Severe hypoalbuminemia is a strong independent risk factor for acute respiratory failure in COPD: a nationwide cohort study

Abstract

Background

Acute respiratory failure (ARF) is a life-threatening event, which is frequently associated with the severe exacerbations of chronic obstructive pulmonary disease (COPD). Hypoalbuminemia is associated with increased mortality in patients with COPD. However, to date, little is known regarding whether or not hypoalbuminemia is a risk factor for developing ARF in COPD.

Methods

We conducted a retrospective cohort study using data from the National Health Insurance system of Taiwan. A total of 42,732 newly diagnosed COPD patients (age ≥40 years) from 1997 to 2011 were enrolled. Among them, 1,861 (4.36%) patients who had received albumin supplementation were defined as hypoalbuminemia, and 40,871 (95.6%) patients who had not received albumin supplementation were defined as no hypoalbuminemia.

Results

Of 42,732 newly diagnosed COPD patients, 5,248 patients (12.3%) developed ARF during the 6 years follow-up period. Patients with hypoalbuminemia were older, predominantly male, had more comorbidities, and required more steroid treatment and blood transfusions than patients without hypoalbuminemia. In a multivariable Cox regression analysis model, being elderly was the strongest independent risk factor for ARF (adjusted hazard ratio [HR]: 4.63, P<0.001), followed by hypoalbuminemia (adjusted HR: 2.87, P<0.001). However, as the annual average dose of albumin supplementation was higher than 13.8 g per year, the risk for ARF was the highest (adjusted HR: 11.13, 95% CI: 10.35–11.98, P<0.001).

Conclusion

Hypoalbuminemia is a strong risk factor for ARF in patients with COPD. Therefore, further prospective studies are required to verify whether or not albumin supplementation or nutritional support may help to reduce the risk of ARF in patients with COPD.

Introduction

Chronic obstructive pulmonary disease (COPD) is characterized by progressive, partially reversible airflow obstruction and lung hyperinflation with significant extra-pulmonary manifestations and comorbid conditions.^1–3 It is the fourth leading cause of chronic morbidity and mortality in the US⁴ and is projected to rank fifth in 2020 in terms of burden of disease worldwide.^5,6 The natural course of COPD includes progressively declining lung function and a number of episodic exacerbations, which is defined as a worsening of respiratory symptoms requiring treatment with oral corticosteroids or antibiotics.⁷ Acute exacerbation (AE) is highly correlated with increased emergency department (ED) visits, respiratory failure, hospitalizations, and deaths in patients with COPD.^8,9

Acute respiratory failure (ARF) is a common and life-threatening event, which is frequently associated with severe AE of COPD.¹⁰ Short-term or long-term outcomes following ARF in COPD are poor, with a 2-year mortality rate of 49% and quite frequent intervals of readmission.¹¹ In addition, several patients with COPD develop prolonged invasive ventilation following ARF, which is another critical issue in terms of health care in cases of COPD.¹² Therefore, greater effort with regards to the prevention and recognition of COPD at risk of ARF is needed to decrease its ever-increasing impact.

Hypoalbuminemia is the result of the combined effects of inflammation and inadequate protein and caloric intake in patients with chronic disease.¹³ Several studies have shown that hypoalbuminemia is associated with increased mortality in patients with COPD^11,14,15 and is also an independent risk factor for a prolonged length of stay in AE of COPD.¹⁶ However, whether or not hypoalbuminemia is a risk factor for developing ARF in COPD remains known.¹⁷

This study attempts to determine if hypoalbuminemia is a risk factor for developing ARF in COPD. We conducted a retrospective cohort study using nationwide population-based data, the National Health Insurance Research Database (NHIRD) of Taiwan.

Materials and methods

Data source

Data in the present study were retrieved from LHID2000, a part of Taiwan’s NHIRD. The NHIRD stores the claim data of Taiwan’s National Health Insurance (NHI), which is a NHI program implemented by Taiwanese government in 1995. Enrollment in the NHI program is compulsory for all Taiwanese citizens and those residents with an Alien Resident Certificate. The NHI covers >98% of the population in Taiwan and provides a broad range of comprehensive medical services. The NHIRD comprises information about diagnoses (coded in International Classification of Diseases, Version 9, Clinical Modification [ICD-9-CM]), clinical procedures, and medications for outpatient and inpatient visits as well as patients’ sociodemographic status. LHID2000 is a randomized sample of one-million out of 23-million beneficiaries in Taiwan’s NHIRD in 2000. By use of an encrypted unique identification number for each of the individuals, the claim data of the one-million patients from 1997 to 2011 were linked.

Study population and study design

We identified 65,421 incident COPD patients (aged >40 years) in LHID2000 from 1997 to 2011. They were first diagnosed as COPD (ICD-9-CM code: 491, 492, or 496) either based on their outpatient records as more than twice within the 365 days or at least once in inpatient records from 2000 to 2011.

Definition of hypoalbuminemia

As we could not obtain the serum albumin level from the NHIRD, we used the frequency of albumin supplementation to define the severity of hypoalbuminemia in this study. Albumin supplementation is covered by our health insurance program when a patient’s serum albumin level is <2.5 g/dL with underlying disease, such as liver cirrhosis, nephrotic syndrome, severe burn, or shock. However, in actual clinical practice, many physicians prescribe albumin to patients only because of low serum albumin level (<2.5 g/dL), but do not consider the underlying disease.

To avoid baseline inequity of albumin level, we excluded those who had been supplied with albumin before a COPD diagnosis was made. To focus on the role of malnutrition to the development of respiratory failure in COPD patients, patients with prior histories of liver cirrhosis or nephritic syndrome were excluded (Figure 1). A total of 42,732 newly diagnosed COPD patients were enrolled into the data analysis. Among them, 1,861 (4.36%) patients who had been supplied with albumin during their follow-up period and were classified as the hypoalbuminemia group; 40,871 (95.6%) patients had never been supplied with albumin were classified as control group. The annual cumulative amount of albumin injections was also calculated. Patients in hypoalbuminemia group were further classified into two groups (≤13.8 g per year, >13.8 g per year; 13.8 g per year is the median amount of albumin supplementation) according to the amount of albumin they received. Severe hypoalbuminemia was defined as patients receiving albumin supplementation of 1,250 mg per year or more. The follow-up period of this study started from the date of a first diagnose of COPD (index date) to the date of the occurrence of ARF, attrition from NHI, or December 31, 2011, whichever came first.

Figure 1.

Flow chart of patient enrollment.

Definitions of comorbidities

The occurrence of ARF was defined as diagnosis of ARF (ICD-9-CM code: 518.81) and use of invasive or noninvasive mechanical ventilations during hospitalization. Other potential confounding factors were also identified, including sociodemographic characteristics (ie, age, sex, occupation, and urbanization level of living area), comorbidities related to the risk of ARF (ie, end-stage renal disease [ESRD], diabetes mellitus, hypertension, ischemic heart disease [IHD], stroke, Parkinson’s disease, malignancies), and treatments such as use of steroid and blood transfusion. The occupations of patients were presented as four types according to the classification of beneficiaries in NHI; type I included civil servants, most employees, employers, and independently practicing professionals or technicians; type II included workers without particular employers or those who were self-employed, seamen or master mariners serving on foreign vessels; type III were mostly farmers and fishermen; type IV–VI mainly included members of low-income families, veterans and their families, and others. An index of the urbanization level of Taiwan’s townships, which was essentially developed for large-scale surveys in Taiwan, was applied in this study. ESRD and malignancies were identified as a patient registered in catastrophic illness database in NHIRD for dialysis (ICD-9-CM code: 585.xx) or for broad range of malignancies (ICD-9-CM codes: 140.xx–239.xx), respectively. Diabetes (ICD-9-CM code: 250.xx), hypertension (ICD-9-CM codes: 401.xx or 402.xx), IHD (ICD-9-CM codes: 410.xx–414.xx), stroke (ICD-9-CM codes: 430.xx–438.xx), and Parkinson’s disease (ICD-9-CM code: 232.xx) were identified if they were presented as diagnoses in patients’ outpatient records more than twice within the 365 days or at least once in inpatient records from index date to the end of follow-up. In addition, we also counted the annual number of ED visits and hospitalizations of study patients. The annual number of ED visits and hospitalizations were dichotomized by median. Use of steroid and blood transfusion were also identified by surveying the patients’ medication records in NHIRD.

Statistical analysis

Sociodemographic characteristics, comorbidities, and clinical procedures including medications were compared between albumin group and control group; similar comparisons were also performed between the group with and without development of ARF. Categorical variables were compared by using chi-square test, and continuous variables were compared by Student’s t-test. Cox proportional hazard regression model was performed to elucidate the associations of albumin supplementation and other risk factors with the risk of developing ARF. Univariable and multivariable regression analyzes were both performed to yield the crude hazard ratios (HRs), adjusted HRs, and their 95% of confidence intervals. Adjusted HR of albumin supplementation on the risk of ARF was estimated after adjustment for aforementioned risk factors including sociodemographic characteristics, comorbidities, use of steroid, receive of blood transfusion. Finally, a Cox regression analysis was further presented to delineate how the adjusted HR varied with the dose of albumin supplementation compared with those who had never been supplied with albumin. Data management and data analyzes were performed by using SAS/STAT^® software, version 9.3 for Windows (SAS Institute Inc., Cary, NC, USA.).

Results

A total of 42,732 newly diagnosed COPD patients (57% male, mean age: 66 years) were enrolled in this study. Among them, 12.3% of the patients (n=5,248) developed ARF during the 6-year follow-up period.

The mean follow-up period of hypoalbuminemia group was 5.6 years, which was shorter than the control group (6.2 years). Table 1 shows that patients with hypoalbuminemia were older and more likely to be male, have a type-III occupation (ie, farmers, fishermen, low-income family, veterans and families, and others), and live in less urbanized areas. They also had more chronic diseases (including diabetes, hypertension, IHD, stroke, Parkinson’s disease, and malignancies) and were more likely to receive treatments such as steroids and blood transfusion as compared with the control group. However, despite these differences, the crude mortality rates were similar between two groups.

Table 1.

Demographic and clinical characteristics of COPD patients with and without hypoalbuminemia

Characteristics	No hypoalbuminemia (n=40,871)	Hypoalbuminemia (n=1,861)	P-value
Duration of follow-up, months
Mean ± SD	73.96±44.08	67.21±48.27	<0.001
Sex
Female	17,660 (43.21)	601 (32.29)	<0.001
Male	23,211 (56.79)	1,260 (67.71)
Age (years)
40–54	10,268 (25.12)	120 (6.45)	<0.001
55–64	8,463 (20.71)	191 (10.26)
65–74	10,751 (26.30)	544 (29.23)
75+	11,389 (27.87)	1,006 (54.06)
Mean ± SD	65.69±13.23	74.66±10.78	<0.001
Occupation*
I	15,368 (37.60)	546 (29.34)	<0.001
II	7,071 (17.30)	199 (10.69)
III	10,396 (25.44)	598 (32.13)
IV–VI	8,036 (19.66)	518 (27.83)
Urbanization of living area
I (highest)	10,865 (26.71)	432 (23.29)	<0.001
II	11,295 (27.77)	439 (23.67)
III	6,728 (16.54)	336 (18.11)
IV (lowest)	11,785 (28.97)	648 (34.93)
ESRD
Without	40,508 (99.11)	1,831 (98.39)	<0.001
With	363 (0.89)	30 (1.61)
DM
Without	27,817 (68.06)	1,083 (58.19)	<0.001
With	13,054 (31.94)	778 (41.81)
Hypertension
Without	13,711 (33.55)	436 (23.43)	<0.001
With	27,160 (66.45)	1,425 (76.57)
IHD
Without	24,146 (59.08)	822 (44.17)	<0.001
With	16,725 (40.92)	1,039 (55.83)
Stroke
Without	34,898 (85.39)	1,261 (67.76)	<0.001
With	5,973 (14.61)	600 (32.24)
Parkinson disease
Without	38,429 (94.03)	1,653 (88.82)	<0.001
With	2,442 (5.97)	208 (11.18)
Malignancy
Without	37,802 (92.49)	1,577 (84.74)	<0.001
With	3,069 (7.51)	284 (15.26)
Steroid
Without	36,764 (89.95)	1,623 (87.21)	<0.001
With	4,107 (10.05)	238 (12.79)
Blood transfusion
Without	34,204 (83.69)	300 (16.12)	<0.001
With	6,667 (16.31)	1,561 (83.88)
ARF
Without	36,578 (97.58)	4,293 (81.80)	<0.001
With	906 (2.42)	955 (18.20)

Notes: Data values are presented as number (%) unless otherwise stated.

^*The occupations of patients were presented as four types according to the classification of beneficiaries in NHI; type I included civil servants, most employees, employers, and independently practicing professionals or technicians; type II included workers without particular employers or those who were self-employed, seamen or master mariners serving on foreign vessels; type III were mostly farmers and fishermen; type IV–VI mainly included members of low-income families, veterans and their families, and others.

Abbreviations: ARF, acute respiratory failure; ESRD, end-stage renal disease; DM, diabetes mellitus; IHD, ischemic heart disease; NHI, Taiwan’s National Health Insurance; SD, standard deviation.

Table 2 presents the cumulative risk and crude HR of ARF for patients in different subgroups. In the univariable analysis, patients with hypoalbuminemia during the follow-up period were 5.35 times more likely to develop ARF than controls. Other covariates listed in Table 2 were also associated with the risk of ARF.

Table 2.

Demographic and clinical characteristics of COPD patients with (n=5,248) and without (n=37,484) developing ARF

Characteristics	ARF		Crude HR (95% CI)	P-value
	Without, %	With, %
Hypoalbuminemia
Without	89.5	10.5	Ref
With	48.68	51.32	5.35 (4.98–5.74)	<0.001
Steroid
Without	89.09	10.91	Ref
With	75.6	24.4	2.25 (2.10–2.41)	<0.001
Blood transfusion
Without	91.09	8.91	Ref
With	73.6	26.4	2.70 (2.50–2.86)	<0.001
Sex
Female	90.46	9.54	Ref
Male	85.67	14.33	1.55 (1.46–1.64)	<0.001
Age (years)
40–54	97.66	2.34	Ref
55–64	94.25	5.75	2.59 (2.22–3.02)	<0.001
65–74	85.68	14.32	6.18 (5.40–7.08)	<0.001
75+	76.68	23.32	11.33 (9.93–12.92)	<0.001
Occupation*
I	90.86	9.14	Ref
II	93.04	6.96	0.77 (0.69–0.85)	<0.001
III	83.9	16.1	1.73 (1.62–1.86)	<0.001
IV–VI	82.25	17.75	1.88 (1.75–2.02)	<0.001
Urbanization of living area
I (highest)	90.33	9.67	Ref
II	89.08	10.92	1.12 (1.03–1.21)	0.007
III	86.93	13.07	1.37 (1.26–1.50)	<0.001
IV (lowest)	84.43	15.57	1.60 (1.49–1.73)	<0.001
ESRD
Without	87.81	12.19	Ref
With	77.86	22.14	1.67 (1.35–2.07)	<0.001
DM
Without	89.3	10.7	Ref
With	84.42	15.58	1.36 (1.29–1.44)	<0.001
Hypertension
Without	91.59	8.41	Ref
With	85.8	14.2	1.52 (1.42–1.62)	<0.001
IHD
Without	90.21	9.79	Ref
With	84.22	15.78	1.39 (1.32–1.47)	<0.001
Stroke
Without	90.87	9.13	Ref
With	70.41	29.59	3.16 (2.99–3.34)	<0.001
Parkinson disease
Without	88.49	11.51	Ref
With	76.04	23.96	2.00 (1.84–2.17)	<0.001
Malignancy
Without	87.84	12.16	Ref
With	86.28	13.72	0.99 (0.90–1.09)	0.818

Notes:

^*The occupations of patients were presented as four types according to the classification of beneficiaries in NHI; type I included civil servants, most employees, employers, and independently practicing pro fessionals or technicians; type II included workers without particular employers or those who were self-employed, sea men or master mariners serving on foreign vessels; type III were mostly farmers and fishermen; type IV–VI major included members of low-income families, veterans and their families, and others.

Abbreviations: ARF, acute respiratory failure; HR, hazard ratio; CI, confidence interval; Ref, reference group; ESRD, end-stage renal disease; DM, diabetes mellitus; IHD, ischemic heart disease; NHI, Taiwan’s National Health Insurance.

Adjusted HR estimated in the multivariable Cox regression analysis is presented in Table 3. After adjustment for sociodemographic factors, comorbidities, treatment of steroid and blood transfusion, the HR of ARF related to hypoalbuminemia attenuated but was still statistical significant (AHR: 2.87 [95% CI: 2.65–3.10]). In addition, older age, male sex, treatment of steroid, less urbanized living areas, comorbid with ESRD, diabetes, Parkinson’s disease, and stroke were related to a higher risk of ARF; nevertheless, patients who were comorbid with hypertension, IHD, and malignancies and had received blood transfusion were less likely to develop ARF after adjustment for other risk factors.

Table 3.

Adjusted hazard ratio of ARF related to patient’s characteristics

Parameters	AHR	95% CI	P-value
Hypoalbuminemia
With vs without	2.87	2.65–3.10	<0.001
Use of steroid
Ever vs never	1.97	1.84–2.11	<0.001
Blood transfusion
Ever vs never	0.74	0.70–0.79	<0.001
Age (years)
40–54	Ref
55–64	2.36	2.02–2.75	<0.001
65–74	4.63	4.02–5.34	<0.001
75+	7.48	6.51–8.60	<0.001
Sex
Male vs female	1.32	1.24–1.40	<0.001
Occupation*
I	Ref
II	1.01	0.91–1.12	0.866
III	0.95	0.87–1.03	0.222
IV–VI	1.08	1.00–1.16	0.060
Urbanization of living area
I (highest)	Ref
II	1.06	0.97–1.15	0.188
III	1.17	1.07–1.28	0.001
IV (lowest)	1.25	1.15–1.37	<0.001
ESRD
With vs without	1.27	1.02–1.57	0.031
DM
With vs without	1.12	1.06–1.18	0.000
Hypertension
With vs without	0.83	0.77–0.89	<0.001
IHD
With vs without	0.93	0.88–0.99	0.019
Parkinson’s disease
With vs without	1.11	1.02–1.20	0.021
Stroke
With vs without	1.90	1.79–2.02	<0.001
Malignancy
With vs without	0.72	0.65–0.79	<0.001

Notes:

^*The occupations of patients were presented as four types according to the classification of beneficiaries in NHI; type I included civil servants, most employees, employers, and independently practicing pro fessionals or technicians; type II included workers without particular employers or those who were self-employed, sea men or master mariners serving on foreign vessels; type III were mostly farmers and fishermen; type IV–VI major included members of low-income families, veterans and their families, and others.

Abbreviations: ARF, acute respiratory failure; AHR, adjusted hazard ratio; CI, confidence interval; Ref, reference group; ESRD, end-stage renal disease; DM, diabetes mellitus; IHD, ischemic heart disease; NHI, Taiwan’s National Health Insurance.

Figure 2 shows that adjusted HR of ARF increased with the annual average dose of albumin supplementation. If the average dose of albumin injection was lower than 13.8 g per year, the adjusted HR slightly increased to 1.69 (95% CI: 1.52–1.87). If the annual average dose was higher than 13.8 g per year, which was defined as severe hypoalbuminemia, the risk was even higher (AHR: 11.13, [95% CI: 10.35–11.98]) than no supplementation of albumin.

Figure 2.

Adjusted hazard ratios of risk of acute respiratory failure associated with annual average dose of albumin supplementation.

Note: Severe hypoalbuminemia is defined as average dose of albumin supplementation >13.8 g per year.

Abbreviations: HR, hazard ratio; yr, year.

Discussion

To the best of our knowledge, this is the largest cohort of data concerning the risk of hypoalbuminemia in the development of ARF in patients with COPD. Our data showed that being elderly was the strongest independent risk factor for ARF (adjusted HR: 4.63, P<0.001), followed by hypoalbuminemia (adjusted HR: 2.87, P<0.001). However, as the annual average dose of albumin supplementation was higher than 13.8 g per year, which was defined as severe hypoalbuminemia, the risk for ARF was the highest (AHR:11.13, 95% CI: 10.35–11.98, P<0.001).

The outcome is poor when a COPD patient develops ARF during an AE.¹⁸ Over one-third of patients died during hospitalization¹⁹ and survival is particularly reduced (50%) when mechanical ventilation is required.^18,20 Furthermore, the long-term survival is still poor in patients receiving noninvasive ventilation, showing that the 5-year survival rate is only 23.7%.²¹ Thus, the prevention of exacerbations or ARF is now recognized as a primary goal of maintenance therapy for COPD.²² According to the Global Initiative for Chronic Obstructive Lung Disease guideline, vaccinations and several pharmacotherapies, such as long acting bronchodilators and inhaled corticosteroid, have been proved to be effective in the prevention of exacerbation of COPD.^23,24 Nutrition has been the topic of extensive scientific research in COPD; however, clinical awareness of the impact of dietary habits and nutritional status on COPD progression and outcome is relatively limited.²⁵ Based on the findings of this study, we suggest that COPD patients should have a routine nutritional assessment and consultant once their diagnosis has been made. However, it may require further prospective study to verify whether albumin supplementation or nutritional support may reduce the risk of ARF in patients with COPD.

The prevalence and features of COPD patients with AE have been studied extensively,^26–29 but the risk factors for ARF are poorly identified. In the current study, we showed that the comorbidities related to the risk of ARF included ESRD, diabetes mellitus, stroke, Parkinson’s disease and stroke, which is compatible with previous studies.³⁰ In addition, COPD patients requiring systemic steroid or blood transfusion represent more severe disease condition, which is reasonably associated with higher risks of ARF.^31,32

Serum albumin level is one of the assessment tests for malnutrition in COPD.³³ However, few studies have focused on the role of serum albumin level as it relates to the development of ARF in COPD. There have been a number of studies investigating the association between albumin level and disease outcomes. For general hospitalized patients, lower serum albumin levels correlate with an increased risk of morbidity and mortality.³⁴ Hypoalbuminemia has also been shown as an important prognostic factor among a variety of diseases, such as severe sepsis, burns,³⁵ and regional enteritis (Crohn disease).³⁶ It is also associated with an increased risk of reintubation in postanesthetic general surgical patients.³⁷ In the current study, we confirmed that hypoalbuminemia is a strong risk factor for ARF in COPD.

This study had both strengths and limitations. Major strengths include the large number of COPD patients as well as a long follow-up period (average 6 years) in the NHIRD cohort. A limitation of the study is that information about COPD diagnosis was derived from ICD-9-CM and may not be completely accurate. Second, although we have adjusted the potential confounding factors and comorbidities related to the risk of ARF, the other confounding factors, such as body mass index, pulmonary function test were not available from this dataset. Third, the policy of albumin supplementation is offered by national health system in Taiwan, which limits the generalizability of such study to other health care systems.

In conclusion, hypoalbuminemia is a strong risk factor for ARF in patients with COPD. Severe hypoalbuminemia, which is defined as annual average dose of albumin supplementation higher than 13.8 g per year, is the strongest risk factor. Therefore, further prospective studies are needed to verify whether albumin supplementation or nutritional support may reduce the risk of ARF in patients with COPD.