scholarly journals Risk and predictors of in-hospital mortality from COVID-19 in patients with diabetes and cardiovascular disease

2020 ◽  
Author(s):  
Hadith Rastad ◽  
Hossein Karim ◽  
Hanieh-Sadat Ejtahed ◽  
Ramin Tajbakhsh ◽  
Mohammad Noorisepehr ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Hospital Mortality ◽  
Lymphocyte Count ◽  
Mortality Data ◽  
Diabetic Patients ◽  
Logistic Regression Models ◽  
Risk Of Death ◽  
Number Of Patients ◽  
Increased Risk ◽  
Novel Coronavirus

Abstract Background: Diabetes mellitus (DM) and cardiovascular disease (CVD) are present in a large number of patients with novel Coronavirus disease 2019 (COVID-19). We aimed to determine the risk and predictors of in-hospital mortality from COVID-19 in patients with DM and CVD.Methods: This retrospective cohort study included hospitalized patients aged ≥ 18 years with confirmed COVID-19 in Alborz province, Iran, from 20 February 2020 to 25 March 2020. Data on demographic, clinical and outcome (in-hospital mortality) data were obtained from electronic medical records. Self-reported comorbidities were classified into the following groups: “DM” (having DM with or without other comorbidities), “only DM” (having DM without other comorbidities), “CVD” (having CVD with or without other comorbidities), “only CVD” (having CVD without other comorbidities), and “having any comorbidity”. Multivariate logistic regression models were fitted to quantify the risk and predictors of in-hospital mortality from COVID-19 in patients with these comorbidities.Results: Among 2957 patients with COVID-19, 2656 were discharged as cured, and 301 died. In multivariate model, DM (OR: 1.62 (95%CI: 1.14-2.30)) and only DM (1.69 (1.05-2.74)) increased the risk of death from COVID-19; but, both CVD and only CVD showed non-significant associations (p>0.05). Moreover, “having any comorbidities” increased the risk of in-hospital mortality from COVID-19 (OR: 2.66 (95%CI: 2.09 -3.40)). Significant predictors of mortality from COVID-19 in patients with DM were lymphocyte count, creatinine and C-reactive protein (CRP) level (all P- values < 0.05).Conclusions: Our findings suggest that diabetic patients have an increased risk of in-hospital mortality following COVID-19; also, lymphocyte count, creatinine and CRP concentrations could be considered as significant predictors for the death of COVID-19 in these patients.

scholarly journals Risk and predictors of in-hospital mortality from COVID-19 in patients with diabetes and cardiovascular disease

2020 ◽  
Author(s):  
Hadith Rastad ◽  
Hossein Karim ◽  
Hanieh-Sadat Ejtahed ◽  
Ramin Tajbakhsh ◽  
Mohammad Noorisepehr ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Hospital Mortality ◽  
Lymphocyte Count ◽  
Mortality Data ◽  
Diabetic Patients ◽  
Logistic Regression Models ◽  
Risk Of Death ◽  
Number Of Patients ◽  
Increased Risk ◽  
Novel Coronavirus

Abstract Background: Diabetes mellitus (DM) and cardiovascular disease (CVD) are present in a large number of patients with novel Coronavirus disease 2019 (COVID-19). We aimed to determine the risk and predictors of in-hospital mortality from COVID-19 in patients with DM and CVD.Methods: This retrospective cohort study included hospitalized patients aged ≥ 18 years with confirmed COVID-19 in Alborz province, Iran, from 20 February 2020 to 25 March 2020. Data on demographic, clinical and outcome (in-hospital mortality) data were obtained from electronic medical records. Self-reported comorbidities were classified into the following groups: “DM” (having DM with or without other comorbidities), “only DM” (having DM without other comorbidities), “CVD” (having CVD with or without other comorbidities), “only CVD” (having CVD without other comorbidities), and “having any comorbidity”. Multivariate logistic regression models were fitted to quantify the risk and predictors of in-hospital mortality from COVID-19 in patients with these comorbidities.Results: Among 2957 patients with COVID-19, 2656 were discharged as cured, and 301 died. In multivariate model, DM (OR: 1.62 (95%CI: 1.14-2.30)) and only DM (1.69 (1.05-2.74)) increased the risk of death from COVID-19; but, both CVD and only CVD showed non-significant associations (p>0.05). Moreover, “having any comorbidities” increased the risk of in-hospital mortality from COVID-19 (OR: 2.66 (95%CI: 2.09 -3.40)). Significant predictors of mortality from COVID-19 in patients with DM were lymphocyte count, creatinine and C-reactive protein (CRP) level (all P- values < 0.05).Conclusions: Our findings suggest that diabetic patients have an increased risk of in-hospital mortality following COVID-19; also, lymphocyte count, creatinine and CRP concentrations could be considered as significant predictors for the death of COVID-19 in these patients.

scholarly journals The risk factors for mortality of diabetic patients with severe COVID-19: A retrospective study of 167 severe COVID-19 cases in Wuhan

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243602
Author(s):  
Yan Hui ◽  
Yi Li ◽  
Xiwen Tong ◽  
Zhiqiong Wang ◽  
Xia Mao ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lactate Dehydrogenase ◽  
Mortality Risk ◽  
Lymphocyte Count ◽  
Cox Model ◽  
Interleukin 10 ◽  
Dynamic Monitoring ◽  
Diabetic Patients ◽  
Risk Of Death ◽  
Increased Risk

Diabetes is one of the most common comorbidities in adult patients with coronavirus disease 2019 (COVID-19). This study aimed to analyze the mortality risk factors of diabetic patients with COVID-19. A total of 167 patients with severe COVID-19, including 55 diabetic patients and 112 nondiabetic patients at Tongji Hospital, Wuhan, China from January 28, 2020, to March 10, 2020, were collected. The laboratory, radiological, management information, and medical history was retrospectively reviewed. Potential mortality risk factors in diabetic patients with COVID-19 were evaluated by the proportional hazard Cox model. The clinical information of 167 patients with severe COVID-19 was analyzed. The median age was 65.0 years. Approximately 32.9% of patients had diabetes. In total patients, older age, diabetes, and lymphocyte count were associated with increased risk of death. In diabetic patients, increased mortality was associated with decreased lymphocyte count (≤0.45×10⁹/L, HR 0.196, 95% CI 0.049–0.781, P = 0.021), lactate dehydrogenase >600 U/L (HR 8.010, 95% CI 1.540–41.670, P = 0.013), hsCRP >90 mg/L (HR 4.551, 95% CI 1.472–14.070, P = 0.009) and interleukin-10 >10 U/mL (HR 5.362, 95% CI 1.239–23.199, P = 0.025). COVID-19 patients with diabetes had a poor prognosis, especially when they had two or more of the following abnormalities (χ2 = 58.62, P<0.001): lymphocyte count was ≤0.45×10⁹/L, lactate dehydrogenase was >600 U/L, hsCRP was >90 mg/L and IL-10 was >10 U/mL. For diabetic patients with COVID-19, more attention should be paid to the dynamic monitoring of cytokine levels, and the control of hyperglycemia.

Circulating Stem/Progenitor Cells as Prognostic Biomarkers in Macro- and Microvascular Disease: A Narrative Review of Prospective Observational Studies

2018 ◽  
Vol 25 (35) ◽  
pp. 4507-4517 ◽  
Author(s):  
Mauro Rigato ◽  
Gian Paolo Fadini
Keyword(s):  
Cardiovascular Disease ◽  
Progenitor Cells ◽  
Cardiovascular Events ◽  
Observational Studies ◽  
English Language ◽  
Microvascular Disease ◽  
Patient Characteristics ◽  
Diabetic Patients ◽  
Increased Risk ◽  
Cell Phenotypes

Background: Circulating progenitor cells (CPCs) and endothelial progenitor cells (EPCs) are immature cells involved in vascular repair and related to many aspects of macro and microvascular disease. <p> Objective: We aimed to review studies reporting the prognostic role of CPCs/EPCs measurement on development of cardiovascular disease and microangiopathy. <p> Methods and Results: We reviewed the English language literature for prospective observational studies reporting the future development of cardiovascular disease or microangiopathy in patients having a baseline determination of CPCs/EPCs. We retrieved 34 studied reporting on cardiovascular outcomes and 2 studies reporting on microvascular outcomes. Overall, a reduced baseline level of CPCs/EPCs was associated with a significant increased risk of cardiovascular events, all-cause death, and onset/progression of microangiopathy. The most predictive phenotypes were CD34+ and CD34+CD133+. The main limitation was related to the high heterogeneity among studies in terms of patient characteristics and cell phenotypes. <p> Conclusion: The present review shows that a reduced level of circulating progenitor cells is a risk factor for the development of future cardiovascular events and death. In addition, low CPCs/EPCs levels predict the onset or worsening of microalbuminuria and retinopathy in diabetic patients.

scholarly journals Evaluating of the association between ABO blood groups and coronavirus disease 2019 (COVID-19) in Iraqi patients

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Ali H. Ad’hiah ◽  
Risala H. Allami ◽  
Raghdan H. Mohsin ◽  
Maha H. Abdullah ◽  
Ali J. R. AL-Sa’ady ◽  
...  
Keyword(s):  
Blood Groups ◽  
Abo Blood Groups ◽  
Risk Of Death ◽  
Increased Risk ◽  
Fluorescence Probing ◽  
Group A ◽  
Risk Of Disease ◽  
Novel Coronavirus ◽  
Polymorphic System ◽  
Made In

Abstract Background Susceptibility to the pandemic coronavirus disease 2019 (COVID-19) has recently been associated with ABO blood groups in patients of different ethnicities. This study sought to understand the genetic association of this polymorphic system with risk of disease in Iraqi patients. Two outcomes of COVID-19, recovery and death, were also explored. ABO blood groups were determined in 300 hospitalized COVID-19 Iraqi patients (159 under therapy, 104 recovered, and 37 deceased) and 595 healthy blood donors. The detection kit for 2019 novel coronavirus (2019-nCoV) RNA (PCR-Fluorescence Probing) was used in the diagnosis of disease. Results Mean age was significantly increased in patients compared to controls (49.8 ± 11.7 vs. 28.9 ± 6.6 years; p < 0.001). A similar observation was made in recovered (42.1 ± 10.4 vs. 28.9 ± 6.6 years; p < 0.001) and deceased (53.6 ± 9.7 vs. 28.9 ± 6.6 years; p < 0.001) cases. The mean age was also significantly increased in deceased cases compared to recovered cases (53.6 ± 9.7 vs. 42.1 ± 10.4 years; p < 0.001). There were gender-dependent differences in COVID-19 prevalence. The percentage of COVID-19 was higher in males than in females (all cases: 59.7 vs. 40.3%; recovered cases: 55.8 vs. 44.2%). Such male-gender preponderance was more pronounced in deceased cases (67.6 vs. 32.4%). Logistic regression analysis revealed that groups AB and B + AB were significantly associated with increased risk to develop COVID-19 (OR = 3.10; 95% CI 1.59–6.05; pc = 0.007 and OR = 2.16; 95% CI 1.28–3.63; pc = 0.028, respectively). No ABO-associated risk was observed in recovered cases. On the contrary, groups A (OR = 14.60; 95% CI 2.85–74.88; pc = 0.007), AB (OR = 12.92; 95% CI 2.11–79.29; pc = 0.042), A + AB (OR = 14.67; 95% CI 2.98–72.33; pc = 0.007), and A + B + AB (OR = 9.67; 95% CI 2.02–46.24; pc = 0.035) were associated with increased risk of death in deceased cases. Conclusions The findings of this study suggest that group AB may be a susceptibility biomarker for COVID-19, while group A may be associated with increased risk of death.

scholarly journals Mortality and high risk of major adverse events in patients with COVID-19 and history of cardiovascular disease

Open Heart ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. e001526
Author(s):  
Elena Tessitore ◽  
David Carballo ◽  
Antoine Poncet ◽  
Nils Perrin ◽  
Cedric Follonier ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Male Gender ◽  
Hospital Death ◽  
Chronic Obstructive ◽  
University Hospitals ◽  
Adverse Cardiovascular Event ◽  
Risk Of Death ◽  
Hospitalised Patients ◽  
Increased Risk ◽  
History Of

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.

scholarly journals The Epidemiology and Predictors of Outcomes Among Confirmed COVID-19 Cases in a Large Community Healthcare System in South Florida

2021 ◽  
Author(s):  
Shenae Samuels ◽  
Jianli Niu ◽  
Candice Sareli ◽  
Paula Eckardt
Keyword(s):  
Healthcare System ◽  
South Florida ◽  
Health Concern ◽  
Community Healthcare ◽  
Logistic Regression Models ◽  
Icu Admission ◽  
Large Community ◽  
Increased Risk ◽  
Predictors Of Outcomes ◽  
Novel Coronavirus

AbstractThe novel coronavirus disease 2019 (COVID-19) continues to be a major public health concern. The aim of this study was to describe the presenting characteristics, epidemiology and predictors of outcomes among confirmed COVID-19 cases seen at a large community healthcare system which serves the epicenter and diverse region of Florida. We conducted a retrospective analysis of individuals with lab-confirmed SARS-CoV-2 infection who were seen, from March 2, 2020 to May 31, 2020, at Memorial Healthcare System in South Florida. Data was extracted from a COVID-19 registry of patients with lab-confirmed SARS-CoV-2 infection. Univariate and backward stepwise multivariate logistic regression models were used to determine predictors of key study outcomes. There were a total of 1692 confirmed COVID-19 patients included in this study. Increasing age was found to be a significant predictor of hospitalization, 30-day readmission and death. Having a temperature of 38 °C or more and increasing comorbidity score were also associated with an increased risk of hospitalization. Significant predictors of ICU admission included having a saturated oxygen level less than 90%, hypertension, dementia, rheumatologic disease, having a respiratory rate greater than 24 breaths per minute. Being of Hispanic ethnicity and immunosuppressant utilization greatly increased the risk of 30-day readmission. Having an oxygen saturation less than 90% and an underlying neurological disorder were associated with an increased likelihood of death. Results show that a patient’s demographic, underlying condition and vitals at triage may increase or reduce their risk of hospitalization, ICU admission, 30-day readmission or death.

scholarly journals Outcomes of major trauma among patients with chronic kidney disease and receiving dialysis in Nova Scotia: a retrospective analysis

2021 ◽  
Vol 6 (1) ◽  
pp. e000672
Author(s):  
Ryan Pratt ◽  
Mete Erdogan ◽  
Robert Green ◽  
David Clark ◽  
Amanda Vinson ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Nova Scotia ◽  
Kidney Disease ◽  
Hospital Mortality ◽  
Major Trauma ◽  
Injury Severity ◽  
Cox Regression ◽  
Trauma Patients ◽  
Risk Of Death ◽  
Increased Risk

BackgroundThe risk of death and complications after major trauma in patients with chronic kidney disease (CKD) is higher than in the general population, but whether this association holds true among Canadian trauma patients is unknown.ObjectivesTo characterize patients with CKD/receiving dialysis within a regional major trauma cohort and compare their outcomes with patients without CKD.MethodsAll major traumas requiring hospitalization between 2006 and 2017 were identified from a provincial trauma registry in Nova Scotia, Canada. Trauma patients with stage ≥3 CKD (estimated glomerular filtration rate <60 mL/min/1.73 m2) or receiving dialysis were identified by cross-referencing two regional databases for nephrology clinics and dialysis treatments. The primary outcome was in-hospital mortality; secondary outcomes included hospital/intensive care unit (ICU) length of stay (LOS) and ventilator-days. Cox regression was used to adjust for the effects of patient characteristics on in-hospital mortality.ResultsIn total, 6237 trauma patients were identified, of whom 4997 lived within the regional nephrology catchment area. CKD/dialysis trauma patients (n=101; 28 on dialysis) were older than patients without CKD (n=4896), with higher rates of hypertension, diabetes, and cardiovascular disease, and had increased risk of in-hospital mortality (31% vs 11%, p<0.001). No differences were observed in injury severity, ICU LOS, or ventilator-days. After adjustment for age, sex, and injury severity, the HR for in-hospital mortality was 1.90 (95% CI 1.33 to 2.70) for CKD/dialysis compared with patients without CKD.ConclusionIndependent of injury severity, patients without CKD/dialysis have significantly increased risk of in-hospital mortality after major trauma.

scholarly journals Hemogram as marker of in-hospital mortality in COVID-19

2021 ◽  
pp. jim-2021-001810
Author(s):  
Alejandro López-Escobar ◽  
Rodrigo Madurga ◽  
José María Castellano ◽  
Santiago Ruiz de Aguiar ◽  
Sara Velázquez ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Hospital Admission ◽  
White Blood Cells ◽  
Rate Of Change ◽  
Hospital Death ◽  
Direct Role ◽  
Lymphocyte Ratio ◽  
Risk Of Death ◽  
Rate Of Increase ◽  
Increased Risk

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.

Prognostic significance of international normalised ratio and prothrombin time in Chinese acute ischaemic stroke patients

2022 ◽  
pp. postgradmedj-2021-141204
Author(s):  
Shoujiang You ◽  
Qiao Han ◽  
Xiaofeng Dong ◽  
Chongke Zhong ◽  
Huaping Du ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Ischaemic Stroke ◽  
Prothrombin Time ◽  
Hospital Discharge ◽  
Acute Ischaemic Stroke ◽  
Regression Models ◽  
Logistic Regression Models ◽  
Risk Of Death ◽  
Increased Risk ◽  
International Normalised Ratio

BackgroundWe investigated the association between international normalised ratio (INR) and prothrombin time (PT) levels on hospital admission and in-hospital outcomes in acute ischaemic stroke (AIS) patients.MethodsA total of 3175 AIS patients enrolled from December 2013 to May 2014 across 22 hospitals in Suzhou city were included. We divided patients into four groups according to their level of admission INR: (<0.92), Q2 (0.92–0.98), Q3 (0.98–1.04) and Q4 (≥1.04) and PT. Logistic regression models were used to estimate the effect of INR and PT on death or major disability (modified Rankin Scale score (mRS)>3), death and major disability (mRS scores 4–5) separately on discharge in AIS patients.ResultsHaving an INR level in the highest quartile (Q4) was associated with an increased risk of death or major disability (OR 1.69; 95% CI 1.23 to 2.31; P-trend=0.001), death (OR, 2.64; 95% CI 1.12 to 6.19; P-trend=0.002) and major disability on discharge (OR, 1.56; 95% CI 1.13 to 2.15; P-trend=0.008) in comparison to Q1 after adjusting for potential covariates. Moreover, in multivariable logistic regression models, having a PT level in the highest quartile also significantly increased the risk of death (OR, 2.38; 95% CI 1.06 to 5.32; P-trend=0.006) but not death or major disability (P-trend=0.240), major disability (P-trend=0.606) on discharge.ConclusionsHigh INR at admission was independently associated with death or major disability, death and major disability at hospital discharge in AIS patients and increased PT was also associated with death at hospital discharge.

scholarly journals Tuberculosis Mortality by Occupation in South Africa, 2011–2015

2018 ◽  
Vol 15 (12) ◽  
pp. 2756 ◽  
Author(s):  
Tahira Kootbodien ◽  
Kerry Wilson ◽  
Nonhlanhla Tlotleng ◽  
Vusi Ntlebi ◽  
Felix Made ◽  
...  
Keyword(s):  
South Africa ◽  
Smoking Status ◽  
Direct Method ◽  
Multivariate Logistic Regression Analysis ◽  
World Health ◽  
Health Concern ◽  
Mortality Data ◽  
Middle Income ◽  
Risk Of Death ◽  
Increased Risk

Work-related tuberculosis (TB) remains a public health concern in low- and middle-income countries. The use of vital registration data for monitoring TB deaths by occupation has been unexplored in South Africa. Using underlying cause of death and occupation data for 2011 to 2015 from Statistics South Africa, age-standardised mortality rates (ASMRs) were calculated for all persons of working age (15 to 64 years) by the direct method using the World Health Organization (WHO) standard population. Multivariate logistic regression analysis was performed to calculate mortality odds ratios (MORs) for occupation groups, adjusting for age, sex, year of death, province of death, and smoking status. Of the 221,058 deaths recorded with occupation data, 13% were due to TB. ASMR for TB mortality decreased from 165.9 to 88.8 per 100,000 population from 2011 to 2015. An increased risk of death by TB was observed among elementary occupations: agricultural labourers (MORadj = 3.58, 95% Confidence Interval (CI) 2.96–4.32), cleaners (MORadj = 3.44, 95% CI 2.91–4.09), and refuse workers (MORadj = 3.41, 95% CI 2.88–4.03); among workers exposed to silica dust (MORadj = 3.37, 95% CI 2.83–4.02); and among skilled agricultural workers (MORadj = 3.31, 95% CI 2.65–4.19). High-risk TB occupations can be identified from mortality data. Therefore, TB prevention and treatment policies should be prioritised in these occupations.

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