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- v.11(8); 2019 Aug
- PMC6779225
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Cureus. 2019 Aug; 11(8): e5337.
Published online 2019 Aug 7. doi:10.7759/cureus.5337
PMCID: PMC6779225
PMID: 31602347
Monitoring Editor: Alexander Muacevic and John R Adler
Larry E Miller1 and Louise H Anderson2
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Abstract
Purpose
The objective of this study was to determine the independent association of ambulatory ability with complications and medical costs in patients with spinal cord injury (SCI).
Methods
Patients with SCI between T1-T12 enrolled in the National Spinal Cord Injury Database (NSCID) provided a minimum one-year follow-up.Covariate-adjusted annual rates of important medical complications (pressure sore, urinary tract infection, hospitalization) and associated medical costs were determined over five years post-injury.
Results
A total of 1,753 patients provided data at one-year follow-up and 1,340 patients provided five-year data.At one-year post-injury, 82% of patients were non-ambulatory and 18% were ambulatory.After adjusting for important covariates, ambulatory status was associated with a lower annual probability of urinary tract infection (43% vs. 68%), pressure sore (12% vs. 35%), and hospitalization (23% vs. 34%).Covariate-adjusted base-case medical costs due to urinary tract infection, pressure sore, and hospitalization were 34% lower in ambulatory vs. non-ambulatory patients ($31,358 vs. $47,266) over five years.Probabilistic sensitivity analyses confirmed the base-case results.
Conclusion
In spinal cord-injured individuals, the ability to ambulate is independently associated with lower complication risks and associated medical costs over the five-year period following injury.Long-term clinical benefit and cost savings may be realized with assisted or unassisted ambulation in spinal cord-injured patients.
Keywords: ambulation, function, hospitalization, paraplegia, pressure sore, sci, urinary tract infection
Introduction
Recovery of ambulation is one of the main goals of patients following spinal cord injury (SCI) [1]. The inability to ambulate has profound negative consequences on the physical health and quality of life of individuals with SCI. Sedentary lifestyle predisposes spinal cord-injured individuals to medical complications such as cardiovascular disease, osteoporosis, and pressure ulcers at a higher frequency than that of the general population [2-3]. Further, approximately 30% of spinal cord-injured adults are admitted to the hospital each year, with an average of 22 hospital days annually [4]. The resulting economic impact of SCI-related complications accounts for more than $3 million over the lifespan of a patient [5].
Given that routine physical activity lowers the risk for chronic disease in the general population, comparable risk reductions in spinal cord-injured adults may be a reasonable expectation. Intermittent standing and habitual ambulation improve upper body muscular fitness, slows the decline in bone mineral density by exposure to gravitational and muscular loading forces, improves circulatory responses, and reverses a number of the health risks associated with prolonged sitting [6-9]. Further, those who transition from wheelchair use at rehabilitation discharge to walking at one year report the highest quality of life among spinal cord-injured patients [10]. Yet the typical spinal cord-injured patient engages in only 40% of the activity levels of able-bodied peers, which is insufficient to yield meaningful health benefits [11]. Many patients who may benefit from increased physical activity face barriers to participation such as lack of assistive equipment, transportation, and/or access to accommodating facilities. Furthermore, patients and caregivers may be hesitant to participate in such programs due to safety concerns related to falling or exacerbation of spasticity and contractures. If issues related to patient access and safety could be overcome, it is plausible that the risk of SCI-related complications and associated medical costs could be partially offset by routinely engaging in modest volumes of assisted or unassisted ambulation. We hypothesized that greater ambulatory ability would be associated with a lower risk of complications and associated medical costs in spinal cord-injured adults.
Materials and methods
Model structure
A Markov model was developed to estimate complications and medical costs in SCI patients over a five-year period following discharge from inpatient rehabilitation. Ambulatory and non-ambulatory groups were modeled; the groups had similar Markov processes. Patients entered the model following discharge from an acute care treatment facility. In each cycle, patients could experience one of five distinct outcomes: a) urinary tract infection (UTI), with or without hospitalization, b) pressure sore, with or without hospitalization, c) hospitalization for any reason other than UTI or pressure sore, d) no complications, or e) death (Figure (Figure11).
Figure 1
Markov model structure
SCI, spinal cord injury; UTI, urinary tract infection
Complication data sources
Data were obtained from the Spinal Cord Injury Model Systems (SCIMS), a network of federally funded facilities that collects data on demographic and clinical characteristics on approximately 13% of spinal-cord individuals in the United States [12]. Data were extracted from the National Spinal Cord Injury Database (NSCID). The NSCID contains data from individuals whoa) sustained an SCI due to a traumatic event, b) reside in geographical proximity to a SCIMS center at the time of injury, c) were admitted to a SCIMS center within one year of injury, d) were discharged from the SMISC center as either neurologically normal, completed rehabilitation, or deceased, and e) provided informed consent. For this study, eligible patients were adults who experienced traumatic SCI between 2000 and 2014, presented with a level of injury between T1 and T12, and provided minimum one-year follow-up data. Institutional review board approval was obtained at the National Spinal Cord Injury Statistical Center and an informed consent waiver for this research was granted by IntegReview Institutional Review Board (Austin, TX).
Patient characteristics assessed at the time of rehabilitation discharge included age, sex, and American Spinal Injury Association (ASIA) Impairment Scale. The characteristics measured at one- and five-year follow-up were age, marital status, body mass index (BMI), education status, working status, complications, primary insurance, and functional independence measure (FIM) mobility score. Patients self-reported medical complications over the preceding year at one and five years.Clinical complications included UTI requiring antibiotic treatment, pressure sore with open/broken skin, and overnight hospitalization for any reason. UTI and pressure sore were reported as yes/no; multiple occurrences of the same complication within the preceding year could not be evaluated. Hospitalization was reported as yes/no for any reason within the preceding year and the number of inpatient admissions. Additional information about outcomes and definitions is provided in the NSCID Data Dictionary [13].
Treatment cost data sources
Standard outpatient treatments for UTI and pressure sore complications were determined following consultation with a urologist regarding UTI treatment and a wound care specialist and occupational therapist regarding pressure sore treatment. Outpatient treatment costs were estimated from Medicare national fee schedules. To estimate cost per inpatient stay, Medicare inpatient claims with diagnosis codes for SCI (ICD-9 806.xx) were analyzed. For this study, hospitalizations occurred after discharge from inpatient rehabilitation. Therefore, the claims analysis excluded index SCI claims, which were identified by a primary diagnosis of SCI (806.xx) or an accident code (E000.x-E999.x) in any position. Data were obtained from the 2014 Medicare Inpatient Hospital Standard Analytic Files. The average cost per inpatient stay was adjusted to 2016 using the medical care services Consumer Price Index.
Data analysis
Patients were classified as ambulatory or non-ambulatory based on the self-reported ability to walk 150 feet, walk one block, and climb one flight of stairs. Patients who could perform all the activities were classified as ambulatory; those who could perform none of the activities were classified as non-ambulatory. Patients who could complete some, but not all, activities were not included in the analysis.
Demographic and complication descriptive data were reported for each ambulation group at one- and five-year follow-up. Odds ratios (OR) and 95% confidence intervals derived from logistic regression analysis were used to estimate the independent association of ambulation on complication rates after adjusting for age, sex, marital status, employment status, ASIA score, and injury level. Logistic model parameter estimates and covariate mean values were used to estimate the annual probability of each outcome. Life table methods were used to estimate annual mortality, which was converted to monthly probabilities for the Markov model. Data analyses were performed using SAS version 9.3 (SAS Institute, Inc., Cary, NC).
Cohort Markov modeling analysis was performed using TreeAge Pro 2016 (TreeAge Software, Inc., Williamstown, MA). The model had a five-year time horizon with monthly cycles. Event probabilities for years 2, 3, and 4 were calculated by linear interpolation from years 1 to 5. Medical costs were in 2016 US dollars and discounted at 3% per year; a payer perspective was taken. One-variable sensitivity analysis was evaluated using the 95% confidence interval bounds for each variable. Probability distributions were created for the variables and used in probabilistic sensitivity analyses (PSA), during which 1,000 simulations were performed.
Results
Patient characteristics
A total of 1,753 patients (82% non-ambulatory, 18% ambulatory) provided data at one-year follow-up. Non-ambulatory patients were younger (p<0.01) and less likely to be married (p= 0.01) or employed (p<0.01). Non-ambulatory patients presented with a higher level of injury (p<0.001), greater impairment on the AIS (p<0.01), and lower FIM mobility total score (p<0.001) relative to ambulatory patients. Urinary tract infection (76% vs. 34%), pressure sore (40% vs. 5%), and hospitalization for any reason (37% vs. 19%) were more frequently reported in non-ambulatory vs. ambulatory patients at one-year follow-up (all p<0.001; Table Table1).1). For hospitalized patients, the average number of inpatient stays was 1.7 for non-ambulatory and 1.4 for ambulatory patients. Similar differences in patient characteristics were observed between groups in the 1,340 patients who provided data at five-year follow-up. Higher complication rates in non-ambulatory patients were also observed at five-year follow-up (Appendix Table Table66).
Table 1
Patient characteristics at one-year post-injury
ASIA, American Spinal Injury Association; FIM, functional independence measure; SD, standard deviation
Variable | Non-ambulatory | Ambulatory | P-value |
Number of Participants | 1,440 | 313 | |
Demographics | |||
Age, Mean (SD) | 35.6 (14.4) | 39.1 (17.5) | <0.01 |
Male, % (n/N) | 80.0 (1152/1440) | 75.4 (236/313) | 0.07 |
Married, % (n/N) | 31.8 (457/1439) | 38.9 (121/311) | 0.01 |
Body mass index, Mean (SD) | 25.5 (6.5) | 26.7 (6.7) | 0.7 |
High school education, or equivalent, % (n/N) | 55.3 (793/1334) | 54.5 (170/312) | 0.8 |
Working, % (n/N) | 12.4 (178/1133) | 31.7 (99/312) | <0.01 |
ASIA Impairment Scale, % (n/N) | <0.01 | ||
A | 76.6 (1102/1440) | 6.4 (20/313) | |
B | 11.7 (169/1440) | 2.6 (8/313) | |
C | 9.9 (142/1440) | 22.1 (69/313) | |
D | 1.7 (25/1440) | 68.9 (215/313) | |
Unknown | 0.1 (2/1440) | 0.3 (1/313) | |
Level of injury, % (n/N) | <0.001 | ||
T1-T6 | 48.1 (693/1440) | 32.3 (101/313) | |
T7-T12 | 51.9 (747/1440) | 67.7 (212/313) | |
Complications, % (n/N) | |||
Urinary tract infection | 75.7 (412/544) | 34.1 (47/138) | <0.001 |
With genitourinary hospitalization | 16.8 (69/412) | 10.6 (5/47) | 0.3 |
Pressure sore | 39.6 (215/543) | 5.1 (7/138) | <0.001 |
With pressure sore/disease of skin hospitalization | 19.1 (41/215) | 0.0 (0/7) | 0.2 |
Hospitalization, all cause % (n/N) | 36.8 (526/1429) | 18.8 (58/309) | <0.001 |
Number of in-patient stays Mean, (SD) | 1.7 (1.2) | 1.4 (0.7) | 0.02 |
Number of days hospitalized Mean, (SD) | 16.7 (30.3) | 12.3 (26.4) | 0.03 |
FIM Mobility Total Score, Mean (SD) | 69.3 (14.2) | 85.6 (5.8) | <0.001 |
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Complication rates
After adjusting for covariates, greater ambulatory ability was associated with a significant reduction in complication rates. The odds of UTI for the ambulatory group was considerably lower than that of the non-ambulatory group (year 1 OR=0.454, p<0.01; year 5 OR=0.256, p<0.01) (Appendix Table Table7).7). The odds of pressure sore for the ambulatory group was approximately one-fourth that of the non-ambulatory group (year 1 OR=0.235, p<0.01; year 5 OR=0.264, p<0.01) (Appendix Table Table8).8). The odds of all-cause hospitalization for the ambulatory group were also significantly reduced during follow-up relative to the non-ambulatory group (year 1 OR=0.585, p=0.03; year 5 OR=0.567, p=0.04) (Appendix Table Table99).
Treatment costs
Payer cost of an inpatient stay for a spinal cord-injured patient was estimated at $17,985. This estimate was based on 1,383 inpatient stays for 1,214 patients (mean age: 74 years, 54% males) during 2014. The mean length of stay was 10.9 (SD: 10.9) days per admission. Treatment cost was estimated at $229 for outpatient UTI treatment and $1,803 for outpatient pressure sore treatment (Appendix Table Table1010).
Covariate-adjusted base case for decision-analytic model
Covariate-adjusted base case model inputs are shown in Table Table2.2. Simulated patients in the ambulatory group had lower probabilities of UTI, pressure sore, and all-cause hospitalization. The probability of death, number of inpatient stays for patients with hospitalization, and treatment costs did not vary by ambulatory status. Over five years, medical costs due to UTI, pressure sore, and hospitalization were 34% lower in ambulatory vs. non-ambulatory patients ($31,358 vs. $47,266). The number of persons with UTI was 37% lower, number with pressure sore was 66% lower, and the number with all-cause hospitalization was 33% lower in ambulatory vs. non-ambulatory groups. The annual probabilities of UTI (43% vs. 68%), pressure sore (12% vs. 35%), and hospitalization (23% vs. 34%) were lower in ambulatory patients (Table (Table33).
Table 2
Base case model variable values
Annual Probabilities | Projection Year | Non-ambulatory | Ambulatory |
Urinary tract infection | 1 | 73.3% | 55.6% |
5 | 62.4% | 29.8% | |
Pressure sore | 1 | 33.1% | 10.4% |
5 | 37.7% | 13.8% | |
Hospitalization, all cause | 1 | 34.7% | 23.8% |
5 | 34.1% | 22.7% | |
Death | All years | 1.5% | 1.5% |
Number of inpatient stays | All years | 1.6 | 1.6 |
Costs | |||
Urinary tract infection treatment | $229 | ||
Pressure sore treatment | $1,803 | ||
Inpatient stay | $17,985 | ||
Discount rate | 3% |
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Table 3
Covariate-adjusted base case five-year results
Hospitalized persons were assumed to have 1.6 inpatient stays per year.
Variable | Non-ambulatory | Ambulatory |
Population size | 10,000 | 10,000 |
Average healthcare cost | $47,266 | $31,358 |
Number of persons | ||
Urinary tract infection, all | 32,715 | 20,635 |
Urinary tract infection, hospitalized | 5,236 | 1,540 |
Pressure sore, all | 17,021 | 5,814 |
Pressure sore, hospitalized | 3,387 | 0 |
Hospitalized, other causes | 7,948 | 9,644 |
Death | 746 | 746 |
Annual probability, 5-year average | ||
Urinary tract infection | 68.0% | 42.9% |
Pressure sore | 35.4% | 12.1% |
Hospitalization, all-cause | 34.4% | 23.2% |
Death | 1.6% | 1.6% |
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Covariate-adjusted sensitivity analysis for decision-analytic model
One-variable sensitivity analysis was used to test the influence of variability in complication rates and cost of inpatient stays on average costs. Each variable was tested at its upper and lower 95% confidence interval bounds (Appendix Table Table11).11). The most influential variable in the model was hospitalization rate. In the non-ambulatory group, average cost per person was 26% lower at the lowest hospitalized rate and 35% higher at the highest rate compared to the base case result. Other complication rates and cost of inpatient stays impacted the average overall cost by no more 5% in either direction compared to base-case results (Appendix Figure Figure5).5). Due to the smaller sample size, the 95% confidence intervals were wider in the ambulatory group. In these patients, hospitalization rate also had the greatest influence, impacting the average cost per person from -54% to +124% compared to base-case results. Other complication rates and cost of inpatient stays impacted the ambulatory average cost by - 6% to +12% (Appendix Figure Figure6).6). Probabilistic sensitivity analysis allowed complication rates for UTI, pressure sore, and hospitalized and cost of inpatient stay to vary within their defined distributions. In PSA, the average cost per person remained lower in ambulatory vs. non-ambulatory patients ($31,915 vs. $47,113; Figure Figure2,2, Table Table4).4). The distribution of PSA results showed that 75% of ambulatory group iterations had an average cost per person of $40,000 or less compared to 16% of the non-ambulatory group iterations (Figure (Figure3).3). When comparing groups, complication costs were lower in ambulatory patients in 85% of simulations (Figure (Figure4,4, Table Table55).
Figure 2
Boxplots demonstrating cost per person by ambulatory group in probabilistic sensitivity analysis
PSA, probabilistic sensitivity analysis
Table 4
Distribution of cost per person in probabilistic sensitivity analysis
Value | Non-ambulatory | Ambulatory |
Minimum | $27,087 | $6,091 |
25th Percentile | $42,123 | $21,378 |
Median | $46,941 | $30,149 |
Mean | $47,113 | $31,915 |
75th Percentile | $51,937 | $40,065 |
Maximum | $72,292 | $111,277 |
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Figure 3
Distribution of cost per person by ambulatory group in probabilistic sensitivity analysis
PSA, probabilistic sensitivity analysis
Figure 4
Distribution of cost difference per person comparing ambulatory to non-ambulatory groups in probabilistic sensitivity analysis
PSA, probabilistic sensitivity analysis
Table 5
Distribution of cost difference per person comparing ambulatory to non-ambulatory groups in probabilistic sensitivity analysis
Cost Difference | Frequency | Percentage | Cumulative |
Less than -$60,000 | 0 | 0% | 0% |
-$60,000 to -$50,000 | 3 | 0% | 0% |
-$50,000 to -$40,000 | 35 | 4% | 4% |
-$40,000 to -$30,000 | 114 | 11% | 15% |
-$30,000 to -$20,000 | 267 | 27% | 42% |
-$20,000 to -$10,000 | 253 | 25% | 67% |
-$10,000 to $0,000 | 176 | 18% | 85% |
$0,000 to $10,000 | 88 | 9% | 94% |
$10,000 to $20,000 | 36 | 4% | 97% |
$20,000 to $30,000 | 17 | 2% | 99% |
$30,000 to $40,000 | 6 | 1% | 100% |
$40,000 to $50,000 | 3 | 0% | 100% |
More than $60,000 | 2 | 0% | 100% |
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Discussion
SCI is responsible for a significant lifelong loss of functional ability, frequent secondary complications, and tremendous costs to the healthcare system. We used covariate-adjusted complication probabilities within a decision-analytic model framework to estimate complications and associated medical costs in spinal cord-injured adults over a five-year period following discharge from inpatient rehabilitation. The major outcomes of this study were lower adjusted annual probabilities of UTI (43% vs. 68%), pressure sore (12% vs. 35%), and hospitalization (23% vs. 34%), with a 34% reduction in associated medical costs over five years in ambulatory SCI patients.
The results of this study are in agreement with conclusions drawn from other studies on the association of physical activity on complications and costs in spinal cord-injured patients. Cohen et al. reported that a higher FIM score at rehabilitation discharge was associated with fewer hospitalizations, fewer days hospitalized, and reduced need for assistive care over long-term follow-up [14]. DeJong et al. reported that more intensive physical therapy regimens during inpatient rehabilitation and regular exercise after discharge rehabilitation lowered the odds of rehospitalization in the first year following injury [15]. While these studies further illustrate the potential benefits of increased physical activity in spinal cord-injured patients, they fail to take into consideration the potential influence of variables such as level of injury, AIS score, and patient age. The current study extends this previous research by highlighting the independent association of ambulatory ability on complication risk and associated medical costs when controlling for these important confounders.
Within the framework of the current decision-analytic model, two important considerations are worth mention. The first consideration relates to the reimbursem*nt assumptions inherent within the model. Hospital reimbursem*nts for the same procedures differ widely among payers, with public payers (Medicare and Medicaid) setting a rate that is approximately 62% that of private payers [16]. In the first five years following SCI, Medicare/Medicaid are the primary payers in 40% to 55% of patients while private payers, Veteran’s Administration, and workman’s compensation comprise the remainder. Since Medicare reimbursem*nts may be lower than that of other payers, our cost estimates may be similarly underestimated. A second consideration relates to additional costs attributable to SCI that were not included in this study. Rehospitalizations account for only 30% to 42% of the total annual costs attributable to care of spinal cord-injured patients while factors not measured in this study such as attendant care, equipment, supplies, medications, and environmental modifications account for the remainder of costs [5]. Therefore, our estimates of lower medical costs in ambulatory SCI patients may comprise only a fraction of the total cost savings attributable to ambulation. If one were to adjust costs based on typical reimbursem*nt ratios among different payers and reasonably assume that unmeasured costs in the current study (e.g. due to attendant care, medications, equipment, environmental modifications) may be reduced to a similar degree as the medical costs reported in this study, then the total annual cost savings attributable to ambulation in spinal cord-injured adults may be several-fold greater than that reported here.
There were several strengths and limitations of this research that warrant discussion. Strengths of this research include a large sample size of spinal cord-injured adults, excellent generalizability due to geographic and patient diversity, and standardized data collection methods across NSCID centers. A number of limitations with this research were also identified. First, although outcomes were adjusted for influential covariates such as AIS and level of injury in order to account for group imbalances, unmeasured variables not accounted for in the statistical analysis may bias the results of this study. Second, the only complications and associated costs considered in this study were those reported in the NSCID, namely UTI, pressure sore, and hospitalization following discharge from inpatient rehabilitation. To the extent that spinal cord-injured patients may incur additional significant costs, this study does not provide a complete assessment of the potential overall cost savings due to greater ambulation in SCI patients. Third, complication reporting was dependent on patient recall over the previous year and is therefore prone to possible error or recall bias. Finally, the number of complications requiring outpatient care experienced during any interval was not assessed. However, the impact of this was likely minimal since UTI and pressure sore treatment accounted for a small portion of overall SCI-related treatment costs.
Conclusions
In spinal cord-injured individuals with thoracic lesions, the ability to ambulate is independently associated with lower complication risks and associated medical costs over the five-year period following injury. Long-term clinical benefit and cost savings may be realized with assisted or unassisted ambulation in spinal cord-injured patients. The main limitations of this analysis include thepotential for recall bias and the possibility that unmeasured variables not accounted for in the statistical analysis biased study results.
Acknowledgments
The authors thank Yuying Chen, MD, PhD and the National Spinal Cord Injury Statistical Center Executive Committee for valuable suggestions regarding study design and analysis. We also thank Yu Yin He, MA for data analysis assistance. We thank Dr. James Ulchaker (urologist at Cleveland Clinic), Nancy Chatham (wound care specialist at St. John’s Regional Wound Center), and Jean Wasiloski (occupational therapist at Allina Health) for providing typical complication treatment and medication regimens.
Appendices
Table 6
Patient characteristics at five years post-injury
ASIA, American Spinal Injury Association; FIM, functional independence measure; GED, general education diploma; SD, standard deviation; UTI, urinary tract infection
Variable | Non-ambulatory | Ambulatory | P-value |
Number of Participants | 1,125 | 215 | |
Demographics | |||
Age, Mean (SD) | 38.1 (13.6) | 41.1 (5.8) | 0.01 |
Male, % (n/N) | 77.9 (876/1125) | 74.9 (161/215) | 0.3 |
Married, % (n/N) | 31.5 (354/1125) | 43.7 (94/215) | <0.001 |
BMI, Mean (SD) | 27.9 (7.2) | 26.8 (5.4) | 0.06 |
High School or GED, % (n/N) | 55.5 (621/1119) | 51.6 (111/215) | 0.3 |
Working, % (n/N) | 20.6 (231/1120) | 39.9 (85/213) | <0.001 |
ASIA Impairment Scale, % (n/N) | <0.001 | ||
A | 79.9 (899/1125) | 10.7 (23/215) | |
B | 11.7 (132/1125) | 5.1 (11/215) | |
C | 6.8 (76/1125) | 24.6 (53/215) | |
D | 1.3 (15/1125) | 58.6 (126/215) | |
Unknown | 0.3 (3/1125) | 0.9 (2/215) | |
Level of injury, % (n/N) | <0.001 | ||
T1-T6 | 47.0 (529/1125) | 28.4 (61/215) | |
T7-T12 | 53.0 (596/1125) | 71.6 (154/215) | |
Complications, % (n/N) | |||
UTI | 63.5 (294/463) | 22.0 (20/91) | <0.001 |
UTI and Genitourinary hospitalization | 15.0 (44/294) | 0.0 (0/20) | 0.06 |
Pressure sore | 40.1 (187/466) | 9.9 (9/91) | <0.001 |
Pressure sore and Disease of skin hospitalization | 20.9 (39/187) | 0.0 (0/9) | 0.1 |
Hospitalization, % (n/N) | 36.0 (403/1120) | 18.8 (49/213) | <0.001 |
Number of in-patient stays Mean, (SD) | 1.5 (1.0) | 1.4 (0.7) | 0.3 |
Number of days hospitalized Mean, (SD) | 19.8 (34.9) | 8.4 (13.5) | <0.001 |
FIM Mobility Total Score, Mean (SD) | 71.4 (13.9) | 86.5 (4.9) | <0.001 |
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Table 7
Logistic regression results of covariate association on urinary tract infection risk
ASIA, American Spinal Injury Association; UTI, urinary tract infection
Dependent Variable (0/1) | UTI Year 1 | UTI Year 5 | ||||
N=0 | 217 | 240 | ||||
N=1 | 458 | 312 | ||||
Total N | 675 | 552 | ||||
Independent Variables | Beta | Odds Ratio | p-value | Beta | Odds Ratio | p-value |
Intercept | -0.645 | 0.525 | 0.164 | -0.024 | 0.977 | 0.964 |
Ambulatory | -0.790 | 0.454 | 0.009 | -1.364 | 0.256 | 0.000 |
Age | 0.008 | 1.008 | 0.271 | 0.000 | 1.000 | 0.956 |
Female | 0.567 | 1.763 | 0.023 | 0.522 | 1.686 | 0.025 |
Married | -0.027 | 0.974 | 0.907 | -0.149 | 0.861 | 0.510 |
Work | -0.365 | 0.694 | 0.135 | -0.009 | 0.991 | 0.968 |
ASIA A vs D | 1.496 | 4.462 | 0.686 | 1.986 | 0.099 | |
ASIA B vs D | 1.067 | 2.907 | 0.013 | 0.471 | 1.601 | 0.311 |
ASIA C vs D | 0.813 | 2.254 | 0.021 | 0.008 | 1.008 | 0.986 |
Injury level T1-T6 | 0.367 | 1.443 | 0.049 | -0.154 | 0.858 | 0.414 |
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Table 8
Logistic regression results of covariate association on pressure sore risk
ASIA, American Spinal Injury Association
Dependent Variable (0/1) | Pressure Sore Year 1 | Pressure Sore Year 5 | ||||
N=0 | 454 | 359 | ||||
N=1 | 222 | 194 | ||||
Total N | 676 | 553 | ||||
Independent Variables | Beta | Odds Ratio | p-value | Beta | Odds Ratio | p-value |
Intercept | -2.163 | 0.115 | 0.001 | -0.024 | 0.255 | 0.964 |
Ambulatory | -1.448 | 0.235 | 0.004 | -1.364 | 0.264 | 0.000 |
Age | 0.022 | 1.022 | 0.002 | 0.000 | 1.017 | 0.956 |
Female | -0.129 | 0.879 | 0.582 | 0.522 | 0.712 | 0.025 |
Married | -0.669 | 0.512 | 0.004 | -0.149 | 0.670 | 0.510 |
Work | -0.652 | 0.521 | 0.022 | -0.009 | 0.526 | 0.968 |
ASIA A vs D | 1.371 | 3.939 | 0.010 | 0.686 | 2.294 | 0.099 |
ASIA B vs D | 1.163 | 3.199 | 0.044 | 0.471 | 1.219 | 0.311 |
ASIA C vs D | -0.291 | 0.748 | 0.629 | 0.008 | 1.514 | 0.986 |
Injury level T1-T6 | 0.104 | 1.109 | 0.568 | -0.154 | 0.915 | 0.414 |
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Table 9
Logistic regression results of covariate association on hospitalization risk
ASIA, American Spinal Injury Association.
Dependent Variable (0/1) | Hospitalization Year 1 | Hospitalization Year 5 | ||||
N = 0 | 1146 | 881 | ||||
N = 1 | 582 | 440 | ||||
Total N | 1728 | 1321 | ||||
Independent Variables | Beta | Odds Ratio | p-value | Beta | Odds Ratio | p-value |
Intercept | -1.820 | 0.162 | 0.000 | -1.663 | 0.190 | 0.000 |
Ambulatory | -0.536 | 0.585 | 0.030 | -0.567 | 0.567 | 0.043 |
Age | 0.022 | 1.022 | 0.000 | 0.022 | 1.023 | 0.000 |
Female | 0.210 | 1.234 | 0.101 | 0.081 | 1.084 | 0.576 |
Married | -0.245 | 0.783 | 0.057 | -0.218 | 0.804 | 0.128 |
Work | -0.456 | 0.634 | 0.004 | -0.620 | 0.538 | 0.000 |
ASIA A vs D | 0.659 | 1.932 | 0.020 | 0.467 | 1.595 | 0.163 |
ASIA B vs D | 0.244 | 1.277 | 0.440 | 0.115 | 1.122 | 0.756 |
ASIA C vs D | 0.397 | 1.487 | 0.147 | 0.266 | 1.305 | 0.426 |
Injury level T1-T6 | 0.001 | 1.001 | 0.995 | -0.038 | 0.963 | 0.754 |
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Table 10
Derivation of complication treatment costs
CPT, current procedural terminology; ICD, International Classification of Diseases; OT, occupational therapy; SCI, spinal cord injury; SD, standard deviation; UTI, urinary tract infection
*Medication cost assumed 14 tablets; antibiotics Bactrim Supra, Cipro, and Macrobid were assumed to be prescribed equally; a $4.00 dispensing fee was added.
**Wound clinic initial evaluation and treatment was an average of costs for stage 2, 3, and 4 wounds, size between 20 cm2 and 40cm2. Stage 2 office visit CPT 99213; stage 3 office visit and debridement CPTs 999203, 97597, 97598; stage 3 office visit and debridement CPTs 99204, 11042, 11045.
Inpatient stay Reimbursem*nt | ||
SCI patients, ICD-9 diagnosis 806.xx | ||
Number | 1,214 | |
Age, Mean (SD) | 73.7 (12.0) | |
Male, % (N) | 54% (655) | |
Length of stay per admission, Mean (SD) | 10.9 (10.9) | |
Inpatient stays | ||
Number | 1,383 | |
Reimbursem*nt, Mean (SD) | $17,985 (528) | |
Urinary tract infection treatment reimbursem*nt | ||
Type of service | Reimbursem*nt | CPT codes |
Physician office visit | $108.13 | 99214 |
Post-void residual test | $19.33 | 51798 |
Urinalysis | $5.84 | 81000 |
Urine culture, initial | $42.46 | 87086, 87088, 87184 |
Antibiotic medication* | $10.80 | |
Urine culture, repeat | $42.46 | 87086, 87088, 87184 |
Total UTI treatment | $229.02 | |
Pressure Sore treatment | ||
Type of service | Reimbursem*nt | CPT codes |
Physician office visit | $90.77 | 99213, 99214 |
Wound clinic, initial** | ||
Average Stage 2, 3, 4 | $202.89 | |
Adequate blood flow test | $90.58 | 93922 |
Wound culture | $17.38 | 87071 |
Total Wound clinic, initial | $310.85 | |
Wound clinic follow-up, 12 wks | $1,207.32 | 97597, 97598 |
Occupational Therapy (OT) | ||
Evaluation | $85.57 | 97003 |
Wheelchair cushion (used by 50%) | $133.60 | E2603 |
Wheelchair management (used by 33%) | $124.60 | 97542 |
Total OT | $193.90 | |
Total Pressure Sore treatment | $1,802.84 |
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Table 11
95% confidence intervals of sensitivity analysis assumptions
CI: confidence interval; UTI, urinary tract infection.
Beta distribution was used for event probabilities, normal distribution for cost of inpatient stay.
Non-ambulatory | Ambulatory | |||||||
Probabilities | Base | 95% CI | Base | 95% CI | ||||
Annual | Monthly | Lower | Upper | Annual | Monthly | Lower | Upper | |
UTI | 68.3% | 5.7% | 4.0% | 8.1% | 45.3% | 3.8% | 1.5% | 9.0% |
Pressure Sore | 35.2% | 2.9% | 1.8% | 4.8% | 11.8% | 1.0% | 0.2% | 5.0% |
Hospitalizations | 34.5% | 2.9% | 2.1% | 3.9% | 23.3% | 1.9% | 0.8% | 4.4% |
All patients, 95% confidence interval | ||||||||
Cost | Base | Lower | Upper | |||||
Inpatient stay | $17,985 | $16,950 | $19,020 |
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Figure 5
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Sensitivity analysis of costs in non-ambulatory patients
IP, in-patient; UTI, urinary tract infection.
Figure 6
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Sensitivity analysis of costs in ambulatory patients
IP, in-patient; UTI, urinary tract infection.
Funding Statement
L. Miller received personal fees from ReWalk Robotics. L. Anderson has no conflicts to disclose.
Notes
The content published in Cureus is the result of clinical experience and/or research by independent individuals or organizations. Cureus is not responsible for the scientific accuracy or reliability of data or conclusions published herein. All content published within Cureus is intended only for educational, research and reference purposes. Additionally, articles published within Cureus should not be deemed a suitable substitute for the advice of a qualified health care professional. Do not disregard or avoid professional medical advice due to content published within Cureus.
The authors have declared that no competing interests exist.
Human Ethics
Consent was obtained by all participants in this study. IntegReview Institutional Review Board issued approval 02-09-2016_001. Institutional review board approval was obtained at the National Spinal Cord Injury Statistical Center and an informed consent waiver for this research was granted by IntegReview Institutional Review Board (Austin, TX).
Animal Ethics
Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue.
References
1. Who is going to walk? A review of the factors influencing walking recovery after spinal cord injury. Scivoletto G, Tamburella F, Laurenza L, Torre M, Molinari M. Front Hum Neurosci. 2014;8:141. [PMC free article] [PubMed] [Google Scholar]
2. Frequency and age effects of secondary health conditions in individuals with spinal cord injury: a scoping review. Jensen MP, Truitt AR, Schomer KG, Yorkston KM, Baylor C, Molton IR. Spinal Cord. 2013;51:882–892. [PubMed] [Google Scholar]
3. Chronic complications of spinal cord injury. Sezer N, Akkus S, Ugurlu FG. World J Orthop. 2015;6:24–33. [PMC free article] [PubMed] [Google Scholar]
4. Spinal cord injury (SCI): facts and figures at a glance. [Nov;2016 ];https://www.nscisc.uab.edu/Public/Facts%202016.pdf 2016 [PMC free article] [PubMed]
5. Costs of care following spinal cord injury. DeVivo MJ, Chen Y, Mennemeyer ST, Deutsch A. Top Spinal Cord Inj Rehabil. 2011;16:1–9. [Google Scholar]
6. The effects of exercise training on physical capacity, strength, body composition and functional performance among adults with spinal cord injury: a systematic review. Hicks AL, Martin Ginis KA, Pelletier CA, Ditor DS, Foulon B, Wolfe DL. Spinal Cord. 2011;49:1103–1127. [PubMed] [Google Scholar]
7. Effect of chronic activity-based therapy on bone mineral density and bone turnover in persons with spinal cord injury. Astorino TA, Harness ET, Witzke KA. Eur J Appl Physiol. 2013;113:3027–3037. [PMC free article] [PubMed] [Google Scholar]
8. Improvement in hemodynamic responses to metaboreflex activation after one year of training in spinal cord injured humans. Milia R, Roberto S, Marongiu E, et al. Biomed Res Int. 2014;2014:893468. [PMC free article] [PubMed] [Google Scholar]
9. All-cause mortality effects of replacing sedentary time with physical activity and sleeping using an isotemporal substitution model: a prospective study of 201,129 mid-aged and older adults. Stamatakis E, Rogers K, Ding D, Berrigan D, Chau J, Hamer M, Bauman A. Int J Behav Nutr Phys Act. 2015;12:121. [PMC free article] [PubMed] [Google Scholar]
10. The relationship between quality of life and change in mobility 1 year postinjury in individuals with spinal cord injury. Riggins MS, Kankipati P, Oyster ML, Cooper RA, Boninger ML. Arch Phys Med Rehabil. 2011;92:1027–1033. [PubMed] [Google Scholar]
11. Accelerometry-based activity spectrum in persons with chronic physical conditions. van den Berg-Emons RJ, Bussmann JB, Stam HJ. Arch Phys Med Rehabil. 2010;91:1856–1861. [PubMed] [Google Scholar]
12. Spinal cord Injury model systems: review of program and national database. Chen Y, DeVivo MJ, Richards JS, SanAgustin TB. From. 1970 to 2015. Arch Phys Med Rehabil. 2016;97:1797–1804. [PubMed] [Google Scholar]
13. National spinal cord injury database. [Jan;2017 ];National Spinal Cord Injury Database. (2016. https://www.nscisc.uab.edu/nscisc-database.aspx 2016
14. Association between the functional independence measure following spinal cord injury and long-term outcomes. Cohen JT, Marino RJ, Sacco P, Terrin N. Spinal Cord. 2012;50:728–733. [PubMed] [Google Scholar]
15. Rehospitalization in the first year of traumatic spinal cord injury after discharge from medical rehabilitation. DeJong G, Tian W, Hsieh CH, et al. Arch Phys Med Rehabil. 2013;94:87–97. [PubMed] [Google Scholar]
16. Trendwatch chartbook 2016. [Nov;2016 ];Trendwatch Chartbook 2016. (2016. http://www.aha.org/research/reports/tw/chartbook/2016/2016chartbook.pdf 2016
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