How to Foster Them 1-31-17
Webinar | Site Relationships: Why They Matter and How to Foster Them 1-31-17Webinar | Site Relationships: Why They Matter and How to Foster Them 1-31-17
Webinar | Site Relationships: Why They Matter and How to Foster Them 1-31-17
 
Webinar: How to Ace Your SaaS-based EDC System Validation for Sponsors and CROs
Webinar: How to Ace Your SaaS-based EDC System Validation for Sponsors and CROsWebinar: How to Ace Your SaaS-based EDC System Validation for Sponsors and CROs
Webinar: How to Ace Your SaaS-based EDC System Validation for Sponsors and CROs
 
Understanding Statistical Power for Non-Statisticians
Understanding Statistical Power for Non-StatisticiansUnderstanding Statistical Power for Non-Statisticians
Understanding Statistical Power for Non-Statisticians
 
iMedNet EDC Maximizes eClinical Development Process Efficiency
iMedNet EDC Maximizes eClinical Development Process EfficiencyiMedNet EDC Maximizes eClinical Development Process Efficiency
iMedNet EDC Maximizes eClinical Development Process Efficiency
 
Retina Today (Nov-Dec 2014): The Clinical Data Management Process
Retina Today (Nov-Dec 2014): The Clinical Data Management ProcessRetina Today (Nov-Dec 2014): The Clinical Data Management Process
Retina Today (Nov-Dec 2014): The Clinical Data Management Process
 
"Efficacy and Safety of Treatment with an Anti‐M2e Monoclonal Antibody in Exp...
"Efficacy and Safety of Treatment with an Anti‐M2e Monoclonal Antibody in Exp..."Efficacy and Safety of Treatment with an Anti‐M2e Monoclonal Antibody in Exp...
"Efficacy and Safety of Treatment with an Anti‐M2e Monoclonal Antibody in Exp...
 
Shannon Labout Presenting at MAGI Clinical Research Conference - Las Vegas, 2...
Shannon Labout Presenting at MAGI Clinical Research Conference - Las Vegas, 2...Shannon Labout Presenting at MAGI Clinical Research Conference - Las Vegas, 2...
Shannon Labout Presenting at MAGI Clinical Research Conference - Las Vegas, 2...
 
SDC Booth June 2013
SDC Booth June 2013SDC Booth June 2013
SDC Booth June 2013
 
SDTM and CDASH Training with Shannon Labout
SDTM and CDASH Training with Shannon LaboutSDTM and CDASH Training with Shannon Labout
SDTM and CDASH Training with Shannon Labout
 
What We Need to Know About CDISC
What We Need to Know About CDISCWhat We Need to Know About CDISC
What We Need to Know About CDISC
 

Recently uploaded

Call Girls Service Pune Vaishnavi 9907093804 Short 1500 Night 6000 Best call ...
Call Girls Service Pune Vaishnavi 9907093804 Short 1500 Night 6000 Best call ...Call Girls Service Pune Vaishnavi 9907093804 Short 1500 Night 6000 Best call ...
Call Girls Service Pune Vaishnavi 9907093804 Short 1500 Night 6000 Best call ...Miss joya
 
Call Girls Darjeeling Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Darjeeling Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Darjeeling Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Darjeeling Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 
CALL ON ➥9907093804 🔝 Call Girls Baramati ( Pune) Girls Service
CALL ON ➥9907093804 🔝 Call Girls Baramati ( Pune)  Girls ServiceCALL ON ➥9907093804 🔝 Call Girls Baramati ( Pune)  Girls Service
CALL ON ➥9907093804 🔝 Call Girls Baramati ( Pune) Girls ServiceMiss joya
 
VIP Call Girls Pune Vani 9907093804 Short 1500 Night 6000 Best call girls Ser...
VIP Call Girls Pune Vani 9907093804 Short 1500 Night 6000 Best call girls Ser...VIP Call Girls Pune Vani 9907093804 Short 1500 Night 6000 Best call girls Ser...
VIP Call Girls Pune Vani 9907093804 Short 1500 Night 6000 Best call girls Ser...Miss joya
 
Artifacts in Nuclear Medicine with Identifying and resolving artifacts.
Artifacts in Nuclear Medicine with Identifying and resolving artifacts.Artifacts in Nuclear Medicine with Identifying and resolving artifacts.
Artifacts in Nuclear Medicine with Identifying and resolving artifacts.MiadAlsulami
 
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...jageshsingh5554
 
Bangalore Call Girl Whatsapp Number 100% Complete Your Sexual Needs
Bangalore Call Girl Whatsapp Number 100% Complete Your Sexual NeedsBangalore Call Girl Whatsapp Number 100% Complete Your Sexual Needs
Bangalore Call Girl Whatsapp Number 100% Complete Your Sexual NeedsGfnyt
 
Call Girls Horamavu WhatsApp Number 7001035870 Meeting With Bangalore Escorts
Call Girls Horamavu WhatsApp Number 7001035870 Meeting With Bangalore EscortsCall Girls Horamavu WhatsApp Number 7001035870 Meeting With Bangalore Escorts
Call Girls Horamavu WhatsApp Number 7001035870 Meeting With Bangalore Escortsvidya singh
 
Russian Call Girls in Pune Riya 9907093804 Short 1500 Night 6000 Best call gi...
Russian Call Girls in Pune Riya 9907093804 Short 1500 Night 6000 Best call gi...Russian Call Girls in Pune Riya 9907093804 Short 1500 Night 6000 Best call gi...
Russian Call Girls in Pune Riya 9907093804 Short 1500 Night 6000 Best call gi...Miss joya
 
Premium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort Service
Premium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort ServicePremium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort Service
Premium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort Servicevidya singh
 
Call Girls Colaba Mumbai ❤️ 9920874524 👈 Cash on Delivery
Call Girls Colaba Mumbai ❤️ 9920874524 👈 Cash on DeliveryCall Girls Colaba Mumbai ❤️ 9920874524 👈 Cash on Delivery
Call Girls Colaba Mumbai ❤️ 9920874524 👈 Cash on Deliverynehamumbai
 
VIP Call Girls Indore Kirti 💚😋 9256729539 🚀 Indore Escorts
VIP Call Girls Indore Kirti 💚😋  9256729539 🚀 Indore EscortsVIP Call Girls Indore Kirti 💚😋  9256729539 🚀 Indore Escorts
VIP Call Girls Indore Kirti 💚😋 9256729539 🚀 Indore Escortsaditipandeya
 
Russian Escorts Girls Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls Delhi
Russian Escorts Girls  Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls DelhiRussian Escorts Girls  Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls Delhi
Russian Escorts Girls Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls DelhiAlinaDevecerski
 
Call Girls Service Navi Mumbai Samaira 8617697112 Independent Escort Service ...
Call Girls Service Navi Mumbai Samaira 8617697112 Independent Escort Service ...Call Girls Service Navi Mumbai Samaira 8617697112 Independent Escort Service ...
Call Girls Service Navi Mumbai Samaira 8617697112 Independent Escort Service ...Call girls in Ahmedabad High profile
 
VIP Call Girls Tirunelveli Aaradhya 8250192130 Independent Escort Service Tir...
VIP Call Girls Tirunelveli Aaradhya 8250192130 Independent Escort Service Tir...VIP Call Girls Tirunelveli Aaradhya 8250192130 Independent Escort Service Tir...
VIP Call Girls Tirunelveli Aaradhya 8250192130 Independent Escort Service Tir...narwatsonia7
 
Bangalore Call Girls Marathahalli 📞 9907093804 High Profile Service 100% Safe
Bangalore Call Girls Marathahalli 📞 9907093804 High Profile Service 100% SafeBangalore Call Girls Marathahalli 📞 9907093804 High Profile Service 100% Safe
Bangalore Call Girls Marathahalli 📞 9907093804 High Profile Service 100% Safenarwatsonia7
 
Call Girls Cuttack Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Cuttack Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Cuttack Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Cuttack Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 
♛VVIP Hyderabad Call Girls Chintalkunta🖕7001035870🖕Riya Kappor Top Call Girl ...
♛VVIP Hyderabad Call Girls Chintalkunta🖕7001035870🖕Riya Kappor Top Call Girl ...♛VVIP Hyderabad Call Girls Chintalkunta🖕7001035870🖕Riya Kappor Top Call Girl ...
♛VVIP Hyderabad Call Girls Chintalkunta🖕7001035870🖕Riya Kappor Top Call Girl ...astropune
 

Recently uploaded (20)

Call Girls Service Pune Vaishnavi 9907093804 Short 1500 Night 6000 Best call ...
Call Girls Service Pune Vaishnavi 9907093804 Short 1500 Night 6000 Best call ...Call Girls Service Pune Vaishnavi 9907093804 Short 1500 Night 6000 Best call ...
Call Girls Service Pune Vaishnavi 9907093804 Short 1500 Night 6000 Best call ...
 
Call Girls Darjeeling Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Darjeeling Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Darjeeling Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Darjeeling Just Call 9907093804 Top Class Call Girl Service Available
 
Escort Service Call Girls In Sarita Vihar,, 99530°56974 Delhi NCR
Escort Service Call Girls In Sarita Vihar,, 99530°56974 Delhi NCREscort Service Call Girls In Sarita Vihar,, 99530°56974 Delhi NCR
Escort Service Call Girls In Sarita Vihar,, 99530°56974 Delhi NCR
 
CALL ON ➥9907093804 🔝 Call Girls Baramati ( Pune) Girls Service
CALL ON ➥9907093804 🔝 Call Girls Baramati ( Pune)  Girls ServiceCALL ON ➥9907093804 🔝 Call Girls Baramati ( Pune)  Girls Service
CALL ON ➥9907093804 🔝 Call Girls Baramati ( Pune) Girls Service
 
VIP Call Girls Pune Vani 9907093804 Short 1500 Night 6000 Best call girls Ser...
VIP Call Girls Pune Vani 9907093804 Short 1500 Night 6000 Best call girls Ser...VIP Call Girls Pune Vani 9907093804 Short 1500 Night 6000 Best call girls Ser...
VIP Call Girls Pune Vani 9907093804 Short 1500 Night 6000 Best call girls Ser...
 
sauth delhi call girls in Bhajanpura 🔝 9953056974 🔝 escort Service
sauth delhi call girls in Bhajanpura 🔝 9953056974 🔝 escort Servicesauth delhi call girls in Bhajanpura 🔝 9953056974 🔝 escort Service
sauth delhi call girls in Bhajanpura 🔝 9953056974 🔝 escort Service
 
Artifacts in Nuclear Medicine with Identifying and resolving artifacts.
Artifacts in Nuclear Medicine with Identifying and resolving artifacts.Artifacts in Nuclear Medicine with Identifying and resolving artifacts.
Artifacts in Nuclear Medicine with Identifying and resolving artifacts.
 
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...
VIP Service Call Girls Sindhi Colony 📳 7877925207 For 18+ VIP Call Girl At Th...
 
Bangalore Call Girl Whatsapp Number 100% Complete Your Sexual Needs
Bangalore Call Girl Whatsapp Number 100% Complete Your Sexual NeedsBangalore Call Girl Whatsapp Number 100% Complete Your Sexual Needs
Bangalore Call Girl Whatsapp Number 100% Complete Your Sexual Needs
 
Call Girls Horamavu WhatsApp Number 7001035870 Meeting With Bangalore Escorts
Call Girls Horamavu WhatsApp Number 7001035870 Meeting With Bangalore EscortsCall Girls Horamavu WhatsApp Number 7001035870 Meeting With Bangalore Escorts
Call Girls Horamavu WhatsApp Number 7001035870 Meeting With Bangalore Escorts
 
Russian Call Girls in Pune Riya 9907093804 Short 1500 Night 6000 Best call gi...
Russian Call Girls in Pune Riya 9907093804 Short 1500 Night 6000 Best call gi...Russian Call Girls in Pune Riya 9907093804 Short 1500 Night 6000 Best call gi...
Russian Call Girls in Pune Riya 9907093804 Short 1500 Night 6000 Best call gi...
 
Premium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort Service
Premium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort ServicePremium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort Service
Premium Call Girls Cottonpet Whatsapp 7001035870 Independent Escort Service
 
Call Girls Colaba Mumbai ❤️ 9920874524 👈 Cash on Delivery
Call Girls Colaba Mumbai ❤️ 9920874524 👈 Cash on DeliveryCall Girls Colaba Mumbai ❤️ 9920874524 👈 Cash on Delivery
Call Girls Colaba Mumbai ❤️ 9920874524 👈 Cash on Delivery
 
VIP Call Girls Indore Kirti 💚😋 9256729539 🚀 Indore Escorts
VIP Call Girls Indore Kirti 💚😋  9256729539 🚀 Indore EscortsVIP Call Girls Indore Kirti 💚😋  9256729539 🚀 Indore Escorts
VIP Call Girls Indore Kirti 💚😋 9256729539 🚀 Indore Escorts
 
Russian Escorts Girls Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls Delhi
Russian Escorts Girls  Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls DelhiRussian Escorts Girls  Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls Delhi
Russian Escorts Girls Nehru Place ZINATHI 🔝9711199012 ☪ 24/7 Call Girls Delhi
 
Call Girls Service Navi Mumbai Samaira 8617697112 Independent Escort Service ...
Call Girls Service Navi Mumbai Samaira 8617697112 Independent Escort Service ...Call Girls Service Navi Mumbai Samaira 8617697112 Independent Escort Service ...
Call Girls Service Navi Mumbai Samaira 8617697112 Independent Escort Service ...
 
VIP Call Girls Tirunelveli Aaradhya 8250192130 Independent Escort Service Tir...
VIP Call Girls Tirunelveli Aaradhya 8250192130 Independent Escort Service Tir...VIP Call Girls Tirunelveli Aaradhya 8250192130 Independent Escort Service Tir...
VIP Call Girls Tirunelveli Aaradhya 8250192130 Independent Escort Service Tir...
 
Bangalore Call Girls Marathahalli 📞 9907093804 High Profile Service 100% Safe
Bangalore Call Girls Marathahalli 📞 9907093804 High Profile Service 100% SafeBangalore Call Girls Marathahalli 📞 9907093804 High Profile Service 100% Safe
Bangalore Call Girls Marathahalli 📞 9907093804 High Profile Service 100% Safe
 
Call Girls Cuttack Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Cuttack Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Cuttack Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Cuttack Just Call 9907093804 Top Class Call Girl Service Available
 
♛VVIP Hyderabad Call Girls Chintalkunta🖕7001035870🖕Riya Kappor Top Call Girl ...
♛VVIP Hyderabad Call Girls Chintalkunta🖕7001035870🖕Riya Kappor Top Call Girl ...♛VVIP Hyderabad Call Girls Chintalkunta🖕7001035870🖕Riya Kappor Top Call Girl ...
♛VVIP Hyderabad Call Girls Chintalkunta🖕7001035870🖕Riya Kappor Top Call Girl ...
 

A Mixed Model, Repeated Measure Analysis of Demographics and Dry Eye Signs and Symptoms in a Dry Eye Population - ARVO 2015 Poster - Kirk Bateman

  • 1. Kirk Bateman1, George W. Ousler2, Michael Watson2 , Keith J. Lane2, and Donna L. Welch2 1Statistics and Data Corporation, Tempe, AZ, USA 2Ora, Inc., Andover, MA, USA A Mixed Model, Repeat Measure Analysis of Demographics and Dry Eye Signs and Symptom in a Dry Eye Population PURPOSE A multitude of risk factors influences the likelihood of developing dry eye signs and symptoms. A multivariate analysis was used to determine the association between demographic characteristics of age, gender, and duration of disease with the severity of dry eye signs and symptoms in a large population of dry eye clinical trial participants. The role of demographics may be important when designing dry eye clinical trials. METHODS Subjects who had successfully completed at least one dry eye study were included in the analysis (N = 1343). A mixed-model, repeat-measure analysis was performed to assess the association of age, gender, and duration of disease with the severity of dry eye signs, as measured by clinician-graded baseline corneal fluorescein staining before and after a Controlled Adverse Environment (CAE) challenge, and with dry eye symptoms, as measured by subject diary-reported ocular discomfort and dryness scored during a placebo run-in period. Figure 2. Increased duration of disease was associated with a worsening of both signs and symptoms of dry eye. Figure 1. Increased age is associated with a worsening of signs, as measured by an increase in fluorescein staining. Table 1. Significance of demographic factors and interactions: dry eye symptoms RESULTS The demographic criteria evaluated (age, gender, duration of disease) significantly affected dry eye sign and symptom severity (p < 0.05). Increased age was associated with a worsening of signs (inferior, superior, and central fluorescein staining). Increased duration of disease was associated with a worsening of both signs and symptoms of dry eye. Female gender was associated with a worsening of both clinical signs and a worsening of symptoms. There was a significant interaction between gender and duration of dry eye disease, with symptoms worsening with duration of disease among females. CONCLUSIONS The results of this study demonstrate clear associations between the demographic characteristics of age, gender, and duration of disease, and the severity of dry eye signs and symptoms. The findings of worsening of signs in older patients and with longer duration of disease are consistent with the literature. Increased severity of dry eye signs and symptoms in females is also consistent with previous findings. All three demographic criteria should be carefully considered in clinical trial design. Table 2. Significance of demographic factors and interactions: dry eye signs Where there was statistical significance, staining was greater among females and increased as age and duration of disease increase. †Change in staining increased as duration of disease increased, and decreased slightly as age increased. †Symptoms increased with duration of disease in females, and remained constant as duration of disease increased in males. 4484-A0110 Staining Region/Time Point Demographic Effect P-value Interactions Inferior / Pre-CAE Sex 0.0056 No significant interactions Age < 0.0001 Duration of disease 0.0326 Inferior / Post-CAE Sex 0.0030 No significant interactionsAge < 0.0001 Duration of disease < 0.0001 Inferior / Change (Post-Pre) CAE Sex 0.3632 Age*Duration (p=0.0161)†Age 0.4045 Duration of disease 0.0110 Superior / Pre-CAE Sex 0.4163 No significant interactionsAge 0.7539 Duration of disease < 0.0001 Superior / Post-CAE Sex 0.3066 No significant interactionsAge 0.0017 Duration of disease 0.0004 Superior / Change (Post-Pre) CAE Sex 0.0007 No significant interactionsAge < 0.0001 Duration of disease 0.5214 Central / Pre-CAE Sex < 0.0001 No significant interactionsAge < 0.0001 Duration of disease 0.0265 Central / Post-CAE Sex < 0.0001 No significant interactionsAge < 0.0001 Duration of disease 0.1718 Central / Change (Post-Pre) CAE Sex 0.6214 No significant interactionsAge 0.0039 Duration of disease 0.2185 Symptom Demographic Effect p-value Interactions Run-in dryness Sex 0.0592 Sex*Duration (p=0.0149)† Age 0.0877 Duration of disease 0.0002 Run-in Ocular Discomfort Sex 0.1290 Sex*Duration (p=0.0022)† Age 0.1975 Duration of disease 0.0117