Prevalence of opioid dependence in spine surgery patients and correlation with length of stay

2007 ◽  
Vol 3 (3) ◽  
pp. 127 ◽  
Author(s):  
Mohammad Sami Walid, MD, PhD ◽  
Leon Hyer, PhD ◽  
Mohammed Ajjan, MD ◽  
Aaron C. M. Barth ◽  
Joe Sam Robinson, Jr, MD
Keyword(s):  
Regression Analysis ◽  
Length Of Stay ◽  
Pain Intensity ◽  
Spine Surgery ◽  
Opioid Dependence ◽  
Significant Positive Correlation ◽  
Pearson Correlation ◽  
World Health ◽  
Convenience Sample ◽  
Positive Correlation

Objective: We addressed the prevalence of opioid dependence (OD) in spine surgery patients and its correlation with length of stay (LOS) as the most important determinant of hospital cost.Methods: The study took place at Georgia Neurosurgical Institute and the Medical Center of Central Georgia between March 2006 and January 2007. A prospective convenience sample of 150 spine surgery patients (48 lumbar diskectomy, 60 cervical decompression and fusion, and 42 lumbar decompression and fusion [LDF]) was assembled. Patients were interviewed before surgery using a questionnaire designed in accordance with the World Health Organization and DSM-IV-TR criteria for the diagnosis of OD. The prevalence of OD was calculated based on questionnaire results. Pain intensity was quantified during admission using a 0-to-10 pain scale. We used pain intensity multiplied by duration of pain in months (WR index) as a new parameter. Lengths of stay were collected following patients’ discharge from hospital. Pearson correlation and regression analysis were performed using SPSS software.Results: Thirty (20.00 percent) patients were opioid dependent. The prevalence was highest among LDF patients (23.81 percent), females (22.78 percent), and, to a lesser degree, Caucasians (20.87percent). There was no correlation between OD and age (r = 0.08, p > 0.1) or between OD and LOS (r = 0.09, p > 0.1). This study proved a very significant positive correlation between OD and pain intensity (r = 0.24, p < 0.01) and between OD and the WR index (r = 0.30, p < 01). On the other hand, there was a significant positive correlation between LOS and age(r= 0.42, p < 0.01), between LOS and the number of previous spine surgeries (r = 0.28, p < 01), and between LOS and duration of pain (r = 0.18, p < 0.05). Regression analysis showed that age, ethnicity, and type of surgery were the main determinants of LOS.Conclusions: Chronic pain and prolonged use of opioids raise the prevalence of OD in spine surgery patients to 20 percent. The lack of effect of OD on LOS after surgical intervention means that efforts to decrease LOS by trying to satisfy patients’ craving for opioids will not be fruitful. Older, African-American LDF patients with a lengthy history of pain and multiple spine surgeries in the past are the most likely to stay longer in hospital.

Interaction of Age and Opioid Dependence on Length of Hospital Stay for Spine Surgery Patients

2009 ◽  
Vol 105 (2) ◽  
pp. 361-364 ◽  
Author(s):  
Leon A. Hyer ◽  
M. Sami Walid ◽  
Andrew M. Brooks ◽  
Dana M. Darmohray ◽  
Joe Sam Robinson
Keyword(s):  
Length Of Stay ◽  
Spine Surgery ◽  
Opioid Dependence ◽  
Length Of Hospital Stay ◽  
Clinical Information ◽  
World Health ◽  
Age Group ◽  
Who Criteria ◽  
Poor Outcomes ◽  
Health Organization

Clinical information suggests that opioid dependence is a major contributor to poor outcomes involving health status and to increased length of stay in hospital settings. Before spine surgery, 150 patients who were using an opioid medication for pain relief were interviewed using the six World Health Organization (WHO) guidelines for the diagnosis of opioid dependence. Three groups were defined: opioid-dependent, nonopioid-dependent, and a subclinical group. Results revealed an average of 20% of patients ( N = 30) who met the WHO criteria for the diagnosis of opioid dependence. There were significant positive correlations between age and number of positive WHO criteria, length of stay, and time under surgery. Length of stay was significantly higher for the older age group (> 55 yr.). ANCOVA analysis using two opioid dependence groups (+ and -) and age group as independent variables affecting length of stay, after controlling for type of surgery, pain intensity, and number of previous spine surgeries, revealed that effects of opioid dependence status and age were significant but their interaction was not. Age did add length of stay independently of opioid dependence status; older adults remain in the hospital longer for various reasons probably associated with comorbidities.

scholarly journals Correlation between Occurrence of Psychosomatic Disorders and Age during COVID-19 Lockdown

2021 ◽  
Author(s):  
Hetvi Bharatbhai Jethloja ◽  
Priyanka Birjubhai Unadkat ◽  
Radhika Kanaiyalal Raichura ◽  
Janvi Narendrasinh Rana ◽  
Nidhi Sudhir Ved
Keyword(s):  
Significant Positive Correlation ◽  
Pearson Correlation ◽  
P Value ◽  
Psychosomatic Disorders ◽  
Psychosomatic Disorder ◽  
Cross Sectional ◽  
Positive Correlation ◽  
Scale Scores ◽  
The Mean ◽  
Group 2

Introduction: The Coronavirus Disease-2019 (COVID-19) has caused a serious threat to people’s mental health causing psychosomatic disorders such as panic disorder, anxiety, and depression. Aim: To find out the correlation between the occurrence of psychosomatic disorders and age during the COVID-19 lockdown phase. Materials and Methods: This cross-sectional, observational study was conducted in Department of Physiotherapy at RK University, Rajkot, Gujarat, India. Males and females of age ≥21 years, with an ability to understand and fill Google form were recruited for the study. The subjects were divided into four groups according to age 21-34 years, 35-54 years, 55-64 years, and 65 years and older. There were 250 participants in each group. The subjects were asked to fill the COVID-19 Peritraumatic Distress Index (CPDI). Data were analysed by using software Statistical Package for the Social Science (SPSS) version 20. The normality of data was checked by the Shapiro Wilk test. Data followed parametric type so; Pearson correlation test was applied to find out the correlation between age and CPDI score. Results: The mean age of the population was 49.24±18.14 years. The mean CPDI scale scores were 27.572, 31.948, 31.364, and 35.328, respectively from groups 1 to 4. There was a significant positive correlation (p-value=0.031) in group 4, while no significance was found in group 1 (p-value=0.074), group 2 (p-value=0.067), and group 3 (p-value=0.062) Conclusion: There was a significant positive correlation between age and psychosomatic disorder occurrence in the geriatric age group (65 years and older) in the Rajkot city.

scholarly journals Religiusitas, Dukungan Sosial dan Resiliensi Korban Lumpur Lapindo Sidoarjo

2016 ◽  
Vol 4 (02) ◽  
Author(s):  
Aris Setiawan ◽  
Niken Titi Pratitis
Keyword(s):  
Social Support ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Significant Positive Correlation ◽  
Positive Relationship ◽  
Positive Correlation ◽  
Resilience Scale ◽  
Social Support Scale

Abstract. The purpose of this study to examine the relation between religiosity and socialsupport to the resilience of Lapindo Sidoarjo Mudflow victims. Research variables weremeasured using resilience scale, scale of religiosity and social support scale. Subjectswere 60 victims of Lapindo mudflow that are married, age 20-40, and as a native. Datawere analyzed using multiple regression analysis. The results of multiple regressionanalysis showed that the variables religiosity and social support significantly associatedwith resilience (F = 22.863 at p = 0.000). Both variables contributed 44.5% towardsresilience. Separately, religiosity has a positive relationship with resilience (t = 2.439 to p= 0.018). Social support has a significant positive correlation with resilience (t = 4.952 atp = 0.000).Keywords: Religiosity, Social support, Resilience.

scholarly journals Platelet Indices as Potential Monitoring Biomarkers in COVID-19: A New Hope

2021 ◽  
Vol 25 (1) ◽  
pp. 134-139
Author(s):  
Attika Khalid ◽  
Sami Saeed ◽  
Madeeha Rehan ◽  
Nadia Arif
Keyword(s):  
Serum Ferritin ◽  
Mean Platelet Volume ◽  
Inflammatory Markers ◽  
Significant Positive Correlation ◽  
Pearson Correlation ◽  
P Value ◽  
Platelet Volume ◽  
Platelet Indices ◽  
Positive Correlation ◽  
The Relationship

Objective: To investigate the relationship between established acute inflammatory markers in COVID-19 patients with Mean platelet volume (MPV) and Platelet large cell ratio (P-LCR). Materials and Methods: This was a retrospective longitudinal study conducted at Fauji Foundation Hospital, Rawalpindi from 10th June to 10th August 2020. Biochemical parameters i.e. CRP, serum ferritin, LDH, and pro-BNP as well as hematological parameters (MPV and P-LCR) were noted once every week during admission of all the COVID-19 positive patients.Data were analyzed using IBM-SPSS version 23. Repeated measure ANOVA using a generalized linear model was done to check the trend of values during the duration of their stay. Pearson Correlation analysis and regression models were estimated to check the relationship of MPV and P-LCR with C- reactive protein, serum Ferritin, LDH, and pro-BNP. P-values less than 0.05 were considered statistically significant. Results: The mean age of the studied group was 55.47 (SD=±15.0) years with the female to male ratio being 2:1. Mean platelet volume showed a statistically significant positive correlation with the established set of inflammatory markers other than pro-BNP with a p-value of less than 0.05.P-LCR however showed a positive correlation with CRP (p-value of less than 0.05) only with no significant correlation with other biochemical markers. Conclusion: MPV is reported on routine complete blood count report (CBC). It is readily available at even the most under-resourced health centers; therefore reporting the platelet indices does not require extra testing, sampling, or reagent cost. A statistically significant positive correlation amongst the established acute inflammatory markers and relatively understudied platelet indices (MPV) in COVID-19 provides a cost-effective, readily available, and time-efficient tool for marking disease progression.

scholarly journals Relationship between water quality assessment and phytoplankton community structure of M River in Shijiazhuang City

2021 ◽  
Vol 267 ◽  
pp. 01026
Author(s):  
Ziqi Zhang ◽  
Lei Yang ◽  
Zemeng Duan ◽  
Hongyan Shen
Keyword(s):  
Water Quality ◽  
Community Structure ◽  
Water Temperature ◽  
Significant Positive Correlation ◽  
Phytoplankton Community ◽  
Diversity Index ◽  
Pearson Correlation ◽  
Phytoplankton Community Structure ◽  
Positive Correlation ◽  
Quality Indexes

On the basis of the “Environmental quality standard for surface water” (GB 3838-2002) in China, eight water quality indexes were measured in M River, including pH, water temperature (T), transparency (SD), dissolved oxygen (DO), chemical needs Oxygen (COD), ammonia nitrogen (NH3-N), total nitrogen (TN), total phosphorus (TP). Using the single factor index method, it is concluded that the water pollution of M River is serious and the water quality is beyond Grade V of water environment standard. Moreover some indexes of the water quality meet with the standard level, including COD, NH3-N, TN and TP. The Pearson correlation analysis is conducted between water quality indexes and phytoplankton community parameters. After phytoplankton qualitative and quantitative analysis, the phytoplankton community characteristics in Minxin River were analyzed by Dominance index (Y), Shannon-Wiener diversity index (H’), Margalef Species diversity index (d) and Pielou evenness index (J). H’ and TN was a significant positive correlation (r = 0.923, P <0.05); J and COD was a significant positive correlation (r = 0.918, P <0.05); There was a very significant negative correlation between d and water temperature (T), COD, NH3-N, TN (r =-0.881, P <0.01; r =-0.983, P <0.01; r =-0.893, P <0.01; r=-0.962, P<0.01). The result of the research indicates that T, COD, NH3-N and TN are main water quality indexes affecting phytoplankton community structure.

Predicting length of stay for acute medical admissions using the ALICE score: a simple bedside tool

2017 ◽  
Vol 16 (2) ◽  
pp. 60-64
Author(s):  
Daniel Wilding ◽  
◽  
Kate Evans ◽  
Keyword(s):  
Length Of Stay ◽  
Retrospective Review ◽  
Early Identification ◽  
Decision Aid ◽  
Significant Positive Correlation ◽  
Limited Resources ◽  
Positive Correlation ◽  
Acute Hospitals ◽  
Clinical Records ◽  
Simple Bedside

Background: Early identification of patients likely to have a short admission permits best use of limited resources to facilitate rapid discharge where possible. The ALICE score is a simple bedside tool developed in one hospital as a decision aid. This study sought to confirm its widespread applicability. Method: Retrospective review of 250 consecutive admissions at five acute hospitals. Clinical records were reviewed for a total of 1003 patients. ALICE score was calculated for each patient and compared to LoS data. Results: There was a statistically significant positive correlation between rising ALICE scores and increasing length of stay irrespective of final diagnoses. Conclusion: The ALICE score provides a simple bedside tool to predict length of stay.

scholarly journals FEAR OF FAILURE, PARENT’S SUPPORT, AND STUDY MOTIVATION AMONG STUDENTS IN PESANTREN

Proyeksi ◽  
2012 ◽  
Vol 7 (1) ◽  
pp. 87
Author(s):  
Latifah Nur Ahyani ◽  
Syaroh Madyaningtyas Asmarani
Keyword(s):  
Regression Analysis ◽  
Significant Positive Correlation ◽  
Fear Of Failure ◽  
Positive Correlation ◽  
Coefficient Corrélation ◽  
Motivation Scale ◽  
Study Motivation ◽  
Effective Contribution ◽  
Correlation Number

This study was conducted in order to verify relationship among fear of failure, parent’s support andstudy motivation in pesantren’s students. Subjects of research were 32 students from grade XIIPesantren MA NU Banat Kudus and 48 students in Pesantren MA Muhammadiyah Kudus. This was apopulation study, employing study motivation scale, fear of failure scale, and parent’s support scale asmeasurement tools. Data of research were analysed using two predictor regression analysis (anareg),resulted in coefficient correlation number of the three variables = 0,761 whereas thesignificance level was = 0,000 (p<0, 01). This means there is very significant positive correlation amongfear of failure, parent’s support and study motivation among students in the two pesantrens. The morefear of failure and parent’s support, the more study motivation would be, otherwise the less fear offailure and parent’s support, the less study motivation would be. Effective contribution of fear of failureto study motivation was 0, 2%, while effective contribution of parent’s support to study motivation was57, 7%

Assessment of Physico-Chemical Properties of the Pasur River Estuarine Water

2021 ◽  
Vol 24 (1) ◽  
pp. 1-16
Author(s):  
SHT Shefat ◽  
MA Chowdhury ◽  
F Haque ◽  
J Hasan ◽  
MA Salam ◽  
...  
Keyword(s):  
Negative Correlation ◽  
Significant Positive Correlation ◽  
Pearson Correlation ◽  
Chemical Properties ◽  
Dry Season ◽  
Estuarine System ◽  
Positive Correlation ◽  
Practical Salinity Unit ◽  
Physico Chemical ◽  
River Estuarine

This study aimed to investigate physico-chemical properties of the Pasur River Estuarine (PRE) water connected to the Sundarbans mangrove ecosystem during the dry season for examining the ecosystem health. In-situ measurement and water sample collection were performed to assess physico-chemical properties at fifteen sampling stations along the main axis of the estuary in March 2018, April 2018, January 2019 and March 2019. Surface water temperature ranged from 20.7 to 33.7°C, pH from 7.1 to 7.9, and salinity from 8.5 to 16.2 PSU (practical salinity unit). Dissolved Oxygen (DO) concentration varied from 5.9 to 8.4 mg/L. Ammonium-nitrogen (NH4 +) was the dominant nitrogenous compound among the dissolved inorganic nitrogenous (NH4 + +NO3 -+NO2 -) compounds, and ranged from 0.11 to 2.11 mg/L. Higher NH4 + concentration in water column was largely attributed to release by tidal wash-out of the interstitial waters of the surficial mangrove sediments. In contrast, phosphate concentration varied from 0.07 to 5.8 mg/L. The Pearson correlation coefficient was calculated to elucidate the correlation among physico-chemical properties during the dry season. Temperature showed a significant positive correlation with salinity and total dissolved solids (TDS), and negative correlation with DO. Similarly, salinity showed a significant positive correlation with TDS and negative correlation with DO. According to the Redfield ratio, the PRE is a nitrogen-limited estuarine system during the dry season. Ann. Bangladesh Agric. (2020) 24(1) : 1-16

scholarly journals Association between ANGPTL3, 4, and 8 and lipid and glucose metabolism markers in patients with diabetes

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0255147
Author(s):  
Marina Harada ◽  
Tadashi Yamakawa ◽  
Rie Kashiwagi ◽  
Akeo Ohira ◽  
Mai Sugiyama ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Lipid Metabolism ◽  
Glucose Metabolism ◽  
Significant Positive Correlation ◽  
Therapeutic Agents ◽  
Diabetes Treatment ◽  
Blood Samples ◽  
Lipid Management ◽  
Positive Correlation ◽  
Patients With Diabetes

Lipid management, especially with respect to triglyceride (TG) metabolism, in patients with diabetes is not sufficient with current therapeutic agents, and new approaches for improvement are needed. Members of the angiopoietin-like protein (ANGPTL) family, specifically ANGPTL3, 4, and 8, have been reported as factors that inhibit lipoprotein lipase (LPL) activity and affect TGs. The present study investigated the association between lipid and glucose metabolism markers and the mechanism by which these proteins affect lipid metabolism. A total of 84 patients hospitalized for diabetes treatment were evaluated. Lipid and glucose metabolism markers in blood samples collected before breakfast, on the day after hospitalization, were analyzed. ANGPTL8 showed a significant positive correlation with TG values. HDL-C values displayed a significant positive correlation with ANGPTL3 but a negative correlation with ANGPTL4 and ANGPTL8. The results did not indicate a significant correlation among ANGPTL3, 4, and 8 levels. Thus, it is possible that the distribution of these proteins differs among patients. When patients were divided into groups according to the levels of ANGPTL3 and ANGPTL8, those with high levels of both ANGPTL3 and ANGPTL8 also had high levels of TG and small dense LDL-C/LDL-C (%). Multiple regression analysis indicated that low LPL, high ApoC2, high ApoC3, high ApoE, and high ANGPTL8 levels were the determinants of fasting hypertriglyceridemia. By contrast, no clear association was observed between any of the ANGPTLs and glucose metabolism markers, but ANGPTL8 levels were positively correlated with the levels of HOMA2-IR and BMI. Patients with high levels of both ANGPTL3 and ANGPTL8 had the worst lipid profiles. Among ANGPTL3, 4, and 8, ANGPTL8 is more important as a factor determining plasma TG levels. We anticipate that the results of this research will facilitate potential treatments targeting ANGPTL8 in patients with diabetes.

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