Changing Epidemiology of Intestinal Obstruction in Ghana: Signs of Increasing Surgical Capacity and an Aging Population

2015 ◽  
Vol 32 (5) ◽  
pp. 389-396 ◽  
Author(s):  
Adam Gyedu ◽  
Francis Abantanga ◽  
Ishmael Kyei ◽  
Godfred Boakye ◽  
Barclay T. Stewart

Introduction: This study aimed to describe the epidemiology and outcomes of intestinal obstruction at a tertiary hospital in Ghana over time. Methods: Records of all patients admitted to a tertiary hospital from 2007 to 2011 with intestinal obstruction were identified using ICD-9 codes. Sociodemographic and clinical data were compared to a previously published series of intestinal obstructions from 1998 to 2003. Factors contributing to longer than expected hospital stays and death were further examined. Results: Of the 230 records reviewed, 108 patients (47%) had obstructions due to adhesions, 50 (21%) had volvulus, 22 (7%) had an ileus from perforation and 14 (6%) had intussusception. Hernia fell from the 1st to the 8th most common cause of obstruction. Patients with intestinal obstruction were older in 2007-2011 compared to those presenting between 1998 and 2003 (p < 0.001); conditions associated with older age (e.g. volvulus and neoplasia) were more frequently encountered (p < 0.001). Age over 50 years was strong factor of in-hospital death (adjusted OR 14.2, 95% CI 1.41-142.95). Conclusion: Efforts to reduce hernia backlog and expand the surgical workforce may have had an effect on intestinal obstruction epidemiology in Ghana. Increasing aging-related pathology and a higher risk of death in elderly patients suggest that improvement in geriatric surgical care is urgently needed.

Author(s):  
Leora Horwitz ◽  
Simon A. Jones ◽  
Robert J. Cerfolio ◽  
Fritz Francois ◽  
Joseph Greco ◽  
...  

Early reports showed high mortality from Covid-19; by contrast, the current outbreaks in the southern and western United States are associated with fewer deaths, raising hope that treatments have improved. However, in Texas for instance, 63% of diagnosed cases are currently under 50, compared to only 52% nationally in March-April. Current demographics in Arizona and Florida are similar. Therefore, whether decreasing Covid-19 mortality rates are a reflection of changing demographics or represent improvements in clinical care is unknown. We assessed outcomes over time in a single health system, accounting for changes in demographics and clinical factors. Methods We analyzed biweekly mortality rates for admissions between March 1 and June 20, 2020 in a single health system in New York City. Outcomes were obtained as of July 14, 2020. We included all hospitalizations with laboratory-confirmed Covid-19 disease. Patients with multiple hospitalizations (N=157, 3.3%) were included repeatedly if they continued to have laboratory-confirmed disease. Mortality was defined as in-hospital death or discharge to hospice care. Based on prior literature, we constructed a multivariable logistic regression model to generate expected risk of death, adjusting for age; sex; self-reported race and ethnicity; body mass index; smoking history; presence of hypertension, heart failure, hyperlipidemia, coronary artery disease, diabetes, cancer, chronic kidney disease, or pulmonary disease individually as dummy variables; and admission oxygen saturation, D-dimer, C reactive protein, ferritin, and cycle threshold for RNA detection. All data were obtained from the electronic health record. We then calculated the sum of observed and expected deaths in each two-week period and multiplied each period's observed/expected (O/E) risk by the overall average crude mortality to generate biweekly adjusted rates. We calculated Poisson control limits and indicated points outside the control limits as significantly different, following statistical process control standards. The NYU institutional review board approved the study and granted a waiver of consent. Results We included 4,689 hospitalizations, of which 4,661 (99.4%) had died or been discharged. The median age, and the proportion male or with any comorbidity decreased over time; median real-time PCR cycle threshold increased (indicating relatively less concentration of virus) (Table). For instance, median age decreased from 67 years in the first two weeks to 49 in the last two. Peak hospitalizations were during the fifth and sixth study weeks, which accounted for 40% of the hospitalizations. Median length of stay for patients who died or were discharged to hospice was 8 days (interquartile range, 4-16). Unadjusted mortality dropped each period, from 30.2% in the first two weeks to 3% in the last two weeks, with the last eight weeks being lower than the 95% control limits. Risk adjustment partially attenuated the mortality decline, but adjusted mortality rates in the second-to-last two weeks remained outside the control limits (Figure, Table). The O/E risk of mortality decreased from 1.07 (0.64-1.67) in the first two weeks to 0.39 (0.08-1.12) in the last two weeks. Discussion In this 16-week study of Covid-19 mortality at a single health system, we found that changes in demographics and severity of illness at presentation account for some, but not all, of the decrease in unadjusted mortality. Even after risk adjustment for a variety of clinical and demographic factors, mortality was significantly lower towards the end of the study period. Incremental improvements in outcomes are likely a combination of increasing clinical experience, decreasing hospital volume, growing use of new pharmacologic treatments (such as corticosteroids, remdesivir and anti-cytokine treatments), non-pharmacologic treatments (such as proning), earlier intervention, community awareness, and lower viral load exposure from increasing mask wearing and social distancing. It is also possible that earlier periods had a more virulent circulating strain. In summary, data from one health system suggest that Covid-19 remains a serious disease for high risk patients, but that outcomes may be improving.


Open Heart ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. e001526
Author(s):  
Elena Tessitore ◽  
David Carballo ◽  
Antoine Poncet ◽  
Nils Perrin ◽  
Cedric Follonier ◽  
...  

ObjectiveHistory of cardiovascular diseases (CVDs) may influence the prognosis of patients hospitalised for COVID-19. We investigated whether patients with previous CVD have increased risk of death and major adverse cardiovascular event (MACE) when hospitalised for COVID-19.MethodsWe included 839 patients with COVID-19 hospitalised at the University Hospitals of Geneva. Demographic characteristics, medical history, laboratory values, ECG at admission and medications at admission were collected based on electronic medical records. The primary outcome was a composite of in-hospital mortality or MACE.ResultsMedian age was 67 years, 453 (54%) were males and 277 (33%) had history of CVD. In total, 152 (18%) died and 687 (82%) were discharged, including 72 (9%) who survived a MACE. Patients with previous CVD were more at risk of composite outcomes 141/277 (51%) compared with those without CVD 83/562 (15%) (OR=6.0 (95% CI 4.3 to 8.4), p<0.001). Multivariate analyses showed that history of CVD remained an independent risk factor of in-hospital death or MACE (OR=2.4; (95% CI 1.6 to 3.5)), as did age (OR for a 10-year increase=2.2 (95% CI 1.9 to 2.6)), male gender (OR=1.6 (95% CI 1.1 to 2.3)), chronic obstructive pulmonary disease (OR=2.1 (95% CI 1.0 to 4.2)) and lung infiltration associated with COVID-19 at CT scan (OR=1.9 (95% CI 1.2 to 3.0)). History of CVD (OR=2.9 (95% CI 1.7 to 5)), age (OR=2.5 (95% CI 2.0 to 3.2)), male gender (OR=1.6 (95% CI 0.98 to 2.6)) and elevated C reactive protein (CRP) levels on admission (OR for a 10 mg/L increase=1.1 (95% CI 1.1 to 1.2)) were independent risk factors for mortality.ConclusionHistory of CVD is associated with higher in-hospital mortality and MACE in hospitalised patients with COVID-19. Other factors associated with higher in-hospital mortality are older age, male sex and elevated CRP on admission.


2020 ◽  
Vol 17 (S3) ◽  
Author(s):  
Melissa Bauserman ◽  
Vanessa R. Thorsten ◽  
Tracy L. Nolen ◽  
Jackie Patterson ◽  
Adrien Lokangaka ◽  
...  

Abstract Background Maternal mortality is a public health problem that disproportionately affects low and lower-middle income countries (LMICs). Appropriate data sources are lacking to effectively track maternal mortality and monitor changes in this health indicator over time. Methods We analyzed data from women enrolled in the NICHD Global Network for Women’s and Children’s Health Research Maternal Newborn Health Registry (MNHR) from 2010 through 2018. Women delivering within research sites in the Democratic Republic of Congo, Guatemala, India (Nagpur and Belagavi), Kenya, Pakistan, and Zambia are included. We evaluated maternal and delivery characteristics using log-binomial models and multivariable models to obtain relative risk estimates for mortality. We used running averages to track maternal mortality ratio (MMR, maternal deaths per 100,000 live births) over time. Results We evaluated 571,321 pregnancies and 842 maternal deaths. We observed an MMR of 157 / 100,000 live births (95% CI 147, 167) across all sites, with a range of MMRs from 97 (76, 118) in the Guatemala site to 327 (293, 361) in the Pakistan site. When adjusted for maternal risk factors, risks of maternal mortality were higher with maternal age > 35 (RR 1.43 (1.06, 1.92)), no maternal education (RR 3.40 (2.08, 5.55)), lower education (RR 2.46 (1.54, 3.94)), nulliparity (RR 1.24 (1.01, 1.52)) and parity > 2 (RR 1.48 (1.15, 1.89)). Increased risk of maternal mortality was also associated with occurrence of obstructed labor (RR 1.58 (1.14, 2.19)), severe antepartum hemorrhage (RR 2.59 (1.83, 3.66)) and hypertensive disorders (RR 6.87 (5.05, 9.34)). Before and after adjusting for other characteristics, physician attendance at delivery, delivery in hospital and Caesarean delivery were associated with increased risk. We observed variable changes over time in the MMR within sites. Conclusions The MNHR is a useful tool for tracking MMRs in these LMICs. We identified maternal and delivery characteristics associated with increased risk of death, some might be confounded by indication. Despite declines in MMR in some sites, all sites had an MMR higher than the Sustainable Development Goals target of below 70 per 100,000 live births by 2030. Trial registration The MNHR is registered at NCT01073475.


Cancers ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1436
Author(s):  
Alain Bernard ◽  
Jonathan Cottenet ◽  
Philippe Bonniaud ◽  
Lionel Piroth ◽  
Patrick Arveux ◽  
...  

(1) Background: Several smaller studies have shown that COVID-19 patients with cancer are at a significantly higher risk of death. Our objective was to compare patients hospitalized for COVID-19 with cancer to those without cancer using national data and to study the effect of cancer on the risk of hospital death and intensive care unit (ICU) admission. (2) Methods: All patients hospitalized in France for COVID-19 in March–April 2020 were included from the French national administrative database, which contains discharge summaries for all hospital admissions in France. Cancer patients were identified within this population. The effect of cancer was estimated with logistic regression, adjusting for age, sex and comorbidities. (3) Results: Among the 89,530 COVID-19 patients, we identified 6201 cancer patients (6.9%). These patients were older and were more likely to be men and to have complications (acute respiratory and kidney failure, venous thrombosis, atrial fibrillation) than those without cancer. In patients with hematological cancer, admission to ICU was significantly more frequent (24.8%) than patients without cancer (16.4%) (p < 0.01). Solid cancer patients without metastasis had a significantly higher mortality risk than patients without cancer (aOR = 1.4 [1.3–1.5]), and the difference was even more marked for metastatic solid cancer patients (aOR = 3.6 [3.2–4.0]). Compared to patients with colorectal cancer, patients with lung cancer, digestive cancer (excluding colorectal cancer) and hematological cancer had a higher mortality risk (aOR = 2.0 [1.6–2.6], 1.6 [1.3–2.1] and 1.4 [1.1–1.8], respectively). (4) Conclusions: This study shows that, in France, patients with COVID-19 and cancer have a two-fold risk of death when compared to COVID-19 patients without cancer. We suggest the need to reorganize facilities to prevent the contamination of patients being treated for cancer, similar to what is already being done in some countries.


2021 ◽  
Vol 50 (Supplement_1) ◽  
pp. i7-i11
Author(s):  
A Goubar ◽  
O Almilaji ◽  
F C Martin ◽  
C Potter ◽  
G D Jones ◽  
...  

Abstract Background To maximise the benefits of hip fracture surgery the National Institute for Health and Care Excellence Clinical Guideline recommends mobilisation on the day after hip fracture surgery based a low to moderate quality trial with a small sample size. There is a need to generate additional evidence to support early mobilisation as a new UK Best Practice Tariff (BPT). Objective To determine whether mobilisation timing was associated with the cumulative incidence of hospital discharge by 30-days after hip fracture surgery, accounting for potential confounders and the competing risk of in-hospital death. Method We examined data for 135,105 patients 60 years or older who underwent surgery for nonpathological first hip fracture between January 2014 and December 2016 in any hospital in England or Wales. We tested whether the cumulative incidences of discharge differed between those mobilised early (within 36 hours of surgery) and those mobilised late accounting for potential confounders and the competing risk of in-hospital death. Results 106,722 (79%) of patients first mobilised early. The average rate of discharge was 60.1 (95% CI 59.8–60.5) per 1,000 patient days, varying from 65.2 (95% CI 64.8–65.6) among those who mobilised early to 44.5 (95% CI 43.9–45.1) among those who mobilised late, accounting for the competing risk of death. By 30-days postoperatively, the crude and adjusted odds ratios of discharge were 2.26 (95% CI 2.2–2.32) and 1.93 (95% CI 1.86–1.99) respectively among those who first mobilised early compared to those who mobilised late, accounting for the competing risk of death. Conclusion Early mobilisation led to a near two fold increase in the adjusted odds of discharge by 30-days postoperatively. We recommend inclusion of mobilisation within 36 hours of surgery as a new UK BPT to help reduce delays to mobilisation currently experienced by one-fifth of patients surgically treated for hip fracture.


2013 ◽  
Vol 84 (10) ◽  
pp. 740-744 ◽  
Author(s):  
Rami Subhi ◽  
Rachel Ooi ◽  
Felicity Finlayson ◽  
Tom Kotsimbos ◽  
John Wilson ◽  
...  

2021 ◽  
pp. jim-2021-001810
Author(s):  
Alejandro López-Escobar ◽  
Rodrigo Madurga ◽  
José María Castellano ◽  
Santiago Ruiz de Aguiar ◽  
Sara Velázquez ◽  
...  

The clinical impact of COVID-19 disease calls for the identification of routine variables to identify patients at increased risk of death. Current understanding of moderate-to-severe COVID-19 pathophysiology points toward an underlying cytokine release driving a hyperinflammatory and procoagulant state. In this scenario, white blood cells and platelets play a direct role as effectors of such inflammation and thrombotic response. We investigate whether hemogram-derived ratios such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio and the systemic immune-inflammation index may help to identify patients at risk of fatal outcomes. Activated platelets and neutrophils may be playing a decisive role during the thromboinflammatory phase of COVID-19 so, in addition, we introduce and validate a novel marker, the neutrophil-to-platelet ratio (NPR).Two thousand and eighty-eight hospitalized patients with COVID-19 admitted at any of the hospitals of HM Hospitales group in Spain, from March 1 to June 10, 2020, were categorized according to the primary outcome of in-hospital death.Baseline values, as well as the rate of increase of the four ratios analyzed were significantly higher at hospital admission in patients who died than in those who were discharged (p<0.0001). In multivariable logistic regression models, NLR (OR 1.05; 95% CI 1.02 to 1.08, p=0.00035) and NPR (OR 1.23; 95% CI 1.12 to 1.36, p<0.0001) were significantly and independently associated with in-hospital mortality.According to our results, hemogram-derived ratios obtained at hospital admission, as well as the rate of change during hospitalization, may easily detect, primarily using NLR and the novel NPR, patients with COVID-19 at high risk of in-hospital mortality.


Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Creighton Don ◽  
Douglas Stewart ◽  
Susan Heckbert ◽  
Charles Maynard ◽  
Richard Goss

BACKGROUND Studies of hospital quality and national performance measures for acute myocardial infarction (AMI) frequently exclude transfer patients. Little is known about the clinical characteristics and outcomes of patients with AMI transferred for revascularization. HYPOTHESIS Transfer patients have greater clinical comorbidity and worse hospital survival than non-transfer patients, and negatively impact hospital quality measures. METHODS A retrospective-cohort study was performed using all patients with ST-elevation myocardial infarction who underwent coronary intervention or coronary artery bypass grafting (CABG) in Washington State from 2002 – 2005. Data on clinical and procedural characteristics, medications, and complications were obtained from the Clinical Outcomes Assessment Program. Hospitals were compared by rates of death and discharge with aspirin, beta-blockers, lipid lowering agents, and ACE inhibitors. Logistic regression was used for adjusted analysis. RESULTS Of patients undergoing revascularization for AMI, 7080 were directly admitted and 2910 were transferred. Diabetes (23.4 v. 19.7%, p<0.01), hypertension (61.3 v. 55.7%, p<0.01), and thrombolysis (32.3 v. 3.4%, p <0.01) were greater among transfers. Transfers presented with a higher rate of left main and three-vessel disease, intra-aortic balloon pump use (6.4 v. 3.6%, p<0.01) and underwent CABG more frequently (15.4 v. 5.5%, p <0.01). Transfer patients had a lower risk of death (3.9 v. 4.9%, p=0.03), but no difference in discharge medication prescription. Adjusting for major risk factors, procedure, and hospital type, transfers had a similar risk for in-hospital death compared to non-transfers (OR 0.9, CI 0.5 – 1.6). Hospitals with a high percentage of transfers treated higher-risk patients, but had similar outcomes to those with few transfers. Excluding transfers from the hospital-level analysis did not appreciably change these results. CONCLUSION Transfers were higher-risk, but had similar in-hospital mortality and were equally likely to receive appropriate medication at discharge compared to directly admitted patients. Inclusion of transfers did not affect hospital-level inpatient mortality or measurements of adherence to quality guidelines.


Author(s):  
Richard Ofori-Asenso ◽  
Ella Zomer ◽  
Ken Chin ◽  
Si Si ◽  
Peter Markey ◽  
...  

The burden of comorbidity among stroke patients is high. The aim of this study was to examine the effect of comorbidity on the length of stay (LOS), costs, and mortality among older adults hospitalised for acute stroke. Among 776 older adults (mean age 80.1 ± 8.3 years; 46.7% female) hospitalised for acute stroke during July 2013 to December 2015 at a tertiary hospital in Melbourne, Australia, we collected data on LOS, costs, and discharge outcomes. Comorbidity was assessed via the Charlson Comorbidity Index (CCI), where a CCI score of 0–1 was considered low and a CCI ≥ 2 was high. Negative binomial regression and quantile regression were applied to examine the association between CCI and LOS and cost, respectively. Survival was evaluated with the Kaplan–Meier and Cox regression analyses. The median LOS was 1.1 days longer for patients with high CCI than for those with low CCI. In-hospital mortality rate was 18.2% (22.1% for high CCI versus 11.8% for low CCI, p < 0.0001). After controlling for confounders, high CCI was associated with longer LOS (incidence rate ratio [IRR]; 1.35, p < 0.0001) and increased likelihood of in-hospital death (hazard ratio [HR]; 1.91, p = 0.003). The adjusted median, 25th, and 75th percentile costs were AUD$2483 (26.1%), AUD$1446 (28.1%), and AUD$3140 (27.9%) higher for patients with high CCI than for those with low CCI. Among older adults hospitalised for acute stroke, higher global comorbidity (CCI ≥ 2) was associated adverse clinical outcomes. Measures to better manage comorbidities should be considered as part of wider strategies towards mitigating the social and economic impacts of stroke.


2019 ◽  
Vol 7 (5) ◽  
pp. 138
Author(s):  
Chukwubuike Kevin Emeka ◽  
Odetunde Oluwatoyin Arinola ◽  
Ekwochi Uchenna ◽  
Iheji Chukwunonso Chigozie ◽  
Eze Thaddeus Chikaodili

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