Assessment of machine learning classifiers for predicting intraoperative blood transfusion in non-cardiac surgery.

BACKGROUND: This study aimed to develop a machine learning classifier for predicting intraoperative blood transfusion in non-cardiac surgeries. METHODS: Preoperative data from 6255 patients were extracted from the VitalDB database, an open-source registry. The primary outcome was the area under the receiver operating characteristic (AUROC) curve of ML classifiers in predicting intraoperative blood transfusion, defined as the receipt of at least one unit of packed red blood cells. Five different machine learning algorithms including logistic regression, random forest, adaptive boosting, gradient boosting, and the extremely gradient boosting classifiers were used to construct a binary classifier for intraoperative blood transfusion, and their predictive abilities were compared. RESULTS: 337 (5%) patients received intraoperative blood transfusion. In the test-set, the logistic regression classifier demonstrated the highest AUROC (0.836, 95% CI, 0.795-0.876), followed by the gradient boosting classifier (0.810, 95% CI, 0.750-0.868), AdaBoost classifier (0.776, 95% CI, 0.722-0.829), random forest classifier (0.735, 95% CI, 0.698-0.771), and XGBoost classifier (0.721, 95% CI, 0.695-0.747). The logistic regression classifier showed a higher AUROC compared to that of a multivariable logistic regression model (0.836 vs. 0.623, P < 0.001). Among various parameters used to construct the logistic regression classifier, the top three most important features were operation time (0.999), preoperative serum hemoglobin level (0.785), and open surgery (0.530). CONCLUSION: We successfully developed various ML classifiers using readily available preoperative data to predict intraoperative transfusion in patients undergoing non-cardiac surgeries. In particular, the logistic regression classifier demonstrated the best performance in predicting intraoperative transfusion.

An examination of the curvilinear relationship between person-job fit and innovative behavior: the moderating role of abusive supervision in South Korea.

Although literature suggests that a higher person-job fit leads to more innovative behavior, some recent studies have shown inconsistent results with the assumption of such a linear relationship between the two constructs. Considering these inconsistent findings, the present study aims to examine a curvilinear relationship between person-job fit and innovative behavior. Innovative behavior represents an individual's actions that come up with, realize, and apply novel ideas within the job environment, and person-job fit, which pertains to the value congruence between the job and individual, can be a critical predictor of innovative behavior. Drawing on the triphasic model of stress and the conservation of resources theory, this study hypothesizes that person-job fit has a non-linear relationship with innovative behavior, and that abusive supervision moderates this relationship. The regression analysis results of the 180 employee-supervisor dyadic data revealed that person-job fit and innovative behavior have a non-linear relationship. Furthermore, the non-linear relationship is (1) weakened (linearly positive) when abusive supervision is high and (2) strengthened when abusive supervision is low. By integrating multiple theoretical lenses, the present study offers a more sophisticated understanding of individual employees' psychological reactions to job fit discrepancies and their innovative outcomes in organizational settings. Theoretical and practical implications and directions for future research are also discussed.

Strategies for the development of in vitro models of spinal cord ischemia-reperfusion injury: Oxygen-glucose deprivation and reoxygenation.

BACKGROUND: In vitro models tailored for spinal cord ischemia-reperfusion injury are pivotal for investigation of the mechanisms underlying spinal cord injuries. We conducted a two-phased study to identify the optimal conditions for establishing an in vitro model of spinal cord ischemia-reperfusion injury using primary rat spinal motor neurons. NEW METHOD: In the first phase, cell cultures were subjected to oxygen deprivation (OD) only, glucose deprivation (GD) only, or simultaneous deprivation of oxygen and glucose [oxygen-glucose deprivation (OGD)] for different durations (1, 2, and 6 h). In the second phase, different durations of re-oxygenation (1, 12, and 24 h) were applied after 1 h of OGD to determine the optimal duration simulating reperfusion injury. RESULTS AND COMPARISON WITH EXISTING METHOD(S): GD for 6 h significantly reduced cell viability (91 % of control, P<0.001) and increase cytotoxicity (111 % of control, P<0.001). OGD for 1 h and 2 h, resulted in a significant decrease in cell viability (80 % of control P<0.001, respectively), and increase in cytotoxicity (130 % of control, P<0.001, respectively). Re-oxygenation for 1, 12, and 24 h worsened ischemic injury following 1 h of OGD (all P<0.05). CONCLUSIONS: Our results may provide a valuable guide to devise in vitro models of spinal cord ischemia-reperfusion injury using primary spinal motor neurons.

Considering Residents' Health and Well-Being in the Process of Social Housing Redevelopment: A Rapid Scoping Literature Review.

Many aging mid-twentieth-century social housing developments worldwide are set to undergo major redevelopment, aiming to improve residents' living conditions. Nevertheless, the associated processes, particularly the challenges of relocation during the demolition and reconstruction phase, can significantly disrupt communities and social networks. Understanding the multifaceted impacts of social housing redevelopment projects is crucial to inform planning, design, and consultation for these projects. This scoping literature review explores how residents' health and well-being are considered in the process of social housing redevelopment. We identified eight studies through a search performed on EMBASE, PubMed, and Scopus databases, with an additional hand search of the bibliographies of selected studies. A thematic analysis was conducted to identify the health and well-being impacts of the different phases during redevelopment projects. The findings demonstrate that social housing redevelopment projects have varied impacts on residents' health and well-being depending on the subgroup of residents and the contextual characteristics of the original social housing estate. While improved physical infrastructure provides opportunities for better health outcomes, the disruption and lack of control during the relocation process may cause significant adverse health impacts. Moreover, the different phases during the redevelopment process expose different subgroups to varying risks. Based on these findings, we recommend that social housing redevelopment initiatives prioritize engaging and empowering residents to have better control in decision-making throughout all phases of the redevelopment.

Digital assessment of cognitive-affective biases related to mental health.

With an increasing societal need for digital therapy solutions for poor mental health, we face a corresponding rise in demand for scientifically validated digital contents. In this study we aimed to lay a sound scientific foundation for the development of brain-based digital therapeutics to assess and monitor cognitive effects of social and emotional bias across diverse populations and age-ranges. First, we developed three computerized cognitive tasks using animated graphics: 1) an emotional flanker task designed to test attentional bias, 2) an emotional go-no-go task to measure bias in memory and executive function, and 3) an emotional social evaluation task to measure sensitivity to social judgments. Then, we confirmed the generalizability of our results in a wide range of samples (children (N = 50), young adults (N = 172), older adults (N = 39), online young adults (N=93), and depression patients (N = 41)) using touchscreen and online computer-based tasks, and devised a spontaneous thought generation task that was strongly associated with, and therefore could potentially serve as an alternative to, self-report scales. Using PCA, we extracted five components that represented different aspects of cognitive-affective function (emotional bias, emotional sensitivity, general accuracy, and general/social attention). Next, a gamified version of the above tasks was developed to test the feasibility of digital cognitive training over a 2-week period. A pilot training study utilizing this application showed decreases in emotional bias in the training group (that were not observed in the control group), which was correlated with a reduction in anxiety symptoms. Using a 2-channel wearable EEG system, we found that frontal alpha and gamma power were associated with both emotional bias and its reduction across the 2-week training period.

Predicting stroke volume variation using central venous pressure waveform: a deep learning approach.

Objective. This study evaluated the predictive performance of a deep learning approach to predict stroke volume variation (SVV) from central venous pressure (CVP) waveforms.Approach. Long short-term memory (LSTM) and the feed-forward neural network were sequenced to predict SVV using CVP waveforms obtained from the VitalDB database, an open-source registry. The input for the LSTM consisted of 10 s CVP waveforms sampled at 2 s intervals throughout the anesthesia duration. Inputs of the feed-forward network were the outputs of LSTM and demographic data such as age, sex, weight, and height. The final output of the feed-forward network was the SVV. The performance of SVV predicted by the deep learning model was compared to SVV estimated derived from arterial pulse waveform analysis using a commercialized model, EV1000.Main results. The model hyperparameters consisted of 12 memory cells in the LSTM layer and 32 nodes in the hidden layer of the feed-forward network. A total of 224 cases comprising 1717 978 CVP waveforms and EV1000/SVV data were used to construct and test the deep learning models. The concordance correlation coefficient between estimated SVV from the deep learning model were 0.993 (95% confidence interval, 0.992-0.993) for SVV measured by EV1000.Significance. Using a deep learning approach, CVP waveforms can accurately approximate SVV values close to those estimated using commercial arterial pulse waveform analysis.

Anti-Streptococcus mutans and anti-inflammatory effects of ginsenoside Compound K and enzyme-treated red ginseng extract (BTEX-K).

OBJECTIVES: Dental caries, or tooth decay, is an oral health issue worldwide. Oral healthcare researchers are considering how to develop safe and effective preventive measures and treatments for dental caries. This study evaluated the potential applications of Compound K and BTEX-K, a Compound K-rich red ginseng extract, for the prevention and treatment of dental caries. Moreover, this study briefly confirmed its inhibitory effect on inflammation, an important factor in dental health. METHODS: The amount of organic acids produced by bacteria in biofilm was determined using in vitro and in vivo assays. The ability of these extracts to promote tooth remineralization and microhardness was evaluated using an in vivo mouse assay. We evaluated their anti-inflammatory potential by inhibiting proinflammatory cytokine expression and lipopolysaccharide-induced nitrous oxide production in cell lines. RESULTS: Compound K (10-20 µg/mL) and BTEX-K (50-100 µg/mL) effectively inhibited the growth of Streptococcus mutans bacteria, demonstrating significant antibacterial properties. They can potentially prevent biofilm formation by reducing lactic acid production in the teeth. These compounds showed a strong ability to promote tooth remineralization and improve the microhardness of acid-producing bacteria. They also possess potent anti-inflammatory properties that downregulate proinflammatory cytokine (interleukin-6, interleukin-1ß, inducible nitric oxide synthase) expression, suppress nuclear factor-kappa B transcription factor activation (∼1.6 times), and reduce nitrous oxide production in lipopolysaccharide-induced RAW264.7 cells. CONCLUSIONS: Compounds K and BTEX-K may provide a novel approach to dental caries prevention as well as inflammation prevention and treatment.

Internal quality prediction technology for 'Sulhyang' strawberry fruit using organic analysis and hyperspectral imaging.

In recent years, hyperspectral imaging combined with machine learning techniques has garnered significant attention for its potential in assessing fruit maturity. This study proposes a method for predicting strawberry fruit maturity based on the harvest time. The main features of this study are as follows. 1) Selection of wavelength band associated with strawberry growth season; 2) Extraction of efficient parameters to predict strawberry maturity 3) Prediction of internal quality attributes of strawberries using extracted parameters. In this study, experts cultivated strawberries in a controlled environment and performed hyperspectral measurements and organic analyses on the fruit with minimal time delay to facilitate accurate modeling. Data augmentation techniques through cross-validation and interpolation were effective in improving model performance. The four parameters included in the model and the cumulative value of the model were available for quality prediction as additional parameters. Among these five parameter candidates, two parameters with linearity were finally identified. The predictive outcomes for firmness, soluble solids content, acidity, and anthocyanin levels in strawberry fruit, based on the two identified parameters, are as follows: The first parameter, ps, demonstrated RMSE performances of 1.0 N, 2.3 %, 0.1 %, and 2.0 mg per 100 g fresh fruit for firmness, soluble solids content, acidity, and anthocyanin, respectively. The second parameter, p3, showed RMSE performances of 0.6 N, 1.2 %, 0.1 %, and 1.8 mg per 100 g fresh fruit, respectively. The proposed non-destructive analysis method shows the potential to overcome the challenges associated with destructive testing methods for assessing certain internal qualities of strawberry fruit.

Effects of neuromuscular block reversal with neostigmine/glycopyrrolate versus sugammadex on bowel motility recovery after laparoscopic colorectal surgery: A randomized controlled trial.

STUDY OBJECTIVE: To compare the effects of neostigmine/glycopyrrolate (a traditional agent) and sugammadex on bowel motility recovery and the occurrence of digestive system complications after colorectal surgery. DESIGN: Prospective, randomized controlled trial. SETTING: A single tertiary center. PATIENTS: 111 patients undergoing laparoscopic colorectal surgery. INTERVENTIONS: Patients were randomized into two groups based on the block reversal agent: 1) a mixture of 50 µg.kg-1 of neostigmine and 10 µg.kg-1 of glycopyrrolate (neostigmine group) and 2) 2 mg.kg-1 of sugammadex (sugammadex group). MEASUREMENTS: The primary outcome was the time from the surgery's completion to the first flatus. The time to the first postoperative defecation, incidences of postoperative nausea or vomiting, ileus, and dry mouth, as well as postoperative length of stay, were also assessed. MAIN RESULTS: The time to the first flatus was significantly shorter in the sugammadex group than in the neostigmine group (59 [42-79] h vs 69 [53-90] h, P = 0.027). The time to the first defecation and the incidences of postoperative nausea or vomiting and ileus did not differ between the groups, nor did the postoperative length of stay. However, the incidence of postoperative dry mouth was significantly lower in the sugammadex group than in the neostigmine group (7 patients [13%] vs 39 patients [71%], P < 0.001). CONCLUSIONS: The time to the first flatus was shorter using 2 mg.kg-1 sugammadex to reverse the neuromuscular block for laparoscopic colorectal surgery compared to reversal with conventional neostigmine/glycopyrrolate.

Modified Thoracoabdominal Nerves Block Through Perichondral Approach: A Systematic Review and Meta-analysis.

PURPOSE: This systematic review and meta-analysis aimed to investigate the postoperative analgesic efficacy and safety of the modified thoracoabdominal nerve block through the perichondral approach (M-TAPA) in abdominal surgeries. DESIGN: Systematic review and meta-analysis. METHODS: We searched electronic databases to identify relevant studies comparing M-TAPA with conventional analgesic techniques. The primary outcome was the requirement for rescue analgesia at 12 and 24 hours postsurgery. Secondary outcomes included the 11-point numerical rating scale pain scores at 0, 1, 2, 4, 6, 8, 12, and 24 hours following surgery, global quality of recovery scores, and postoperative adverse events. FINDINGS: Five randomized controlled trials involving 308 patients were analyzed. M-TAPA showed no significant difference in the requirement for rescue analgesia at 12 hours (relative risk [RR]: 0.87; 95% confidence interval [CI]: 0.62, 1.22; P = .424; I2 = 40.7%; Ph = .185) and 24 hours (RR: 0.67; 95% CI: 0.22, 1.99; P = .252; I2 = 90.3%; Ph < .001) postsurgery compared to non-M-TAPA. No significant differences in numerical rating scale pain scores or global quality of recovery scores were found between the two groups (all P < .05). However, M-TAPA was associated with a lower occurrence of nausea (RR: 0.37; 95% CI: 0.22, 0.68; P < .001; I2 = 0%; Ph = .834), vomiting (RR: 0.32; 95% CI: 0.17, 0.62; P < .001; I2 = 0%; Ph = .884), and itching (RR: 0.38; 95% CI: 0.21, 0.70; P = .002; I2 = 0%; Ph = .826). CONCLUSIONS: There was no significant difference in analgesic efficacy and safety between M-TAPA and non-M-TAPA techniques.

Effect modification by statin use status on the association between fine particulate matter (PM2.5) and cardiovascular mortality.

BACKGROUND: Numerous studies have linked fine particulate matter (PM2.5) to increased cardiovascular mortality. Less is known how the PM2.5-cardiovascular mortality association varies by use of cardiovascular medications. This study sought to quantify effect modification by statin use status on the associations between long-term exposure to PM2.5 and mortality from any cardiovascular cause, coronary heart disease (CHD), and stroke. METHODS: In this nested case-control study, we followed 1.2 million community-dwelling adults aged ≥66 years who lived in Ontario, Canada from 2000 through 2018. Cases were patients who died from the three causes. Each case was individually matched to up to 30 randomly selected controls using incidence density sampling. Conditional logistic regression models were used to estimate odds ratios (ORs) for the associations between PM2.5 and mortality. We evaluated the presence of effect modification considering both multiplicative (ratio of ORs) and additive scales (the relative excess risk due to interaction, RERI). RESULTS: Exposure to PM2.5 increased the risks for cardiovascular, CHD, and stroke mortality. For all three causes of death, compared with statin users, stronger PM2.5-mortality associations were observed among non-users [e.g. for cardiovascular mortality corresponding to each interquartile range increase in PM2.5, OR = 1.042 (95% CI, 1.032-1.053) vs OR = 1.009 (95% CI, 0.996-1.022) in users, ratio of ORs = 1.033 (95% CI, 1.019-1.047), RERI = 0.039 (95% CI, 0.025-0.050)]. Among users, partially adherent users exhibited a higher risk of PM2.5-associated mortality than fully adherent users. CONCLUSIONS: The associations of chronic exposure to PM2.5 with cardiovascular and CHD mortality were stronger among statin non-users compared to users.

Germline BARD1 variants predispose to mesothelioma by impairing DNA repair and calcium signaling.

We report that ~1.8% of all mesothelioma patients and 4.9% of those younger than 55, carry rare germline variants of the BRCA1 associated RING domain 1 (BARD1) gene that were predicted to be damaging by computational analyses. We conducted functional assays, essential for accurate interpretation of missense variants, in primary fibroblasts that we established in tissue culture from a patient carrying the heterozygous BARD1V523A mutation. We found that these cells had genomic instability, reduced DNA repair, and impaired apoptosis. Investigating the underlying signaling pathways, we found that BARD1 forms a trimeric protein complex with p53 and SERCA2 that regulates calcium signaling and apoptosis. We validated these findings in BARD1-silenced primary human mesothelial cells exposed to asbestos. Our study elucidated mechanisms of BARD1 activity and revealed that heterozygous germline BARD1 mutations favor the development of mesothelioma and increase the susceptibility to asbestos carcinogenesis. These mesotheliomas are significantly less aggressive compared to mesotheliomas in asbestos workers.

Dietary patterns and intrinsic capacity in older adults: a 6-year prospective cohort study.

OBJECTIVES: Only a few studies have investigated dietary patterns and intrinsic capacity (IC). This study examined the prospective associations between dietary patterns, IC, and IC sub-domains over 6 years in community-dwelling Korean older adults. DESIGN: A prospective cohort study. SETTING AND PARTICIPANTS: Data were obtained from participants aged 70-84 years in the Korean Frailty and Aging Cohort Study (2016-2022). The study population included 665 enrollees at baseline who completed IC and dietary data. METHODS: Dietary data were obtained from baseline surveys of the nutritional sub-cohort using two nonconsecutive 24-hour dietary recalls, and dietary patterns were derived using cluster analysis. IC was constructed by measuring cognitive, locomotor, vitality, sensory, and psychological domains. A generalized estimating equation was used to analyze the longitudinal associations between dietary patterns, IC, and IC sub-domain scores. RESULTS: In total, 665 enrollees were included in the analysis. After adjusting for confounders, in older men, the dietary pattern of cluster 1 (variety of healthy foods and alcohols) compared to that of cluster 2 (rice and kimchi) was positively associated with changes in the IC score (ß = 0.41, 95% confidence interval [CI] = 0.04-0.78). In older women, the dietary pattern of cluster 1 (variety of healthy foods) was positively associated with changes in the IC score (ß = 0.30, 95% CI = 0.02-0.58), IC score group (ß = 0.11, 95% CI = 0.02-0.20), and psychological domain (ß = 0.25, 95% CI = 0.11-0.38) compared to that of cluster 3 (rice, vegetables, and kimchi). CONCLUSIONS: Dietary patterns (variety of healthy foods) were positively associated with changes in IC scores and their sub-domains in older adults.

Attention-deficit/hyperactivity disorder and subsequent diagnoses of major psychiatric disorders: a nationwide population-based study.

We evaluated the risk of being diagnosed with various psychiatric disorders after an attention-deficit/hyperactivity disorder (ADHD) diagnosis using data from South Korea's National Health Insurance Service from 2002 to 2019, which covers approximately 97% of the country's population. ADHD and control groups were selected after propensity score matching was performed for individuals diagnosed with ADHD and their age- and sex-matched counterparts from the general population. Comorbid psychiatric disorders included depressive disorder, bipolar disorder, tic disorder, and schizophrenia. The incidence of newly diagnosed psychiatric disorders was compared between the groups. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated and adjusted for ADHD medication prescription. After matching, 353,898 individuals were assigned to each of the two groups. Compared to the control group, the ADHD group showed a significantly higher risk of being subsequently diagnosed with depressive disorder, bipolar disorder, schizophrenia, and tic disorder. The onset age of depressive disorder, bipolar disorder, and schizophrenia in the ADHD group was 16-17 years, approximately 5 years earlier than that in the control group. The risk for depression was the highest in individuals with high income levels, and that for schizophrenia was the highest among rural patients. The median length of the follow-up time until the diagnosis of each comorbid psychiatric disorder was 7.53, 8.43, 8.53, and 8.34 years for depressive disorder, bipolar disorder, schizophrenia, and tic disorder, respectively. Individuals with ADHD had an overall higher risk of being diagnosed with subsequent psychiatric disorders than did the controls. Hence, they should be carefully screened for other psychiatric symptoms from an early age and followed up for an extended duration, along with appropriate interventions for ADHD symptoms, including psychosocial treatments and educational approaches.

The Life Functioning Scale: a Measurement Tool Developed to Assess the Physical Functioning Abilities of Community-Dwelling Adults Aged 50 Years or Older.

Background: This study aimed to develop an instrument for assessing physical functioning among adults aged 50 years or older living in the community. Methods: Based on a review of various national health surveys and cohort studies, a 144-item bank was constructed for assessing physical functioning. Focus group interviews were conducted among adults aged 50 years or older to investigate their level of understanding of 60 selected items, followed by a pretest of the items on a nationally representative sample (n = 508). The final 25-item questionnaire was tested on an independent sample (n = 259) for validity and reliability based on classical test and item response theories. Predictive validity at the 6-month follow-up was tested in a separate sample (n = 263). Results: The newly developed Life Functioning (LF) scale assessed the dimensions of functional limitations, disabilities, and social activities. The scale satisfied a one-dimensionality assumption with good item fit and demonstrated criterion validity, construct validity, high internal consistency (Cronbach's alpha = 0.93), and test-retest reliability (intra-class correlation coefficient = 0.84; 95% CI, 0.76-0.89). The LF scale comprised 25 items with a total score ranging from 0 to 100. Higher scores indicated higher levels of functioning. The LF score was significantly associated with the physical functioning score at 6 months. Conclusion: The LF scale was developed to assess the physical functioning of people in their late midlife or older. Future studies should test the instrument on a national sample and evaluate its application in diverse population subgroups.

Modulation of diabetic wound healing using carbon monoxide gas-entrapping materials.

Diabetic wound healing is uniquely challenging to manage due to chronic inflammation and heightened microbial growth from elevated interstitial glucose. Carbon monoxide (CO), widely acknowledged as a toxic gas, is also known to provide unique therapeutic immune modulating effects. To facilitate delivery of CO, we have designed hyaluronic acid-based CO-gas-entrapping materials (CO-GEMs) for topical and prolonged gas delivery to the wound bed. We demonstrate that CO-GEMs promote the healing response in murine diabetic wound models (full-thickness wounds and pressure ulcers) compared to N2-GEMs and untreated controls.

Trends in degenerative lumbar spinal surgery during the early COVID-19 pandemic in Republic of Korea: A national study utilizing the national health insurance database.

During the first year of the COVID-19 pandemic, the Republic of Korea (ROK) experienced three epidemic waves in February, August, and November 2020. These waves, combined with the overarching pandemic, significantly influenced trends in spinal surgery. This study aimed to investigate the trends in degenerative lumbar spinal surgery in ROK during the early COVID-19 pandemic, especially in relation to specific epidemic waves. Using the National Health Information Database in ROK, we identified all patients who underwent surgery for degenerative lumbar spinal diseases between January 1, 2019 and December 31, 2020. A joinpoint regression was used to assess temporal trends in spinal surgeries over the first year of the COVID-19 pandemic. The number of surgeries decreased following the first and second epidemic waves (p<0.01 and p = 0.34, respectively), but these were offset by compensatory increases later on (p<0.01 and p = 0.05, respectively). However, the third epidemic wave did not lead to a decrease in surgical volume, and the total number of surgeries remained comparable to the period before the pandemic. When compared to the pre-COVID-19 period, average LOH was reduced by 1 day during the COVID-19 period (p<0.01), while mean hospital costs increased significantly from 3,511 to 4,061 USD (p<0.01). Additionally, the transfer rate and the 30-day readmission rate significantly decreased (both p<0.01), while the reoperation rate remained stable (p = 0.36). Despite the impact of epidemic waves on monthly surgery numbers, a subsequent compensatory increase was observed, indicating that surgical care has adapted to the challenges of the pandemic. This adaptability, along with the stable total number of operations, highlights the potential for healthcare systems to continue elective spine surgery during public health crises with strategic resource allocation and patient triage. Policies should ensure that surgeries for degenerative spinal diseases, particularly those not requiring urgent care but crucial for patient quality of life, are not unnecessarily halted.