Trends towards day case surgery and enhanced recovery mean that postoperative venous thromboembolism (VTE) may increasingly arise after hospital discharge. However, hospital data alone are unable to capture adverse events that occur outside of the hospital setting. The National Institute for Health and Care Excellence has suggested the use of primary care data to quantify hospital care-related VTE. Data in surgical patients using these resources is lacking. The aim of this study was to measure VTE risk and associated mortality in general surgery using linked primary care and hospital databases, to improve our understanding of harm from VTE that arises beyond hospital stay.
This was a longitudinal cohort study using nationally linked primary care (Clinical Practice Research Datalink, CPRD), hospital administrative (Hospital Episodes Statistics, HES), population statistics (Office of National Statistics, ONS) and National Cancer Intelligence Network databases. Routinely collected information was used to quantify 90-day in-hospital VTE, 90-day post-discharge VTE and 90-day mortality in adults undergoing one of twelve general surgical procedures between 1st April 1997 and 31st March 2012. The earliest postoperative recording of deep vein thrombosis or pulmonary embolism in CPRD, HES and ONS was counted in each patient. Covariates from multiple datasets were combined to derive detailed prediction models for VTE and mortality. Limitation included the capture of VTE presenting to healthcare only and the lack of information on adherence to pharmacological thromboprophylaxis as there was no data linkage to hospital pharmacy records.
There were 981 VTE events captured within 90 days of surgery in 168005 procedures (23.7/1000 patient-years). Overall, primary care data increased the detection of postoperative VTE by a factor of 1.38 (981/710) when compared with using HES and ONS only. Total VTE rates ranged between 3.2/1000 patient-years in haemorrhoidectomy to 118.3/1000 patient-years in esophagogastric resection. Predictors of VTE included emergency surgery (OR = 1.91 95%CI 1.60–2.28, p<0.001), age (OR = 1.02 95%CI 1.02–1.03, p<0.001), body mass index (OR = 1.03 95%CI 1.01–1.04, p<0.001), previous VTE (OR = 8.07 95%CI 6.61–9.83, p<0.001), length of stay (OR = 1.00 95%CI 1.00–1.00, p = 0.007) and cancer stages II (OR = 1.38 95%CI 1.03–1.87, p = 0.033), III (OR = 1.50 95%CI 1.11–2.01, p = 0.008) and IV (OR = 1.63 95%CI 1.03–2.59, p = 0.038). Major organ resections had the greatest odds of VTE when adjusted for other risk factors including length of hospital stay. Post-discharge VTE accounted for 64.8% (636/981) of all recorded VTE. In-hospital VTE (165.4/1000 patient-years) was recorded more frequently than post-discharge VTE (16.2/1000 patient-years). Both in-hospital (OR = 2.07 95%CI 1.51–2.85, p<0.001) and post-discharge (OR = 4.03 95%CI 2.95–5.51, p<0.001) VTE independently predicted 90-day mortality. In patients who died and VTE was recorded on HES or CPRD (n = 56), VTE was one of the causes of death in 37.5% (21/56) of cases.
Citation: Bouras G, Burns EM, Howell A-M, Bottle A, Athanasiou T, Darzi A (2015) Risk of Post-Discharge Venous Thromboembolism and Associated Mortality in General Surgery: A Population-Based Cohort Study Using Linked Hospital and Primary Care Data in England. PLoS ONE 10(12): e0145759. https://doi.org/10.1371/journal.pone.0145759
Editor: Faiz Ahmad, Emory University School of Medicine, UNITED STATES
Received: October 8, 2015; Accepted: December 8, 2015; Published: December 29, 2015
Copyright: © 2015 Bouras et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Data Availability: All relevant data are within the paper and its Supporting Information files.
Funding: This project was supported by the Sowerby Foundation.
Competing interests: The authors have declared that no competing interests exist.
Postoperative venous thromboembolism (VTE) can have devastating effects on patients. However, VTE rates are difficult to estimate at population-level. In surgery, increasing trends towards day case operating, enhanced recovery and early discharge mean that a significant proportion of VTE may present after hospital discharge and be treated in the ambulatory setting.[1, 2]Previous studies report that VTE risk persists up to 90 days after surgery and beyond hospital stay.[3, 4] The National Institute for Health and Care Excellence (NICE) suggest the need to scrutinize primary care data to gain a complete picture of postoperative VTE at a population level and shape future thromboprophylaxis policy. Primary care physicians in the United Kingdom (UK) are well placed to observe post-discharge adverse events as they are often the first point of contact for patients in this scenario.
Studies evaluating Hospital Episodes Statistics (HES), an administrative hospital database in England, have estimated postoperative VTE rates in some surgical procedures.[7–9] However, HES by itself is limited to capturing in-hospital adverse events and those recorded during readmission. Linkage to primary care electronic health records allows for a multisource perspective of patients’ entire health journeys. Linked databases offer patient-level information by combining hospital administrative, primary care, population statistics and cancer registry databases. These resources have previously been used to quantify the risk of post-discharge VTE in patients with colorectal cancer and in hospitalized pregnant women.[10, 11] Whether linked data can evaluate postoperative VTE rates across different surgical procedures in patients with varying degrees of VTE risk has not previously been assessed.
Thromboprophylaxis guidelines in the UK have originated from the THRIFT (Thromboembolic Risk Factors Consensus Group) recommendations, which were derived from in-patient data. More recently, the importance of outpatient thromboprophylaxis to prevent post-discharge VTE in major cancer resection has been recognized. The current NICE guidelines recommend that general surgical patients receive either no thromboprophylaxis, in-patient thromboprophylaxis or thromboprophylaxis to 28 days after surgery based on defined VTE risk criteria. Analysis of linked hospital and primary care data may improve our understanding of post-discharge VTE risk and help develop future policy for outpatient thromboprophylaxis.
This study aims to measure postoperative VTE and associated mortality up to 90 days following general surgical procedures using linked hospital and primary care databases in England. The study evaluates surgical VTE risk, particularly that which continues in the outpatient setting, to explore whether these resources can increase our knowledge about surgical harm from a primary care perspective.
The UK has one of the largest numbers of electronic primary care health records in the world that can help evaluate the quality of care provided by the National Health Service (NHS). The Clinical Practice Research Datalink (CPRD), formerly the General Practice Research Database, has generated the highest number of peer-reviewed publications from primary care data of any such database globally. Other databases in the UK include The Health Improvement Network, Secure Anonymized Information Linkage System and Egerton Medical Information System, which offer fewer patients with linkage to other databases compared with CPRD. In CPRD, over 600 primary care practices covering 8.5% of the UK population are registered to use the Vision software for recording information during consultations. Anonymized patient information is automatically uploaded to CPRD with an ‘opt-out’ clause for patients in consenting practices. About 50% of CPRD practices are linked to in-patient HES data, which contain procedural and diagnostic information for each episode of hospital care in England. Additionally, 95% of HES-linked practices also have Office of National Statistics (ONS) linkage to death certificates that contain codes for causes of death. Only practices with HES and ONS linkage were included in the study. CPRD also offer linkages to clinical registries. Out of these, the National Cancer Intelligence Network (NCIN) database was relevant to this study. In patients with CPRD, HES and ONS linkage, 90% of cancer patients were linked to NCIN. Patient linkage was performed centrally using the NHS number. Database coverage was for index procedures performed between 1st April 1997 and 31st March 2012 with at least 90 days follow-up (to 30th June 2012) in all databases.
Surgical patients and indications for surgery were identified from the HES database as the accuracy of operative and diagnostic coding has previously been validated. Patients undergoing one of twelve index general surgical procedures coded in HES using the Classification of Interventions and Procedures from the Office of Population Census and Surveys (OPCS) version 4.4 and the International Classification of Diseases version 10 (ICD-10) (S1 Table) were included. These procedures represent the majority of emergency and elective general surgical operations in UK hospitals. Patients were included in the analysis if they were coded for an index procedure by a primary (in the first position of an episode of care) OPCS code for the first chronological operation during hospital admission. Only those patients in whom the index episode also specified a designated diagnosis (coded in the first position for diagnostic code by ICD-10) as the indication for surgery were included in the study. Only adults aged 18 or over were eligible. Patients were included if they met the up-to-standard criteria for data quality set by CPRD. These criteria incorporated patient and practice level parameters that filtered out poor quality data by identifying discrepancies in coding and periods of missing information.
Venous Thromboembolism Rate
VTE events were counted to calculate 30, 60 and 90-day VTE rates by combining data from CPRD, HES and ONS using diagnostic codes for deep vein thrombosis (DVT) and pulmonary embolism (PE) (S2 Table). In CPRD, medcodes are mapped equivalents of the widely used READ clinical coding system in primary care in the UK. Codes for VTE in CPRD have been reported previously. Validation against hospital correspondence and physician questionnaires found them to be 84% accurate. In CPRD, VTE was defined as a code for DVT or PE with evidence of anticoagulation between 15 days before and 90 days after the event, or death within 30 days of the event as previously described.[11, 19, 20] ICD-10 codes were used to identify DVT and PE in HES and ONS. In HES, VTE was recorded if it was coded during the index hospital admission (any diagnostic code except for the diagnostic code in the first position of the index episode) or if it was the reason for hospital readmission (first diagnostic code in an episode of readmission) within 90 days of surgery. In ONS, a VTE event was counted if it was recorded in a death certificate and death occurred within 90 days of surgery. Only the earliest recording of VTE after surgery in any database was counted in each patient. Short-term VTE rates were calculated for the most commonly performed procedures to allow for comparisons with studies that report VTE rates but have shorter follow-up.
Venous Thrombolism Risk
Multiple regression analysis for postoperative VTE was performed by entering risk factors outlined in the NICE thromboprophylaxis guidelines. In addition, cancer stage was incorporated into the model in light of growing recognition of cancer-specific variables in predicting surgical outcome. Year of surgery was also included to assess whether there were any associations over time. The covariates used to evaluate VTE risk together with the corresponding databases from which they were derived from are listed below:
- age (all databases)
- gender (all databases)
- previous VTE (CPRD and HES)
- body mass index (BMI) (CPRD)
- comorbidity (HES)
- emergency surgery (HES)
- length of stay (HES)
- year of surgery (HES)
- index surgical procedure (HES)
- cancer stage (NCIN)
- oral contraceptive pill (OCP) (CPRD)
- hormone replacement therapy (HRT) (CPRD)
Cancer stage was categorized according to the TNM classification system with stage grouping I-IV. Previous VTE was determined by identifying VTE codes in HES and CPRD before surgery. ICD-10 codes for fifteen different comorbidities (excluding malignancy and metastases) were adopted from a previous study. The presence of one or more comorbidities was evaluated against VTE risk in accordance with the risk assessment method described in the guidelines. The use of OCP and HRT were defined as a prescription for British National Formulary codes 7.3.1, 7.3.2, 13.6.2 and 188.8.131.52 within three months before surgery, as previously described.
In-Hospital and Post-Discharge Venous Thromboembolism
Whether VTE was recorded before or after hospital discharge was determined from the discharge date of the index hospital admission in HES. Post-discharge VTE was defined as those recorded in CPRD or ONS after the discharge date of the index admission, or those leading to hospital readmission after this date in HES. The remaining VTE events recorded in the index admission in HES or before the index discharge date in CPRD and ONS were classified as in-hospital VTE.
Death, date of death and cause of death were defined from ONS data. Multiple regression analysis explored the risk-adjusted effects of in-hospital and post-discharge VTE on mortality separately. To assess whether VTE recorded in CPRD and HES contributed to death, death certificates were evaluated after excluding patients with VTE recorded in ONS data only. VTE-related death was defined as death with recorded VTE in either CPRD or HES databases and VTE recorded as one of the causes of death. As VTE was always recorded before or at the time of death in this context, VTE was considered to cause or contribute to death these patients.
SPSS version 22.0 (SPSS for Windows, Chicago, Illinois) was used for all analyses. For logistic regression analysis all variables were entered into the model from the outset. Age, length of stay and BMI were treated as continuous variables. All other variables were categorical. For the analysis of VTE risk, gender and hormone treatment were combined in a single categorical variable. A p<0.05 was statistically significant for all tests.
Only recordings within five years before surgery were used to estimate preoperative BMI. Only BMI recordings of 12–75 were considered valid to exclude out-lying values. Multiple imputation of missing values modeled BMI against age, sex, socioeconomic status and diabetes. Missing data from the NCIN database were handled by categorizing patients as unknown cancer stage.
Data from 353 practices with patient-level linkage of CPRD, HES, ONS and NCIN were studied. From 1st April 1997 to 31st March 2012, 168005 primary surgical procedures were evaluated in 159039 patients. Patient characteristics and mortality for the twelve different procedures are presented in Table 1. The mean time from preoperative recording of BMI to surgery was 1.4 years. The proportion of patients with recorded BMI within five years before surgery ranged from 55.1% to 71.4%, except for in bariatric surgery where 95.1% of patients had these data. Previous history of VTE was recorded in 1.32% (2222/168005) of patients. Cancer stage data were available in 58.5% (23645/40452) of patients with malignancy. The availability of cancer stage data was highest (80.1%) in colorectal cancer resection (11629/14521) and lowest (9.5%) in small bowel resection (19/200).
Venous Thromboembolism Rate
Different datasets recorded VTE at different rates over time (Fig 1). Overall, CPRD recorded 56.0% (549/981), HES recorded 66.3% (650/981) and ONS recorded 8.3% (81/981) of all recorded VTE events. VTE was recorded in CPRD alone and not in any other database in 23.8% (136/571), 25.6% (207/810) and 27.6% (271/981) of VTE at 30, 60 and 90 days respectively. Some VTE events were recorded in more than one database (Fig 2). When VTE was recorded in two databases in the same patient, the overlap between CPRD and HES was 28.3% (278/981) and HES and ONS was 2.1% (21/981). Compared with using HES and ONS without CPRD, primary care data increased the detection of postoperative VTE by a factor of 1.38 (981/710).
When combining information from different databases, postoperative VTE was recorded in 571 (0.34%), 810 (0.48%) and 981 (0.58%) procedures at 30, 60 and 90 days respectively. Thirty-day VTE rates for the four most commonly performed procedures were 1.26% (238/18923), 0.22% (47/21383), 0.13% (60/46303) and 0.17% (56/32164) for colorectal resection, breast excision, inguinal hernia repair and laparoscopic cholecystectomy respectively. Ninety-day VTE rates ranged from 0.08% (14/17554) following haemorrhoidectomy to 2.92% (61/2091) following esophagogastric resection (Table 2). PE was recorded more frequently than DVT in all three databases. CPRD recorded the largest proportion of DVTs. There were 285, 398 and 75 PEs, and 283, 255 and 34 DVTs recorded in CPRD, HES and ONS respectively. Only in 5.6% (55/981) of procedures were both DVT and PE recorded in the same patient. Of these, DVT was recorded chronologically before PE in 56.4%(31/55) of patients while DVT was recorded on the same day as PE in 14.5% (8/55) of patients.
Venous Thromboembolism Risk
Regression analysis identified emergency surgery (OR = 1.91 95% CI 1.60–2.28, p<0.001), age (OR = 1.02 95%CI 1.02–1.03, p<0.001), BMI (OR = 1.03 95%CI 1.01–1.04, p = 0.001), previous history of VTE (OR = 8.07 95%CI 6.61–9.83, p<0.001), length of hospital stay (OR = 1.00 95%CI 1.00–1.00, p = 0.007), stage II cancer (OR = 1.38 95%CI 1.03–1.87, p = 0.033), stage III cancer (OR = 1.50 95%CI 1.11–2.01, p = 0.008) and stage IV cancer (OR = 1.63 95%CI 1.03–2.59, p = 0.038) as independent predictors of postoperative VTE (Table 3). Major organ resections (colorectal resection, small bowel resection, hepatopancreatobiliary resection, esophagogastric resection) were associated with the highest odds for VTE when adjusted for other covariates. While BMI was an independent risk factor for VTE, bariatric surgery per se was associated with a low risk of VTE when adjusted for predictor covariates including BMI.
In-Hospital and Post-Discharge Venous Thromboembolism
In-hospital VTE accounted for 35.2% (345/981) and post-discharge VTE accounted for 64.8% (636/981) of all recorded VTE (Table 4). The proportion of post-discharge VTE out of all VTE events ranged from 31.8% to 88.4% according to surgical procedure. HES recorded 86.4% (298/345) of all in-hospital VTE (VTE recorded during the index hospital admission) while CPRD recorded 71.7% (456/636) of all post-discharge VTE (recorded after the discharge date). The overall VTE rate was 23.7 per 1000 patient years. When taking into account the length of hospital stay in each patient, the frequency of in-hospital VTE was 165.4 per 1000 patient years while the frequency of post-discharge VTE was 16.2 per 1000 patient years.
There were 2426 deaths up to 90 days after surgery irrespective of whether VTE was the cause of death. Mortality in patients with recorded VTE was 11.8% (116/981). Over half of the deaths in patients with recorded VTE occurred after hospital discharge (51.7% — 60/116). Regression analysis revealed that both in-hospital (OR = 2.07 95%CI 1.51–2.85, p<0.001) and post-discharge VTE (OR = 4.03 95%CI 2.95–5.51, p<0.001) were independent predictors of mortality. Post-discharge VTE was associated with higher odds of death than in-hospital VTE. For the remaining covariates, emergency surgery, male gender, length of stay and cancer stage IV independently predicted 90-day mortality (Table 5). In those patients who died and in whom a VTE event was recorded on HES or CPRD (n = 56), VTE was recorded as one of the causes of death in 37.5% (21/56) of patients. In these VTE-related deaths, death was at least partly caused by VTE.
Principal Findings of Study
Patient-level linkage to CPRD helped identify more VTE events compared with using HES and ONS only. CPRD increased detection of VTE by almost 40%. Combining databases helped reveal similar VTE rates as reported from the National Surgical Quality Improvement Program (NSQIP), a dedicated registry for surgical adverse events.[2, 24–26] The highest rates were observed amongst in-patients (76.4 to 288.9 per 1000 patient years) but VTE was also detected after hospital discharge (2.6 to 82.1 per1000 patient years). As there was little overlap between HES and CPRD, VTE is either being treated entirely in the outpatient setting or not being recorded by hospitals and subsequently captured in primary care. Predictors of VTE included patient factors such as age, BMI, history of VTE and moderate to advanced cancer stage, as well as surgical factors such as emergency surgery and prolonged length of stay. Post-discharge VTE was associated with significant increases in mortality (OR = 4.03) when modeled against other predictors of death. Although inferences on causality cannot be made, a high proportion of VTE were also recorded in death certificates when recorded in HES and CPRD. Overall, the present analysis revealed significant harm from VTE in general surgery identified in the primary care setting, highlighting areas where refinement in policy may benefit patients.
Strengths and Weaknesses of Study
Surgical VTE rates were calculated using routinely collected population data, which requires less resources and allows for longer durations of follow-up compared with prospective national registries. Follow-up in NSQIP is performed through case notes review and limited to 30 days after surgery. Combining routine databases may be a reliable way of gaining insights into population-level outcomes and complimenting the results from prospective analyses. The inclusion codes and definition of VTE used in this study were specific.[19, 20] Such a narrow definition was chosen as this methodology has been previously validated but this may lead to undercounting of VTE events. On HES data there is no present on arrival flag. Therefore, when evaluating patients readmitted to hospital, only a VTE code in the primary diagnosis category was included. VTE codes for PE and DVT were included, while codes for superficial phlebitis and portal vein thrombosis were excluded.[4, 18] VTE derived from CPRD was considered valid if there was evidence of anticoagulation. For the purposes of risk stratification, linked databases offered high numbers of patients and covariates that helped develop a detailed model for VTE risk. Through the provision of highly granular information on a large scale, linked routine data may serve as the foundation for individualizing prophylaxis strategies in the future.
This study identified harm that presented to healthcare. The derived incidence of VTE was therefore lower than in prospective studies with clinical follow-up or assessment by imaging. As harm presenting to healthcare may vary considerably, data-driven research must take into account the type of health system from which the data is being generated. Another limitation of the study is the lack of information on pharmacological thromboprophylaxis making direct comparison of prescription data with CPRD challenging. Hospital pharmacy data were not present on HES, therefore it was not possible to determine adherence to thromboprophylaxis guidelines. Further linkage to hospital pharmacy records would clarify whether guidelines are being followed.
Comparison with Previous Studies
Population-based studies using HES and ONS suggested that the incidence of VTE is increased up to 90 days after in-patient surgery (31.2 per 1000 patient years) and day-case surgery (4.8 per 1000 patient years). Higher rates were observed in our study through the addition of primary care data. A significant number (51.7%) of deaths with a recording of VTE in at least one database occurred after hospital discharge. Lester and colleagues evaluated hospital admissions using HES and ONS and found that 37.6% (625/1661) of VTE-related deaths were post-discharge. The higher rate in the present study highlights the importance of this mechanism of harm in general surgery. Other authors have used linked hospital and primary care data to derive disease-specific VTE rates in the primary care population.[11, 30, 31] Walker et al reported incidences of 13.9 per 1000 patient years in cancer and 3.0 per 1000 patient years in non-cancer populations. The higher VTE rates in our study reflect the impact of surgical intervention on patients. In another study using the same linked dataset, the postoperative VTE rate for 4963 colorectal cancer resections was found to be 45.1 per 1000 patient years. The lower rate in this study compared with our results may have arisen from differences in cohort selection and analytical methods. In our study, all HES-recorded VTE were included regardless of whether patients had prescription data for anticoagulation. There may also have been differences in codes used to identify VTE. Codes used in previous studies were not published so it was not possible to determine whether they were the same as in our study.[11, 20]
In terms of routinely collected data from abroad, hospital administrative data in the United States have demonstrated VTE risk persisting up to 90 days after surgery. One study reports VTE rates of 1.1%, 1.5%, 0.4%, 0.2%, 0.2% and 0.1% for colorectal resection, small bowel resection, inguinal hernia repair, appendicectomy, laparoscopic cholecystectomy and thyroid/parathyroid resection respectively, generally lower than in the current study. The proportion of post-discharge VTE from these data range between 40–75%. Using prospectively collected NSQIP data, 30-day VTE rates are reported to be 1.90%, 0.23%, 0.09% and 0.19% in colorectal resection, breast excision, hernia repair and laparoscopic cholecystectomy respectively, similar to our study.[2, 24–26] Post-discharge VTE only accounts for about a third of VTE in the NSQIP database, because the follow-up is limited to 30 days.[1, 2] While the proportion of DVT and PE is not reported from administrative data, NSQIP reveals that about two-thirds of postoperative VTE is accounted for by DVT. The lower proportion of DVT in our study reflects the difference in methods of follow-up. While in NSQIP, patients are actively contacted during prospective follow-up to be questioned about symptoms of complications, our study relies on patients to present to healthcare. Our finding suggests that PE is more likely to present to healthcare than DVT. In linked database analysis, primary care data increased the detection of DVT, which were captured less reliably in hospital administrative and death certificate data.
Implications for Policy and Future Direction
The identification of deaths related to post-discharge VTE reiterates the importance of thromboprophylaxis and early intervention in preventing harm from VTE. Using the same dataset, Sultan et al. recommended extended thromboprophylaxis in pregnant women discharged from hospital. Walker et al. also proposed that thromboprophylaxis beyond 28 days may benefit patients with advanced colorectal cancer receiving multimodal treatment. In the year 2010, NICE introduced recommendations for extended thromboprophylaxis to 28 days after surgery in patients undergoing major cancer resection. Our analysis reveals that other procedures may also be associated with substantial post-discharge VTE risk. Some of these patients may benefit from extended thromboprophylaxis in addition to thromboprophylaxis during in-hospital stay. In addition to drives to shorten hospital stay, increasing complexity of treatments and changing population demographics may be some of the factors contributing to higher post-discharge VTE risk associated with general surgical procedures than previously appreciated. Prospective studies and randomized trials remain as gold standards to evaluate whether further refinement in policy could benefit some patient groups. Linked databases can improve our knowledge at population level serving as a platform for economic analysis and evaluation of safety. It would be important to consider both the impact on mortality and the health costs of VTE incurred to surviving patients.
Other adverse events may also be suited for measurement in primary care. This may widen the scope of using these resources to monitor patient safety and healthcare performance. In light of drives to transfer clinical skills and resources from hospitals to primary care, service providers and commissioners should embrace the use of linked routine databases as a valuable way of evaluating process and outcome within integrated health systems. Further work is necessary to validate these resources through direct comparisons with other types of data. As the linkage of healthcare databases increases, methods for coding and reporting of harm in multiple datasets should be standardized. CPRD is generated from one of several software systems used in primary care. As 98% of practices in the UK use electronic health records, achieving uniformity of primary care software systems and further population linkage with hospital records may allow for these resources to be developed for the purposes of service evaluation and driving quality improvements on a national scale. Furthermore, the identification of significant levels of post-discharge harm may be relevant to health systems with less integration of primary and secondary care services. The presented findings highlight the need to bridge care and for hospitals to offer support when patients return to the community for recuperation after surgery.
A large proportion of postoperative VTE was detected in the primary care setting. Evaluation of linked databases was a useful way of measuring postoperative VTE at population level. These resources identified a significant association between post-discharge VTE and mortality in general surgery.
S1 Table. Surgical operations defined by procedural (OPCS) and diagnostic (ICD-10) codes in HES.
This study was reviewed and approved by the CPRD Independent Scientific Advisory Committee Ref No. 13-078R. Ethical approval was granted from NRES Committee, Westminster, London Protocol No. STDA3106 on the 30th of September 2013.
GB affirms that the manuscript is an honest, accurate, and transparent account of the study being reported; that no important aspects of the study have been omitted; and that any discrepancies from the study as planned (and, if relevant, registered) have been explained.
Conceived and designed the experiments: GB EB AH AD. Performed the experiments: GB. Analyzed the data: GB AB TA. Contributed reagents/materials/analysis tools: GB AB TA. Wrote the paper: GB EB.
- 1. Kazaure HS, Roman SA, Sosa JA. Association of postdischarge complications with reoperation and mortality in general surgery. Arch Surg. 2012;147:1000–7. pmid:23165614
- 2. Merkow RP, Bilimoria KY, McCarter MD, Cohen ME, Barnett CC, Raval MV, et al. Post-discharge venous thromboembolism after cancer surgery: extending the case for extended prophylaxis. Ann Surg. 2011;254:131–7. pmid:21527843
- 3. White RH, Zhou H, Romano PS. Incidence of symptomatic venous thromboembolism after different elective or urgent surgical procedures. Thrombosis and haemostasis. 2003;90:446–55. pmid:12958614
- 4. Sweetland S, Green J, Liu B, Berrington de Gonzalez A, Canonico M, Reeves G, et al. Duration and magnitude of the postoperative risk of venous thromboembolism in middle aged women: prospective cohort study. BMJ (Clinical research ed). 2009;339:b4583.
- 5. National Institute for Health and Care Excellence. Venous thromboembolism (deep vein thrombosis and pulmonary embolism) in patients admitted to hospital. No. 92. NICE publisher. 2010.
- 6. Tsang C, Bottle A, Majeed A, Aylin P. Adverse events recorded in English primary care: observational study using the General Practice Research Database. The British journal of general practice: the journal of the Royal College of General Practitioners. 2013;63:534–42.
- 7. Sutton PA, El-Dhuwaib Y, Dyer J, Guy AJ. The incidence of post operative venous thromboembolism in patients undergoing varicose vein surgery recorded in Hospital Episode Statistics. Annals of the Royal College of Surgeons of England. 2012;94:481–3. pmid:23031765
- 8. Dyer J, Wyke S, Lynch C. Hospital Episode Statistics data analysis of postoperative venous thromboembolus in patients undergoing urological surgery: a review of 126,891 cases. Annals of the Royal College of Surgeons of England. 2013;95:65–9. pmid:23317732
- 9. Jameson SS, Bottle A, Malviya A, Muller SD, Reed MR. The impact of national guidelines for the prophylaxis of venous thromboembolism on the complications of arthroplasty of the lower limb. The Journal of bone and joint surgery British volume. 2010;92:123–9. pmid:20044690
- 10. Abdul Sultan A, West J, Tata LJ, Fleming KM, Nelson-Piercy C, Grainge MJ. Risk of first venous thromboembolism in pregnant women in hospital: population based cohort study from England. BMJ (Clinical research ed). 2013;347:f6099.
- 11. Walker AJ, West J, Card TR, Humes DJ, Grainge MJ. Variation in the risk of venous thromboembolism in people with colorectal cancer: a population-based cohort study from England. Journal of thrombosis and haemostasis: JTH. 2014;12:641–9. pmid:24977288
- 12. Thromboembolic Risk Factors (THRIFT) Consensus Group. Risk of and prophylaxis for venous thromboembolism in hospital patients. BMJ (Clinical research ed). 1992;305:567–74.
- 13. Bergqvist D, Agnelli G, Cohen AT, Eldor A, Nilsson PE, Le Moigne-Amrani A, et al. Duration of prophylaxis against venous thromboembolism with enoxaparin after surgery for cancer. The New England journal of medicine. 2002;346:975–80. pmid:11919306
- 14. Majeed A. Sources, uses, strengths and limitations of data collected in primary care in England. Health Statistics Quarterly 2004;21:5–14. pmid:15615148
- 15. Chen YC, Wu JC, Haschler I, Majeed A, Chen TJ, Wetter T. Academic impact of a public electronic health database: bibliometric analysis of studies using the general practice research database. PloS one. 2011;6:e21404. pmid:21731733
- 16. Eaton SC, Williams TJ, Puri S, VanStaa T. The feasibility of linking the English Hospital Episode Statistics to the GPRD. Pharmacoepidemiol Drug Saf. 2008;17.
- 17. Burns EM, Rigby E, Mamidanna R, Bottle A, Aylin P, Ziprin P, et al. Systematic review of discharge coding accuracy. Journal of public health (Oxford, England). 2012;34:138–48.
- 18. Vinogradova Y, Coupland C, Hippisley-Cox J. Exposure to combined oral contraceptives and risk of venous thromboembolism: a protocol for nested case-control studies using the QResearch and the CPRD databases. BMJ open. 2014;4:e004499. pmid:24713217
- 19. Lawrenson R, Todd JC, Leydon GM, Williams TJ, Farmer RD. Validation of the diagnosis of venous thromboembolism in general practice database studies. British journal of clinical pharmacology. 2000;49:591–6. pmid:10848723
- 20. Walker AJ, Card TR, West J, Crooks C, Grainge MJ. Incidence of venous thromboembolism in patients with cancer—a cohort study using linked United Kingdom databases. European journal of cancer (Oxford, England: 1990). 2013;49:1404–13.
- 21. Merkow RP, Kmiecik TE, Bentrem DJ, Winchester DP, Stewart AK, Ko CY, et al. Effect of including cancer-specific variables on models examining short-term outcomes. Cancer. 2013;119:1412–9. pmid:23184472
- 22. Sobin L, Gospodarowicz M, Wittekind C. TNM Classification of Malignant Tumours 7th Edition. International Union Against Cancer. 2009.
- 23. Bottle A. Understanding HSMRs—A toolkit on Hospital Standardised Mortality Ratios. Version 6.
- 24. Pannucci CJ, Shanks A, Moote MJ, Bahl V, Cederna PS, Naughton NN, et al. Identifying patients at high risk for venous thromboembolism requiring treatment after outpatient surgery. Ann Surg. 2012;255:1093–9. pmid:22584630
- 25. Reinke CE, Karakousis GC, Hadler RA, Drebin JA, Fraker DL, Kelz RR. Incidence of venous thromboembolism in patients undergoing surgical treatment for malignancy by type of neoplasm: An analysis of ACS-NSQIP data from 2005 to 2010. Surgery. 2012;152:186–92. pmid:22828139
- 26. Gangireddy C, Rectenwald JR, Upchurch GR, Wakefield TW, Khuri S, Henderson WG, et al. Risk factors and clinical impact of postoperative symptomatic venous thromboembolism. Journal of vascular surgery. 2007;45:335–41; discussion 41–2. pmid:17264013
- 27. Raftery J, Roderick P, Stevens A. Potential use of routine databases in health technology assessment. Health technology assessment (Winchester, England). 2005;9:1–92, iii-iv.
- 28. Agnelli G. Prevention of venous thromboembolism in surgical patients. Circulation. 2004;110:IV4–12. pmid:15598646
- 29. Lester W, Freemantle N, Begaj I, Ray D, Wood J, Pagano D. Fatal venous thromboembolism associated with hospital admission: a cohort study to assess the impact of a national risk assessment target. Heart. 2013;99:1734–9. pmid:24038168
- 30. Seaman HE, Langley SE, Farmer RD, de Vries CS. Venous thromboembolism and cyproterone acetate in men with prostate cancer: a study using the General Practice Research Database. BJU international. 2007;99:1398–403. pmid:17537215
- 31. Huerta C, Johansson S, Wallander MA, Garcia Rodriguez LA. Risk factors and short-term mortality of venous thromboembolism diagnosed in the primary care setting in the United Kingdom. Archives of internal medicine. 2007;167:935–43. pmid:17502535
- 32. Muntz J. Duration of deep vein thrombosis prophylaxis in the surgical patient and its relation to quality issues. Am J Surg. 2010;200:413–21. pmid:20409525
- 33. Bouras G, Burns EM, Howell AM, Bagnall NM, Lee H, Athanasiou T, et al. Systematic Review of the Impact of Surgical Harm on Quality of Life After General and Gastrointestinal Surgery. Ann Surg. 2014.
- 34. Darzi A. High quality care for all—NHS next stage review final report. Department of Health. 2008;CM7432.