Utility of formulas predicting the optimal nasal continuous positive airway pressure in a Greek population

Schiza, Sophia; Bouloukaki, Izolde; Mermigkis, Charalampos; Panagou, Panagiotis; Tzanakis, Νikolaos; Moniaki, Violeta; Tzortzaki, Eleni G.; Siafakas, Nikolaos M.

doi:10.1007/s11325-010-0352-5

Cited by 26 publications

(33 citation statements)

References 40 publications

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“…Many other prediction formulas are also available with respect to different ethnicity. [6][7][8][9][10][11] Previous reports of differences between predicting CPAP level and optimal CPAP pressure using manual titration revealed that 83% of patients were within ± 2 cm H2O and 95% were within ±3 cm H2O. 4,5 Chung-Chieh in his study observed automatic CPAP pressure was higher than predicted CPAP pressure.…”

Section: Introductionmentioning

confidence: 99%

Comparative study on optimal continuous positive airway pressure and predicted continuous positive airway pressure in obstructive sleep apnoea

Shyamala¹,

Khatri

Suresh

et al. 2017

Int J Adv Med

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Background: Continuous positive airway pressure (CPAP) is the first line non-invasive and safest treatment of obstructive sleep apnoea (OSA). Optimal CPAP therapy prescribed is obtained by manual titration in lab setting. Due to lack of data in Indian population predicted CPAP pressure proposed by Hoffstein is used using body mass index (BMI), neck circumference (NC) and apnoea-hypopnoea index (AHI) to correlate with the optimal pressure by automatic CPAP titration.Methods: The study was of retrospective and observational type. It included OSA patients diagnosed by overnight polysomnography (PSG) who had undergone automatic CPAP titration. The correlation of optimal pressure of automatic CPAP and predicted CPAP was studied.Results: A total of 30 patients were included in the study of which 23 were males and 7 were females. It was found that 28 patients had severe OSA and 2 had moderate OSA. AHI significantly improved (P = 0.000) with automatic CPAP titration. The mean CPAP predicted pressure (8.77±2.05) was found lower than the therapeutic optimal pressure (13.03±3.18) prescribed and the value exceeded the range ±2 in 76% of patients.Conclusions: Use of automatic CPAP limits the role for predicted formula for in lab titration/unattended home setting and patients who don’t undergo CPAP titration study, reducing the cost of testing. However, the predicted pressure could be used as a starting pressure for initiation of CPAP titration in lab setting for manual titration.

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Section: Introductionmentioning

confidence: 99%

Comparative study on optimal continuous positive airway pressure and predicted continuous positive airway pressure in obstructive sleep apnoea

Shyamala¹,

Khatri

Suresh

et al. 2017

Int J Adv Med

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“…Clinical guidelines [3], pressure prediction formulas [6,7], Clinical Decision Support Systems (CDSS) [2] and Artificial Intelligence techniques [8] suggested that there is no significant difference in clinical outcome between auto titration and algorithmically defined fixed pressure [9,10].…”

Section: Introductionmentioning

confidence: 99%

Development of a system for telemonitoring of respiration parameters for patients with Obstructive Sleep Apnea

Tzavaras

Spyropoulos

2014

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Obstructive Sleep Apnea is a chronic sleep disorder affecting a large number of the global population. Telemonitoring has been successfully evaluated as an alternative method to traditional care. This paper identifies drawbacks of the current telemonitoring approaches and presents a universal wireless system for continuous monitoring of basic respiration parameters. The proposed system monitors four parameters, namely respiratory flow, airway pressure, Carbon Dioxide (CO2) and Oxygen (O2) gas concentrations. Data are wirelessly transmitted to a computer which acts as a web server. The system will allow remote evaluation of home ventilation support efficiency and the application of custom algorithms for decision support and respiration event detection.

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“…Therefore, the purpose of the present study and the rationale for another CPAP prediction formula was to investigate possible ethnicity-related effects, and thus create an improved prediction formula for the estimation of the optimum CPAP pressure. However, this underlying assumption was not proved in the course of this study, as there was no difference in the CPAP pressures between CPAP prediction formulas for Caucasians, Asians and Turkish patients, and the authors conclude that race/ ethnicity may not be an important factor in predicting CPAP levels.In the literature several formulas have been used with varying degrees of success to determine the optimal CPAP pressure [7,10,21,22]. Nahmias et al reported a formula including ideal body weight ratio, respiratory disturbance index (RDI) and nadir oxyhemoglobin saturation [21].…”

mentioning

confidence: 99%

“…In the literature several formulas have been used with varying degrees of success to determine the optimal CPAP pressure [7,10,21,22]. Nahmias et al reported a formula including ideal body weight ratio, respiratory disturbance index (RDI) and nadir oxyhemoglobin saturation [21].…”

mentioning

confidence: 99%

“…Another attempt was made by El Sohl et al, who found that the ability to estimate the optimal pressure can be improved by using computer analyses involving neural networks that rely on a combination of anthropometric and clinical data [15]. Most recently, our group described a different prediction formula for a Greek population, and our equation included not only AHI and BMI but also smoking history and gender [22].…”

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confidence: 99%

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Prediction formulas for nasal continuous positive airway pressure in patients with obstructive sleep apnea syndrome

Schiza

Bouloukaki

2011

Sleep Breath

Self Cite

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Since its original description in 1981 [1], continuous positive airways pressure (CPAP) is a well established effective and evidence-based treatment for moderate to severe obstructive sleep apnea (OSA) [2]. However, the determination of optimal CPAP pressure in the laboratory is time-consuming and expensive, contributing to delays in the treatment of this condition. As sleep laboratory availability and expense is an issue of concern, several methods that could shorten long waiting lists and lower costs have been suggested. These are split-night studies [3], auto-CPAP titration [4], home sleep diagnostic studies [5], unattended autotitrating home CPAP studies [6] and more recently CPAP prediction formulas [7][8][9][10].In this issue of Sleep and Breathing, Ozen K. Basoglu and colleagues of the Ege University of Turkey in their paper "Determination of new prediction formula for nasal continuous positive airway pressure in Turkish patients with obstructive sleep apnea syndrome" developed and validated a new prediction formula of optimal CPAP in a Turkish population with OSAS and compared the new formula with two previous formulas designed and validated in Caucasian and Asian populations. The new formula utilizes neck circumference (NC) and oxygen desaturation index (ODI). One of the previous formulas, the Hoffstein formula, utilizes the BMI, neck circumference and AHI in its prediction of the optimal CPAP pressure. This formula has been used for the determination of reference pressure by most investigators in the literature so far [11][12][13][14][15][16][17][18][19]. The other formula takes into account BMI and AHI in predicting the optimal CPAP pressure setting in Taiwanese population [9]. The authors found that there is no significant difference between the three formulas in predicting the optimal CPAP pressure setting and that the new formula performs better than the previous formulas, though the improved accuracy was not statistically or clinically significant.The study is of some interest as the new formula is the first prediction formula derived and validated in a Turkish population. It is known that ethnic variability and related lifestyle habits may strongly influence the anthropometric variables in the severity of OSAHS as well as the effective CPAP pressure [20]. Therefore, the purpose of the present study and the rationale for another CPAP prediction formula was to investigate possible ethnicity-related effects, and thus create an improved prediction formula for the estimation of the optimum CPAP pressure. However, this underlying assumption was not proved in the course of this study, as there was no difference in the CPAP pressures between CPAP prediction formulas for Caucasians, Asians and Turkish patients, and the authors conclude that race/ ethnicity may not be an important factor in predicting CPAP levels.In the literature several formulas have been used with varying degrees of success to determine the optimal CPAP pressure [7,10,21,22]. Nahmias et al. reported a formula including ideal body weight...

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Utility of formulas predicting the optimal nasal continuous positive airway pressure in a Greek population

Cited by 26 publications

References 40 publications

Comparative study on optimal continuous positive airway pressure and predicted continuous positive airway pressure in obstructive sleep apnoea

Comparative study on optimal continuous positive airway pressure and predicted continuous positive airway pressure in obstructive sleep apnoea

Development of a system for telemonitoring of respiration parameters for patients with Obstructive Sleep Apnea

Prediction formulas for nasal continuous positive airway pressure in patients with obstructive sleep apnea syndrome

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