Open Access

Study of correlation between forced vital capacity and demand for healthcare services in severe asthmatics

  • J.F. Castelluccio1,
  • R. Stirbulov2,
  • E.A. Perez3,
  • J.C.M. Oliveira4,
  • C.F. Donner5,
  • L.V.F. Oliveira6, 8Email author and
  • Z. Rasslan7
Multidisciplinary Respiratory Medicine201510:22

DOI: 10.1186/s40248-015-0020-5

Received: 11 March 2015

Accepted: 3 July 2015

Published: 22 July 2015

Abstract

Background

Involvement of the small airways may be related to increased severity and increased demand for health care services and incurring in high costs, private or for the healthcare system. The hyperinflation consequent to this involvement reduces lung volumes, such as FVC, FEV1 and SVC. The aim of this study was to evaluate the correlation between the predicted values of FVC, FEV1 and SVC with the demand for healthcare services by severe asthmatics.

Methods

We retrospectively evaluated in order of arrival, the medical records of 98 patients with severe asthma, in step 4 treatment in the intercritical period of the disease, correlating the number of times each patient sought health care services represented by admissions to the ER, ICU and hospital wards due to asthma, in the year before the last spirometry and the predicted values of FVC, FEV1 and SVC.

Results

Our sample showed a clear and significant negative correlation between the predicted values of FVC, FEV1 and SVC and demand for healthcare services.

Conclusion

For this sample we conclude, that reduced forced vital capacity correlated with asthma severity, defined by greater demand for care in the ER, ICU and hospital ward and was more evident in women.

Keywords

Asthma Healthcare utilization Vital capacity

Background

It is estimated that 10 % of asthma patients have the severe form of the disease with more frequent exacerbations and increased morbidity, resulting in increased demand for healthcare services such as admission to the emergency rooms (ER), to hospital wards and to intensive care units (ICU) incurring higher costs. Such direct and indirect costs are assigned to hospitalizations, drugs, school and work absenteeism [1]. In developing countries expenditures with severe asthma seriously affect household income contributing to the impoverishment of these patients [2].

The small airways have been considered as the primary site of obstruction to airflow in chronic inflammatory lung diseases such as severe asthma and differently from what was believed, these airways undergo the same inflammatory processes as the larger caliber ones. This involvement should be suspected whenever there are persistent symptoms such as chest tightness and cough, associated with absence of lung function impairment [3].

The assessment and early identification of patients prone to fatal or near-fatal events are paramount in management, prophylaxis, therapy and cost reduction in severe asthma. Spirometry is the most often used functional assessment to address and monitor obstructive pulmonary diseases such as asthma since the procedure is easy and noninvasive. Further, it correlates with obstruction of the small airways, has high reproducibility, low variability and lesser cost when compared to others. The Forced Expiratory Volume at first second (FEV1) %, Forced Vital Capacity (FVC)% and Slow Vital Capacity (SVC)% assess the function of the small airways and may be used as markers correlated with use of health care services [3].

Objective

To evaluate the correlation between decreased FVC, FEV1 and SVC and demand for healthcare services, such as admission to ER, to hospital ward and to ICU in severe asthma.

Methods

A retrospective evaluation was made of the last spirometric data of 114 patients out of a total of 740 asthmatic subjects. These were severe asthma patients enrolled at the outpatient clinic of Santa Casa de Sao Paulo, classified in order of arrival from 2005 to 2008. This study was submitted for review and approval by the Ethics and Human Research Committee, Santa Casa de Sao Paulo. The percentage of predicted FVC% and SVC% were the spirometry parameters used as a reference, in accordance with international guidelines for the execution of lung function tests established by the European Respiratory Society and American Thoracic Society [4] and Brazilian Society of Pneumology (SBPT) [5].

The spirometry measurements used corresponded to those of patients who were not defined as exacerbation patients. Exacerbation patients were those under regular treatment with inhaled corticosteroids and who required oral medication or those who were already using oral corticosteroids but who needed temporarily increased doses due to acute deterioration of their control condition [6]. We considered the number of times each patient sought healthcare services, such as admission to the ER, to hospital wards and ICU, because of asthma in the previous year and of the assessed spirometry parameters.

Correlation was established between the predicted values of FVC% and SVC% with use of the mentioned healthcare services. Other spirometry parameters such as predicted values of FEV1%, FEV1/FVC% and SVC-FVC difference were also evaluated. According American Thoracic Society (ATS), as inclusion criteria we adopted severe asthmatics [7] with spirometry performed in the intercritical period of the disease (out of exacerbation) and under full use of medication, compatible with the step 4 approved treatment by The Global Initiative for Asthma (GINA) [8] and guidelines of SBPT [9] (long lasting inhaled beta 2 adrenergic + long lasting inhaled corticosteroid). Exclusion criteria were other obstructive lung diseases or associated muscle, hematologic and cardiac diseases, asthma attack, current or prior smoking and obesity.

Spirometry was performed at the Lung Function Laboratory of the Santa Casa de Sao Paulo, by the same team of technicians. The device used was of the Koko brand, manufactured in 1998 by PDS Instrumentation Inc. Louisville, CO, USA, with a pneumotachograph, serial number 92528, coupled to a computer. We assessed the following spirometry parameters: 1. Percentage of predicted values of FVC%; 2. Percentage of predicted values of the SVC%; 3. Percentage of predicted values of FEV1%; 4. Percentage of predicted values of the ratio FEV/FVC; 5. % Difference SVC—FVC. We used SPSS (Statistical Package for Social Sciences), version 17.0, to obtain the results of statistical assessments. The study of the relationship between categorical variables was obtained by applying the Spearman and the Mann–Whitney correlation analyses for the entire sample. The adopted level of significance for tests and statistical analyses was 5 %.

Results

We studied 114 patients, 16 out of these were excluded for concomitant Chronic Obstructive Pulmonary disease (COPD) (15 patients) and Interstitial lung disease (1 patient) resulting in 98 asthmatic patients (n = 98), followed for over two years, with a mean age of 42 ± 19.3 years, 45 men and 53 women. They were at stage 4 of treatment using long lasting corticosteroids inhalers (budesonide-600 μg/day) and beta 2 adrenergic (formoterol-24 μg/day) or equivalent doses of other drugs of the same class. There was no statistical difference regarding age in both genders and spirometric variables, indicating homogeneity of the sample (Table 1).
Table 1

Means of ages and spirometry variables per gender of the studied population of 98 severe asthmatics patients

 

Men (n = 45)

Women (n = 53)

Total (n = 98)

 

Variables

Mean ± SD

Mean ± SD

Mean ± SD

p

Age

42.6 ± 21.1

41.4 ± 17.7

42.0 ± 19.3

0.69

%FVC

80.3 ± 23.4

75.0 ± 19.2

77.4 ± 21.3

0.43

%SVC

78.5 ± 19.8

75.1 ± 17.7

76.7 ± 18.7

0.46

%FEV1

55.7 ± 21.3

54.0 ± 21.0

54.8 ± 21.0

0.81

%FEV1/FVC

67.4 ± 17.0

69.0 ± 15.4

68.3 ± 16.1

0.73

%SVC/FVC

1.80 ± 8.15

0.11 ± 8.16

0.77 ± 8.17

0.59

Source: Pulmonary Function Laboratory, Santa Casa de Sao Paulo.

Means and Standard Deviation of ages and spirometry variables % Predicted values: FVC, Forced Vital Capacity; SVC, Slow vital Capacity; FEV1 Forced Expiratory Volume at 1st second; n (men) = 45, n (women) = 53, n (total) = 98 Mann–Whitney Test SD, Standard Deviation

Correlations between demand for ER and % of predicted values of FVC, SVC, FEV1, although weak, were significant (p < 0.05), the same also for the ratio demand for ER + ICU + HWR as a whole. (Table 2)
Table 2

Correlation between spirometry values and demand for healthcare services of the studied population of 98 severe asthmatics patients

Variable

%FVC

%SVC

%FEV1

%FEV1/FVC

%SVC-FVC

r

p

r

p

r

p

r

p

r

p

ER/year

−0.25

0.01

−0.22

0.02

−0.23

0.01

−0.15

NS

−0.06

NS

ICU

−0.15

NS

−0.18

NS

−0.16

NS

−0.07

NS

−0.03

NS

HWR

0.15

NS

0.13

NS

0.04

NS

0.15

NS

0.03

NS

ER + ICU + HWR

−0.25

0.01

−0.21

0.03

−0.23

0.01

−0.12

NS

−0.08

NS

% - Predicted values: FVC, Forced Vital Capacity; SVC, Slow Vital Capacity; FEV1 Forced Expiratory Volume at first second; NS,- not significant; ER/year, demand for emergency room /year; ICU, demand for Intensive Care Unit; HWR, referral to hospital wards; ER+ ICU+ HWR, referral to emergency room + Intensive care unit + Hospital wards. n = 98 (53 women and 45 men)

Sample stratification in genders showed negative and significant correlations in women between demand for ER and values of spirometry (FVC%, %SVC, FEV1% and FEV1/FVC% with r =− 0.44, p = 0.001, r = − 0.41, p = 0.002, r = − 0.50, p <0.001, r = − 0.42, p = 0.002, respectively), as well as the need for ICU (%FVC, %SVC, with %FEV1 r = − 0.38, p = 0.004, r = − 0.36, p = 0.008, r = − 0.27, p = 0.048 respectively), hospital ward (%FVC, %FEV1 and r = − 0.31, p = 0.022, r = − 0.34, p = 0.012 respectively).

There are also significant and negative correlations when taking into account the demand for all healthcare services (ER + ICU + HWR) with (%FVC, %SVC, %FEV1 and %FEV1/FVC with r = − 0.43, p = 0.001, r = − 0.38, p = 0.005, r = − 0.49, p <0.001, r = − 0.38, p = 0.004, respectively) (Table 3). No significance was found between ER, the need for ICU, hospital ward and ICU and all three together ER + ICU + HWR and the values of spirometry % (SVC-FVC) (r = − 0.12, r = − 0.11, r = − 0.25, r = − 0.21), respectively. A similar situation occurred with the demand for ICU and hospital ward in relation to the variable %FEV1/FVC (r = − 0.03, r = − 0.25), respectively (Table 3). In the male gender no significant values for any of the spirometry variables studied and demand for healthcare services were observed. (Table 3).
Table 3

Correlation between spirometry values and demand for healthcare services by gender of the studied population of 98 severe asthmatics patients

Variables

Gender

% FVC

 

% SVC

% FEV1

% FEV1/FVC

% SVC-FVC

r

p

r

p

r

p

r

p

r

p

ER

M

−0.03

NS

−0.02

NS

−0.11

NS

−0.18

NS

−0.09

NS

W

−0.44

0.001

−0.41

0.002

−0.50

0.001

−0.42

0.002

−0.12

NS

ICU

M

− 0.11

NS

− 0.02

NS

−0.008

NS

−0.11

NS

−0.14

NS

W

−0.38

0.004

−0.36

0.008

−0.27

0.048

−0.03

NS

−0.11

NS

HWR

M

−0.01

NS

−0.008

NS

−0.02

NS

−0.13

NS

−0.01

NS

W

−0.31

0.022

−0.25

NS

−0.34

0.012

−0.25

NS

−0.25

NS

Er + ICU + HWR

M

−0.03

NS

−0.03

NS

−0.09

NS

−0.19

NS

−0.07

NS

W

−0.43

0.001

−0.38

0.005

−0.49 < 0.001

 

−0.38

0.004

−0.21

NS

M, Men; W, Women; ER, demand for the emergency room / year; ICU, demand for admission to the Intensive Care Unit; HWR, Hospital ward / year; FVC, forced vital capacity; SVC, slow vital capacity; FEV1,forced expiratory volume in 1st second; NS, not significant

Discussion

Severe or refractory asthma affects a small percentage of asthmatics (probably less than 10 %), nevertheless it represents a challenging condition for the patient and the physician in charge [10]. Asthma is physiologically characterized by flow limitation, bronchial hyperreactivity, airway narrowing and/or occlusion, also by loss of lung elasticity and air trapping each of which may be assessed and monitored by spirometry.

Severe asthma correlates with an increased number and greater severity of exacerbations, therefore a frequent demand for healthcare services encompassing admission at the ER, hospital wards and need for ICU contributing to increased mortality, and private and health system expenditures. Bahadori et al. found in their studies that the average annual direct cost of patients with severe asthma in the United States was 1.3 times higher than that of those with moderate asthma and 1.7 times that of mild asthma. In Spain, between 1994 and 1995, the cost of a patient with severe asthma was three times higher than that of one with moderate asthma and 5 times that of one with mild asthma [1].

Early assessment and identification of patients with severe asthma, who therefore are prone to fatal or near-fatal events is paramount in management, prophylaxis, therapy, and cost reduction.

Our study showed that there is negative and significant correlation (p <0.05) between the demand for health care services and the predicted values of FEV1, FVC and SVC in severe asthmatics (Table 2). These results are consistent with data from literature which also report a decrease in FEV1 associated with an increased risk of asthma exacerbations, as well as an inverse relation between its value and higher risk of fatal or near-fatal asthma [11]. The TENOR study, which established a risk score that accurately predicts the demand for healthcare services by adults with severe asthma found that FEV1 and FEV1/FVC ratio were not as predictive as the FVC. It detected that the reduction in FVC may be an important variable, since in addition to showing air trapping in the obstructive disease, it may also disclose restriction associated with obesity. Furthermore, air trapping and lung hyperinflation are associated with a greater frequency of severe asthma exacerbations [11].

Overall, 239 (8.5 %) of the TENOR subjects studied reported a hospitalisation or an ED visit for asthma at 6-month follow up. The number of points assigned is positively associated with the percentage of patients with a hospitalization or an ED visit in that component category.

Despite the fact that the TENOR risk score has limitations related to external validity, or generalisability, because the study population does not represent all asthma patients but only severe or difficult-to-treat adult asthma patients, the authors concluded that the identification of clinical factors in patients with severe or difficult-to-treat asthma that are associated with future healthcare use may improve asthma patient management and ultimately reduce the burden of disease on the overall healthcare system [11].

Sorkness et al. [12] also showed that air trapping is prevalent in severe asthma as shown by reduced FVC over the entire interval FEV1/FVC. Despite these associations, patients with fatal or near-fatal asthma may show no changes in the baseline spirometry test [13]. This may explain the weak correlation in the ratio, %FEV1/FVC in relation to demand for healthcare services (need for ICU and hospital ward) respectively, as found herein (Table 2).

The results of this study (see Table 2) showed the correlations between the values of spirometry (FVC%, FEV1% and SVC%) and asthma severity criteria represented by the demand for admission in the ER, need for ICU or hospital ward as well as the total showed weak, negative correlation when both genders were evaluated together. Even though weak, this correlation showed significance for the demand for care in the ER and the sum of admissions (ICU+ ER + HWR). These findings reinforce the idea that reductions in these variables may indicate asthma severity and agree with data of other authors showing that the best predictors of demand for healthcare in the ER by patients with severe asthma were the reduction of FEV1% and FVC% [11, 12, 14, 15].

The analysis in relation to gender revealed no significance for % FVC predicted values, %SVC, %FEV1, %FEV1/FVC and % (SVC-CVF) and the demand for health care services (ER admission, need for ICU referral to hospital ward, individually or together (ER + ICU+ HWR) due to asthma in males (Table 3). These findings may be explained by the existence among participant men of a subset of “bad perceivers” who although at spirometry present values compatible with fixed airway obstruction, do not perceive symptoms and therefore do not seek medical care [16].

Findings by Teeter and Bleecker [17] demonstrated that 17 % of the patients studied did not show any symptoms, despite their low spirometry values.

The female gender, included in our study, showed a negative correlation, more consistent and significant (p <0.05) between the spirometry values %FVC, %SVC, %FEV1, %FEV1/FVC and %FVC- SVC and demand for healthcare services: admission to ER and (ER + ICU+ HWR) as a whole (Table 3). The findings of this study are similar to those of other authors, which showed that the female gender more often seek healthcare services [18]. Prescott et al. [19] found that women had a 70 % higher risk of being admitted to the hospital due to asthma when compared to men. Another study showed that asthmatic women were hospitalized 2.5 to 3 times more often than men [20].

The correlations between values of %FVC, %SVC, %FEV1 and %FEV1/FVC and demand for healthcare services in asthmatic women (ER + ICU + HWR) were stronger and significant (r = − 0.43 p = 0.001) (r = − 0.38, p = 0.005), (r = − 0.49, p = <0.001) and (r = − 0.38, p = 0.004) compared to men (Table 3). These findings suggest that in women asthma is potentially more serious than in men.

Gelb et al. [21] showed that lung elasticity in patients with chronic persistent asthma contributes significantly to clinical complications, as is the case of near-fatal asthma. Loss of lung elasticity was associated with increasing age, disease duration and severity of expiratory airflow limitation, using as a signal the %FEV1 post-bronchodilator. However, this study shows, as a limitation, absence of aspects related to FVC behavior. This author further stresses that for many reasons, studies of pulmonary function are not obtained in most patients when they are clinically stable, before and after episodes of near-fatal asthma [22]. In our study, spirometry values were considered during the intercritical period of the disease and findings show that in women forced vital capacity, slow vital capacity and forced expiratory volume in the first second correlate negatively and significantly with the demand for healthcare services (Table 3).

More specifically, FVC and FEV1 were significant in relation to admissions to ER, need for ICU, hospital ward individually and/or together (ER + ICU + HWR), indicating its usefulness for the assessment of severe asthma in the intercritical period of the disease (off exacerbation) in daily practice (Table 3).

Airway occlusion is the most serious type of obstruction and assessing changes in FVC may supply information about the pathophysiology of asthma, which does not appear when considering changes in FEV1. We stressed FVC, which showed significant correlation with the use of healthcare services for women with severe asthma (Table 3). It was noted that in women, the correlation (r), although weak, showed higher and significant negative values (p <0.05) when compared to men, indicating that this is not due to chance.

Scientific evidences have shown several phenotypes of severe asthma, requiring the integration of measurements of airflow limitation, airway reactivity, small airway disease, lung elasticity and perception of dyspnea to explain and diagnose properly this heterogeneous disease [20, 23].

Conclusions

We conclude that in severe asthmatics patients reduced FVC correlated with asthma severity, defined by greater demand for care in the ER, ICU and hospital ward, and was more evident in women.

Declarations

Acknowledgments

LVFO receive grants of Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (local acronym CNPq; Research Productivity modality PQIB; process no. 313053/2014-6). The authors would also like to thank the technicians from the pulmonary function laboratory of Santa Casa of Sao Paulo School of Medicine and Hospitals of Sao Paulo, the Sao Paulo Uroclinic and Mr. Euro Couto de Barros Junior for their contributions.

This work was conducted in Department of Internal Medicine and Pulmonology of the University Hospital of the School of Medical Sciences of Santa Casa de Sao Paulo.

Disclosure

The authors have nothing to declare or disclose.

Authors’ Affiliations

(1)
Assistant Professor Internal Medicine Department, Santa Casa School of Medicine and Hospitals of São Paulo
(2)
Associate Professor Internal Medicine Department – Pneumology, Santa Casa School of Medicine and Hospitals of São Paulo
(3)
Master Degree Program in Research in Surgery of Santa Casa School of Medicine of Sao Paulo (FCMSCSP)
(4)
Rehabilitation Sciences PhD Program, Nove de Julho University
(5)
Mondo Medico, Multidisciplinary and Rehabilitation Outpatient Clinic
(6)
Rehabilitation Sciences Master and PhD Program, Nove de Julho University
(7)
Assistant Professor Internal Medicine Department, Santa Casa School of Medicine and Hospitals of São Paulo
(8)

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Copyright

© Castelluccio et al. 2015

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