Skip to main content

Advertisement

Log in

Modified Puerto Rico Recurrence Scale for chronic subdural hematomas: augmenting the grading scale with postoperative pneumocephalus volume

  • Original Article
  • Published:
Acta Neurochirurgica Aims and scope Submit manuscript

Abstract

Background

Chronic subdural hematomas (CSDHs) are common in the elderly, with a relatively high rate of recurrence after initial surgical intervention. Our research team previously created a predictive grading system, the Puerto Rico Recurrence Scale (PRRS), to identify patients at high risk of CSDH recurrence. In this study, we introduce a modification of the (mPRRS) that includes pneumocephalus volume, which has been independently associated with recurrence.

Methods

A single-center Puerto Rican population-based retrospective study was performed to analyze data for patients treated for CSDH at 1 institution between July 1, 2017, and December 31, 2019. Univariate and multivariate analyses were used to create a grading scale predictive of recurrence. Retrospective validation was conducted for the cohort.

Results

Of 108 patients included in the study, 42 had recurrence, and 66 had nonrecurrence. Postoperative subdural space, postoperative midline shift, and pneumocephalus volume were all higher with recurrence (P = 0.002, P = 0.009, and P < 0.001, respectively). Multivariate analysis was used to create a 6-point grading scale comprising 3 variables (pneumocephalus volume [< 10, 10–20, 21–30, and > 30 cm3], postoperative midline shift [< 0.4, 0.41–1.0, and > 1.0 cm], and laterality [unilateral and bilateral]). Recurrence rates progressively increased in low-risk to high-risk groups (2/18 [11%] vs 21/34 [62%]; P < 0.003).

Conclusion

The mPRRS incorporating pneumocephalus measurement improves CSDH recurrence prediction. The mPRRS indicated that patients with higher scores have a greater risk of recurrence and emphasized the importance of measuring postoperative variables for prediction. The mPRRS grading scale for CSDHs may be applicable not only to the Puerto Rican population but also to the general population.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Data Availability

Data is available upon appropriate request.

Abbreviations

AUC:

Area under the curve

CAVA:

Computer-assisted volumetric analysis

CI:

Confidence interval

CSDH:

Chronic subdural hematoma

CT:

Computed tomography

CTI:

Centro de Tecnologia da Informaçāo

DSM-V :

Diagnostic and Statistical Manual of Mental Disorders, 5th edition

HU:

Hounsfield unit

IQR:

Interquartile range

mPRRS:

Modified Puerto Rico Recurrence Scale

MRI:

Magnetic resonance imaging

OR:

Odds ratio

PACS:

Picture archiving and communication system

PRMC:

Puerto Rico Medical Center

PRRS:

Puerto Rico Recurrence Scale

ROC:

Receiver operating characteristic

References

  1. Amoo M, O’Cearbhaill RM, McHugh P, Henry J, O’Byrne K, Ben Husien M, Javadpour M (2021) Derivation of a clinical score for prediction of recurrence following evacuation of chronic subdural hematoma: a retrospective cohort study at a National Referral Centre. World Neurosurg 154:e743–e753

    Article  PubMed  Google Scholar 

  2. Andersen-Ranberg NC, Debrabant B, Poulsen FR, Bergholt B, Hundsholt T, Fugleholm K (2019) The Danish chronic subdural hematoma study-predicting recurrence of chronic subdural hematoma. Acta Neurochir (Wien) 161:885–894

    Article  PubMed  Google Scholar 

  3. US Census Bureau (2020) U.S. Census Bureau, 2016–2020 American Community Survey 5-year estimates. https://data.census.gov

  4. Caetano R, Gruenewald P, Vaeth PAC, Canino G (2018) DSM-5 Alcohol use disorder severity in Puerto Rico: prevalence, criteria profile, and correlates. Alcohol Clin Exp Res 42:378–386

    Article  PubMed  PubMed Central  Google Scholar 

  5. Clayton P (2013) CUTPT: Stata module for empirical estimation of cutpoint for a diagnostic test. Statistical Software Components. https://ideas.repec.org/c/boc/bocode/s457719.html

  6. Divani AA, Majidi S, Luo X, Souslian FG, Zhang J, Abosch A, Tummala RP (2011) The ABCs of accurate volumetric measurement of cerebral hematoma. Stroke 42:1569–1574

    Article  PubMed  Google Scholar 

  7. Fernandez-Abinader JA, Gonzalez-Colon K, Feliciano CE, Mosquera-Soler AM (2017) Traumatic brain injury profile of an elderly population in Puerto Rico. P R Health Sci J 36:237–239

    PubMed  Google Scholar 

  8. Gaillard F (2015) Evolution of CT density of intracranial hemorrhage (diagram). Radiopedia.org. https://radiopaedia.org/cases/36064. Accessed 28 May 2022

  9. Hulsbergen AFC, Yan SC, Stopa BM, DiRisio A, Senders JT, van Essen MJ, van der Burgt SME, Smith TR, Gormley WB, Broekman MLD (2019) International practice variation in postoperative imaging of chronic subdural hematoma patients. J Neurosurg JNS 131:1912–1919

    Article  Google Scholar 

  10. Jack A, O’Kelly C, McDougall C, Findlay JM (2015) Predicting recurrence after chronic subdural haematoma drainage. Can J Neurol Sci 42:34–39

    Article  PubMed  Google Scholar 

  11. Kamalian S, Lev MH, Gupta R (2016) Chapter 1 - Computed tomography imaging and angiography – principles. In: Masdeu JC, González RG (eds) Handbook of Clinical Neurology, vol 135. Elsevier, pp 3–20

    Google Scholar 

  12. Kasner SE (1999) Geometry and subdural hematoma volume. Stroke 30:188

    Article  CAS  PubMed  Google Scholar 

  13. Kothari RU, Brott T, Broderick JP, Barsan WG, Sauerbeck LR, Zuccarello M, Khoury J (1996) The ABCs of measuring intracerebral hemorrhage volumes. Stroke 27:1304–1305

    Article  CAS  PubMed  Google Scholar 

  14. Liu X (2012) Classification accuracy and cut point selection. Stat Med 31:2676–2686

    Article  PubMed  Google Scholar 

  15. Mignucci-Jiménez G, Matos-Cruz AJ, Abramov I, Hanalioglu S, Kovacs MS, Preul MC, Feliciano-Valls CE (2022) Puerto Rico Recurrence Scale: predicting chronic subdural hematoma recurrence risk after initial surgical drainage. Surg Neurol Int 13:230

    Article  PubMed  PubMed Central  Google Scholar 

  16. Mignucci-Jiménez G, Matos-Cruz AJ, Preul MC, Feliciano-Valls CE (2022) Association between postoperative pneumocephalus and chronic subdural hematoma recurrence: a single-center population-based study in Puerto Rico. Interdiscip Neurosurg 29:101578

    Article  Google Scholar 

  17. Nakaguchi H, Tanishima T, Yoshimasu N (2001) Factors in the natural history of chronic subdural hematomas that influence their postoperative recurrence. J Neurosurg 95:256–262

    Article  CAS  PubMed  Google Scholar 

  18. Ng HY, Ng WH, King NK (2014) Value of routine early post-operative computed tomography in determining short-term functional outcome after drainage of chronic subdural hematoma: an evaluation of residual volume. Surg Neurol Int 5:136

    Article  PubMed  PubMed Central  Google Scholar 

  19. Petersen OF, Espersen JO (1984) Extradural hematomas: measurement of size by volume summation on CT scanning. Neuroradiology 26:363–367

    Article  CAS  PubMed  Google Scholar 

  20. Rivera-Delgado AI, Ramos-Meléndez EO, Ramírez-Martínez LV, Ruiz-Rodríguez JR, Ruiz-Medina PE, Guerrios-Rivera L, Rodríguez-Ortiz P (2022) Elderly admission trends at the Puerto Rico Trauma Hospital: a time-series analysis. J Surg Res 277:235–243

    Article  PubMed  Google Scholar 

  21. Sack I, Streitberger KJ, Krefting D, Paul F, Braun J (2011) The influence of physiological aging and atrophy on brain viscoelastic properties in humans. PLoS ONE 6:e23451

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Safari S, Baratloo A, Elfil M, Negida A (2016) Evidence based emergency medicine; Part 5 Receiver operating curve and area under the curve. Emergency (Tehran, Iran) 4:111–113

    PubMed  Google Scholar 

  23. Shen J, Shao X, Gao Y, Li Q, Ge R, Wang Q, Zhou W, Jiang X (2019) Risk factors for contralateral hematoma progression after unilateral evacuation of bilateral chronic subdural hematomas. World Neurosurg 126:e773–e778

    Article  PubMed  Google Scholar 

  24. Shen J, Xin W, Li Q, Gao Y, Zhang J (2019) A grading system for the prediction of unilateral chronic subdural hematoma recurrence after initial single burr hole evacuation. Risk Manag Healthc Policy 12:179–188

    Article  PubMed  PubMed Central  Google Scholar 

  25. Song DH, Kim YS, Chun HJ, Yi HJ, Bak KH, Ko Y, Oh SJ (2014) The predicting factors for recurrence of chronic subdural hematoma treated with burr hole and drainage. Korean J Neurotrauma 10:41–48

    Article  PubMed  PubMed Central  Google Scholar 

  26. Stanisic M, Pripp AH (2017) A reliable grading system for prediction of chronic subdural hematoma recurrence requiring reoperation after initial burr-hole surgery. Neurosurgery 81:752–760

    Article  PubMed  PubMed Central  Google Scholar 

  27. StataCorp (2021) Stata 17 Base Reference Manual. Stata Press College Station, TX

    Google Scholar 

  28. Steyerberg EW, Harrell FE Jr, Borsboom GJ, Eijkemans MJ, Vergouwe Y, Habbema JD (2001) Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. J Clin Epidemiol 54:774–781

    Article  CAS  PubMed  Google Scholar 

  29. Sucu HK, Gokmen M, Gelal F (2005) The value of XYZ/2 technique compared with computer-assisted volumetric analysis to estimate the volume of chronic subdural hematoma. Stroke 36:998–1000

    Article  PubMed  Google Scholar 

  30. Suero Molina E, Borscheid L, Freistuhler M, Zawy Alsofy S, Stummer W, Schipmann S (2020) Risk-assessment in chronic subdural hematoma evaluated in 148 patients - a score for predicting recurrence. Clin Neurol Neurosurg 195:106020

    Article  CAS  PubMed  Google Scholar 

  31. US Census Bureau (2020) Puerto Rico: total population. US Census Bureau. https://www.census.gov/search-results.html?q=Puerto+Rico&page=1&stateGeo=none&searchtype=web&cssp=SERP&_charset_=UTF-8. Accessed 11 Nov 2022

  32. Won SY, Dubinski D, Eibach M, Gessler F, Herrmann E, Keil F, Seifert V, Konczalla J, Behmanesh B (2021) External validation and modification of the Oslo grading system for prediction of postoperative recurrence of chronic subdural hematoma. Neurosurg Rev 44:961–970

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

We thank the staff of Neuroscience Publications at Barrow Neurological Institute for assistance with manuscript preparation.

Funding

This study was funded in part by the Newsome Chair in Neurosurgery Research held by Dr. Preul and the Barrow Neurological Foundation.

Author information

Authors and Affiliations

Authors

Contributions

Giancarlo Mignucci-Jiménez, Alejandro J. Matos-Cruz, and Caleb E. Feliciano-Valls contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Giancarlo Mignucci-Jiménez, Alejandro J. Matos-Cruz, and Melissa S. Kovacs. The first draft of the manuscript was written by Giancarlo Mignucci-Jiménez, Grant Koskay, and Mark C. Preul, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Mark C. Preul.

Ethics declarations

Ethical approval

This is a retrospective study. Electronic medical records of patients were analyzed retrospectively after approval by the University of Puerto Rico Medical Sciences Campus Institutional Review Board (A0230120).

Consent to participate

No patient consent was required due to the study’s retrospective nature and lack of identifiable health information.

Conflict of interest

The authors declare no competing interests.

Additional information

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mignucci-Jiménez, G., Matos-Cruz, A.J., Koskay, G. et al. Modified Puerto Rico Recurrence Scale for chronic subdural hematomas: augmenting the grading scale with postoperative pneumocephalus volume. Acta Neurochir 165, 3229–3238 (2023). https://doi.org/10.1007/s00701-023-05737-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00701-023-05737-w

Keywords

Navigation