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Research ArticleLumbar Spine

Charlson Comorbidity Index: An Inaccurate Predictor of Minimally Invasive Lumbar Spinal Fusion Outcomes

Nathaniel W. Jenkins, James M. Parrish, Michael T. Nolte, Caroline N. Jadczak, Cara E. Geoghegan, Shruthi Mohan, Nadia M. Hrynewycz and Kern Singh
International Journal of Spine Surgery August 2021, 15 (4) 770-779; DOI: https://doi.org/10.14444/8099
Nathaniel W. Jenkins
Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, Illinois
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James M. Parrish
Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, Illinois
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Michael T. Nolte
Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, Illinois
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Caroline N. Jadczak
Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, Illinois
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Cara E. Geoghegan
Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, Illinois
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Shruthi Mohan
Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, Illinois
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Nadia M. Hrynewycz
Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, Illinois
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Kern Singh
Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, Illinois
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ABSTRACT

Background: There is a scarcity of research on the Charlson Comorbidity Index (CCI) and its influence on minimum clinically important difference (MCID) achievement after minimally invasive (MIS) transforaminal lumbar interbody fusion (TLIF). The objective of this study is to detail the association between the CCI and attaining MCID after MIS TLIF.

Methods: A prospective surgical registry was retrospectively reviewed for spine surgeries between May 2015 and February 2019. Inclusion criteria were primary or revision, 1- or 2-level MIS TLIF procedures. Patients were stratified based on CCI score: 0 points (no comorbidities), 1–2 points (mild CCI), ≥3 points (moderate CCI). Preoperative, intraoperative, and postoperative variables were assessed by subgroup using appropriate statistical analysis. Subgroups were analyzed with linear regression or χ2 tests for continuous or categorical variables, respectively. Subgroup scores, improvement, and MCID achievement were assessed at postoperative timepoints (eg, 6 weeks, 12 weeks, 6 months, and 1 year) for back and leg pain, Oswestry Disability Index (ODI), SF-12 Physical Composite Score (PCS), and Patient-Reported Outcomes Measurement Information System Physical Function (PROMIS PF).

Results: A total of 171 patients were included (n = 51 [no comorbidities], n = 73 [mild CCI], and n = 47 [moderate CCI]). Higher CCI patients were older and more likely to be smokers, diabetic, arthritic, hypertensive, or have a malignancy history (P < 0.003). Preoperatively, ODI and PROMIS PF were the only patient-reported outcomes with a significant association by CCI group (P = 0.015 and 0.014). Back pain was the only measure that had a significant association with the CCI subgroup at 1 year for score (P = 0.002) or MCID (P = 0.028).

Conclusions: By 1 year, regardless of the number of comorbidities, a similar proportion of patients undergoing MIS TLIF were able to achieve MCID for visual analog scale leg, SF-12 PCS, and PROMIS PF. Patients with higher comorbidities are not likely to experience a significant difference in symptom improvement. Regardless of CCI score, MIS TLIF can have a significant benefit for patients.

Level of Evidence: 4.

Clinical Relevance: Text.

  • minimally invasive transforaminal interbody fusion
  • spine surgery
  • minimal clinically important difference
  • Patient-Reported Outcomes Measurement Information System
  • PROMIS

INTRODUCTION

Minimally invasive (MIS) transforaminal lumbar interbody fusion (TLIF) has been shown to produce reliable radiographic and clinical outcomes, with potential for smaller wounds, less tissue disruption, and faster recovery times relative to the open procedure.1,2 As the technique continues to grow in popularity, the demographic range of patients undergoing the surgery is expanding.3 In addition, the number of elderly patients in the general population is increasing, and therefore, more patients who are indicated for surgery carry medical comorbidities. For example, an estimated 80% of the population age 65 and older have 1 or more comorbidities in addition to their index disease.4 As the number of MIS TLIFs performed increases, an understanding of outcomes for this broad patient population is paramount.

Although many researchers have focused on the association between medical comorbidities and the risk of perioperative complications, the relationship between comorbidities and patient-reported outcomes is also critical to grasp.5,6 Several studies have suggested that the presence of comorbidities may be associated with a smaller degree of improvement in patient-reported outcome measures (PROMs) after lumbar laminectomy and open lumbar fusion.7–9 However, the relationship between comorbid conditions and patient reported outcomes after the MIS TLIF technique remains unclear.10 Thus, the aim of the present study was to elucidate the association between comorbidity burden and achievement of the minimal clinically important difference (MCID) for several PROMs after MIS TLIF.

METHODS

Patient Population

After obtaining institutional review board approval (ORA# 14051301), a prospectively maintained surgical registry was retrospectively reviewed for eligible patients undergoing TLIFs between May 2015 and February 2019. Inclusion criteria were 1- or 2-level primary or revision MIS TLIFs. Our exclusion criteria removed patients if they did not complete a preoperative Patient-Reported Outcomes Measurement Information System (PROMIS) survey.

Data Collection

Baseline demographic variables were collected. These included age, gender, smoking status, body mass index (BMI), preoperative Charlson Comorbidity Index (CCI), and the presence of preoperative diagnoses including myocardial infarction, diabetes, arthritis, hypertension, neurological disease, peripheral vascular disease, as well as malignancy. Perioperative variables that were collected included number of operative fusion levels, operative time in minutes (from skin incision to closure), estimated blood loss (EBL) in millimeters, duration of postoperative inpatient stay in days and postoperative day (POD) of discharge. Complications, both intraoperative and postoperative, were recorded including urinary retention, atelectasis, nausea and vomiting, postoperative anemia, orthostatic hypotension, hyponatremia, altered mental status, or deep vein thrombosis. Preoperative and postoperative (eg, 6 weeks, 12 weeks, 6 months, and 1 year) patient-reported outcome measures (PROMs) were recorded, including visual analog scale (VAS) back, VAS leg, 12-item Short Form (SF-12) Physical Composite Score (PCS), PROMIS Physical Function (PROMIS PF), and Oswestry Disability Index (ODI). We attempted to improve patient follow-up rates in several ways. First, patients were encouraged to follow up for each instrument assessment by receiving an email reminder at the beginning of any survey response window. Patients were allowed to complete their surveys at any point during a 4-week window around the evaluation timepoint. Additionally, each patient received at least 1 phone call reminding them to complete their questionnaires if they went longer than 2 weeks without completing. Finally, surveys did not require in-person visits and could be completed by mobile device or personal computer.

Statistical Analysis

Patients were stratified based on CCI score: 0 points (no comorbidities), 1 to 2 points (mild CCI), ≥3 points (moderate CCI). A χ2 test analyzed the association of CCI subgroups in the following variables: gender, smoking status, comorbid diagnoses, number of fusion levels, discharge day, and complications. Linear regression was used to measure the association of continuous variables (eg, age, operative time, EBL, length of stay, PROM score, and MCID achievement) with CCI. We evaluated if there was a difference in follow up among the 3 CCI subgroups for patient follow-up proportions at each timepoint for all instrument scores. Achievement rate of MCID was compared between CCI groups using χ2 analysis. MCID values used were VAS back = 1.2,11 VAS leg = 1.6,11 ODI = 12.8,11 SF-12 PCS = 4.0,12 PROMIS PF = 8.0.13 Statistical significance was set at P < 0.05.

Surgical Technique

Indications for MIS TLIF included degenerative disc disease, recurrent disc herniations, spinal stenosis, and spondylolisthesis (degenerative or isthmic). All patients were intubated, induced into general anesthesia, and placed into the prone position. The surgeon made a 3-cm incision on the pathological side, just lateral to the pedicle. A needle was advanced to the facet complex and the transverse process intersection. Guidewires were placed, and sequential dilators were used to confirm instrumentation positioning. Laminectomy was performed with a high-speed burr and a suction trap to recover bone fragments for use later with the interbody cage. A wide decompression was completed by resecting the pars in line with the inferior limit of the superior endplate. A facetectomy was accomplished by removing the articular processes, and the ligamentum flavum was resected. Visualization of the transforaminal space (to the inferior pedicle) and nerve roots was accomplished before preparing the endplates. To optimize lumbar lordosis, surgeon preference guided the prefilling and backfilling of the disc space before placing the interbody. Guidewires were removed for percutaneous pedicle screw placement. Instrumentation positioning was verified with fluoroscopic guidance. Finally, the pedicle screws were connected with rods and screw sets.

RESULTS

Baseline Demographic and Perioperative Characteristics

From May 2015 and February 2019, 171 MIS TLIF patients underwent a primary or revision, 1- or 2-level MIS TLIF. A total of 51 patients had no comorbidities (CCI = 0), 73 had a mild comorbidity burden (CCI = 1–2), and 47 had a moderate (CCI ≥ 3). The cohort CCI subgroups had a statistically significant association for age (Table 1). Mean subgroup age increased with comorbidity burden (CCI = 0: 40.9 years; CCI = 1–2: 51.7 years; CCI ≥ 3: 60.4 years, P < 0.001). Statistically significant differences were observed for smoking status, diabetes, arthritis, hypertension, and malignancy. Those with no comorbidity (CCI = 0) burden did not smoke (nonsmokers: 100.0%, n = 51), followed by those with a mild comorbidity (CCI = 1–2) burden (nonsmokers: 87.7%, n = 64), and with those who held the highest comorbidity burden having the lowest fraction of nonsmokers (nonsmokers: 78.7%, n = 37). The percentage of preoperative diagnoses within each subgroup increased with comorbidity burden severity. Among the subgroups, the percentage of patients with diabetes was 0.0% (0) for the no comorbidity subgroup (CCI = 0), 5.5% (4) for the moderate comorbidity subgroup (CCI = 1–2), and 17.0% (8) for those with the most severe comorbidity burden (P = 0.003). No patients had arthritis within the no comorbidity subgroup (CCI = 0), 17.8% (13) had arthritis in the moderate comorbidity subgroup (CCI = 1–2), and 36.2% (17) had arthritis in the most severely comorbid group burden (P < 0.001). Among the subgroups, the fraction of those with hypertension increased with CCI severity (CCI = 0: 0.0% [0]; CCI = 1–2: 27.4% [20]; CCI ≥ 3: 55.3% [26], P < 0.001). Neither of the lesser comorbidity burden subgroups had any patients with malignancies, though the most severe comorbidity burden subgroup had 31.9% (15) with a past malignancy (P < 0.001). There were no statistically significant perioperative characteristic differences between CCI groups for number of fusion levels, operative time duration, EBL, length of stay, or discharge day (Table 2). There were no significant differences in the rate of complications intraoperatively and postoperatively among CCI subgroups. The most common complication was postoperative nausea and vomiting (4.6%). None of the reported complications required a return to the operating room, and all patients had resolution of their symptoms before discharge.

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Table 1

Baseline characteristics by Charlson Comorbidity Index (CCI) group. Boldface indicates statistical significance.

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Table 2

Perioperative outcomes by Charlson Comorbidity Index (CCI) group.

Outcome Comparisons by CCI

PROMs were observed to have statistically significant associations with CCI subgroups for at least 1 of the evaluated timepoints for VAS back pain levels, VAS leg pain levels, ODI pain levels, and PROMIS PF (Table 3). Only ODI (CCI = 0: 47.2; CCI = 1–2: 45.2; CCI ≥ 3: 37.38; P = 0.015) and PROMIS PF (CCI = 0: 36.0; CCI = 1–2: 33.3; CCI ≥ 3: 36.3; P = 0.014) were observed to have statistically significant associations with CCI subgroups. No PROMs were observed to have statistically significant associations for either the 6-week or the 12-week timepoint evaluations. Except for SF-12, all PROMs had statistically significant associations at the 6-month timepoint. At 6 months, VAS back pain levels were the worst among those with a moderate comorbidity burden (CCI = 0: 2.66; CCI = 1–2: 4.41; CCI ≥ 3: 3.04; P = 0.004). VAS leg pain levels were also the most severe among those with moderate comorbidity burdens (CCI = 0: 1.65; CCI = 1–2: 3.12; CCI ≥ 3: 2.42; P = 0.035). Those with a moderate comorbidity burden also had the most severe ODI scores (CCI = 0: 17.9; CCI = 1–2: 31.4; CCI ≥ 3: 15.4; P = 0.002). Finally, we observed that PROMIS PF score decreased with comorbidity burden severity (CCI = 0: 46.7; CCI = 1–2: 42.5; CCI ≥ 3: 41.9; P = 0.041). By the 1-year timepoint evaluation, VAS back pain was the only PROM that demonstrated a statistically significant association with comorbidity subgroup (CCI = 0: 2.0; CCI = 1–2: 4.3; CCI ≥ 3: 2.3; P = 0.002). In comparison with the preoperative evaluation, follow-up rates varied by timepoints, ranging from 70.5% to 90.2% at 6 weeks, 58.8% to 88.2% at 12 weeks, 58.3% to 78.4% at 6 months, and 39.2% to 65.3% at 1 year. Among the CCI subgroups, only the SF-12 PCS 1-year follow up had statistically significant differences in follow-up proportions (P = 0.016).

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Table 3

Patient-reported outcome comparisons by Charlson Comorbidity Index (CCI) status. Boldface indicates statistical significance. Italics indicate supplemental P values related to assess if follow-up rate at each timepoint is significant.

MCID Achievement by CCI

Only VAS back pain and ODI were observed to have statistically significant differences among subgroups for MCID achievement at any of the evaluated timepoints. For VAS back pain at 3 months, those with a moderate comorbidity burden had the lowest MCID achievement (CCI = 0: 90.2%; CCI = 1–2: 67.1%; CCI ≥ 3: 78.7%; P = 0.010). At 6 months, those with moderate comorbidity burdens also had the lowest MCID attainment for VAS back pain (CCI = 0: 90.2%; CCI = 1–2: 71.2%; CCI ≥ 3: 83.0%; P = 0.029) as well as the lowest MCID achievement for ODI (CCI = 0: 86.3%; CCI = 1–2: 56.2%; CCI ≥ 3: 68.1%; P = 0.002). VAS back pain level was the only PROM to demonstrate statistically significant differences in MCID achievement at 1 year (CCI = 0: 96.1%; CCI = 1–2: 83.6%; CCI ≥ 3: 93.6%; P = 0.046) and when considering any MCID achievement at any timepoint (CCI = 0: 100.0%; CCI = 1–2: 90.4%; CCI ≥ 3: 97.9%; P = 0.028). No difference in the rate of achieving MCID was observed among comorbidity subgroups for VAS leg, SF-12 PCS, and PROMIS PF (Table 4).

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Table 4

Achievement of minimal clinically important difference (MCID), percentage (No./total). Boldface indicates statistical significance.a

DISCUSSION

The extent to which comorbidity burden influences the postsurgical outcomes of spine surgery is a subject of continued inquiry for orthopaedic researchers. Numerous researchers have focused on the possible association between preoperative comorbidity burden and intraoperative complications. The literature is mixed when discussing the association various comorbidities have on postoperative outcome instruments.14–18 Although previous researchers have assessed the influence of CCI after MIS TLIF with a single PRO,10 this study adds to previous investigations by analyzing this patient population with multiple PROs and in evaluating MCID achievement. As MIS procedures continue to develop, the literature is still scarce regarding the potential association between preoperative comorbidity and postoperative outcome measures. While further investigation may be required to examine mechanisms that underlie fluctuations of each PROM, the results of this study demonstrate that MIS TLIF is associated with improvement in numerous PROMs regardless of a patient's preoperative CCI.

Nevertheless, it is important for surgeons to be aware of each patient's comorbidity burden and how the comorbidities relate to specific postoperative outcomes. In our analysis of 171 MIS TLIF patients, we analyzed patient subgroups based on previously established mortality threshold subgroups by Charlson et al,19 eg, 0 points (no comorbidities), 1–2 points (mild CCI), ≥3 points (moderate CCI). These subgroups that reflect differences in mortality have been validated for the past 3 decades.20–22 The CCI is now used extensively in orthopaedic literature.23 While some contend that using the CCI is adequate when measuring complications after spine surgery,14,15 it is important to recognize that the index was developed in the early 1980s among a nonsurgical patient population in New York.19 Although the CCI was constructed to predict 1-year mortality, it also includes comorbidity burdens that have been demonstrated to specifically affect 1-year survival, eg, acquired immunodeficiency syndrome or metastatic solid tumors. Furthermore, the CCI does not consider comorbidities that have been known to affect spine surgery outcomes such as depressive symptoms, osteoarthritis, and rheumatoid arthristis.1 Understandably, the ability for the CCI to be used among studies that investigate orthopaedic health-related quality of life outcomes has been questioned.16,17

Our study is aligned with previous studies that have observed spine surgery patients with a higher comorbidity burden to be older, to smoke, and to have been diagnosed with diabetes, arthritis, hypertension, or a malignancy.6,18,24–26 As these previous studies have highlighted, to improve clinical outcomes, it is imperative to evaluate patients with comorbidities. While other studies have more narrowly focused on specific PROMs or complications after lumbar surgery,27 there is a scarcity of research focused on the influence of increased comorbidity burden on achieving a well-known metric such as MCID among multiple PROMs.

Overall, our findings suggest that increasing comorbidity does not necessarily result in worse physical function at 1 year. Spine literature is mixed regarding the influence of comorbidity burden on postoperative physical function outcomes. For example, Slover et al6 observed statistically significant preoperative and postoperative influences of comorbidity on physical function as measured by the Short Form-36 (SF-36).28 In another study, Nerland et al29 observed no statistical significance with regard to the presence of preoperative nonspecific comorbidity with both univariate (P = 0.079) and multivariate analyses (P = 0.294). Our comparison with Nerland et al29 is limited in that their primary investigated outcome was ODI, and their study population was drawn from the Norwegian Registry for Spine Surgery, which is based on a universal health care system. At least 1 other retrospective analysis that examined CCI subgroups demonstrated no statistically significant correlation with increased CCI and postoperative outcomes such as SF-36.16 This latter study was, however, focused on cervical surgery, and it investigated Neck Disability Index (NDI) and SF-36 PCS. Regardless of the PROM investigated in either of the studies, neither investigated MCID achievement. To our knowledge, the literature is exceedingly limited in its investigation on the influence of comorbidity burden on physical function MCID achievement.

We observed that, although there were preoperative differences in disability as assessed by ODI during the preoperative period, these differences only resurfaced at 6 months and were not apparent at 1 year. Our ODI findings agree with other studies that have realized statistically significant preoperative differences among patients with different levels of comorbidity burden. Several studies have suggested that a lack of ODI score improvement is associated with systemic disease independent of any presence of comorbidity.15,29,30 While ODI is designed as a disease-specific survey, comorbidity burdens have been observed to affect it because functional loss and pain levels can have etiologies that are multifactoral.6 By 1 year, we observed no statistically significant differences among patients. While this differs from Slover et al,6 who observed statistically significant differences among patients with different levels of comorbidity, this comparison is limited in that they did not investigate with the CCI.

Finally, our results were mixed regarding the pain levels that patients experience preoperatively and postoperatively. We observed that neither VAS back nor VAS leg pain had a statistically significant difference among comorbidity subgroups at the preoperative evaluation. While back pain severity levels appeared to differ at the 1-year timepoint by comorbidity subgroup, leg pain did not have a statistically significant association with comorbidity level. One of the primary indications for lumbar fusion include radiculopathy symptoms such as leg pain.31,32 Hence, it is understandable that successful lumbar fusion might have resulted in no statistically significant difference in leg pain among our subgroups. While the etiologies that underlie leg pain can be diverse, lower back pain has specifically been demonstrated to have multifactorial causes associated with increased patient comorbidity burdens. The increased presence of lower back pain has been associated with patient comorbidities such as age,33 anxiety,34 BMI,35 depression,34 female gender,36,37 job dissatisfaction,38 low education,39 psychological stress,34 smoking,40,41 sedentary lifestyle,42 strenuous physical work,42 and worker's compensation.43,44 With these potential associations, it appears possible that, compared with those with no comorbidities, those with a comorbid burden might still experience lower back pain even after lumbar fusion. Further subanalyses are required to discover what comorbidities are most associated with persistent back pain after MIS TLIF.

Limitations

While this study adds to other studies that have noted a questionable applicability of the CCI regarding spine surgery outcomes, several limitations must be acknowledged. First, the retrospective nature of this study makes it susceptible to a selection bias. Other selection biases may have occurred due to the nature of postoperative recovery follow up. As a result of our study's exclusion of patients that were undergoing surgery for infectious, malignant, or traumatic etiologies, our results may not be generalizable to these groups. Additionally, surgeon discretion was used on an individual basis when screening patients to account for other possible comorbidities, surgical history, increased age, extremes of BMI, increased risks for nausea and vomiting, personal independence, and caretaker requirements. Although patient selection was used to optimize postsurgical outcomes, this may have also contributed to a selection bias toward more healthy patients and improved outcomes. We observed a substantial loss to follow up, most prominently for the SF-12 instrument at the 1-year postoperative timepoint. This follow-up rate ranged from 39.2% to 58.3%. Although the SF-12 physical score 1-year follow up had statistically significant differences in follow-up proportions, in this case, the CCI ≥ 3 subgroup had the best follow-up rate, and the overall SF-12 physical instrument mean score differences were nonetheless still insignificant (P = 0.087). While some studies have observed that elevated CCI is associated with an increased likelihood of becoming lost to follow up,45 others have observed no clear trend.46 There was no clear overall pattern regarding our follow-up proportions among CCI subgroups. Each subgroup had the highest proportion of patients following up within any instrument timepoint score collection exactly 6 times. There were 2 postoperative timepoints in which 2 CCI subgroups tied for the follow-up proportion, but even the tying subgroups varied. During the PROMIS PF 6-week evaluation, the CCI = 0 and the CCI = 1–2 subgroups tied but at the following PROMIS PF timepoint, it was the CCI = 1–2 and the CCI ≥ 3 subgroups that had the best follow-up rate. While losses to follow up are notorious for their contribution to selection bias—regardless of the 1 timepoint which had a significant follow-up difference among CCI groups—our overall varied follow-up rates make it difficult to determine whether CCI was a valid risk factor regarding follow up. One other limitation may be related to our use of only 1 MCID value for each instrument. To our knowledge, based on literature review, we used MCID values that most closely reflected our patient population that underwent lumbar fusion surgery for degenerative spine pathologies. Other studies, including prospective investigational device exemption studies, have used MCID values for VAS pain and ODI of 18–19 mm and 10.0, respectively.47,48 MCID values that are used do, however, vary considerably. One review found MCID ranges for ODI from 5.3 to 14.9, for VAS back pain from 2.1 to 3.8, VAS leg pain from 2.4 to 5.0, SF-12 PCS from 2.5 to 8.8, and for SF-12 MCS from 3.6 to 10.1.49 Increased or decreased symptom severity might have changed the likelihood of patients returning to clinic. Relatedly, because many of the assessed outcomes were dependent on patient response, overreporting, underreporting, or misreporting may have impacted our results. This study is also limited in that it did not conduct further subanalyses to discern whether age or other comorbidities might be most associated with persistent back pain after surgery. This study is also limited in that we did not have data from self-reported comorbidity indices such as the self-administered comorbidity questionnaire (SCQ) developed by Sangha et al.50 The SCQ has been observed to be useful due to its ability to consider other psychiatric and psychological comorbidities. Further investigation is necessary to identify wither the SCQ is more associated with MIS TLIF outcomes.

CONCLUSIONS

In this study, we assessed the preoperative state and postoperative recovery of patients as they varied by CCI classification. Regardless of the CCI subgroup, we observed a similar proportion of patients were able to attain MCID for leg pain, overall physical function, and with disability. It should be noted that there was decreased follow up through the 1-year postoperative period. This study established that patients with higher indices of comorbidity burden as measured by CCI are not necessarily less likely to experience a significant clinical improvement. Hence, this study demonstrates that MIS TLIF can have substantial clinical benefit for patients of various comorbidity states.

Footnotes

  • Disclosures and COI: No funds were received in support of this work. No benefits in any form have been or will be received from any commercial party related directly or indirectly to the subject of this manuscript. IRB Approval: ORA No. 14051301.

  • This manuscript is generously published free of charge by ISASS, the International Society for the Advancement of Spine Surgery. Copyright © 2021 ISASS

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1 Aug 2021
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Charlson Comorbidity Index: An Inaccurate Predictor of Minimally Invasive Lumbar Spinal Fusion Outcomes
Nathaniel W. Jenkins, James M. Parrish, Michael T. Nolte, Caroline N. Jadczak, Cara E. Geoghegan, Shruthi Mohan, Nadia M. Hrynewycz, Kern Singh
International Journal of Spine Surgery Aug 2021, 15 (4) 770-779; DOI: 10.14444/8099

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Charlson Comorbidity Index: An Inaccurate Predictor of Minimally Invasive Lumbar Spinal Fusion Outcomes
Nathaniel W. Jenkins, James M. Parrish, Michael T. Nolte, Caroline N. Jadczak, Cara E. Geoghegan, Shruthi Mohan, Nadia M. Hrynewycz, Kern Singh
International Journal of Spine Surgery Aug 2021, 15 (4) 770-779; DOI: 10.14444/8099
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