Abstract
Study Design:
observational study
Objective:
Assess associations between vitamin D levels and other risk factors on future chest illness in a chronic spinal cord injury (SCI) cohort.
Setting:
Veterans Affairs Boston and the Boston, MA community
Methods:
Between August 2009 and August 2017, 253 participants with chronic SCI were followed over a median of 3.2 years (up to 7.4 years) with two to four visits a median of 1.7 years apart. At each visit, plasma 25-hydroxyvitamin D level was obtained, spirometry performed, and a respiratory questionnaire assessing chest illnesses since last visit was completed. Repeated measures negative binomial regression was used to assess chest illness risk longitudinally.
Results:
At entry, 25% had deficient vitamin D levels (<20 nanograms/milliliter (ng/ml)), 52% were insufficient (20 to <30 ng/ml), and 23% were sufficient (≥30 ng/ml). Over 545 study visits, chest illnesses (n=106) were reported by 60 participants. In multivariable models (including previous chest illness history), deficient vitamin D levels (compared to those with sufficient levels) were associated with future chest illness though with wide confidence limits (relative risk (RR)=1.36, 95% confidence intervals (CI)=0.74, 2.47). The strongest association with chest illness during the follow-up period was in persons who reported pneumonia/bronchitis after injury and a chest illness in the three years before study entry (RR=7.62; 95% CI=3.70, 15.71).
Conclusion:
Assessed prospeetively in chronic SCI, there was a suggestive association between deficient vitamin D levels and future chest illness. Past chest illness history was also strongly associated with future chest illness.
Introduction
Persons with chronic spinal cord injuries (SCI) are at risk for respiratory dysfunction which depends on the extent and completeness of SCI as well as increased morbidity and mortality from chest illnesses [1–4]. Evidence suggests vitamin D is an important metabolic factor that influences a variety of cellular processes related to immunity and respiratory health [5,6]. Compared to able-bodied persons, chronic SCI is associated with vitamin D deficiency or insufficiency likely due to a variety of factors including poor nutritional intake and lifestyle habits (such as tobacco use, reduced exposure to sun light, or decreased exercise) [7,8]. Several observational and cohort studies further suggest that low vitamin D levels may be a risk factor for respiratory tract infections in a number of non-SCI populations [9–12].
Members of our group previously studied a chronic SCI cohort between 1994 and 2005. We identified that neurologic level, severity, and duration of SCI were not associated with chest illness risk, but that self-reported wheeze, physician-diagnosed chronic obstructive pulmonary disease (COPD), smoking history, decreased FEV1, and pneumonia/bronchitis since SCI were risk factors [13]. Given the potential importance of vitamin D as a determinant of respiratory health, we conducted the current study to assess whether longitudinal measurements of vitamin D levels were associated with increased risk of chest illness and to consider risk factors for chest illness identified in the prior study.
Methods
Subjects
Between August 2009 and August 2017, we recruited 361 persons with chronic SCI to assess factors associated with respiratory health. Participants were recruited from persons receiving care at Veterans Affairs (VA) Boston, including participants from our previous study of SCI and chest illness [13], from the greater Boston area through advertisement, and by mail to persons who received care at Spaulding Rehabilitation Hospital, Boston Medical Center, members of the National Spinal Cord Injury Association, and subscribers to New Mobility Magazine. Participants were eligible if they were 22-years-old or older, one or more years following SCI, had no other reason for neuromuscular dysfunction, did not require ventilator support, and did not have a tracheostomy. Efforts were made to schedule subsequent visits one-and-a-half to two years apart. We excluded those without a detectable SCI level (n=5), with history of stroke (n=2), lung resections (n=5), diagnosis of sarcoidosis (n=l), incomplete data collection (n=6), those unable to provide a blood sample during the initial study visit (n=5), and those with only one study visit (n=84). Following exclusions, 253 participants were included in the study. All 253 participants had one follow-up visit, 184 had two follow-up visits, and 108 had three follow-up visits for a total of 545 repeated assessments. There were 77 participants who had been included in our previous assessment of chest illness risk [13]. Spirometry data were unattainable for nine participants, therefore only 244 participants with 519 repeated assessments were included in analyses assessing associations with pulmonary function. The VA Boston Healthcare Institutional Review Board approved the protocol (IRB# 2232, 2417, and 2751) and written informed consent was obtained. Participants were allowed to opt out of the study at any time and were provided with their vitamin D and pulmonary function test results to be discussed with their health care providers.
Respiratory history and pulmonary function assessment
A respiratory health questionnaire (ATS DLD-78) [14] with supplemental questions was completed at entry and updated at each subsequent encounter. The questionnaire was used to obtain a history of cigarette smoking, respiratory disease, and comorbid conditions that included diabetes, heart disease treated in the past 10 years, hypertension, COPD (emphysema or chronic bronchitis), asthma, and physician-diagnosed pneumonia or bronchitis following SCI (after discharge following injury). As in the previous study [13], this questionnaire was also used to standardize the definition of a chest illness. At the baseline visit, we asked about a “chest illness that kept you off work, indoors at home, or in bed” for the prior one and three years. At each follow-up visit, the same question was used to assess chest illnesses since the previous visit. Participants were also asked whether each illness lasted a week or more, required contact with a physician, or whether antibiotic or bronchodilator medications were used. Pulmonary function was assessed by spirometry at baseline and at each follow-up visit [15], and the highest FEV1 and FVC values from acceptable efforts were used. Pulmonary medication use was defined as short acting bronchodilator use within 6 h, long acting bronchodilator use within 24 h, or any inhaled or oral steroid use at time of pulmonary function testing. Using the questionnaire to assess respiratory symptoms, any wheeze was defined as wheeze or whistling in the chest with a cold, occasionally apart from colds, or on most days or nights. Persistent wheeze was defined as wheezing with a cold and apart from colds or wheeze on most days or nights. Chronic cough was defined as cough on most days for three consecutive months, and chronic phlegm was defined similarly.
Dual x-ray absorptiometry (DXA) for % body fat
At each visit we used a 5th generation GE Healthcare iDXA scanner to assess total and regional body composition using GE Lunar software analyzed by a certified clinical densitometrist (AAL) [16]. We assessed total percent body fat and percent trunk fat as previously described [17].
Neurologic exam, stature, weight, and vitamin D analysis
Motor level and completeness of injury were assessed by record review and exam, and were based on the International Standards for Neurological Classification using the American Spinal Injury Association Impairment Scale (AIS) [18]. Participants were grouped into cervical motor complete (AIS A and B) and cervical AIS C, high thoracic (T1–T6) motor complete (AIS A and B) and AIS C, others with T7 or below motor complete (AIS A and B) and AIS C, and all others (AIS D). Height, weight, and body mass index (BMI) were assessed at baseline and at each follow-up visit [15,17]. Plasma 25-hydroxyvitamin D was measured at baseline and at each follow-up visit by high performance tandem mass spectrometry as previously described [15,17].
Statistical Analyses
Our primary outcome was number of chest illnesses reported between study visits. We used repeated measures negative binomial regression models fit as log-linear regressions with an offset option to adjust for follow-up duration to assess chest illness risk, and with an autoregressive covariance structure (PROC GENMOD, SAS 9.4; SAS Institute, Cary, NC). All potential risk factors (including vitamin D) at the beginning of each follow-up interval were used to assess subsequent risk at the next visit. We adjusted for history of smoking and COPD based on previous findings [13], as well as for age, sex, and chest illness history before study entry including pneumonia/bronchitis after injury. We assessed vitamin D as a continuous covariate, in categories, and in quartiles, and we assessed SCI level, completeness of injury, and other covariates potentially associated with chest illness in the adjusted models. In additional multivariable models, we included measures of pulmonary function in place of COPD history. The intraclass correlation coefficient (ICC) was calculated to assess the consistency of vitamin D levels across each follow-up interval [19,20].
Results
Mean age (standard deviation (SD)) and median injury duration (25th, 75th percentile) at study entry was 53.1 (13.7) years and 13.8 (6.0, 25.2) years, respectively (Table 1). A total of 208 participants (82%) were men and 218 (86%) were white. Most were AIS D (n=97, 38%), 59 (23%) had cervical motor complete (AIS A/B) or cervical AIS C SCI, 35 (14%) had high thoracic (Tl-T6) motor complete or high thoracic AIS C SCI, and 62 (25%) had T7 or below motor complete and AIS C SCI. At study entry, 72 (29%) participants were obese based on BMI categories (BMI > 30), 85 (34%) were overweight (BMI 25–30), and 96 (38%) were normal or underweight (BMI < 25). Few participants were current smokers (14%) at study entry. At the initial visit, vitamin D deficiency [21] (<20 ng/ml) was observed in 64 (25%) participants while 131 (52%) were insufficient (20 to <30 ng/ml), and 58 (23%) had sufficient levels (≥ 30 ng/ml). Additional data on characteristics at study entry are provided in Supplementary Table 1.
Table 1.
Total persons | Persons with chest illnesses | Number of illnesses | Persons without chest illnesses | |
---|---|---|---|---|
n=253 | n=60h | n=193 | ||
Age, years, mean (SD) | 53.1 (13.7) | 54.5 (13.0) | 52.7 (13.8) | |
Injury duration, median (25th, 75th percentile) | 13.8 (6.0, 25.2) | 14.1 (6.8, 25.3) | 13.7 (6.0, 25.1) | |
Sexa | ||||
Male | 208 (82) | 43 (72) | 73 | 165 (86) |
Female | 45 (18) | 17 (28) | 33 | 28 (15) |
Racea | ||||
White | 218 (86) | 52 (87) | 93 | 166 (86) |
Black | 24 (10) | 7 (12) | 12 | 17 (9) |
Otherb | 11 (4) | 1 (2) | 1 | 10 (5) |
Vitamin D, in categories (ng/ml)a | ||||
<20 (deficient) | 64 (25) | 15 (25) | 23 | 49 (25) |
20 – <30 (insufficient) | 131 (52) | 29 (48) | 59 | 102 (53) |
≥30 (sufficient) | 58 (23) | 16 (27) | 24 | 42 (22) |
Vitamin D, in quartiles (ng/ml)a | ||||
<19.9 | 63 (25) | 15 (25) | 23 | 48 (25) |
≥19.9 – ≤24.0 | 64 (25) | 16 (27) | 28 | 48 (25) |
>24.0 – ≤29.5 | 63 (25) | 12 (20) | 30 | 51 (26) |
>29.5 | 63 (25) | 17 (28) | 25 | 46 (24) |
Vitamin D, ng/ml mean (SD) | 25.4 (11.3) | 26.1 (13.2) | 25.2 (11) | |
Seasona | ||||
Summer | 57 (23) | 14 (23) | 20 | 43 (22) |
Fall | 59 (23) | 12 (20) | 21 | 47 (24) |
Winter | 67 (27) | 19 (32) | 40 | 48 (25) |
Spring | 70 (28) | 15 (25) | 25 | 55 (29) |
Heart diseasea | 27 (18) | 10 (17) | 14 | 17 (9) |
COPDa | 21 (8) | 8 (13) | 15 | 13 (7) |
Asthmaa | 33 (13) | 13 (22) | 18 | 20 (10) |
Asthma or COPD (obstructive lung disease)a | 47 (19) | 18 (30) | 30 | 29 (15) |
Chronic cougha | 26 (10) | 8 (13) | 12 | 18 (9) |
Chronic phlegma | 37 (15) | 9 (15) | 22 | 28 (15) |
Any wheezea | 113 (45) | 33 (55) | 58 | 80 (42) |
Persistent wheezea | 46 (18) | 14 (23) | 26 | 32 (17) |
Chest illness in the past yeara | 29 (12) | 13 (22) | 33 | 16 (8) |
Chest illness in the past 3 yearsa | 61 (24) | 26 (43) | 52 | 35 (18) |
Pneumonia/bronchitis after SCIa | 120 (47) | 42 (70) | 81 | 78 (40) |
Pneumonia/bronchitis after SCIa | ||||
Yes and with chest illness in last 3 years | 40 (16) | 21 (35) | 44 | 19 (10) |
Yes and without chest illness in last 3 years | 80 (32) | 21 (35) | 37 | 59 (31) |
No and with chest illness in last 3 years | 21 (8) | 5 (8) | 8 | 16 (8) |
BMI, in categories (kg/m2)a | ||||
>30 (obese) | 72 (29) | 19 (32) | 35 | 53 (28) |
25–30 (overweight) | 85 (34) | 21 (35) | 38 | 64 (33) |
< 25 (normal or underweightc) | 96 (38) | 20 (33) | 33 | 76 (39) |
BMI, kg/m2, mean (SD) | 27.1 (6) | 27.6 (6) | 26.9 (6) | |
%-Trunk fat, mean (SD) | 39.5 (11) | 40.9 (10) | 39.1 (11) | |
%-Total body fat, mean (SD) | 36.4 (9) | 37.9 (9) | 35.9 (9) | |
Cigarette Usea | ||||
Current | 36 (14) | 6 (10) | 9 | 30 (16) |
Former | 103 (41) | 25 (42) | 56 | 78 (40) |
Never | 114 (46) | 29 (48) | 41 | 85 (44) |
SCI classificationa | ||||
Motor complete cervical & AIS Cd | 59 (23) | 16 (27) | 27 | 43 (22) |
Motor complete high thoracic(T1–T6) & AIS Ce | 35 (14) | 7 (12) | 8 | 28 (15) |
Other motor complete & AIS Cf | 62 (25) | 10 (17) | 12 | 52 (27) |
All AIS D | 97 (38) | 27 (45) | 59 | 70 (36) |
n=244 | n=58 | n=186 | ||
FEV1/FVCa,g | ||||
≤0.70 | 53 (22) | 17 (29) | 29 | 36 (19) |
>0.70 | 191 (78) | 41 (71) | 75 | 150 (81) |
FEV1/FVC (SD)g | 0.77 (0.11) | 0.74 (0.11) | 0.78 (0.10) | |
%-Predicted FEV1 mean (SD)g | 78.17 (20.41) | 72.42 (22.98) | 79.96 (19.26) | |
%-Predicted FVC, mean (SD)g | 78.93 (19.24) | 76.09 (21.23) | 79.82 (18.54) | |
Pulmonary Medicine Usea,g | 16 (7) | 10 (17) | 18 | 6 (3) |
n (%)
2 American Indian, 2 Asian, 7 Hispanic/Latino
underweight: <18.5 kg/m2, n= 13
15 AIS C with a total of 2 chest illnesses
3 AIS C with a total of 1 chest illness
10 AIS C with a total of 1 chest illness
n=244
40 had 1 illness, 11 had 2 illnesses, 3 had 3 illnesses, 3 had 4 illnesses, 1 had 5 illnesses, 1 had 7 illnesses, 1 had 11 illnesses
The 253 participants contributed a total of 1107.4 person-years of follow-up. The median (25th, 75th percentile) duration of follow-up was 3.2 (1.7, 4.8) years (from 1.3 to 7.4 years) and persons were studied a median (25th, 75th percentile) of 1.7 (1.5, 2.1) years apart (from 1.1 to 6.0 years). Sixty participants reported 106 chest illnesses for an overall rate of 0.10 illness/person-year. Forty participants reported one illness and 20 reported two or more illnesses (Table 1). Of the 106 chest illnesses, 76% (n=81) were associated with phlegm, 83% (n=88) with cough, and 61% (n=65) with wheeze. The majority of illnesses lasted more than one week (n=86, 81%) and resulted in a visit to a healthcare provider (n=93, 88%). Nearly half of participants who reported chest illnesses had at least one hospitalization as a result of an illness (n=27, 45%). The majority of those who reported a chest illness during the study also reported a history of pneumonia/bronchitis since injury (n=42, 70%). Participants who did not return for at least one follow-up visit compared to the 253 participants included in the study were similar in mean age (55.7 years compared to 53.1), baseline vitamin D level (25.4 ng/ml compared to 27.0), chest illness in the previous three years (24% for both) and one year (12% for both) before the baseline visit, or %-predicted FEV1 (78% compared to 76%).
Assessment of the ICC indicated moderate correlation between vitamin D levels assessed at the beginning and end of each follow-up interval [20]. The ICC was 0.59 (95% CI=0.51–0.67) between visits one and two, 0.63 (95% CI=0.54–0.71) between visits two and three, and 0.69 (95% CI=0.58–0.78) between visits three and four. Mean (SD) vitamin D level increased at each study visit, from 25.4 (11.3) ng/ml at baseline, 28.7 (10.9) ng/ml at visit two, and 31.4 (12.4) ng/ml at visit three to 32.0 (10.4) ng/ml at visit four. This increase was not due to participants with higher vitamin D levels selectively returning since mean (SD) vitamin D levels at study entry were similar for participants with one follow-up visit (26.2 (10.2) ng/ml), two follow-up visits (25.3 (13.3) ng/ml), or for those with three follow-up visits (25.1 (11.6) ng/ml). However, the percentage of participants reporting the use of vitamin D supplements at each study visit increased from 36% at baseline, 52% at visit two, 59% at visit three, to 61% at visit four.
In unadjusted analyses, there was no association between vitamin D level (assessed continuously, categorically, or in quartiles) and risk of future chest illness. For example, compared to participants with sufficient vitamin D levels (≥30 ng/ml), persons with a deficient level (<20 ng/ml) had a RR (95% Cl) of 0.98 (0.47, 2.04). Season of vitamin D assessment and wheeze were not associated with risk. The strongest association with chest illness risk in unadjusted analyses was history of pneumonia/bronchitis after SCI stratified by whether or not a chest illness was reported in the three years before study entry (Supplementary Table 2).
In adjusted models that included age, sex, smoking history, COPD history, and pneumonia/bronchitis since SCI stratified by report of a chest illness in the three years before study entry (Table 2), persons with a deficient vitamin D level (<20 ng/ml) had a higher risk of future chest illness compared to persons with sufficient levels (≥30 ng/ml) but with wide confidence limits that include 1.0 (RR=1.36, 95% CI=0.74, 2.47). When participants in the lowest vitamin D quartile (<19.9 ng/ml) were compared to the highest quartile, the RR was similarly increased (RR=1.41, 95% CI=0.78, 2.53). The risk with insufficient levels (20 to <30 ng/ml) was not increased (RR=0.90, 95% CI=0.51, 1.60). With vitamin D assessed continuously, per 20 ng/ml increase, a higher concentration of vitamin D was associated with a reduction in risk (RR=0.70, 95% CI=0.44,1.12; equivalent to a 30% reduction). The strongest risk factor for future chest illness was a history of pneumonia/bronchitis since SCI and report of a chest illness in the three years before entry (RR 7.62, 95% CI=3.70, 15.71). Even in participants who did not report a chest illness in three years before entry, pneumonia/bronchitis since SCI was associated with an increased future chest illness risk (Table 3).
Table 2.
Characteristic | Relative Risk | 95% CI | P value |
---|---|---|---|
Vitamin D categories (ng/ml) | |||
Pneumonia/bronchitis after SCI | |||
Yes and with chest illness in last 3 years | 7.62 | 3.70, 15.71 | <0.001 |
Yes and without chest illness in last 3 years | 2.75 | 1.26, 5.99 | 0.01 |
No and with chest illness last 3 years | 1.93 | 0.70, 5.34 | 0.21 |
Vitamin D (ng/ml) | |||
<20 (deficient) | 1.36 | 0.74, 2.47 | 0.32 |
≥20 – <30 (insufficient) | 0.90 | 0.51, 1.60 | 0.72 |
≥ 30 (sufficient) | Ref | Ref | Ref |
Vitamin D quartiles (ng/ml) | |||
Pneumonia/bronchitis after SCI | |||
Yes and with chest illness in last 3 years | 7.46 | 3.62, 15.38 | <0.001 |
Yes and without chest illness in last 3 years | 2.76 | 1.27, 5.98 | 0.01 |
No and with chest illness last 3 years | 1.89 | 0.68, 5.25 | 0.22 |
Vitamin D (ng/ml) | |||
<19.9 | 1.41 | 0.78, 2.53 | 0.25 |
≥19.9 – ≤24.0 | 1.11 | 0.55, 2.25 | 0.77 |
>24.0 – ≤29.5 | 0.76 | 0.36, 1.61 | 0.48 |
>29.5 | Ref | Ref | Ref |
Vitamin D continuous (ng/ml) | |||
Pneumonia/bronchitis after SCI | |||
Yes and with chest illness in last 3 years | 7.57 | 3.69, 15.53 | <0.001 |
Yes and without chest illness in last 3 years | 2.73 | 1.27, 5.88 | 0.01 |
No and with chest illness last 3 years | 2.00 | 0.73, 5.51 | 0.18 |
Vitamin D per 20 ng/ml | 0.70 | 0.44, 1.12 | 0.14 |
All models age, sex, smoking history, COPD history, and past chest illness adjusted.
Table 3.
Characteristic | Relative Risk | 95% CI | P value |
---|---|---|---|
Past chest illness, FEV1/FVC, vitamin D in categories | |||
Pneumonia/Bronchitis since SCI | |||
Yes and with chest illness in last 3 years | 7.16 | 3.22, 15.92 | <0.001 |
Yes and without chest illness in last 3 years | 2.69 | 1.21, 5.98 | 0.02 |
No and with chest illness last 3 years | 1.56 | 0.49, 4.99 | 0.45 |
Vitamin D (ng/ml) | |||
<20 (deficient) | 1.18 | 0.63, 2.21 | 0.60 |
≥20 – <30 (insufficient) | 1.01 | 0.60, 1.69 | 0.97 |
≥ 30 (sufficient) | Ref | Ref | Ref |
FEV1/FVC (per SD=0.10) | 0.80 | 0.65, 0.99 | 0.04 |
Past chest illness (not shown), FEV1/FVC, vitamin D in quartiles | |||
Vitamin D (ng/ml) | |||
<19.9 | 1.21 | 0.66, 2.23 | 0.54 |
≥19.9 – ≤24.0 | 1.18 | 0.61, 2.28 | 0.62 |
>24.0 – ≤29.5 | 0.88 | 0.45, 1.74 | 0.72 |
>29.5 | Ref | Ref | Ref |
FEV1/FVC (per SD=0.10) | 0.80 | 0.65, 0.99 | 0.04 |
Past chest illness (not shown), FEV1/FVC, vitamin D continuous | |||
Vitamin D per 20 ng/ml | 0.74 | 0.47, 1.17 | 0.20 |
FEV1/FVC (per SD=0.10) | 0.81 | 0.65, 1.00 | 0.05 |
Past chest illness, %-predicted FEV1, vitamin D in categories | |||
Pneumonia/Bronchitis since SCI | |||
Yes and with chest illness in last 3 years | 7.51 | 3.10, 18.17 | <0.001 |
Yes and without chest illness in last 3 years | 2.63 | 1.16, 5.97 | 0.02 |
No and with chest illness last 3 years | 1.71 | 0.54, 5.40 | 0.36 |
Vitamin D (ng/ml) | |||
<20 (deficient) | 1.18 | 0.62, 2.24 | 0.62 |
≥20 – <30 (insufficient) | 1.00 | 0.60, 1.66 | 1.00 |
≥ 30 (sufficient) | Ref | Ref | Ref |
%-predicted FEV1 (per SD=20.4) | 0.92 | 0.67, 1.26 | 0.60 |
Past chest illness (not shown), %-predicted FEV1, vitamin D in quartiles | |||
Vitamin D (ng/ml) | |||
<19.9 | 1.21 | 0.64, 2.27 | 0.56 |
≥19.9 – ≤24.0 | 1.19 | 0.61, 2.33 | 0.61 |
>24.0 – ≤29.5 | 0.85 | 0.44, 1.65 | 0.63 |
>29.5 | Ref | Ref | Ref |
%-predicted FEV1 (per SD=20.4) | 0.93 | 0.68, 1.28 | 0.67 |
Past chest illness (not shown), %-predicted FEV1, vitamin D continuous | |||
Vitamin D per 20 ng/ml | 0.74 | 0.47, 1.17 | 0.20 |
%-predicted FEV1 (per SD=20.4) | 0.92 | 0.68, 1.25 | 0.60 |
Past chest illness, %-predicted FVC, vitamin D in categories | |||
Pneumonia/Bronchitis since SCI | |||
Yes and with chest illness in last 3 years | 8.12 | 3.48, 18.97 | <0.001 |
Yes and without chest illness in last 3 years | 2.89 | 1.28, 6.51 | 0.01 |
No and with chest illness last 3 years | 1.64 | 0.55, 4.92 | 0.38 |
Vitamin D (ng/ml) | |||
<20 (deficient) | 1.17 | 0.63, 2.18 | 0.62 |
≥20 – <30 (insufficient) | 1.02 | 0.61, 1.70 | 0.94 |
≥ 30 (sufficient) | Ref | Ref | Ref |
%-predicted FVC (per SD=19.1) | 1.02 | 0.75, 1.40 | 0.88 |
Past chest illness (not shown), %-predicted FVC, vitamin D in quartiles | |||
Vitamin D (ng/ml) | |||
<19.9 | 1.20 | 0.65, 2.20 | 0.56 |
≥19.9 – ≤24.0 | 1.22 | 0.62, 2.39 | 0.56 |
>24.0 – ≤29.5 | 0.86 | 0.44, 1.69 | 0.66 |
>29.5 | Ref | Ref | Ref |
%-predicted FVC (per SD=19.1) | 1.04 | 0.76, 1.43 | 0.81 |
Past chest illness (not shown), %-predicted FVC, vitamin D continuous | |||
Vitamin D per 20 ng/ml | 0.74 | 0.47, 1.17 | 0.20 |
%-predicted FVC (per SD=19.1) | 1.02 | 0.76, 1.39 | 0.88 |
Results were similarly suggestive in participants who completed pulmonary function testing (n=244) (Table 3). Adjusting for age, sex, smoking history, past chest illness, and lower FEV1/FVC, a deficient vitamin D level (<20 ng/ml) was associated with future chest illness (RR=1.18, 95% CI=0,63, 2.21) as was the lowest vitamin D quartile compared to the highest quartile (RR=1.21, 95% CI=0.66, 2.23). With vitamin D assessed continuously, per 20 ng/ml increase, a higher concentration of vitamin D was also associated with a reduction in risk (RR=0.74, 95% CI=0.47, 1.17, equivalent to a 26% reduction). A greater FEV1/FVC was associated with reduced chest illness risk for every standard deviation (SD) increase (RR=0.80, 95% CI=0.65, 0.99) (Table 3). In similar models, %-predicted FVC was not associated with chest illness, but there was a suggestive association between a greater %-predicted FEV1 and reduced chest illness risk for every SD increase (RR=0.92, 95% 0=0.67, 1.26) (Table 3).
In a sensitivity analysis, we assessed other covariates potentially associated with future chest illness in adjusted models in Table 2. These included injury duration, trunk and total body fat, BMI, season, heart disease history, asthma history, respiratory symptoms (chronic cough, chronic phlegm, any wheeze, persistent wheeze) and SCI injury/completeness. There was no meaningful effect on the RR associated with vitamin D by including these covariates (Supplementary Table 3). In addition, injury duration (Supplementary Table 4) and tetraplegia (cervical AIS A/B and cervical AIS C) compared to AIS D (Supplementary Table 5) remained unassociated with chest illness risk. All participants with motor complete SCI had a lower chest illness risk compared to the AIS D reference group.
Discussion
We found a suggestive association between plasma vitamin D level and future chest illness in participants with chronic SCI. We used common categories for vitamin D deficiency, insufficiency, and sufficiency as these are most likely to be used clinically [21] and also assessed vitamin D continuously and by quartile. Although the confidence intervals were wide, each analysis provided similar results. Although imprecise, participants in the lowest quartile and with deficient vitamin D levels had the highest associations with chest illness, and chest illness risk decreased with greater vitamin D concentrations. A history of previous chest illness, particularly in persons with pneumonia/bronchitis after SCI, had the strongest association with future chest illness with the greatest association in persons who also reported chest illness in the three years before study entry. A decreased FEV1/FVC, consistent with airflow obstruction, was also associated with chest illness risk, with suggestive effect of %-predicted FEV1. In contrast to our previous study, wheeze was not associated with future chest illness. We also did not find that injury duration, higher neurologic level, or more complete SCI increased chest illness risk.
Our results regarding vitamin D are consistent with several prior cohort and larger prospective studies in non-SCI populations which report a positive association between low vitamin D levels and an increased risk of acute respiratory infection. Laaksi found levels <40 nanomoles/liter (nmol/1) (equivalent to 16 ng/ml) in young male Finnish military recruits were associated with more days absent from duty due to respiratory illness [9]. Jovanovich found that vitamin D levels <37 nmol/1 (equivalent to <14.8 ng/ml) were associated with increased risk of hospitalization for community acquired pneumonia [10]. Sabetta found that vitamin D levels >38 ng/ml during winter months resulted in a two-fold decrease in risk of acute viral respiratory illnesses in a small cohort of 195 healthy adults followed during a winter season [11]. A large cross-sectional study of data collected through the National Health and Nutrition Examination Survey from 2001–2006 also showed that in healthy US adults vitamin D levels were inversely associated with the odds of an acute respiratory illness (up to levels of ~30 ng/ml) [12]. While each of these studies found an inverse association between vitamin D levels and respiratory illnesses, they were limited by short duration of follow-up, often on the order of months. Our study, which utilized a repeated measures assessment over multiple follow-up visits, support these findings.
Results from randomized trials on the impact of vitamin D supplementation on respiratory illness have had both positive and null findings [22–25]. These studies were heterogenous in regards to study population, baseline vitamin D, replacement strategies, and levels reported following the intervention. However, trials which demonstrated an association with reduced chest illness risk tended to have participants with lower mean vitamin D levels at enrollment and more participants with sufficient levels following intervention. Therefore, it is possible that the effect of vitamin D on potentially reducing respiratory illnesses risk may be in persons with the lowest vitamin D levels. Lehouck studied the effect of vitamin D supplements in persons with moderate-severe COPD via a randomized, single-center, double-blind, placebo-controlled trial and showed the subgroup with the lowest baseline vitamin D levels (<10 ng/ml) had a statistically significant reduction in exacerbations over one year [26]. In a meta-analysis of 25 randomized control trials, a subgroup analysis found vitamin D supplementation provided protection from acute respiratory illnesses in persons with low levels (<25 nmol/1, equivalent to 10 ng/ml) [27]. These findings align with our results which suggest deficient levels (<20 ng/ml) are most associated with future chest illness.
Our study has several limitations. We assessed chest illness based on self-report and as an illness that resulted in time off work, indoors, or in bed. Chest illnesses that did not interfere with daily activities or was not recalled were not included in the analysis, and we were unable to distinguish between lower and upper respiratory illnesses. Our study included some persons who participated in a previous 1994–2005 study assessing chest illness risk [13]; however, upon entry to the current study new baseline and follow-up data were obtained. Though we broadly recruited from the greater Boston area, the persons included in our study may not fully represent the target population of outpatient persons with chronic SCI. There is likely a survivor bias in our assessment as we excluded those with the most severe sequela from SCI, those who did not survive the first year after injury, and participants had to be well enough to attend a study visit and survive to participate in the most recent cohort. While there was large proportion of participants who did not return for all study visits, baseline characteristics of those participants did not differ from those who did return; however, it is possible that other factors in those who did not return may have impacted our findings had they remained enrolled. While we did not provide vitamin D supplementation as part of our study, the proportion of participants independently taking vitamin D supplements increased over the study period likely due to increased clinical awareness of vitamin D deficiency. This may have reduced our ability to detect a stronger effect of vitamin D levels on chest illness. The change in mean vitamin D levels and supplementation use over the follow-up period demonstrates the importance of assessing these factors longitudinally.
Strengths of our study include the standardized assessment of participants and the repeated assessment of plasma vitamin D level and other personal risk factors, including pulmonary function, with 545 assessments. Our study observed a chest illness rate of 0.10 illness/person year which is similar to the rate observed in our prior SCI chest illness study (0.12) [13]. A study by Smith et al using VA SCI out-patient records assessing upper respiratory infections, lower respiratory tract infections, and pneumonia and influenza reported a similar rate of ~0.10 respiratory illnesses/person-year [1], suggesting that rates of illnesses in our study are similar to those seen in persons with SCI in outpatient settings. The continued finding of the association of future chest illness with previous chest illness history and with reduced pulmonary function reinforces the validity of our findings and suggests that these characteristics may be used clinically to identify persons with chronic SCI who are most at risk for developing future chest illness. These findings are similar to results reported in persons without SCI but with COPD and asthma where the greatest risk factor for a future exacerbation was prior exacerbation [28, 29]. Like asthma and COPD, there appears to be a subset of persons with SCI with a previous chest illness who are more likely to experience future chest illness, independent of their pulmonary function.
Conclusion
A reduction in plasma vitamin D level may be associated with increased risk of chest illness in participants with chronic SCI, particularly in persons with deficient levels. Future chest illness risk was also associated with prior chest illness history and reduction in pulmonary function. Clinical awareness of these associations may contribute to the clinical management of individuals with SCI in recognizing persons at most risk for chest illnesses.
Supplementary Material
Acknowledgements
We thank Antonio A. Lazzari, MD, CCD, PhD and Samuel Davis, Boston VA Healthcare System, technician, for DXA data collection. We appreciate the participation of veterans at VA Boston and others from the greater Boston area with chronic SCI.
Funding This study was funded by VA Rehabilitation Research and Development Merit Review Grants B6618R and I01 RX000792 from the U.S. Department of Veterans Affairs Rehabilitation Research and Development Service; and NIH NIAMS Grant R01 AR059270. The contents do not represent the views of the U.S. Department of Veterans Affairs or the United States Government.
Footnotes
Data availability
The data for this study are archived at VA Boston Healthcare System and are not publicly available per Department of Veterans Affairs information privacy rules.
Ethical statement Informed written consent was obtained from all volunteers who participated in this study. The Institutional Review Board at VA Boston Healthcare System approved the protocol (IRB # 2232, 2417, and 2751). We certify that all applicable institutional and governmental regulations concerning the ethical use of human volunteers were followed during the course of this research.
Conflicts of Interest All authors report no conflicts of interest.
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