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Quality of life and sleep disorders in elderly
Abstracts / Sleep Medicine 14S (2013) e239–e317
without any peculiarities (was normal). Both eyes with open angle and some mesodermal remnants at the trabecular meshwork at the gonioscopy. A Polisomnography for OSAS was performed successfully. Results: The target IOP < 11 mmHg reached in all the control with Timolol and Dorzolamide and Bimatoprost (not advised in OSAS Brimonidine and had used without good tolerance when it was referred to). The patients began treatment with an air generator (CPAP) during the night well tolerated (something very difficult to achieve),stabilizing the visual fields (until December 2012 ) and RNFL OCT.In our series (n 41), the average age was 62.5, 39% did not know that they suffered from glaucoma and 56% did not know they had OSAS. The 35.8% patients had glaucoma associated with Plateau Iris, the 23% Pseudoexfoliation Glaucoma, 20.5% Open-angle glaucoma, 12.8% Low tension Glaucoma and 7.7% Primary angle-closure glaucoma. The OSA Index,was mild to moderate. Conclusion: In OSAS there’s an alteration of the optic nerve irrigation which is of great importance for the development and progression of the glaucoma. Most of our population don’t know Glaucoma– apnea Association. In a high percentage on the apnea/ hypopnea Index,was mild to moderate. That is why the emphasis must be put on its treatment. In the same way, in patients with OSAS, the focus must be on detection of glaucoma, as the prevalence in this group is higher, especially associated with Plateau Iris. Our results are different from literature reviewed. We must work in an interdisciplinary team with physicians in Neurology and Pneumonology to improve and/or stop the progression in these patients. Very low IOP Target is recommend for this group. Acknowledgement: Carolina Cuello Ortiz.
http://dx.doi.org/10.1016/j.sleep.2013.11.712
Polysomnographic characteristics of sleep in old age patients S. Valiensi 1, S. Maggi 1, P. Leon 1, E. Cristiano 1, C. Lucero 2 1 Hospital Italiano de Buenos Aires, Hospital Privado de Córdoba, Argentina 2 Hospital Privado de Cordoba Argentina, Argentina
Introduction: Sleep disorders increase and change with age. However, these are insufficiently researched and in some cases ignored. Objective: To describe the polysomnographic (PSG) findings in patients over 65 years old, analyzing and comparing these findings in different age groups (G) between them. Materials and methods: Descriptive study analyzing the information of polysomnographic studies during a 6 h night of registry total sleep time (TTR) in the Hospital Italiano de Buenos Aires, Argentina, on a population over 65 years old between June 1, 2011 and December 30, 2012. The following variables were taken into consideration: age, BMI (body mass index), scoring on the Epworth scale, and variables related to sleep (sleep onset latency (SOL), stage REM latency, sleep efficiency, % sleep time of REM and apnea hypopnea index/h: AHI). In order to analyze it, the population was divided into: G1 (ages 65–70), G2 (ages 71–75 ), G3 (ages 76–80) and G 4 (ages > 80) comparing the results obtained from the four groups. Statistical Analysis: The information from the general series and the inter-group differences were analyzed. The continuous variables were expressed with M (media), SD. The ‘‘M’’ difference between groups was done through ANOVA. The nominal variables were expressed as a percentage. A p < 0.05 was considered to be significant. The information was analyzed with the Stat View statistic program. Results: The PSG records on 551 patients over 65 years old were analyzed, 54.4% (300) were male. 45% (253) between the ages of 65–70 (G1), 25% (138) between 71–75 (G2), 17% (93) between
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76–80 (G3) and 13% (67) over 80 years old (G4). The 64 had less BMI than G1 and G2. The G4 had less BMI than G1 an G2 (27.48 ± 0.73 vs. 29.70 ± 0.39; p = 0.007 and 27.48 ± 0.73 vs. 29.31 ± 0.50; p = 0.04, respectively). Regarding the PSG characteristics, G4 had more AHI than G1 (20.63 ± 3.40 vs. 13.24 ± 0.97; p = 0.005), not showing differences between the rest of the groups. G3 showed a higher SOL than G1 (36.92 ± 4.24 vs. 27.88 ± 2.39 p = 0.04) and higher stage REM latency than G1 and G2 (161.76 ± 9.17 vs. 140.31 ± 5.22, p = 0.03 and 161.76 ± 9.17 vs. 137.87 ± 6.45; p = 0.03, respectively). Significant differences in the analyzed variables were not observed. Conclusion: The information displayed that AHI increased with age, and not with BMI. As years have passed, the SOL has increased on patients over 76 years old but not on patients over 80 years old. Future studies will help confirm these findings. This is the first study in Latin America which analyses this type of variables in the elderly. Acknowledgement: MD. Cecilia Lucero for stadistic analysis and Andres Alvez for teacher English. http://dx.doi.org/10.1016/j.sleep.2013.11.713
Quality of life and sleep disorders in elderly C. Ribeiro Do Valle 1, E. Valle 2, L. Valle 2, C. Alves Fior 1 1 Pontific Catholic University – Poços de Caldas, Department of Psychology, Brazil 2 Interclinica Ribeiro do Valle, Neurology, Brazil
Introduction: There has been an increase in life expectancy worldwide, followed by an improvement in technological and scientific knowledge. In this way, it is important to associate Aging with quality of life that is defined by several factors which includes good sleep condition. The aims of this study were to compare quality of life in the elderly with or without Sleep Disorders in Brazilian community. Materials and methods: This is an exploratory and descriptive study with characteristics quantitative and qualitative. We evaluated 41 subjects that accepted to participate in this survey in the city of Poços de Caldas, Brazil. All participants filled out these questionnaires: World Health Organization Quality of Life (WHOQOL) (WHOQOL-OLD and WHOQOL-BREF), Epworth Somnolence Scale (ESS) and Pittsburgh Sleep Quality Index (PSQI). All data were studied by statistical analysis. All participants were fully informed about the study and informed consent was obtained from each patient. The study followed in compliance with the Declaration of Helsinki. Results: The mean age was 71 years old (SD ± 7.8). 85% were female and 15% were male. For analysis, patients were divided in two groups: with Sleep Disorders and without Sleep Disorders. Statistical differences were founded between the groups. Sleep Disorders group reported poor quality of life, as evidenced by WHOQOL-BREF in physical, psychological, social relationship, environment and general quality of life. On the other hand, on WHOQOLOLD the 2 groups have no statistical differences. The data demonstrated that people who have poor results in sleep quality have a worse quality of life. Conclusion: The research showed an association between quality of life and quality of sleep. Sleep health is extremely important to a better quality of life. It is necessary to improve prevention and education activities about Sleep Disorders to promote a better quality of life in Aging. Acknowledgement: The authors would like to thank all participants of this study.
http://dx.doi.org/10.1016/j.sleep.2013.11.714
without any peculiarities (was normal). Both eyes with open angle and some mesodermal remnants at the trabecular meshwork at the gonioscopy. A Polisomnography for OSAS was performed successfully. Results: The target IOP < 11 mmHg reached in all the control with Timolol and Dorzolamide and Bimatoprost (not advised in OSAS Brimonidine and had used without good tolerance when it was referred to). The patients began treatment with an air generator (CPAP) during the night well tolerated (something very difficult to achieve),stabilizing the visual fields (until December 2012 ) and RNFL OCT.In our series (n 41), the average age was 62.5, 39% did not know that they suffered from glaucoma and 56% did not know they had OSAS. The 35.8% patients had glaucoma associated with Plateau Iris, the 23% Pseudoexfoliation Glaucoma, 20.5% Open-angle glaucoma, 12.8% Low tension Glaucoma and 7.7% Primary angle-closure glaucoma. The OSA Index,was mild to moderate. Conclusion: In OSAS there’s an alteration of the optic nerve irrigation which is of great importance for the development and progression of the glaucoma. Most of our population don’t know Glaucoma– apnea Association. In a high percentage on the apnea/ hypopnea Index,was mild to moderate. That is why the emphasis must be put on its treatment. In the same way, in patients with OSAS, the focus must be on detection of glaucoma, as the prevalence in this group is higher, especially associated with Plateau Iris. Our results are different from literature reviewed. We must work in an interdisciplinary team with physicians in Neurology and Pneumonology to improve and/or stop the progression in these patients. Very low IOP Target is recommend for this group. Acknowledgement: Carolina Cuello Ortiz.
http://dx.doi.org/10.1016/j.sleep.2013.11.712
Polysomnographic characteristics of sleep in old age patients S. Valiensi 1, S. Maggi 1, P. Leon 1, E. Cristiano 1, C. Lucero 2 1 Hospital Italiano de Buenos Aires, Hospital Privado de Córdoba, Argentina 2 Hospital Privado de Cordoba Argentina, Argentina
Introduction: Sleep disorders increase and change with age. However, these are insufficiently researched and in some cases ignored. Objective: To describe the polysomnographic (PSG) findings in patients over 65 years old, analyzing and comparing these findings in different age groups (G) between them. Materials and methods: Descriptive study analyzing the information of polysomnographic studies during a 6 h night of registry total sleep time (TTR) in the Hospital Italiano de Buenos Aires, Argentina, on a population over 65 years old between June 1, 2011 and December 30, 2012. The following variables were taken into consideration: age, BMI (body mass index), scoring on the Epworth scale, and variables related to sleep (sleep onset latency (SOL), stage REM latency, sleep efficiency, % sleep time of REM and apnea hypopnea index/h: AHI). In order to analyze it, the population was divided into: G1 (ages 65–70), G2 (ages 71–75 ), G3 (ages 76–80) and G 4 (ages > 80) comparing the results obtained from the four groups. Statistical Analysis: The information from the general series and the inter-group differences were analyzed. The continuous variables were expressed with M (media), SD. The ‘‘M’’ difference between groups was done through ANOVA. The nominal variables were expressed as a percentage. A p < 0.05 was considered to be significant. The information was analyzed with the Stat View statistic program. Results: The PSG records on 551 patients over 65 years old were analyzed, 54.4% (300) were male. 45% (253) between the ages of 65–70 (G1), 25% (138) between 71–75 (G2), 17% (93) between
e291
76–80 (G3) and 13% (67) over 80 years old (G4). The 64 had less BMI than G1 and G2. The G4 had less BMI than G1 an G2 (27.48 ± 0.73 vs. 29.70 ± 0.39; p = 0.007 and 27.48 ± 0.73 vs. 29.31 ± 0.50; p = 0.04, respectively). Regarding the PSG characteristics, G4 had more AHI than G1 (20.63 ± 3.40 vs. 13.24 ± 0.97; p = 0.005), not showing differences between the rest of the groups. G3 showed a higher SOL than G1 (36.92 ± 4.24 vs. 27.88 ± 2.39 p = 0.04) and higher stage REM latency than G1 and G2 (161.76 ± 9.17 vs. 140.31 ± 5.22, p = 0.03 and 161.76 ± 9.17 vs. 137.87 ± 6.45; p = 0.03, respectively). Significant differences in the analyzed variables were not observed. Conclusion: The information displayed that AHI increased with age, and not with BMI. As years have passed, the SOL has increased on patients over 76 years old but not on patients over 80 years old. Future studies will help confirm these findings. This is the first study in Latin America which analyses this type of variables in the elderly. Acknowledgement: MD. Cecilia Lucero for stadistic analysis and Andres Alvez for teacher English. http://dx.doi.org/10.1016/j.sleep.2013.11.713
Quality of life and sleep disorders in elderly C. Ribeiro Do Valle 1, E. Valle 2, L. Valle 2, C. Alves Fior 1 1 Pontific Catholic University – Poços de Caldas, Department of Psychology, Brazil 2 Interclinica Ribeiro do Valle, Neurology, Brazil
Introduction: There has been an increase in life expectancy worldwide, followed by an improvement in technological and scientific knowledge. In this way, it is important to associate Aging with quality of life that is defined by several factors which includes good sleep condition. The aims of this study were to compare quality of life in the elderly with or without Sleep Disorders in Brazilian community. Materials and methods: This is an exploratory and descriptive study with characteristics quantitative and qualitative. We evaluated 41 subjects that accepted to participate in this survey in the city of Poços de Caldas, Brazil. All participants filled out these questionnaires: World Health Organization Quality of Life (WHOQOL) (WHOQOL-OLD and WHOQOL-BREF), Epworth Somnolence Scale (ESS) and Pittsburgh Sleep Quality Index (PSQI). All data were studied by statistical analysis. All participants were fully informed about the study and informed consent was obtained from each patient. The study followed in compliance with the Declaration of Helsinki. Results: The mean age was 71 years old (SD ± 7.8). 85% were female and 15% were male. For analysis, patients were divided in two groups: with Sleep Disorders and without Sleep Disorders. Statistical differences were founded between the groups. Sleep Disorders group reported poor quality of life, as evidenced by WHOQOL-BREF in physical, psychological, social relationship, environment and general quality of life. On the other hand, on WHOQOLOLD the 2 groups have no statistical differences. The data demonstrated that people who have poor results in sleep quality have a worse quality of life. Conclusion: The research showed an association between quality of life and quality of sleep. Sleep health is extremely important to a better quality of life. It is necessary to improve prevention and education activities about Sleep Disorders to promote a better quality of life in Aging. Acknowledgement: The authors would like to thank all participants of this study.
http://dx.doi.org/10.1016/j.sleep.2013.11.714