Perioperative mortality among geriatric patients in Ethiopia: a prospective cohort study
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PROVIDER: S-EPMC10651902 | biostudies-literature | 2023 Jan
REPOSITORIES: biostudies-literature
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Project description:Trauma is the leading cause of mortality in persons under 45 and a significant public health issue. Trauma is the most frequent cause of perioperative mortality among all surgical patients. Little is known about perioperative outcomes among trauma patients in low-income countries. This study aimed to assess the incidence and identify predictors of perioperative mortality among adult trauma victims at Tibebe Ghion Specialised Hospital. From June 1, 2019, to June 30, 2021, a prospective cohort study was conducted at Tibebe Ghion Specialized Hospital. Demographic, pre-hospital and perioperative clinical data were collected using an electronic data collection tool, Research Electronic Data Capture (REDCap). Cox proportional hazard model regression was used to assess the association between predictors and perioperative mortality among trauma victims. Crude and adjusted hazard ratio (HR) with a 95% confidence interval (CI) was computed; a p-value < 0.05 was a cutoff value to declare statistical significance. One thousand sixty-nine trauma patients were enrolled in this study. The overall incidence of perioperative mortality among trauma patients was 5.89%, with an incidence rate of 2.23 (95% CI 1.74 to 2.86) deaths per 1000 person-day observation. Age ≥ 65 years (AHR = 2.51, 95% CI: 1.04, 6.08), patients sustained blunt trauma (AHR = 3.28, 95% CI: 1.30, 8.29) and MVA (AHR = 2.96, 95% CI: 1.18, 7.43), trauma occurred at night time (AHR = 2.29, 95% CI: 1.15, 4.56), ASA physical status ≥ III (AHR = 3.84, 95% CI: 1.88, 7.82), and blood transfusion (AHR = 2.01, 95% CI: 1.08, 3.74) were identified as a significant predictor for perioperative mortality among trauma patients. In this trauma cohort, it was demonstrated that perioperative mortality is a healthcare burden. Risk factors for perioperative mortality among trauma patients were old age, patients sustaining blunt trauma and motor vehicle accidents, injuries at night, higher ASA physical status, and blood transfusion. Trauma care services need improvement in pre-hospital and perioperative care.
| S-EPMC10739862 | biostudies-literature
Project description:BackgroundThere was recording of excellent outcomes for pediatric surgery in developed countries of the world when it was carried out by an experienced pediatric surgeon and anesthetists with availabilities of equipment. However, this circumstance was not the ordinary for developing countries. The main objective of our study was to launch a pediatric perioperative mortality rate reference point and determination of associated factors under general or regional anesthesia in Ethiopia.Materials and methodsthe prospective electronic based data collection was done at Tibebe Ghion Specialized Teaching Hospital, Ethiopia with case specific of perioperative data for age less than 18 years old. We computed patients with mortality at 24 h, 48 h and 7 days in the form of percentages. Logistic regression was used for evaluation of mortality at different predictor variables.Resultsfrom 849 cases analyzed, there were mortality rate of 0.59%, 1.42%, and 2.58% within 24 h, 48 h and 7 days of surgery, respectively. The emergency surgeries (OR = 2.80 [95% CI, 1.78-3.82]; p < 0.03) were associated with an increased risk of mortality within 7 days of post-surgery.ConclusionDespite the progresses reached in the pediatric anesthesia and surgical safety in Tibebe Ghion Specialized Teaching Hospital, the pediatric perioperative mortality rates were still high or comparable to other low income African countries. Emergency surgeries were associated with an increased risk of perioperative mortality within 7 days of surgical intervention.Tibebe Ghion Specialized Teaching Hospital should emphasis on evaluation and monitoring of outcome for reduction of mortality with the emergency surgeries younger than 18 years old. We also suggested doing this research work at larger sample sizes for more actual information.
| S-EPMC8209180 | biostudies-literature
Project description:Background: The COVID-19 pandemic continues to have an impact on geriatric patients worldwide since geriatrics itself is an age group with a high risk due to declined physiological function and many comorbidities, especially for those who undergo surgery. In this study, we determine the association between perioperative factors with 30-day mortality and a survival rate of geriatric patients undergoing surgery during COVID-19 pandemic. Methods: A prospective cohort study was conducted at 14 central hospitals in Indonesia. The recorded variables were perioperative factors, 30-day mortality, and survival rate. Analyses of associations between variables and 30-day mortality were performed using univariate/multivariable logistic regression, and survival rates were determined with Kaplan-Meier survival analysis. Results: We analyzed 1621 elderly patients. The total number of patients who survived within 30 days of observation was 4.3%. Several perioperative factors were associated with 30-day mortality (p < 0.05) is COVID-19 (OR, 4.34; 95% CI, 1.04-18.07; p = 0.04), CCI > 3 ( odds ratio [OR], 2.33; 95% confidence interval [CI], 1.03-5.26; p = 0.04), emergency surgery (OR, 3.70; 95% CI, 1.96-7.00; p ≤ 0.01), postoperative ICU care (OR, 2.70; 95% CI, 1.32-5.53; p = 0.01), and adverse events (AEs) in the ICU (OR, 3.43; 95% CI, 1.32-8.96; p = 0.01). Aligned with these findings, COVID-19, CCI > 3, and comorbidities have a log-rank p < 0.05. The six comorbidities that have log-rank p < 0.05 are moderate-to-severe renal disease (log-rank p ≤ 0.01), cerebrovascular disease (log-rank p ≤ 0.01), diabetes with chronic complications (log-rank p = 0.03), metastatic solid tumor (log-rank p = 0.02), dementia (log-rank p ≤ 0.01), and rheumatology disease (log-rank p = 0.03). Conclusions: Having at least one of these conditions, such as COVID-19, comorbidities, emergency surgery, postoperative ICU care, or an AE in the ICU were associated with increased mortality in geriatric patients undergoing surgery during the COVID-19 pandemic.
| S-EPMC9506116 | biostudies-literature
Project description:BackgroundPerioperative pediatric mortality is significantly higher in low-resource countries due to a scarcity of well-trained professionals and a lack of well-equipped pediatric perioperative services. There has been little research on pediatric mortality in low-income countries. Therefore, this study aimed to assess the incidence of perioperative pediatric mortality and its predictors in 28-day follow-up.MethodsThe data were collected using REDCap, an electronic data collection tool, between June 01, 2019 and July 01, 2021. This study includes pediatric patients aged 0 to 17 years who underwent surgery in Tibebe Ghion Specialized Hospital over 28 days with a total of 1171 patients. STATA version 17 software was used for data analysis. Log-rank tests were fitted to explore survival differences. After bivariable and multivariable Cox regression analysis, an Adjusted Hazard Ratio (AHR) with a 95% Confidence Interval (CI) was reported to declare the strength of association and statistical significance.ResultsThere were 35 deaths in the cohort of 1171 pediatric patients. Twenty of the deaths were in neonates. The overall perioperative mortality among pediatric patients was 2.99%, with an incidence rate of 1.11 deaths per 1000 person day observation (95% CI 0.79, 1.54). The neonatal age group had an AHR = 9.59, 95% CI 3.77, 24.3), transfusion had an AHR = 2.6, 95% CI 1.11, 6.09), and the America Society of Anesthesiology physical status classification III and above had an AHR = 4.39, 95% CI 1.61, 11.9 were found the significant predictors of perioperative pediatric mortality.ConclusionsIn this study, the perioperative mortality of pediatric patients was high in the 28-day follow-up. Neonatal age, transfusion, and America Society of Anesthesiology physical status III and above were significant predictors of pediatric mortality. Therefore, perioperative surgical teams should give special attention to neonates, the America Society of Anesthesiology physical status III and above, and transfusion to reduce pediatric mortality.
| S-EPMC10768305 | biostudies-literature
Project description:Understanding the plasma proteome dynamics in sepsis patients is crucial for improving prognostic and therapeutic strategies, as sepsis remains a leading cause of mortality in intensive care units. In this study, 363 patients with newly diagnosed sepsis were enrolled and plasma was collected on the first and fourth day after diagnosis. Proteome analysis was performed using liquid chromatography–tandem mass spectrometry. The plasma proteome was analyzed via classical statistical analysis and machine learning to identify associations with 30-day survival. Out of 363 sepsis patients, 224 survived and 139 did not survive the 30-day period. Significant differences in the abundance of 87 proteins on day 1 and 95 proteins on day 4 were found between survivors and non-survivors. Additionally, between days 1 and 4, 63 proteins were differentially regulated between both groups. We found that protein regulations within the first days of sepsis were generally associated with a worse outcome. Statistical analysis revealed the underlying proteins to be foremost related to blood coagulation, immune response and complement activation. Complementarily, the machine learning classifier achieved an area under the receiver operating characteristic curve of 0.75 for predicting 30-day survival. The feature importance analysis highlighted additional proteins and substantiated the findings of univariate statistics. This study describes the temporal alterations of the plasma proteome and the underlying protein networks that are associated with survival. These findings enhance the understanding of sepsis pathophysiology and the identified proteins might serve as starting points for further investigations and guide the development of targeted therapeutic strategies.
2024-12-16 | PXD055932 | Pride
Project description:BackgroundNon-communicable diseases account for nearly three-fourths of global deaths impacting public health and development. Coexisting diseases can complicate the management of surgical diseases, increasing the risk of perioperative mortality. Despite this, few studies have examined the burden of comorbidities among surgical patients and their effect on perioperative outcomes in low-income countries. In this study, we assessed the impact of comorbidity burden on 28-day perioperative mortality using a prospective data set.MethodsThis was a facility-based prospective cohort study. Adult patients aged ≥ 18 who underwent non-cardiac surgery were included. Patients were followed for 28 days following surgery. Perioperative data were collected using an electronic data collection system from June 01, 2019, to June 30, 2021, at Tibebe Ghion Specialized Hospital, Northwest, Ethiopia. A propensity score-matched analysis was employed to assess the effect of comorbidity on the 28-day perioperative mortality rate.ResultsOf the 3030 patients included in this study, 715 (23.59%) had at least one comorbidity. Based on the prevalence rate, the top four comorbid conditions observed were hypertension (0.050), cancer (0.036), diabetes mellitus (0.021), and human immunodeficiency virus (0.021). The 28-day perioperative mortality rate was shown to be significantly higher among patients with comorbidity, where 45 (6.29%) of the 715 patients with comorbidity died compared to 49 (2.12%) of the 2315 patients with no comorbidity (p-value < 0.0001). After propensity score matching potential confounders, patients who have comorbidity had a 2.52% (average treatment effect on treated (ATT) = 0.0252) higher risk of perioperative death at 28 days after surgery compared with patients who did not have comorbidity.ConclusionThis study found a moderate prevalence of comorbid illnesses among non-cardiac surgical patients, with comorbidity increasing the risk of 28-day perioperative mortality. Preoperative screening and optimization are highly recommended for patients with comorbid illness to decrease perioperative mortality rate.
| S-EPMC11559140 | biostudies-literature
Project description:ObjectiveThis study aimed to assess the incidence and identify predictors of perioperative mortality among the adult age group at Tibebe Ghion Specialised Hospital.DesignA single-centre prospective follow-up study.SettingA tertiary hospital in North West Ethiopia.ParticipantsWe enrolled 2530 participants who underwent surgery in the current study. All adults aged 18 and above were included except those with no telephone.Primary outcome measuresThe primary outcome was time to death measured in days from immediate postoperative time up to the 28th day following surgery.ResultA total of 2530 surgical cases were followed for 67 145 person-days. There were 92 deaths, with an incidence rate of 1.37 (95% CI 1.11 to 1.68) deaths per 1000 person-day observations. Regional anaesthesia was significantly associated with lower postoperative mortality (adjusted hazard ratio (AHR) 0.18, 95% CI 0.05 to 0.62). Patients aged ≥65 years (AHR 3.04, 95% CI 1.65 to 5.75), American Society of Anesthesiologist (ASA) physical status III (AHR 2.41, 95% CI 1.1.13 to 5.16) and IV (AHR 2.74, 95% CI 1.08 to 6.92), emergency surgery (AHR 1.85, 95% CI 1.02 to 3.36) and preoperative oxygen saturation <95% (AHR 3.14, 95% CI 1.85 to 5.33) were significantly associated with a higher risk of postoperative mortality.ConclusionThe postoperative mortality rate at Tibebe Ghion Specialised Hospital was high. Age ≥65, ASA physical status III and IV, emergency surgery, and preoperative oxygen saturation <95% were significant predictors of postoperative mortality. Patients with the identified predictors should be offered targeted treatment.
| S-EPMC10163475 | biostudies-literature
Project description:Prospective cohort carriage study
| PRJEB53187 | ENA
Project description:ObjectiveTo evaluate whether major adverse cardiac events (MACE) continue to be a major causative factor for mortality after noncardiac surgery.Patients and methodsWe performed retrospective study of 75,410 adult noncardiac surgery patients at Mayo Clinic Rochester, between January 1, 2016, and May 4, 2018. Electronic medical records were reviewed and data collected on all deaths within 30 days (n=692 patients) of surgery. The incidence of death due to MACE was calculated.ResultsPostoperative MACE occurred in 150 patients (21.4 events per 10,000 patients; 95% CI, 18.2-25.2 events per 10,000 patients) with most occurring within 3 days of surgery (n=113). Postoperative MACE events were associated with atrial fibrillation with rapid rate response in 25 patients (16.7%), sepsis in 15 patients (10%), and bleeding in 15 patients (10%). There were 12 intraoperative deaths of which 9 were due to exsanguination (75%) and the remaining 3 (25%) due to cardiac arrest. Of the 56 deaths on the first 24 hours after surgery, 7 were due to hemorrhage, 17 due to cardiovascular causes, 20 due to sepsis, and 7 due to neurologic disease. The leading cause of total death over 30 days postoperatively was sepsis (28%), followed by malignancy (27%), cardiovascular disease (12%) neurologic disease (12%), and hemorrhage (5%).ConclusionMACE was not the leading cause of death both intraoperatively and postoperatively.
| S-EPMC11387539 | biostudies-literature
Project description:Delayed graft function (DGF) is a type of acute renal failure that is closely linked to the immune system. The objective of this study is to investigate immune trends during the perioperative period of renal transplantation and compare the variations between patients with DGF and immediate graft function (IGF). A total of 48 kidney transplant patients were enrolled. Parameters including stimulated adenosine triphosphatase concentrations (sATP), nonstimulated ATP concentrations, white blood cells, and lymphocyte count were assessed. Patients were categorized into the DGF or IGF group. Clinical information and changes in immune markers were compared. Receiver operating characteristic analysis was performed to determine the sensitivity and specificity in predicting DGF. Additionally, separate immune function analyses were conducted for the 3 infection cases. Following induction immunosuppressive therapy, white blood cells, and neutrophil count showed a significant initial increase followed by a gradual decline. Lymphocyte count, nonstimulated ATP concentrations, and sATP exhibited an initial significant decrease followed by a slow recovery. Immune markers between the DGF and IGF groups were significantly different at day 4 after renal transplantation. Only sATP levels at day 4 after renal transplantation (area under the curve = 0.731, sensitivity = 0.864, specificity = 0.684) demonstrated predictive value for DGF occurrence. Among the 3 infection cases, 2 cases exhibited persistently decreased sATP levels and died within the first month and 6 months, while the remaining case showed a recovery of sATP levels at D9 and survived. These findings indicate that sATP level can potentially serve as a biomarker reflecting the impact of immunosuppressants. Poor recovery of sATP may be associated with DGF, infection, or even mortality.
| S-EPMC11495714 | biostudies-literature