Open Access

Ambulatory pulse oximetry monitoring in Japanese COPD outpatients not receiving oxygen therapy

  • Seigo Minami1Email author,
  • Suguru Yamamoto1,
  • Yoshitaka Ogata1,
  • Takeshi Nakatani2,
  • Yoshiko Takeuchi3,
  • Masanari Hamaguchi4,
  • Taro Koba1 and
  • Kiyoshi Komuta1
Multidisciplinary Respiratory Medicine20149:24

DOI: 10.1186/2049-6958-9-24

Received: 18 January 2014

Accepted: 5 April 2014

Published: 17 April 2014

Abstract

Background

It remains unknown whether desaturation profiles during daily living are associated with prognosis in patients with chronic obstructive pulmonary disease (COPD). Point measurements of resting oxygen saturation by pulse oximetry (SpO2) and partial pressure of arterial oxygen (PaO2) are not sufficient for assessment of desaturation during activities of daily living. A small number of studies continuously monitored oxygen saturation throughout the day during activities of daily living in stable COPD patients. This study aims to analyse the frequency of desaturation in COPD outpatients, and investigate whether the desaturation profile predicts the risk of exacerbation.

Methods

We studied stable COPD outpatients not receiving supplemental oxygen therapy. Baseline assessments included clinical assessment, respiratory function testing, arterial blood gas analysis, body mass index, and the COPD Assessment Test (CAT). Patients underwent 24-hour ambulatory monitoring of SpO2 during activities of daily living. Exacerbations of COPD and death from any cause were recorded.

Results

Fifty-one patients were enrolled in the study, including 12 current smokers who were excluded from the analyses in case high serum carboxyhaemoglobin concentrations resulted in inaccurately high SpO2 readings. The mean percent predicted forced expiratory volume in one second (%FEV1) was 50.9%. The mean proportion of SpO2 values below 90% was 3.0% during the day and 7.4% during the night. There were no daytime desaturators, defined as ≥ 30% of daytime SpO2 values below 90%. Twenty-one exacerbations occurred in 13 patients during the mean follow-up period of 26.4 months. Univariate and multivariate Cox proportional hazards analyses did not detect any significant factors associated with exacerbation.

Conclusions

Our 24-hour ambulatory oximetry monitoring provided precise data regarding the desaturation profiles of COPD outpatients. Both daytime and nighttime desaturations were infrequent. The proportion of ambulatory SpO2 values below 90% was not a significant predictor of exacerbation.

Keywords

Activities of daily living Chronic obstructive pulmonary disease (COPD) Desaturator Exacerbation Outpatients Pulse oximetry

Background

Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and disability worldwide, and is predicted to become the third highest cause of death by 2020 [1]. Desaturation profiles during a 6-minute walk test (6MWT) may predict prognosis primarily in patients with severe COPD with a percent predicted forced expiratory volume in one second (FEV1) of < 50% [2]. Time to desaturation during a 6MWT also predicts desaturation time in 24-hour ambulatory oximetry monitoring primarily in moderately hypoxaemic COPD patients with a resting partial pressure of arterial oxygen (PaO2) between 60 and 70 mmHg [3]. However, it remains unknown whether desaturation profiles measured by ambulatory oximetry can predict prognosis in COPD patients. Transient desaturations have been observed in patients with moderate to severe chronic pulmonary disorders, even without significant resting hypoxemia [4]. Point measurements of resting oxygen saturation by pulse oximetry (SpO2) and PaO2, the conventional parameters used to determine requirements of long-term oxygen therapy, are not sufficient for assessment of desaturation during activities of daily living [5]. Field walking tests such as the 6MWT, which is the standard test used for assessment of functional exercise tolerance, do not always provide a good reflection of variations in oxygen saturation, because most activities of daily living are performed at submaximal levels of effort. 6MWT results did not predict the degree of desaturation during defecation in patients with chronic respiratory failure [6]. Conventional assessment methods are therefore not satisfactory for obtaining a comprehensive understanding of oxygen saturation throughout the day.

Pulse oximetry is a rapid, non-invasive method of monitoring the oxygen saturation of haemoglobin. Recent technological advances have enabled development of low-cost, small, user-friendly, portable pulse oximeters that can record data for over 24 hours. Many studies have evaluated the usefulness of pulse oximetry in COPD patients, but most studies only monitored patients continuously during the night or for a short period during the day. Although several studies monitored patients continuously during the day, most of these included patients with severe COPD on long-term oxygen therapy, or exclusively analysed patients on long-term oxygen therapy.

This study aimed to evaluate the desaturation profiles of Japanese COPD outpatients not receiving supplemental oxygen therapy during activities of daily living at home using continuous 24-hour pulse oximetry monitoring, and analyse the frequency of desaturation and relationships between the desaturation profile and the clinical characteristics and risk of exacerbation. The ability of the desaturation profile to predict exacerbation of COPD was investigated.

Methods

Patient selection

Patients were recruited from the outpatient clinic in the Department of Respiratory Medicine at Osaka Police Hospital. The inclusion criteria were: (1) clinically stable COPD according to the Global Initiative on Obstructive Lung Disease guidelines, with a FEV1 to forced vital capacity ratio of < 70% and minimal or no reversibility to β2-agonists (<200 mL and/or < 15%); (2) able to walk independently or with a cane; and (3) sufficient cognitive function to follow the instructions for using the pulse oximeter. Patients were excluded if they were currently hospitalised, if they had experienced an exacerbation requiring hospitalisation or administration of antibiotics or steroids during the preceding 3 months, if they had other significant respiratory diseases or medical problems that precluded ambulatory activities at home, and if they were receiving supplemental oxygen therapy.

Experimental design

Within 1 month of ambulatory oximetry monitoring, all patients underwent spirometry, arterial blood gas analysis, assessment of the modified Medical Research Council (mMRC) dyspnoea scale score, and the Japanese version of the COPD assessment test (CAT) (GlaxoSmithKline; http://www.catestonline.org/) [7, 8]. Spirometry was performed using an autospirometer (Autospirometer System 7; Minato Medical Science, Osaka, Japan) according to the American Thoracic Society guidelines. Samples for arterial blood gas analysis were obtained from the radial artery with the patient resting in the sitting position and breathing room air, and PaO2 and partial pressure of arterial carbon dioxide (PaCO2) were immediately measured using a blood gas analyser (RAPIDPoint 405 Arterial Blood Gas Analyzer; Siemens Healthcare Diagnostics Inc., Tarrytown, NY, USA).

A portable pulse oximeter (PULSOX-Me300; Konica-Minolta, Tokyo, Japan) was used to obtain continuous oximetry data over a 24-hour period. SpO2 and the pulse-rate waveform were recorded every second. A nurse individually instructed each patient on the proper use of the portable oximeter before the start of monitoring. The finger probe of the portable oximeter was positioned on the patient’s non-dominant hand to minimise interference during normal daily activities. The portable oximeter was attached to the patient’s wrist during the monitoring period. Periods during which the heart rate fell abruptly by ≥ 25 beats/minute were excluded from the analyses. All data were downloaded to a computer for analysis (DS-Me version 2.10). A calibration check according to the manufacturer’s instructions was performed before and after use. Patients were instructed to keep an activity log to record the times of major daily activities (sleeping, eating, walking outdoors, bathing, and other physical activities). Based on the patient’s activity log, periods of sleep were defined as night, and all other periods were defined as day. Patients were encouraged to perform all normal daily ambulatory activities, and to maintain their baseline levels of activity. The daytime and nighttime mean SpO2 value, proportion of SpO2 values below 90%, and heart rate were analysed. The 3% oxygen desaturation index (3%ODI) during the night was measured to detect patients with possible obstructive sleep apnoea (OSA) [9].

Patients were followed up for as long as possible after their ambulatory oximetry monitoring, and exacerbations and survival were analysed. Exacerbations were recorded from the day of oximetry monitoring. Follow-up ended on 30 November 2013. Exacerbation was defined as an increase in respiratory symptoms lasting at least 3 days and requiring treatment with antibiotics or systemic steroids.

The primary outcome was the proportion of desaturators, defined by Levi-Valensi et al. as patients with ≥ 30% of SpO2 values below 90% [10]. This definition was validated by Casanova et al. [11] and has also been used in other recent studies of 24-hour or daytime oximetry monitoring [3, 5, 12]. The secondary outcomes were the mean SpO2, heart rate and occurrence of exacerbation. Based on the results of previous studies [3, 11], the proportion of desaturators was estimated to be approximately 24% in COPD patients with a resting PaO2 of 60–70 mmHg. The proportion of desaturators in this study was estimated to be 8%, because we expected the study to include a higher proportion of patients with mild COPD than previous studies. For a one-sided alpha of 5% and a power of 80%, we estimated that 47 evaluable subjects would be needed. Given the possibility of incomplete data in some patients, we considered that 50 subjects would be needed for this study. The study was approved by the Osaka Police Hospital ethics committee. All patients provided written informed consent for inclusion in the study.

Data analysis

The values for normally distributed continuous variables, discrete variables, and categorical variables are expressed as the mean ± standard deviation (SD), median (range), and frequency, respectively. Comparisons between groups were performed using the unpaired t-test for normally distributed continuous variables. Simple and multiple regression analyses were performed to evaluate relationships between variables and the proportion of daytime SpO2 values below 90%. The following factors were included in the simple regression analyses: percent predicted FEV1 (%FEV1), mMRC dyspnoea grade, CAT score, resting PaO2, resting PaCO2, body mass index (BMI), and age. All variables with a p value of < 0.2 on univariate analysis were included in the multiple regression analysis. The multiple regression analysis results are expressed as the unstandardized regression coefficient (β) with the corresponding 95% confidence interval, and the coefficient of determination (R2). Univariate and multivariate Cox proportional hazards models were used to evaluate relationships between the variables and exacerbation. The following factors were included in the multivariate analysis: age-adjusted Charlson Comorbidity Index [13], BMI, %FEV1, and proportion of SpO2 values below 90% during the day and night. The Cox proportional hazards analysis results are expressed as risk ratio (RR) with the 95% confidence interval. A two-tailed p value of < 0.05 was considered statistically significant. Statistical analyses were performed using StatMate statistical software (StatMate version IV; ATMS Co., Ltd., Tokyo, Japan). The sample calculation was performed using EZR (Saitama Medical Centre, Jichi Medical University, Saitama City, Japan), a graphical user interface for R (The R Foundation for Statistical Computing) [14]. EZR is a modified version of R commander designed to add statistical functions and frequently used in biostatistics.

Results

A total of 51 Japanese patients were enrolled in the study from February 2011 to September 2011. Thirty-eight patients were ex-smokers, 12 were current smokers, and 1 was a non-smoker who had been chronically exposed to excessive environmental tobacco smoke. We excluded the 12 current smokers from our analyses, because smoking status was not considered at study entry and some current smokers were unexpectedly included. Current smoking may increase SpO2 values due to a high serum carboxyhaemoglobin (COHb) concentration [1517]. The characteristics of the ex-/non-smokers are shown in Table 1.
Table 1

Baseline characteristics of ex-/non-smokers (n = 39)

Age (years)

Mean ± SD

71.6 ± 8.8

Sex

Male/female

36/3

Smoking pack/years

Mean ± SD

68.2 ± 33.4

BMI (kg/m2)

Mean ± SD

23.1 ± 3.8

     Underweight (BMI < 18.5 kg/m2)

n (%)

4 (10.3)

     Overweight (BMI 25–30 kg/m2)

n (%)

5 (12.8)

     Obese (BMI ≥ 30 kg/m2)

n (%)

2 (5.1)

Unadjusted Charlson Comorbidity Index

Median (range)

1 (0–4)

Age-adjusted Charlson Comorbidity Index

Median (range)

5 (2–9)

Treatment

  

     Long-acting muscarinic antagonist

n (%)

26 (67%)

     Long-acting β2 agonist

n (%)

27 (69%)

     Inhaled corticosteroid

n (%)

27 (69%)

PaO2 (mmHg)

Mean ± SD

78.2 ± 8.9

PaCO2 (mmHg)

Mean ± SD

39.1 ± 4.9

GOLD stage

I/II/III/IV

2/18/13/6

FEV1 (L)

Mean ± SD

1.3 ± 0.6

FEV1 (%predicted)

Mean ± SD

50.9 ± 18.5

FVC (L)

Mean ± SD

2.3 ± 1.0

mMRC dyspnoea grade

Mean ± SD

2.2 ± 1.1

 

Median (range)

2 (0–4)

CAT score

Mean ± SD

11.7 ± 7.0

 

Median (range)

10 (0–29)

BMI, Body mass index; CAT, Chronic obstructive pulmonary disease assessment test; FEV1, Forced expiratory volume in one second; FVC, Forced vital capacity; GOLD, Global Initiative on Obstructive Lung Disease; mMRC, Modified Medical Research Council; SD, Standard deviation.

The daytime and nighttime oximetry monitoring results are shown in Table 2. There were no daytime desaturators and three nighttime desaturators. Although we did not confirm OSA by polysomnography, the results showed possible OSA (3%ODI of more than 15 desaturations/hour) in six patients [9]. Comparison of these 6 patients with the remaining 33 patients found no significant differences in the proportion of SpO2 values below 90% in the daytime (1.7 ± 2.1 vs 3.2 ± 6.0%, p = 0.28) or nighttime (15.4 ± 9.9 vs 5.9 ± 17.0%, p = 0.08) or in the mean daytime SpO2 value (94.6 ± 0.8 vs 94.7 ± 1.3%, p = 0.86), but did find a significant difference in the mean nighttime SpO2 value (92.3 ± 0.9 vs 93.9 ± 1.8%, p = 0.03). In the nine patients with a resting PaO2 of 60–70 mmHg (resting PaO2 66.2 ± 2.8 mmHg), including no daytime and two nighttime desaturators, the proportion of SpO2 values below 90% was 8.4 ± 9.0% during the day and 20.2 ± 28.5% during the night, and the 3%ODI was more than 15 desaturations/hour in one ex-smoker (15.6 desaturations/hour).
Table 2

Pulse oximetry monitoring results in ex-/non-smokers (n = 39)

 

Daytime

Nighttime

Monitoring duration (hours)

  

  Mean ± SD

14.5 ± 3.7

8.5 ± 3.0

Proportion of SpO2 values < 90% (%)

  

  Mean ± SD

3.0 ± 5.5

7.4 ± 16.1

  Median (range)

1.1 (0.0–28.1)

1.3 (0.0–87.3)

Mean SpO2 (%)

  

  Mean ± SD

94.7 ± 1.2

93.7 ± 1.8

  Median (range)

94.9 (90.7–97.4)

93.9 (88.8–96.8)

Heart rate (beats/min)

  

  Mean ± SD

76.9 ± 10.6

69.0 ± 9.0

  Median (range)

75.0 (49.4–101.0)

68.2 (49.4–87.1)

SD, Standard deviation; SpO2, Oxygen saturation by pulse oximetry.

Simple regression analysis showed that higher %FEV1 (β = -0.12, p = 0.01), higher PaO2 (β = -0.30, p = 0.002) and lower mMRC dyspnoea grade (β = 2.38, p = 0.002) were significantly associated with a lower proportion of daytime SpO2 values below 90% (Additional file 1: Data 1). Multivariate analysis identified only PaO2 as a significant predictor of the proportion of daytime SpO2 values below 90% (β = -0.21, p = 0.04) (Additional file 1: Data 2).

Five ex-smokers were lost to follow-up. Two ex-smokers died of acute heart failure and unknown cause, respectively. Thirty-two ex-/non-smokers were alive and still followed up at the time of data cut-off. One third of the patients experienced exacerbations during the follow-up period (Table 3). The median time from oximetry monitoring to the first exacerbation was not reached (Figure 1). Univariate (Table 4) and multivariate (Table 5) analyses did not detect any factors that were significantly associated with exacerbation.
Table 3

Characteristics of exacerbations in ex-/non-smokers (n = 39)

Follow-up duration (months)

Mean ± SD

26.4 ± 6.7

Median (range)

27.8 (4.1–32.8)

All exacerbations

Total exacerbations/patients

21/13

     Exacerbation-related admission

Total admissions/patients

13/9

     Antibiotic use

Total uses/patients

15/10

     Systemic steroid use

Total uses/patients

4/4

SD, Standard deviation.

Figure 1

Kaplan–Meier curves for exacerbation of COPD in 39 ex-/non-smokers (blue line).

Table 4

Univariate Cox proportional hazards analysis of relationships between variables and exacerbation in ex-/non-smokers (n = 39)

Variable

Risk ratio

95% CI

p

Age (years)

1.04

0.97 – 1.10

0.26

Unadjusted Charlson Comorbidity Index

0.93

0.57 – 1.51

0.76

Age-adjusted Charlson Comorbidity Index

1.06

0.76 – 1.46

0.74

Pack/years

1.00

0.98 – 1.01

0.69

Body mass index

0.87

0.73 – 1.03

0.10

mMRC dyspnoea grade

1.19

0.73 – 1.96

0.49

CAT score

1.08

1.00 – 1.16

0.054

PaO2

0.97

0.92 – 1.03

0.35

PaCO2

0.95

0.84 – 1.08

0.45

FEV1

0.60

0.23 – 1.53

0.28

%FEV1

0.99

0.96 – 1.02

0.45

Daytime

   

     Proportion of SpO2 values < 90% (%)

1.01

0.92 – 1.11

0.78

     Mean heart rate

1.02

0.97 – 1.07

0.42

Nighttime

   

     Proportion of SpO2 values < 90%

0.98

0.92 – 1.03

0.41

     3%ODI

0.92

0.82 – 1.02

0.12

     Mean heart rate

1.01

0.95 – 1.07

0.71

CAT, Chronic obstructive pulmonary disease assessment test; CI, Confidence interval; FEV1, Forced expiratory volume in one second; mMRC, Modified Medical Research Council; ODI, Oxygen desaturation index; PaCO2, Partial pressure of arterial carbon dioxide; PaO2, Partial pressure of arterial oxygen; SpO2, Oxygen saturation by pulse oximetry.

Table 5

Multivariate Cox proportional hazards analysis of relationships between variables and exacerbation in ex-/non-smokers (n = 39)

Variable

Risk ratio

95% CI

p

Age-adjusted Charlson Comorbidity Index

0.96

0.67 – 1.37

0.82

Body mass index

0.88

0.72 – 1.06

0.18

CAT score

1.08

0.99 – 1.18

0.10

%FEV1

0.99

0.95 – 1.02

0.45

Daytime proportion of SpO2 values < 90%

1.00

0.84 – 1.18

0.97

Nighttime proportion of SpO2 values < 90%

0.99

0.92 – 1.05

0.68

CAT, Chronic obstructive pulmonary disease assessment test; CI, confidence interval; FEV1, forced expiratory volume in one second; SpO2, Oxygen saturation by pulse oximetry.

Discussion

This study of Japanese COPD outpatients not receiving supplemental oxygen therapy included no daytime desaturators and few nighttime desaturators. The proportions of daytime and nighttime SpO2 values below 90% did not predict exacerbation.

To the best of our knowledge, only four previous studies have reported the results of continuous 24-hour oxygen saturation monitoring during activities of daily living using a portable pulse oximeter (Table 6) [3, 5, 11, 18]. The population of the present study differed from the populations of these previous studies in terms of race, disease severity (%FEV1 and resting PaO2), physique (BMI), and SpO2 values. Patients with more severe COPD generally tend to be more underweight [1921]. However, the patients in this study had milder COPD but were more underweight than patients in previous non-Asian studies. Additionally, our oximetry results were much better than in previous studies. Patients in this study had less frequent daytime and nighttime desaturations than those in the previous studies. Although even the nine patients with a resting PaO2 of 60–70 mmHg had better oxygen saturation profiles than patients in the previous non-Asian studies, their desaturation profiles and pulmonary function were comparable to those of the 55 non-desaturators in the study by Casanova et al., which also found that non-desaturators were less hypercapnic and less hypoxemic during the daytime than desaturators in spite of having similar pulmonary function and Saint George’s Respiratory Questionnaire scores [11]. Our nine patients with a resting PaO2 of 60–70 mmHg had lower resting PaCO2 values than patients in the previous studies. These comparisons suggest that desaturators are likely to have hypercapnic respiratory failure.
Table 6

Studies of continuous 24-hour oximetry monitoring during activities of daily living

Authors(Year)[Ref]

N

PaO2inclusion criteria

Supplemental oxygen therapy

PaO2PaCO2(mmHg)

%FEV1

BMI

Proportion of desaturators

Mean proportion of SpO2values < 90%

Soguel Schenkel (1996) [18]

30 inpts

Not defined

3 Patients*

Median (range)

Median (range)

Median (range)

Not described

Not described

   

68 (54–89)

37 (16–64)

25.5 (17.1–42.5)

  
   

42 (35–51)

    

Casanova (2006) [11]

88 outpts

60–70 mmHg

None

Mean ± SD

Mean ± SD

Mean ± SD

Daytime 22%

Non-desaturators

64.7 ± 2.8

38 ± 13

27 ± 4

Nighttime 50%

    24-hour 12.2%

45 ± 5.7

   

    Daytime 8.9%

    

    Nighttime 18.8%

    

Desaturators

    

    24-hour 55.1%

    

    Daytime 42.3%

    

    Nighttime 77.3%

Garcia-Talavera (2008) [3]

67 outpts

60–70 mmHg

None

Median (range)

Median (range)

Not described

24-hour 30%

24-hour 17%

66 (60–70)

37 (16–64)

 

Daytime 25%

Daytime 15%

45 (32–57)

  

Nighttime 45%

Nighttime 23%

Trauer (2012) [5]

35 outpts

56–70 mmHg

None

Mean ± SD

Mean ± SD

Mean ± SD

24-hour 54%

24-hour 41.9%

64.1 ± 4.5

37.5 ± 13.2

27.1 ± 7.0

Daytime 40%

Daytime 30.9%

44.2 ± 6.0

  

Nighttime 77%

Nighttime 60.6%

This study

39 outpts

Not defined

None

Mean ± SD

Mean ± SD

Mean ± SD

Daytime 0%

Daytime 3.0%

78.2 ± 8.9

50.9 ± 18.5

23.1 ± 3.8

Nighttime 8%

Nighttime 7.4%

39.1 ± 4.9

    
 

9 outpts**

60–70 mmHg

None

66.2 ± 3.0

37.0 ± 14.6

23.9 ± 4.8

Daytime 0%

Daytime 8.4%

38.0 ± 5.4

  

Nighttime 22%

Nighttime 20.2%

*Three patients had not previously received supplemental oxygen therapy, but started nocturnal oxygen therapy during admission to a pulmonary rehabilitation programme.

**Nine patients in this study had more severe COPD with mild-to-moderate hypoxaemia (PaO2 60–70 mmHg).

BMI, body mass index; FEV1, Forced expiratory volume in one second; Inpts, inpatients; Outpts, outpatients; PaO2, partial pressure of arterial oxygen; Ref, Reference; SD, Standard deviation; SpO2, Oxygen saturation by pulse oximetry.

In this study, oximetry results did not predict exacerbation. This is consistent with the findings of Trauer et al., who reported that ambulatory oximetry results in patients with a resting PaO2 of 56–70 mmHg did not predict exacerbation or survival [12]. They proposed four reasons for the lack of association between oximetry results and survival: 1) oximetry results are not fundamentally important for predicting prognosis, 2) progression of COPD is unpredictably heterogeneous, 3) the sample size was not large enough to detect differences, and 4) low ambulatory oxygen saturation reflected greater levels of physical activity. In the present study, the lack of association between oximetry results and the risk of exacerbation may be related to the small sample size, as the patients had mild COPD and therefore had lower rates of exacerbation and death than in the study by Trauer et al.[12]. However, the CAT score may be an independent predictor of exacerbation, as also recently reported in other studies [22, 23].

This study has some limitations. First, despite using an activity log, it was not possible to accurately determine the patients’ physical activities at specific times. It is difficult for patients to accurately record activities by the minute, or accurately recall activities over longer periods of time [24]. Most patients in this study had inaccurate recordings, and patients frequently forgot to record any activities at all. The resulting activity logs were not useful for comparison with pulse oximetry results. It has been reported that patients with COPD are markedly inactive in daily life [25], and that the reduction in physical activity starts in the early stages of the disease, even before COPD is diagnosed [26]. It is therefore possible that the minimal desaturations recorded in this study reflected reduced activity levels. Use of motion sensors such as accelerometers seems to be a promising alternative to patient-reported activity logs. Only one previous study reported concomitant measurement of SpO2 and physical activity by oximeter, accelerometry and actigraphy, respectively [27]. However, the analysis in this study divided activities into only four categories: walking, slow-intermittent-walking, active-not-walking, and resting. These broad classifications are not sufficient for linking desaturation profiles with activities of daily living. Second, the influence of COHb on SpO2 values in the 12 current smokers was not assessed, because the COHb concentrations were not measured. Therefore, we excluded the current smokers from our analyses, and it remains unknown whether ambulatory oximetry monitoring is reliable in smokers. Finally, oximetry monitoring was performed only once, as in the previous studies. Only the study by Casanova et al. reported repeat 24-hour oximetry monitoring, at 1–3 weeks after the initial monitoring in 11 patients [11]. They did not find significant differences between the results of the two monitoring periods. Although it is necessary to investigate whether a single 24-hour monitoring period is sufficient for evaluation of the desaturation profile, it is difficult to perform monitoring over multiple periods because of patient discomfort and disturbance of activities of daily living while the monitor is attached.

Conclusions

Our 24-hour ambulatory oximetry monitoring provided precise data regarding the desaturation profiles of Japanese outpatients with COPD. Both daytime and nighttime desaturations were infrequent. The proportion of SpO2 values below 90% did not predict exacerbation of COPD.

Availability of supporting data

The data sets supporting the results of this article are included within the article and its additional files.

Declarations

Acknowledgements

We thank Mayumi Nakayama, Yoko Munemori, Chikayo Tarumi, and Miki Yamaoka at Osaka Police Hospital for carefully instructing the patients; Yoshinori Yamada at Teijin Pharma Limited and Yoshitomo Kawanishi at Teijin Home Healthcare Limited for technical advice and support; and all the subjects for their participation.

Authors’ Affiliations

(1)
Department of Respiratory Medicine, Osaka Police Hospital
(2)
Department of Internal Medicine, National Hospital Organization Kinki-Chuo Chest Medical Center
(3)
Department of Respiratory Medicine, Allergy and Rheumatic Diseases, Osaka University Graduate School of Medicine
(4)
Osaka Prefectural Medical Center for Respiratory and Allergic Diseases

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© Minami et al.; licensee BioMed Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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