"Never doubt that a small group of thoughtful, committed citizens can change the world. Indeed, it is the only thing that ever has."

Margaret Mead
Original article

Factors Associated with 30-day Unplanned Readmissions of Sepsis Patients: A Retrospective Analysis of Patients Admitted with Sepsis at a Community Hospital



Mortality from sepsis is decreasing in recent years owing to improved quality of care, targeted programs, and the implementation of sepsis bundles. This has led to an increased pool of sepsis survivors at risk of readmissions. Studies have shown that these sepsis readmissions are common and expensive. The factors associated with these readmissions remain elusive and have incited a lot of research in recent years. The 30-day sepsis readmission rate is increasingly being used as a quality metric for hospitals. A conducted a retrospective chart review analysis of patients admitted with sepsis to find factors affecting the 30-day readmissions of sepsis survivors.


Patients admitted to our hospital either on the medical-surgical floor or in the intensive care unit (ICU) with an administrative coding for sepsis between January 2014 to November 2015 were identified. A literature search, as well as expert opinion, was considered for the list of factors to be studied, including age, sex, residence on admission, length of stay, getting hemodialysis, hospitalization in the prior year, presence of acute kidney injury (AKI), source of sepsis, discharge disposition, receipt of red blood cell (RBC) products, and route of antibiotics on discharge. A univariate binary logistic regression analysis was performed to test the association between the above-mentioned variables and sepsis readmission. Variables with statistical significance in the univariate analysis were used to compute the multivariate regression analysis along, with adjusted OR and their 95% CI.


A total of 1297 patients were identified with sepsis. Of these, 1068 patients met inclusion criteria. The readmission rate in our study population was 19.19%, and 52% of the readmissions were secondary to an infectious cause. After controlling for the effect of all the potential confounders, the factors that showed a positive association with readmissions were hospitalizations in the year prior to the index hospitalization and discharge to either nursing home or short-term rehab. The requirement of the intensive care unit was not associated with increased readmission. High hemoglobin on discharge was associated with a reduced chance of readmission.


Readmissions after sepsis hospitalization are common and mostly caused by infections. Several factors associated with index sepsis hospitalization can be associated with readmissions. Some of these factors are modifiable and more research is needed to see if these readmissions can be prevented.


Sepsis continues to be a major public health problem in the United States. It is one of the most common causes of hospital admissions, accounting for a major portion of the healthcare expenditure of the country. According to Angus et al., severe sepsis accounted for over 750,000 hospital admissions in 1995, of which 383,000 received intensive care. Since then, various analyses have shown an increasing incidence of sepsis in the US population [1-2].

Over the last several decades, significant progress in understanding the sepsis pathophysiology, earlier recognition, and goal-directed therapies have led to improved outcomes in terms of sepsis mortality and increased number of sepsis survivors [3-4].

These sepsis survivors are often left with significant cognitive and physical disabilities, decreased quality of life, and increased morbidity, leading to an ongoing and long-term requirement for acute care. This causes a significant burden on the health care system [5-7].

Sepsis is one of the top 10 reasons for hospitalization in the United States and is increasingly becoming a common reason for readmissions [8-9]. The US spends around 24.3 billion dollars every year on sepsis-related hospitalization and around 2 billion on readmissions [10]. In an analysis of the 2013 Nationwide Readmissions Database by Mayr et al., sepsis formed a major proportion of unplanned 30-day readmissions as compared to the currently monitored four conditions [11]. These unplanned readmissions also had a longer mean length of stay and higher mean cost per admission.

In recent years, many studies have established increased readmission rates among patients admitted and treated for sepsis [12-13]. However, there is a paucity of studies identifying the reasons or factors associated with these readmissions. By identifying such factors associated with the index sepsis hospitalization, we can focus on the reduction and, ultimately, prevention of readmissions.

To identify some of the missing links, we conducted a retrospective study on patients admitted with sepsis at a community hospital, to identify factors associated with 30-day readmissions. In addition, we hypothesized that patients admitted to the intensive care unit would pose an increased risk of readmissions.

Materials & Methods

Study design

We performed a retrospective cohort study of adults hospitalized with sepsis or severe sepsis at Saint Vincent Hospital, Worcester - a community-based hospital - from January 2014 to November 2015. MetroWest Medical Center Institutional Review Board approved the study with an informed consent exemption.


The primary objective of the study was to determine the rate of 30-day readmissions in patients surviving sepsis in our hospital. The secondary objective was to identify the index hospitalization factors associated with readmission in sepsis patients.

Data collection

Adult patients (age>18) who were hospitalized with sepsis and severe sepsis were included in the study. Both medical and surgical patients were included in the study. Patients who were pregnant, discharged within 24 hours, died during the index hospitalization, transitioned to hospice, or transferred to an outside hospital were excluded from the study. A list of study patients was identified using the International Classification of Diseases, ninth revision, Clinical Modification (ICD-9-CM) codes. The diagnosis was confirmed by a chart review in the electronic medical record (EMR). The international consensus conference definition was used to define sepsis.


Two or more of the following conditions, along with a suspected or confirmed source of infection:

1) Temperature >38°C or <36°C; 2) Heart rate >90 beats per minute; 3) Respiratory rate >20 breaths per minute or PaCO2 <32 mmHg; 4) white blood cell (WBC) >12,000/cu mm, <4,000/cu mm, or >10% immature (band) forms.

Severe Sepsis

Sepsis associated with organ dysfunction, hypoperfusion, or hypotension. Hypoperfusion may include but is not limited to lactic acidosis, oliguria, or change in mental status.

Septic Shock

Sepsis-induced hypotension despite adequate fluid resuscitation requiring the use of inotropic or vasopressor agents.

The survivor cohort was analyzed for 30 days after the discharge. For each index hospitalization, patient-level characteristics (age, gender, comorbidities) and hospitalization data, including length of stay, source of infection, red blood cell transfusion, hemoglobin level, white blood cell (WBC) count, presence of renal failure, requirement of hemodialysis, discharge disposition, source of infection, route of antibiotics at discharge, and cause of readmission were collected. These factors were derived based on the combination of a review of previous positive and negative studies and expert opinion.

Statistical analysis

Readmission was considered as the outcome variable. Age, gender, residence at admission, length of stay, hemodialysis, prior hospitalization in one year, peak WBC, presence of AKI, source of infection, discharge disposition, ICU requirement, cause of readmission, duration of antibiotics, discharge hemoglobin, Clostridium difficile infection, red blood cell (RBC) transfusions, and antibiotics at discharge were considered explanatory variables.

A descriptive analysis was carried out by the mean and standard deviation for quantitative variables and by the frequency and proportion for categorical variables.

A univariate binary logistic regression analysis was performed to test the association between the explanatory variables and the outcome variables. The unadjusted odds ratio along with 95% CI are presented. Variables with a statistical significance in the univariate analysis were used to compute the multivariate regression analysis. The adjusted odds ratio along with the 95% CI are presented.

p-value <0.05 was considered statistically significant. IBM SPSS version 22 (IBM Corp., Armonk, NY, US) was used for the statistical analysis.



There were 1297 patients admitted with sepsis during our study period. A total of 157 patients died during the index hospitalization, and 72 either left against medical advice, transferred to another hospital, or transitioned to hospice, and thus were not considered for the analysis. A total of 1068 subjects were included in the final analysis. Of the 1068 subjects at risk for readmissions, 280 were admitted in the ICU and the remaining 788 were admitted on the medical-surgical floor.

The baseline characteristics at index hospitalization are given in Table 1.

Baseline characteristics of the study population at index hospitalizations.  
Clinical factors N=1068
<65 480 (44.94%)
>65 588 (55.06%)
Male 567 (53.09%)
Female 501 (46.91%)
Admission place
Home 818 (76.59%)
Nursing Home 203 (19.01%)
Short term rehab 35 (3.38%)
Jail 4 (0.37%)
Homeless 7 (0.66%)
Hospital transfer 1 (0.09%)
Yes 24 (2.25%)
No 1044 (97.75%)
R 107 (10.02%)
I 82 (7.68%)
F 42 (3.93%)
L 7 (0.66%)
E 14 (1.31%)
N/A 816 (76.4%)
AKI 252 (23.6%)
No AKI 816 (76.4%)
Prior hospitalization  
Yes 479 (44.85%)
No 589 (55.15%)
RBC Transfusion  
Yes 94 (8.8%)
No 974 (91.2%)
C.diff colitis  
Yes 51 (4.78%)
No 1017(95.22%)
Route of antibiotics at Discharge  
Oral 625 (58.52%)
Intravenous 246 (23.03%)
No antibiotics 197 (18.45%)
Source of infection  
Respiratory tract 481 (45.04%)
Genitourinary 271 (25.37%)
Skin/Soft -Tissue 134 (12.55%)
GI tract/Liver 113 (10.58%)
Musculoskeletal 24 (2.25%)
Heart 7 (0.66%)
Intra-vascular catheters 3 (0.28%)
Blood 23 (2.15%)
Unknown 12 (1.12%)
Discharge disposition  
Home 528 (49.44%)
Nursing home 182 (17.04%)
Short term rehab 358 (33.52%)
Discharge hemoglobin N=1064
  10.87±1.89 (10.75-10.98)
Peak WBC N=1067
  16.78±7.83 (16.31-17.25)
Length of hospitalization N=1066
  7.15±5.25 (6.84-7.47)
Duration of antibiotics N=1067
  12.08±9.14 (11.52-12.64)
Categorical variables are presented as counts and percentages; continuous variables are presented according to their observed distribution (means and standard deviation).

Among the total study population (1068), males aged >65 years formed a greater proportion. Four-hundred eighty (44.94%) participants were aged ≤65 years and 588 (55.06%) participants were aged >65 years; 567 (53.09%) participants were male while the remaining 501 (46.91%) participants were female. The majority of the participants presented from home, followed by the nursing home and short-term rehab. A large proportion of the patient population (44.85%) had previous hospitalizations in the past one year. The source of sepsis for the majority (45.04%) of the participants was respiratory tract infections, followed by the genito-urinary tract, skin/soft tissue, and gastrointestinal (GI) tract/liver, with 25.37%, 12.55%, and 10.58%, respectively. Bone/joints and blood were 2.25% and 2.15%, respectively. The majority of the patients were discharged home.

Hospital readmissions

A total of 205 (19.19%) patients were readmitted within 30 days. Of the 280 ICU patients, 72 (25.71%) patients were readmitted and of the 788 non-ICU patients, 133 (16.88%) patients were readmitted (Table 2). The majority of the readmissions across both populations was secondary to an infectious etiology (Table 3).

Readmission Total Non-ICU ICU
Yes 205 (19.19%) 133 (16.88%) 72 (25.71%)
Cause of readmission Total n=205
Infectious etiology 107 (52.20%)
Cardiovascular 26 (12.68%)
Gastrointestinal, hepatic and pancreatic diseases 21 (10.24%)
Musculoskeletal 12 (5.85%)
Respiratory system other than pneumonia 12 (5.85%)
CNS 8 (3.90%)
Genitourinary 8 (3.90%)
Hematological 3 (1.46%)
Psychiatric illness 2 (0.98%)
Neoplasm 2 (0.98%)
Opioid Overdose 2 (0.98%)
Alcohol withdrawal 1 (0.49%)
Lithium toxicity 1 (0.49%)

Factors associated with readmissions

The univariate logistic regression analysis identified associations between primary patient/hospitalization characteristics and 30-day readmissions (Table 4). The multivariate regression analysis was conducted for the factors, which showed a positive association on the univariate regression analysis (Table 5). After controlling for the effect of all the potential confounders, prior hospitalization in one year was significantly associated with readmission (adjusted odds ratio (AOR) 2.02, 95% CI 1.45 to 2.81, p-value <0.01). The other parameters that had shown a statistically significant association were the discharge disposition to short-term rehab (AOR 1.656, 95% CI 1.12 to 2.43, p-value 0.010) and nursing home (AOR 2.12, 95% CI 1.37 to 3.29, p-value 0.001), as compared with home. High discharge Hb was associated with a lower risk of readmission (AOR 0.842, 95% CI 0.75 to 0.93, p-value 0001). Length of stay, hemodialysis, duration of antibiotics, RBC transfusion, and ICU admission did not show an independent association with readmission.

Factor Un-adjusted odds ratio 95 % CI of odds ratio P value
Age (Base line= ≤65 years)
>65 year 1.1350 0.987 – 1.842 0.059
Gender (Base line=Male)
Female 1.020 0.752 – 1.384 0.897
Admission place (Base line= Home)
Nursing home 1.861 1.301 - 2.661 0.001
Short-term rehab 1.691 0.775 – 3.687 0.187
Jail 1.628 0.168 – 15.769 0.749
Length of stay 1.049 1.022 – 1.076 <0.001
Hemodialysis (Base line=No)
Yes 2.596 1.120 – 6.018 0.026
Prior hospitalization in 1 year (Base line=No)
Yes 2.553 1.863 – 3.498 <0.001
Peak WBC 1.003 0.984 – 1.022 0.774
Source of infection (Base line= Lungs)
Genito-Urinary Tract 0.760 0.517 – 1.117 0.162
GI tract/liver 0.652 0.386 – 1.100 0.109
Skin/Soft-Tissue 0.704 0.407 – 1.219 0.210
Bone/Joints 1.530 0.618 – 3.789 0.358
Blood 1.486 0.284 – 7.773 0.639
Heart 0.000 0.000  0.000
Intra-vascular catheters 1.032 0.374 – 2.538 0.951
Unknown 2.654 0.825 – 8.537 0.102
Discharge Disposition (Base line=Home)
Short-Term Rehab 2.252 1.579 – 3.213 <0.001
Nursing Home 3.005 1.993 – 4.531 <0.001
Duration of Abx.  1.003 0.987 – 1.020 0.772
Discharge Hb 0.748 0.680 – 0.822 <0.001
Clostridium -difficile infection (Base line=No)
Yes 1.636 0.867 – 3.087 0.128
RBC transfusions (Base line=No)
Yes 0.494 0.310 – 0.789 0.003
Abx at discharge (Base line=NA)
Oral 0.716 0.477 – 1.074 0.107
IV 1.366 0.875 – 2.134 0.170
ICU (Base line=No)
Yes 1.705 1.230 – 2.363 0.001
AKI (Base line=No)
Yes 1.163 0.819 1.652
Factor  Un-adjusted odds ratio  95 % CI of odds ratio P value
Length of stay 1.015 0.982-1.049 0.371
Hemodialysis (Base line=No)
Yes 1.945 0.803-4.712 0.141
Prior hospitalization in 1 year (Base line=No)
Yes 2.020 1.450-2.814 <0.001
D/C Dispo (Base line=Home)
Short-Term Rehab 1.656 1.127-2.433 .010
Nursing Home 2.126 1.374-3.291 .001
Duration of Abx 0.997 0.980-1.015 0.754
D/C Hb .842 .758-.935 0.001
RBC transfusions (Base line=No)
Yes 1.155 .687-1.941 0.586
ICU (Base line=No)
Yes 1.017 .685-1.510 0.933


The cumulative rate of sepsis readmissions, regardless of the requirement of intensive care in our study, was 19.19%. The readmission rate in subjects requiring intensive care was 25.71%, and in non-ICU subjects, it was noted to be 16.88%. This concludes that readmissions after sepsis hospitalizations are common. Similar readmission rates have been observed in prior studies, but a wide variation exists, likely secondary to the variable case-mix [14-17]. Similar to prior studies, our study also depicted that the incidence of 30-day readmissions of sepsis patients is similar to the currently tracked four Centers for Medicare & Medicaid Services (CMS) conditions [18-19]. We hypothesized that admission to the intensive care unit will be associated with a higher readmissions rate, as patients requiring the intensive care unit are generally sicker and have severe sepsis. However, we did not find any statistically significant association of the requirement for intensive care with readmissions. Similar findings have been reported in studies done by Jones et al. and Gadre [13,18].

In our study, the most common cause of readmissions was infectious etiology. This finding is supported by similar studies where the infectious cause appeared to be the cause of readmissions in around 50% of the patients. Gadre et al. found that 42% of the readmissions were due to infectious causes [18]. Similarly, Chang et al. reported that infections accounted for 59.3% of the primary diagnosis on readmission at 30 days [20]. It has been hypothesized that increased readmissions from infectious causes could represent either an unresolved prior infection or the acquisition of a new infection stemming from immunosuppression caused by sepsis. Nosocomial infections like catheter-associated urinary tract infection (CAUTI) and central line-associated bloodstream infection (CLABSI) are also more common in sepsis patients and, therefore, the prompt removal of catheters and central lines in these patients can potentially reduce these readmissions. We also noticed that cardiovascular conditions like congestive heart failure, myocardial infarction, gastrointestinal diseases, and pulmonary diseases other than pneumonia also formed a major proportion of readmissions. Some of these readmissions can be prevented by early and close follow-up of the patients in outpatient settings [13,15,18].

We studied several factors in association with readmissions. We found that, in general, patients with sepsis who presented from nursing homes, hospitalized at least once in the past year, received hemodialysis, had a longer hospital stay, required the intensive care unit, had blood transfusions, or were discharged to either nursing homes or short-term rehabs had incurred higher readmission odds. However, of these factors, only prior hospitalization in one year and discharge disposition to nursing homes were statistically and independently associated with readmissions.

Various studies have established that readmission rates vary according to the discharge destination [15,17-18]. In an analysis done by Prescott, patients who were discharged to a nursing home either for the first time or who resided at nursing homes on a chronic basis formed a disproportionately large proportion of readmissions [15]. Our study found that patients who were long-term residents of a nursing home at the time of the index hospitalization or were discharged to nursing homes or short-term rehab suffered higher readmission rates. Improved communications with post-acute care providers and close follow-up can have some role in the prevention of these admissions. Length of stay has also been extensively studied in relation to hospital stay outcomes and a longer stay has been associated with an increased risk of readmissions in medical patients [21-22]. A longer length of stay is associated with an increased risk of nosocomial infections and adverse drug reactions, which ultimately increases the risk of readmission [18,23]. However, we did not see the same association in our study, likely because these patients either incurred high mortality or were transitioned to hospice because of poor prognosis. Similar to the study done by Sun et al., we found that prior hospitalizations in the past year were independently associated with higher readmissions [24]. The presence of past hospitalizations signify high co-morbidities, and this factor does not seem to be modifiable.

High hemoglobin showed a negative association with readmissions. Some studies have shown that packed RBC transfusion is associated with increased 30-day readmission [24]. However, restrictive transfusion practices and improved hemoglobin at discharge can prevent readmissions from symptomatic anemia or a worsening of underlying coronary artery disease (CAD).

Lastly, renal replacement therapy was also associated with an increased risk of readmissions, but the association was not statistically significant. AKI and the requirement of hemodialysis have been shown to be well-associated with high mortality as well as an increased risk of readmissions in septic patients [25].


Our study concludes that readmissions after sepsis hospitalizations are common and mostly due to infectious causes. There are many factors associated with these readmissions, but a wide variation is noted across different studies. Only some of these factors are modifiable and not all hospital admissions are preventable. Some of the factors associated with readmissions are markers of the severity of illness rather than the target of intervention for readmission prevention. Nevertheless, readmissions after sepsis are common, and more research should be done to identify clear targets of intervention.


  1. Angus DC, Linde-Zwirble WT, Lidicker J, et al.: Epidemiology of severe sepsis in the United States: analysis of incidence, outcome, and associated costs of care. Crit Care Med. 2001, 318:1303-1310. 10.1001/jama.2017.13836
  2. Gaieski DF, Edwards JM, Kallan MJ, Carr BG: Benchmarking the incidence and mortality of severe sepsis in the United States. Crit Care Med. 2013, 41:1167-1174. 10.1097/CCM.0b013e31827c09f8
  3. Levy MM, Rhodes A, Phillips GS, et al.: Surviving sepsis campaign: association between performance metrics and outcomes in a 7.5-year study. Crit Care Med. 2015, 43:3-12. 10.1097/CCM.0000000000000723
  4. Rivers E, Nguyen B, Havstad S, et al.: Early goal-directed therapy in the treatment of severe sepsis and septic shock. New Engl J Med. 2001, 345:1368-1377. 10.1056/NEJMoa010307
  5. Winters BD, Eberlein M, Leung J, Needham DM, Pronovost PJ, Sevransky JE: Long-term mortality and quality of life in sepsis: a systematic review. Crit Care Med. 2010, 38:1276-1283. 10.1097/CCM.0b013e3181d8cc1d
  6. Lee H, Doig CJ, Ghali WA, Donaldson C, Johnson D, Manns B: Detailed cost analysis of care for survivors of severe sepsis. Crit Care Med. 2004, 32:981-985. 10.1097/01.CCM.0000120053.98734.2C
  7. Weycker D, Akhras KS, Edelsberg J, Angus DC, Oster G: Long-term mortality and medical care charges in patients with severe sepsis. Crit Care Med. 2003, 31:2316-2323. 10.1097/01.CCM.0000085178.80226.0B
  8. Trends in hospital inpatient stays in the United States, 2005-2014. HCUP statistical brief #225. (2017). Accessed: HCUP: http://www.hcup-us.ahrq.gov/reports/statbriefs/sb225-Inpatient-US-Stays- Trends.pdf.
  9. Trends in hospital readmissions for four high-volume conditions, 2009-2013. HCUP statistical brief #196. (2015). https://www.hcup-us.ahrq.gov/reports/statbriefs/sb196-Readmissions-Trends-High-Volume-Conditions.pdf.
  10. National Inpatient Hospital costs: the most expensive conditions by payer, 2013. HCUP statistical brief #204. (2013). https://www.hcup-us.ahrq.gov/reports/statbriefs/sb204-Most-Expensive-Hospital-Conditions.jsp.
  11. Mayr FB, Talisa VB, Balakumar V, Chang CH, Fine M, Yende S: Proportion and cost of unplanned 30-day readmissions after sepsis compared with other medical conditions. JAMA. 2017, 317:530-531. 10.1001/jama.2016.20468
  12. Ortego A, Gaieski DF, Fuchs BD, et al.: Hospital-based acute care use in survivors of septic shock. Crit Care Med. 2015, 43:729-737. 10.1097/CCM.0000000000000693
  13. Jones TK, Fuchs BD, Small DS, et al.: Post-acute care use and hospital readmission after sepsis. Ann Am Thorac Soc. 2015, 6:904-913. 10.1513/AnnalsATS.201411-504OC
  14. Mayr FB, Talisa VB, Balakumar V, Chang CH, Fine M, Yende S: Proportion and cost of unplanned 30-day readmissions after sepsis compared with other medical conditions. JAMA. 2017, 317:530-531. 10.1001/jama.2016.20468
  15. Prescott HC, Langa KM, Iwashyna TJ: Readmission diagnoses after hospitalization for severe sepsis and other acute medical conditions. JAMA. 2015, 313:1055-1057. 10.1001/jama.2015.1410
  16. Donnelly J, Hohmann S, Wang H: Unplanned readmissions after hospitalization for severe sepsis at academic medical center-affiliated hospitals. Crit Care Med. 2015, 43:1916-1927. 10.1097/CCM.0000000000001147
  17. Goodwin AJ, Rice DA, Simpson KN, Ford DW: Frequency, cost, and risk factors of readmissions among severe sepsis survivors. Crit Care Med. 2015, 43:738-746. 10.1097/CCM.0000000000000859
  18. Gadre SK, Shah M, Mireles-Cabodevila E, Patel B, Duggal A: Epidemiology and predictors of 30-day readmission in patients with sepsis. Chest. 2019, 155:483-490. 10.1016/j.chest.2018.12.008
  19. Hua M, Gong MN, Brady J, Wunsch H: Early and late unplanned rehospitalizations for survivors of critical illness*. Crit Care Med. 2015, 43:430-438. 10.1097/CCM.0000000000000717
  20. Chang D, Tseng C, Shapiro M: Rehospitalizations following sepsis: common and costly. Crit Care Med. 2015, 43:2085-2093. 10.1097/CCM.0000000000001159
  21. Kaboli PJ, Go JT, Hockenberry J, et al.: Associations between reduced hospital length of stay and 30-day readmission rate and mortality: 14-year experience in 129 veterans’ affairs hospitals. Ann Intern Med. 2012, 18:837-845. 10.7326/0003-4819-157-12-201212180-00003
  22. Hasan O, Meltzer DO, Shaykevich SA, et al.: Hospital readmission in general medicine patients: a prediction model. J Gen Intern Med. 2010, 25:211-219.
  23. Hauck K, Zhao X: How dangerous is a day in hospital? A model of adverse events and length of stay for medical inpatients. Med Care. 2011, 49:1068-1075. 10.1097/MLR.0b013e31822efb09
  24. Sun A, Netzer G, Small DS, Hanish A, Fuchs B, Gaieski D, Mikkelsen M: Association between index hospitalization and hospital readmission in sepsis survivors. Crit Care Med. 2016, 44:478-487. 10.1097/CCM.0000000000001464
  25. Horkan CM, Purtle SW, Mendu ML, Moromizato T, Gibbons FK, Christopher KB: The association of acute kidney injury in the critically ill and postdischarge outcomes: a cohort study*. Crit Care Med. 2015, 43:354-364. 10.1097/CCM.0000000000000706
Original article

Factors Associated with 30-day Unplanned Readmissions of Sepsis Patients: A Retrospective Analysis of Patients Admitted with Sepsis at a Community Hospital

Author Information

Aditi Singh Corresponding Author

Internal Medicine, St. Vincent Hospital, Worcester, USA

Milind Bhagat

Internal Medicine, Rhode Island Hospital, Providence, USA

Susan V. George

Internal Medicine, St. Vincent Hospital, Worcester, USA

Ramya Gorthi

Internal Medicine, St. Vincent Hospital, Worcester, USA

Chandrakanth Chaturvedula

Internal Medicine, St. Vincent Hospital, Worcester, USA

Ethics Statement and Conflict of Interest Disclosures

Human subjects: Consent was obtained by all participants in this study. MetroWest Medical Center issued approval 2016-022. Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue. Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work.

Original article

Factors Associated with 30-day Unplanned Readmissions of Sepsis Patients: A Retrospective Analysis of Patients Admitted with Sepsis at a Community Hospital

Figures etc.


Scholary Impact Quotient™ (SIQ™) is our unique post-publication peer review rating process. Learn more here.