scholarly journals Multivariate Prognostic Modeling of Persistent Pain Following Lumbar Discectomy

2012 ◽  
Vol 5;15 (5;9) ◽  
pp. 421-434
Author(s):  
Dominic A. Hegarty
Keyword(s):  
Pain Intensity ◽  
Pain Catastrophizing ◽  
External Validation ◽  
Prediction Rule ◽  
Lumbar Discectomy ◽  
Information Criteria ◽  
Psychological Status ◽  
Surgical Patients ◽  
Patient Counselling ◽  
Present Pain Intensity

Background: Persistent postsurgical pain (PPSP) affects between 10% and 50% of surgical patients, the development of which is a complex and poorly understood process. To date, most studies on PPSP have focused on specific surgical procedures where individuals do not suffer from chronic pain before the surgical intervention. Individuals who have a chronic nerve injury are likely to have established peripheral and central sensitization which may increase the risk of developing PPSP. Concurrent analyses of the possible factors contributing to the development of PPSP following lumbar discectomy have not been examined. Objective: The aim of this study is to identify risk and protective factors that predict the course of recovery following lumbar discectomy and to develop an easily applicable preoperative multivariate prognostic model for the occurrence of PPSP in this patient cohort. Study Design: A prospective study of elective lumbar discectomy with a 3 month follow-up. Setting: University setting in Ireland Methods: All ASA I-II patients, (n = 53, 18-65 years old), undergoing elective lumbar discectomy at a single institute were included and followed for a 3 month period postsurgery. Preoperative potential predictors were collected: age, gender, pain intensity (McGill score, visual analog scale [VAS], Present Pain Intensity), degree of dysfunction (Roland-Morris Function score), psychological status (pain catastrophizing, anxiety, and depression scores), health-related quality of life (SF36), quantitative sensory testing (QST), inflammatory biomarkers, and a genetic pain profile. The proposed primary outcome was significant pain reduction (VAS > 70%) 3 months following surgery compared to the preoperative pain intensity. Results: A final prediction model was obtained using a multivariate logistic regression in combination with bootstrapping techniques for internal validation. Twenty (37.7%) patients developed PPSP. Independent predictor factors included age (odds ratio [OR] = 1.0 per year), present pain intensity (OR = 0.6), and degree of dysfunction (OR = 1.2). The concordance index C (.658) supports a good monotonic association (where perfect prediction is 1) and the Akaike’s information criteria indicated a good fit of the model. Inclusion of additional measured parameters (QST, biomarker, or genotyping) did not improve the model. Limitations: Before this internally validated model can be integrated into clinical practice, and used for patient counselling and quality assurance purposes, external validation studies are necessary. Conclusions: We demonstrated that the occurrence of PPSP can be predicted using a small set of variables easily obtained at the preoperative visit. This a prediction rule that could further optimize perioperative pain treatment and reduce attendant complications by allowing the preoperative classification of surgical patients according to their risk of developing PPSP. Key words: Persistent post surgical pain, predictive modeling, prognostic, lumbar discectomy

scholarly journals External validation for sensitivity of the Ottawa subarachnoid hemorrhage rule in a Japanese tertiary teaching hospital

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Tomoharu Suzuki ◽  
David Itokazu ◽  
Yasuharu Tokuda
Keyword(s):  
Subarachnoid Hemorrhage ◽  
Teaching Hospital ◽  
Tertiary Care ◽  
External Validation ◽  
False Negative ◽  
False Negative Rate ◽  
Prediction Rule ◽  
Japanese Patients ◽  
Inclusion Criteria ◽  
Tertiary Teaching

AbstractThe Ottawa subarachnoid hemorrhage (OSAH) rule is a validated clinical prediction rule for ruling out subarachnoid hemorrhage (SAH). Another SAH rule (Ottawa-like rule) was developed in Japan but was not well validated. We aimed to validate both rules by examining the sensitivity for ruling out SAH in Japanese patients diagnosed with SAH. We conducted a retrospective cohort study by reviewing the medical records of consecutive adult patients hospitalized with SAH at a tertiary-care teaching hospital in Japan who visited our emergency department between July 2009 and June 2019. Sensitivity and its 95% confidence interval (CI) were estimated for each rule for the diagnosis of SAH. In a total of 280 patients with SAH, 56 (20.0%) patients met the inclusion criteria and were analyzed for the OSAH rule, and a sensitivity of the OSAH rule was 56/56 (100%; 95% CI 93.6–100%). While, 126 (45%) patients met the inclusion criteria of the Ottawa-like rule, and the rule showed a sensitivity of 125/126 (99.2%; 95%CI 95.7–100%). The OSAH rule showed 100% sensitivity among our Japanese patients diagnosed with SAH. The implementation of the Ottawa-like rule should be cautious because the false-negative rate is up to 4%.

scholarly journals Menstrual Pain Intensity, Coping, and Disability: The Role of Pain Catastrophizing

Pain Medicine ◽  
2003 ◽  
Vol 4 (4) ◽  
pp. 352-361 ◽  
Author(s):  
Trudi M. Walsh ◽  
Leeanne LeBlanc ◽  
Patrick J. McGrath
Keyword(s):  
Pain Intensity ◽  
Pain Catastrophizing ◽  
Menstrual Pain

Pain Catastrophizing Is Independently Associated with Quality of Life in Patients with Severe Hip Osteoarthritis

Pain Medicine ◽  
2018 ◽  
Vol 20 (11) ◽  
pp. 2220-2227 ◽  
Author(s):  
Kazuhiro Hayashi ◽  
Takkan Morishima ◽  
Tatsunori Ikemoto ◽  
Hirofumi Miyagawa ◽  
Takuya Okamoto ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Pain Intensity ◽  
Gait Speed ◽  
Pain Catastrophizing ◽  
Hip Osteoarthritis ◽  
Cross Sectional ◽  
Japanese Orthopedic Association ◽  
Affected Side ◽  
Tertiary Center

AbstractObjective. Pain catastrophizing is an important pain-related variable, but its impact on patients with osteoarthritis is uncertain. The aim of the current study was to determine whether pain catastrophizing was independently associated with quality of life (QOL) in patients with osteoarthritis of the hip. Design. Cross-sectional study conducted between June 2017 and February 2018. Setting. Tertiary center. Subjects. Seventy consecutively enrolled patients with severe hip osteoarthritis who had experienced pain for six or more months that limited daily function, and who were scheduled for primary unilateral total hip arthroplasty. Methods. QOL was measured using the EuroQOL-5 Dimensions questionnaire, the Japanese Orthopedic Association Hip Disease Evaluation Questionnaire, and a dissatisfaction visual analog scale. Covariates included pain intensity, pain catastrophizing, range of hip motion, and gait speed. The variables were subjected to multivariate analysis with each QOL scale. Results. The median age was 68 years, and the median Pain Catastrophizing Scale score was 26. In multiple regression analysis, pain catastrophizing, pain intensity in both hips, pain intensity on the affected side, hip flexion on the affected side, and gait speed were independently correlated with QOL. Conclusions. Pain catastrophizing was independently associated with each QOL scale in preoperative patients with severe hip osteoarthritis. Pain catastrophizing had either the strongest or second strongest effect on QOL, followed by pain intensity.

scholarly journals External Validation of the PediBIRN Clinical Prediction Rule for Abusive Head Trauma

PEDIATRICS ◽  
2018 ◽  
Vol 141 (5) ◽  
pp. e20173674 ◽  
Author(s):  
Helena Pfeiffer ◽  
Anne Smith ◽  
Alison Mary Kemp ◽  
Laura Elizabeth Cowley ◽  
John A. Cheek ◽  
...  
Keyword(s):  
Head Trauma ◽  
External Validation ◽  
Prediction Rule ◽  
Clinical Prediction Rule ◽  
Abusive Head Trauma ◽  
Clinical Prediction

scholarly journals A Modified TNM Classification for Primary Operable Colorectal Cancer

2020 ◽  
Author(s):  
Chundong Zhang ◽  
Zubing Mei ◽  
Junpeng Pei ◽  
Masanobu Abe ◽  
Xiantao Zeng ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Validation Cohort ◽  
Tnm Classification ◽  
Characteristic Curve ◽  
External Validation ◽  
Model Fitting ◽  
Information Criteria ◽  
Stage I ◽  
Internal Validation ◽  
Clinical Benefits

Abstract Background The American Joint Committee on Cancer (AJCC) 8th tumor/node/metastasis (TNM) classification for colorectal cancer (CRC) has limited ability to predict prognosis. Methods We included 45,379 eligible stage I-III CRC patients from the Surveillance, Epidemiology, and End Results Program. Patients were randomly assigned individually to a training (N =31,772) or an internal validation cohort (N =13,607). External validation was performed in 10,902 additional patients. Patients were divided according to T and N stage permutations. Survival analyses were conducted by a Cox proportional hazard model and Kaplan-Meier analysis, with T1N0 as the reference. Area under receiver operating characteristic curve (AUC) and Akaike information criteria (AIC) were applied for prognostic discrimination and model-fitting, respectively. Clinical benefits were further assessed by decision curve analyses. Results We created a modified TNM (mTNM) classification: stages I (T1-2N0-1a), IIA (T1N1b, T2N1b, T3N0), IIB (T1-2N2a-2b, T3N1a-1b, T4aN0), IIC (T3N2a, T4aN1a-2a, T4bN0), IIIA (T3N2b, T4bN1a), IIIB (T4aN2b, T4bN1b), and IIIC (T4bN2a-2b). In the internal validation cohort, compared to the AJCC 8th TNM classification, the mTNM classification showed superior prognostic discrimination (AUC = 0.675 vs. 0.667, respectively; two-sided P <0.001) and better model-fitting (AIC = 70,937 vs. 71,238, respectively). Similar findings were obtained in the external validation cohort. Decision curve analyses revealed that the mTNM had superior net benefits over the AJCC 8th TNM classification in the internal and external validation cohorts. Conclusions The mTNM classification provides better prognostic discrimination than AJCC 8th TNM classification, with good applicability in various populations and settings, to help better stratify stage I-III CRC patients into prognostic groups.

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